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  <front>

    <journal-meta>
      <journal-id journal-id-type="publisher-id">JNTAS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Nuclear Technology in Applied Science</journal-title>
        <abbrev-journal-title abbrev-type="publisher">JNTAS</abbrev-journal-title>
      </journal-title-group>
      <publisher>
        <publisher-name>ACS Publisher</publisher-name>
        <publisher-loc>India</publisher-loc>
      </publisher>
    </journal-meta>

    <article-meta>

      <article-id pub-id-type="doi">10.48165/jntas.2026.14.01.05</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>

      <title-group>
        <article-title>Reassessment of Effective Doses for Selected Diagnostic Nuclear Medicine Procedures Using ICRP-Based Models and RADAR-2017</article-title>
      </title-group>

      <contrib-group>

        <contrib contrib-type="author" id="AU1">
          <name>
            <surname>M.T.</surname>
            <given-names>Taha</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
        </contrib>

        <contrib contrib-type="author" corresp="yes" id="AU2">
          <name>
            <surname>A.Y</surname>
            <given-names>Shahein</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
          <xref ref-type="corresp" rid="COR1"><sup>*</sup></xref>
        </contrib>

      </contrib-group>

      <aff id="aff1">
        <label>1</label>
        <institution>Radiation Protection Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo, Egypt</institution>
      </aff>

      <author-notes>
        <corresp id="COR1">
          <label>*</label>
          E-mail: <email>amanyyshahein@gmail.com</email>
        </corresp>
      </author-notes>

      <pub-date pub-type="epub">
        <year>2026</year>
      </pub-date>

      <volume>14</volume>
      <issue>1</issue>
      <fpage>37</fpage>
      <lpage>44</lpage>
      <issue-title>Jan-Dec 2026</issue-title>

      <history>
        <date date-type="received">
          <day>25</day>
          <month>2</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>8</day>
          <month>7</month>
          <year>2026</year>
        </date>
      </history>

      <abstract>
        <p>This study presents a standardized reassessment of age-dependent effective doses for commonly performed diagnostic nuclear medicine procedures using the cur- rent International Commission on Radiological Protection (ICRP) dosimetric framework. Unlike previous investigations that focused on individual radiophar- maceuticals, this work applies a unified methodology to multiple commonly used diagnostic agents, enabling consistent comparisons across adult and pediatric ref- erence phantoms. Effective doses were calculated for ⁹⁹mTc-sulfur colloid (liver and spleen imaging), ¹⁸F-FDG (whole-body positron emission tomography),
⁹⁹mTc-MIBI (myocardial perfusion imaging), and ¹³¹I-MIBG (neuroendocrine tu- mor imaging) using biokinetic models and dose coefficients from ICRP Publica- tions 103, 106, and 128 implemented in the SNMMI Nuclear Medicine Radiation Dose Tool (RADAR-2017). Pediatric-administered activities were estimated by linear body-weight scaling based on ORNL/ICRP reference phantoms.
Adult effective doses were 2.1 mSv for ⁹⁹mTc-sulfur colloid, 4.8 mSv for ¹⁸F-FDG, 5.8–6.0 mSv for ⁹⁹mTc-MIBI myocardial perfusion imaging, and 7.0 mSv for ¹³¹I- MIBG. Although pediatric-administered activities were substantially reduced, children exhibited higher effective doses per unit of administered activity due to age-dependent anatomical characteristics, reduced photon attenuation, and in- creased tissue radiosensitivity. These findings highlight the importance of age- specific dosimetric assessment and standardized activity selection in diagnostic nuclear medicine. While the present study does not evaluate image quality or clinical performance, it provides a robust dosimetric framework that may support protocol optimization, benchmarking against contemporary reference values, radiation protection practices, and future development of patient-specific imag- ing protocols. Effective dose is presented as a radiation protection quantity for comparing procedures and for supporting optimization strategies, rather than for estimating individual patient risk.</p>
      </abstract>

      <kwd-group kwd-group-type="author">
        <title>Keywords</title>
        <kwd>Effective dose</kwd>
        <kwd>age- dependence</kwd>
        <kwd>Nuclear Medicine Diagnostic Exams</kwd>
        <kwd>RADAR-2017</kwd>
      </kwd-group>

      <funding-group>
        <funding-statement>No specific funding was received for this study.</funding-statement>
      </funding-group>

    </article-meta>
  </front>

  <body>

    <sec id="S1">
      <title>Introduction</title>
      <p>In the field of nuclear medicine, radiation is utilized for diagnostic and therapeutic applications. Because ioniz- ing radiation can cause biological effects, ensuring safety through comprehensive radiation protection  programs  is critical. International radiation protection guidance is- sued by the IAEA and ICRP classifies radiation exposure in nuclear medicine into three principal categories: medi- cal exposure, occupational exposure, and public exposure. Each type requires distinct safety measures and regulatory control to ensure compliance with international standards.</p>
      <p>Medical exposure involves the deliberate application of ionizing radiation to patients for diagnostic imaging, ther- apeutic procedures, or biomedical research activities. For example, patients may receive ⁹⁹mTc-MDP for bone imag- ing or ¹³¹I for thyroid ablation. Both the IAEA and ICRP highlight the importance of justification, whereby each procedure must provide a clinical benefit that exceeds the associated radiation risk (ICRP, 2007)<bold>.</bold></p>
      <p>Occupational exposure refers to radiation doses incurred by workers because of their professional activities, includ- ing nuclear medicine technologists, radio pharmacists, and physicians. Such personnel are subject to continuous mon- itoring and protection through optimization strategies based on the ALARA (As Low as Reasonably Achievable) concept. ICRP Publication 103(ICRP, 2007) defines an oc- cupational effective dose limit of 20 mSv per year, averaged over five years, with a maximum of 50 mSv permitted in any single year. Safety measures include personal dosim- etry, use of shielding, and minimizing time near sources.</p>
      <p>Public exposure includes radiation doses received by in- dividuals who are neither occupationally exposed nor un- dergoing medical procedures, such as visitors or members of the public. Regulatory frameworks impose strict limits on public exposure, restricting the annual effective dose to a maximum of 1 mSv. Control measures include waste management, shielding design, and restricting access to radiation-controlled areas.</p>
      <p>The IAEA in 1999 emphasized the importance of compre- hensive radiation protection programs in nuclear medicine facilities to ensure safety across all exposure types. Such programs are founded on the three fundamental radiation protection principles: justification, optimization, and dose limitation. They also ensure adherence to local and inter- national safety standards through measures such as facil- ity shielding, worker training, quality assurance, and in- cident reporting. Implementing such programs promotes both patient safety and occupational and public health.  In modern nuclear medicine, radiopharmaceuticals play  a vital role in diagnosing and treating many diseases. To use these materials safely and effectively, strong radiation protection programs must be established based on the core</p>
      <p>principles of justification, optimization, and dose limita- tion. These measures are crucial to maximize the benefits of nuclear medicine while reducing radiation risks to pa- tients, healthcare workers, and the public.</p>
      <p>Diagnostic nuclear medicine procedures involve the ad- ministration of radiopharmaceuticals that deposit ionizing radiation energy in patient organs. These internal expo- sures contribute to stochastic risk and are quantified using the effective dose (E), which represents the weighted sum of equivalent doses to individual organs based on tissue ra- diosensitivity (Alnaaimi <italic>et al</italic>., 2022). ICRP recommends using E to compare and optimize medical exposures. Pa- tient radiation dose depends on administered activity, iso- tope physical half-life, and biokinetics in the body. Inter- national guidance emphasizes justification of each imaging study and optimization of activity (ALARA) (Alnaaimi <italic>et al</italic>., 2022). Recent compendia (ICRP 128, 2015) provide updated dose coefficients for diagnostic radiopharmaceu- ticals (Cherry <italic>et al</italic>., 2012).</p>
      <p>In clinical practice, administered activities are adjusted ac- cording to patient age and body size, with pediatric pro- tocols commonly scaling activity by body weight or body surface area. Reference values exist for typical adult and pediatric administered activities. However, it is important to verify that these protocols yield effective doses consis- tent with expectations.</p>
      <p>Commonly used radiopharmaceuticals such as Techne- tium-99m (⁹⁹mTc), Iodine-131 (¹³¹I), and Fluorine-18 (¹⁸F- FDG) exhibit relatively short physical half-lives (6 hours, 8 days, and 110 minutes, respectively). Each radiophar- maceutical has specific diagnostic and therapeutic appli- cations: ⁹⁹mTc-sulfur colloid is employed for liver, spleen, and bone marrow imaging; ⁹⁹mTc-MIBI is used in cardiac, neuroendocrine tumors, and breast imaging; ¹³¹I is applied in the treatment of thyroid-related disorders and certain cancers; and ¹³¹I-MIBG serves as a targeted radiotherapy agent for neuroendocrine tumors. Additionally, ¹⁸F-FDG PET offers essential insights into tumor metabolism, com- plementing traditional methods. Diagnostic benchmarks have been set for various cancer-related uses (Elhaie <italic>et al</italic>., 2024). Although technical improvements continue, ¹⁸F- FDG PET increasingly integrates into multimodal cancer diagnosis protocols as recommended by guidelines.</p>
      <p>Several studies, including those by Cherry <italic>et al</italic>. (2012); Ali <italic>et al</italic>. (2021) and Shin <italic>et al</italic>. (2025), have focused on dose assessment methodologies, age-specific biokinetics, and occupational exposures during diagnostic and therapeu- tic procedures. These investigations highlight the ongoing need to refine dosimetric techniques and enhance the ac- curacy of radiation dose estimation for both patients and medical personnel.</p>
      <p>This study recalculates age-dependent and comparison</p>
      <p>with published reference values of effective doses for rep- resentative nuclear medicine diagnostic procedures using updated ICRP-103/106/128-based dosimetric methodol- ogy integrated within RADAR-2017 simulations. Effec- tive doses were estimated for adult and pediatric reference phantoms for four commonly used radiopharmaceuticals:</p>
      <p>⁹⁹mTc-sulfur colloid, ¹⁸F-FDG, ⁹⁹mTc-MIBI, and ¹³¹I-MIBG. The objectives were to quantify age-related dose variations, compare recalculated values with published benchmarks, and evaluate optimization strategies for improving radia- tion protection and dose management in routine clinical nuclear medicine practice.</p>
      <p>Unlike previous studies that typically evaluate individual radiopharmaceuticals or specific imaging procedures, the present work provides a unified reassessment of effective doses across multiple diagnostic nuclear medicine exami- nations using current ICRP-based dosimetric methodol- ogy. By combining standardized phantom calculations, contemporary biokinetic models, systematic benchmark- ing against published reference values, and age-depen- dent comparisons, the study offers an updated dosimetric framework that supports radiation protection assessments, protocol benchmarking, and future development of pa- tient-specific optimization strategies.</p>
    </sec>

    <sec id="S2">
      <title>Material and Method</title>
      <p>This study was designed as a computational dosimetric reassessment of effective doses associated with commonly performed diagnostic nuclear medicine procedures. No patient-specific imaging data or clinical measurements were collected. Instead, effective doses were calculated us- ing standardized anthropomorphic reference phantoms, published biokinetic models, and internationally recom- mended dose coefficients. The objective was to provide a consistent comparison of age-dependent effective doses across multiple diagnostic radiopharmaceuticals using a unified dosimetric methodology based on current Inter- national Commission on Radiological Protection (ICRP) recommendations.</p>
      <sec id="S2a">
        <title>Radiopharmaceuticals and Administration</title>
        <p>Four commonly used diagnostic radiopharmaceuticals were included in this study: ⁹⁹mTc-sulfur colloid for liver and spleen imaging, ¹⁸F-FDG for whole-body PET imag- ing, ⁹⁹mTc-MIBI for myocardial perfusion imaging (rest and stress), and ¹³¹I-MIBG for neuroendocrine tumor im- aging. Representative adult administered activities were selected from internationally recognized dosimetric refer- ences, including ICRP Publication 128, the SNMMI Nu- clear Medicine Radiation Dose Tool (RADAR-2017), and standard nuclear medicine literature. These values were chosen to represent typical clinical practice and to enable standardized comparisons rather than to reproduce lo-</p>
        <p>cal institutional protocols or Diagnostic Reference Levels (DRLs).</p>
        <p>In this study, we considered the following common diag- nostic tracers and protocols:</p>
        <p>Technetium-99m (⁹⁹mTc) sulfur colloid (liver–spleen scan, intravenous injection); typical adult activity ~185 MBq.</p>
        <p>Fluorine-18 (¹⁸F-FDG) (whole-body PET scan, intrave- nous); adult male (73.7 kg) activity ~250 MBq.</p>
        <p>(⁹⁹mTc-MIBI) (myocardial perfusion, intravenous): rest and stress phases (each ~740 MBq in adult).</p>
        <p>¹³¹I-MIBG (neuroendocrine tumor imaging, intravenous); adult activity ~44 MBq.</p>
        <p>These activities were based on standard adult protocols. Pediatric activities were scaled linearly by body weight (Han <italic>et al</italic>., 2006).</p>
      </sec>

      <sec id="S2b">
        <title>Pediatric Administered Activity Scaling</title>
        <p>Pediatric administered activities were estimated using lin- ear body weight scaling according to</p>
        <p>where A child is the administered activity for the pediatric reference phantom, A adult is the corresponding adult activ- ity, and W, represents body weight.</p>
        <p>This simplified scaling approach was chosen to ensure consistency with the standardized ICRP reference phan- tom methodology used throughout the study. It also aims to facilitate direct age-dependent dosimetric comparisons. The authors acknowledge that current clinical practices in- creasingly align with the European Association of Nuclear Medicine (EANM) Dosage Card and the North American Consensus Guidelines (Gelfand <italic>et al</italic>., 2011 and Fahey <italic>et al</italic>., 2016) both of which utilize nonlinear scaling meth- ods, procedure-specific correction factors, and minimum administered activities. Therefore, the scaling approach presented here should be viewed as a standardized com- putational method rather than a recommendation for pre- scribing clinical pediatric dosages.</p>
      </sec>

      <sec id="S2c">
        <title>Dose Coefficients and Biokinetics:</title>
        <p>Age-specific effective dose coefficients and radionuclide biokinetic data were obtained from ICRP Publications 106 and 128 (ICRP, 2008 and ICRP, 2015) and implemented using the SNMMI Nuclear Medicine Radiation Dose Tool (RADAR-2017). The calculations incorporated radionu- clide-specific organ uptake, biological clearance, and phys- ical decay characteristics described in the corresponding ICRP biokinetic models. Effective doses were calculated using ICRP Publication 103 tissue-weighting factors to en- sure consistency throughout the study (Hussin <italic>et al</italic>., 2017).</p>
      </sec>

      <sec id="S2d">
        <title>Dose Coefficients and Effective Dose Calculation:</title>
        <p>Effective dose calculations were performed using the SNMMI Nuclear Medicine Radiation Dose Tool (RA- DAR-2017, Version 2.2). For each radiopharmaceutical and age-specific reference phantom, the corresponding ef- fective dose coefficients (mSv MBq-¹) were selected from the datasets implemented within RADAR-2017. These co- efficients are based on the age-dependent biokinetic mod- els and dosimetric methodology described in ICRP Publi- cations 106 and 128, with effective doses calculated using the tissue-weighting factors recommended in ICRP Publi- cation 103. The selected datasets incorporate radionuclide- specific organ uptake, biological clearance, physical decay characteristics, and age-dependent anatomical reference phantoms adopted by the ICRP.</p>
        <p>Effective dose was calculated according to:</p>
        <p>(<xref ref-type="bibr" rid="R1">1</xref>)</p>
        <p>Where E is the effective dose in mSv, and A is the adminis- tered activity in MBq, and DC is the ICRP Dose Coefficient in mSv/MBq obtained from the RADAR-2017 database. The same dosimetric framework and dose coefficient data- sets were consistently applied to all radiopharmaceuticals to ensure methodological uniformity and facilitate direct comparisons across age groups and imaging procedures.</p>
        <p>This study focused solely on evaluating the effective dose. Organ-specific absorbed doses were not calculated be- cause the goal was to provide a standardized comparison of effective doses across representative diagnostic nuclear medicine procedures rather than to assess patient-specific internal dosimetry. Therefore, the calculated effective dos- es should be interpreted as radiation protection quantities for comparing imaging procedures and supporting proto- col benchmarking, rather than as estimates of individual patient risk.</p>
      </sec>

      <sec id="S2e">
        <title>Reference Patient Models</title>
        <p>Calculations were performed using standardized adult and pediatric anthropomorphic reference phantoms developed by ORNL and subsequently adopted within the ICRP do- simetric framework. The reference adult male body mass was 73.7 kg, while pediatric reference body masses were</p>
        <p>56.8 kg (15 years), 33.2 kg (10 years), 19.8 kg (5 years), and</p>
        <p>9.7 kg (1 year) (<xref ref-type="bibr" rid="R3">Bailey et al., 2014</xref>). These reference phan- toms represent average anatomical characteristics and were used solely for standardized dosimetric calculations rather than individualized patient assessment.</p>
        <p>The methodology was based on standardized reference phantoms and published biokinetic models and there- fore does not account for patient-specific anatomy, organ function, disease-related tracer kinetics, or imaging sys- tem characteristics. Consequently, the calculated effective doses should be interpreted as reference values suitable for comparative radiation protection assessments rather than individualized effective dose estimates.</p>
      </sec>

    </sec>

    <sec id="S3">
      <title>Results and Discussion</title>
      <p>The effective dose has been calculated based on the ad- ministered activity per body weight for various age groups: adults (73.7 kg), 15-year-olds (56.8 kg), 10-year-olds (33.2 kg), 5-year-olds (19.8 kg), and infants (1 year, 9.7 kg) (Han <italic>et al</italic>., 2006). Equation (<xref ref-type="bibr" rid="R2">2</xref>) describes pediatric activity scal- ing based on linear body-mass proportionality, whereby the administered activity for a child is calculated as the product of the standard adult activity and the ratio of child-to-adult body weight. This approach assumes approximate propor- tionality between patient mass and radiopharmaceutical distribution volume and is widely used for practical op- timization of pediatric administered activities. Although this method reduces injected activity in smaller patients, the resulting effective dose does not decrease proportion- ally because pediatric dose coefficients are generally higher due to smaller organ size, reduced photon attenuation, and increased tissue radiosensitivity (<xref ref-type="bibr" rid="R20">Verganelakis and Lyra- Georgosopoulou, 2022</xref>; <xref ref-type="bibr" rid="R6">Fahey et al., 2017</xref>).</p>
      <p>(<xref ref-type="bibr" rid="R2">2</xref>)</p>
      <p>99mTc-sulfur colloid (liver–spleen scan): The effective dose from intravenous injection administration of 99mTc sulfur colloid to varies age group patients shown in Table (<xref ref-type="bibr" rid="R1">1</xref>). The effective doses from 99mTc-sulfur colloid decrease from 2.1 mSv in adults to 1.1 mSv in 1-year-old patients due to re- duced administered activity. RADAR-2017 estimates agree closely with ICRP-128 reference values, confirming meth- odological validity. Despite lower absolute doses in chil- dren, dose per MBq remains higher due to smaller body mass.</p>
      <p>18F-FDG PET scan: The effective dose resulting from the in- travenous administration of 18F-FDG was assessed across var- ious patients age groups <bold>(</bold>Table 2<bold>)</bold>. Adult effective dose was 4.8 mSv, while pediatric doses reached up to 4.5 mSv despite lower administered activity. For pediatric patients, the administered activity was reduced proportionally according to body-weight scaling, decreasing from 203 MBq in 15-year-olds to 71 MBq in 5-year-olds. Despite this substantial reduction in injected activity, the effective dose decreased only modestly, from 4.5 mSv in 15-year-olds to 3.4 mSv in 5-year-olds. This relatively limited reduction indicates that decreasing administered ac- tivity does not produce a directly proportional reduction in radiation burden. Pediatric patients exhibit higher absorbed fractions because of smaller organ dimensions, shorter pho- ton path lengths, and reduced self-attenuation, which increase energy deposition in radiosensitive tissues. Age-dependent anatomical scaling and biokinetic differences incorporated into ICRP pediatric phantoms collectively increase absorbed dose per unit administered activity (ICRP, 2015; Fahey <italic>et al</italic>., 2017; Hussin <italic>et al</italic>., 2017). Results are consistent with pub- lished literature (Cherry <italic>et al</italic>., 2012; Hussin, <italic>et al</italic>., 2017) and emphasize pediatric dose optimization.</p>
      <p>Table 1. The RADAR estimated effective dose due to intravenous injection administration of 99mTc sulfur colloid to various age groups.</p>
      <table-wrap id="T1">
        <label>Table 1</label>
        <table>
        <tbody>
          <tr>
            <td>  Age</td>
            <td>  Average Activity MBq</td>
            <td>Estimated effective dose, RADAR-2017</td>
            <td>Published dose, ICRP-128, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>mSv</td>
            <td>mSv</td>
          </tr>
          <tr>
            <td>Adult</td>
            <td>185</td>
            <td>2.1</td>
            <td>2.6</td>
          </tr>
          <tr>
            <td>15 yrs.</td>
            <td>150</td>
            <td>1.9</td>
            <td>2.7</td>
          </tr>
          <tr>
            <td>10 yrs.</td>
            <td>88</td>
            <td>1.6</td>
            <td>2.5</td>
          </tr>
          <tr>
            <td>5 yrs.</td>
            <td>52</td>
            <td>1.3</td>
            <td>2.1</td>
          </tr>
          <tr>
            <td>1 yr.</td>
            <td>26</td>
            <td>1.1</td>
            <td>1.9</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p>· <italic>Route of Intake: Intravenous.</italic></p>
      <p>·       <italic>Radiopharmaceuticals: 99mTc sulfur collide.</italic></p>
      <p>· <italic>Scan type: (liver- spleen scan).</italic></p>
      <p>Table 2. The estimated effective dose due to intravenous injection of 18F-FDG to patients calculated for adults, 15, 10, and 5, respectively.</p>
      <p><bold> </bold></p>
      <table-wrap id="T2">
        <label>Table 2</label>
        <table>
        <tbody>
          <tr>
            <td>  Age</td>
            <td>  Activity MBq</td>
            <td>Estimated effective dose, RADAR-2017</td>
            <td>Author</td>
          </tr>
          <tr>
            <td> </td>
            <td>mSv</td>
            <td> </td>
          </tr>
          <tr>
            <td>Adult</td>
            <td>250</td>
            <td>4.8</td>
            <td>5.8 (Cherry et al., 2012)</td>
          </tr>
          <tr>
            <td>15 yrs.</td>
            <td>203</td>
            <td>4.5</td>
            <td>5.78 (Hussin et al., 2017)</td>
          </tr>
          <tr>
            <td>10 yrs.</td>
            <td>119</td>
            <td>3.8</td>
            <td>6.59 (Hussin et al., 2017)</td>
          </tr>
          <tr>
            <td>5 yrs.</td>
            <td>71</td>
            <td>3.4</td>
            <td>6.37 (Hussin et al., 2017)</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p><bold> </bold></p>
      <p>· <italic>Route of Intake: Intravenous.</italic></p>
      <p>·       <italic>Radiopharmaceuticals: 18F-FDG.</italic></p>
      <p>· <italic>Scan type: (Total body scan).</italic></p>
      <p>99mTc-MIBI (myocardial perfusion): The effective dose from the intravenous injection of 99mTc-MIBI (myocardi- al perfusion) was calculated for various age groups using the ICRP-128 biokinetic models, as shown in <bold>Table 3</bold>. For adult patients, the calculated effective doses were 5.8 mSv for resting studies and 6.0 mSv for stress studies, consistent with published diagnostic reference values (ICRP, 2015; Alnaaimi <italic>et al</italic>., 2022) and confirming the reliability of the RADAR- 2017 implementation.</p>
      <p>In pediatric patients, the effective dose generally decreases with lower administered activity, and this decrease is pro- portional to body mass. However, this does not imply a lower radiation burden per unit of administered activity. In fact, pediatric patients exhibit higher dose coefficients than adults when normalized (mSv/MBq) due to smaller anatomical structures and reduced photon attenuation.</p>
      <p>This is especially true for younger children, were smaller organ masses result in greater local energy deposition from emitted photons. Children’s physiological characteristics</p>
      <p>can also lead to prolonged tracer retention in critical or- gans, thereby increasing the absorbed dose per unit of ad- ministered activity. Thus, despite lower administered activ- ity, children’ s effective dose efficiency is higher. A 1-year- old phantom received an effective dose of 3.2 mSv during myocardial imaging, using only about 13% of the activity typically administered to adults. This example illustrates that reducing the administered activity does not lead to a proportional decrease in the effective dose. A similar trend was observed during stress imaging, emphasizing the need for stringent weight-based protocol optimization in pedi- atric cases to maintain diagnostic quality while minimiz- ing radiation exposure.</p>
      <p>The consistency of these findings with ICRP 128 reference data reinforces the validity of using standardized phantom models for age- dependent dosimetry. This underscores the necessity for individualized pediatric activity scaling rather than simple proportional reductions from adult protocols, aligning with current radiation protection prin- ciples.</p>
      <p>Table 3. The effective dose from the intravenous injection of 99mTc-MIBI (myocardial perfusion) was calculated for various age groups using the ICRP-128 biokinetic models.</p>
      <p><bold> </bold></p>
      <table-wrap id="T3">
        <label>Table 3</label>
        <table>
        <tbody>
          <tr>
            <td>Myocardial resting</td>
          </tr>
          <tr>
            <td>Age</td>
            <td>Activity MBq</td>
            <td>Estimated dose, mSv. RADAR-2017</td>
            <td>Published estimated dose, mSv.</td>
          </tr>
          <tr>
            <td>Adult</td>
            <td>740</td>
            <td>5.8</td>
            <td>7.4, (Alnaaimi et al., 2022)</td>
          </tr>
          <tr>
            <td>15 yrs.</td>
            <td>600</td>
            <td>6.5</td>
            <td>6.7, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>10 yrs.</td>
            <td>350</td>
            <td>4.8</td>
            <td>4.8, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>5 yrs.</td>
            <td>209</td>
            <td>3.7</td>
            <td>3.5, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>1 yr.</td>
            <td>103</td>
            <td>3.5</td>
            <td>3.2, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>Myocardial exercise</td>
          </tr>
          <tr>
            <td>Adult</td>
            <td>740</td>
            <td>6</td>
            <td>6, (Alnaaimi et al., 2022)</td>
          </tr>
          <tr>
            <td>15 yrs.</td>
            <td>600</td>
            <td>5.7</td>
            <td>5.3, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>10 yrs.</td>
            <td>350</td>
            <td>4.9</td>
            <td>4.9, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>5 yrs.</td>
            <td>209</td>
            <td>4.2</td>
            <td>3.9, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>1 yr.</td>
            <td>103</td>
            <td>3.1</td>
            <td>2.9, (ICRP, 2015)</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p><bold> </bold></p>
      <p>· <italic>Route of Intake: Intravenous.</italic></p>
      <p>·       <italic>Radiopharmaceuticals: 99mTc - MIBI.</italic></p>
      <p>· <italic>Scan type: Myocardial scan.</italic></p>
      <p>131I-MIBG (neuroendocrine tumor imaging): The effective dose associated with intravenous administration of 131I- MIBG for tumor imaging has been evaluated across various age demographics, as illustrated in Table (<xref ref-type="bibr" rid="R4">4</xref>). Adult effec- tive dose reached 7.0 mSv, decreasing to 4.4 mSv in infants. The higher doses of iodine-131 are due to its long physical half-life, extended biological retention, and higher emitted radiation energy.</p>
      <p>The analysis presented in Table (<xref ref-type="bibr" rid="R4">4</xref>) underscores significant age-related trends in radiation exposure associated with various radiopharmaceuticals. Pediatric patients receive</p>
      <p>a higher effective dose per administered MBq than adults because of their smaller organ masses, reduced photon at- tenuation, and increased tissue radiosensitivity. This age- dependent increase in dose coefficients necessitates rigor- ous justification of nuclear medicine procedures and careful optimization of administered activity in accordance with es- tablished pediatric dosage guidelines to maintain diagnostic efficacy while minimizing radiation risk (Fahey <italic>et al</italic>., 2017). The ranges of effective dose (a few mSv) are consistent with published effective dose compendia for diagnostic nuclear medicine (Cherry <italic>et al</italic>., 2012; SNMMI.org, 2018).</p>
      <p>Table 4. Effective dose for 131I-MIBG (neuroendocrine tumor imaging) evaluated across various age demographics.</p>
      <p><bold> </bold></p>
      <table-wrap id="T4">
        <label>Table 4</label>
        <table>
        <tbody>
          <tr>
            <td>  Age</td>
            <td>  Activity MBq</td>
            <td>Estimated effective dose, RADAR-2017</td>
            <td>Author</td>
          </tr>
          <tr>
            <td>mSv</td>
            <td>mSv</td>
          </tr>
          <tr>
            <td>Adult</td>
            <td>44</td>
            <td>7</td>
            <td>10.4, (Alnaaimi et al., 2022)</td>
          </tr>
          <tr>
            <td>15 yrs.</td>
            <td>36</td>
            <td>6.7</td>
            <td>6.2, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>10 yrs.</td>
            <td>21</td>
            <td>5.9</td>
            <td>5.6, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>5 yrs.</td>
            <td>12.5</td>
            <td>5.3</td>
            <td>5.1, (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>1 yr.</td>
            <td>6.1</td>
            <td>4.4</td>
            <td>4.5, (ICRP, 2015)</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p>· <italic>Route of Intake: Intravenous Injection.</italic></p>
      <p>·       <italic>Radiopharmaceuticals: 131I-MIBG.</italic></p>
      <p>· <italic>Scan type: Neuroendocrine Tumor Imaging.</italic></p>
      <p><bold>Table (<xref ref-type="bibr" rid="R5">5</xref>) </bold>provides a detailed overview of effective doses as- sociated with various diagnostic imaging procedures. The table illustrates how radiation exposure varies significantly depending on the radiopharmaceutical used, the adminis- tered activity, and the type of diagnostic procedure.</p>
      <p>The recalculated effective dose for the ⁹⁹mTc-sulfur colloid liver–spleen scan was 2.1 mSv, compared with the pub- lished reference value of 2.2 mSv. The observed difference of approximately 4.5% indicates close numerical consisten- cy with the reference dosimetric data. In comparison, the recalculated effective dose for whole-body ¹⁸F-FDG PET was 4.8 mSv, which is lower than the published reference value of 5.8 mSv. This difference is likely attributable to variations in dosimetric methodology, including updates to tissue-weighting factors, biokinetic models, and calcu- lation frameworks adopted in recent ICRP recommenda- tions. For myocardial perfusion imaging, the recalculated effective doses were 5.8 mSv for the resting protocol and</p>
      <p>6.0 mSv for the stress protocol, values that are consistent with the range reported in the literature for similar ad- ministered activities. The relatively higher effective doses observed for these procedures primarily reflect the larger administered activities required to achieve adequate image quality for myocardial perfusion assessment. Among the evaluated radiopharmaceuticals, ¹³¹I-MIBG produced the highest effective dose (7.0 mSv). This result is consistent with the radionuclide’s longer physical half-life, prolonged biological retention, and higher emitted radiation energy, which collectively increase radiation exposure compared with the technetium-99m– and fluorine-18–based radio- pharmaceuticals evaluated in this study. These findings emphasize that differences in effective dose among radio- pharmaceuticals are influenced by both radionuclide char- acteristics and administered activity and should therefore be considered when comparing diagnostic procedures and supporting radiation protection practices.</p>
      <p>Table 5. Overview of estimated effective doses for different nuclear medicine scan types in adults, alongside corresponding reference values from the literature.</p>
      <p><bold> </bold></p>
      <table-wrap id="T5">
        <label>Table 5</label>
        <table>
        <tbody>
          <tr>
            <td>Scan type. (Adult)</td>
            <td>Radiopharmaceuticals</td>
            <td>Administered activity (MBq)</td>
            <td>RADAR estimated effective dose, (mSv)</td>
            <td>Published values</td>
          </tr>
          <tr>
            <td>Liver- spleen</td>
            <td>99mTc sulfur colloid</td>
            <td>185</td>
            <td>2.1</td>
            <td>2.2 (ICRP, 2015)</td>
          </tr>
          <tr>
            <td>PET scan</td>
            <td>18FDG</td>
            <td>250*</td>
            <td>4.8</td>
            <td>5.8 (Cherry et al., 2012)</td>
          </tr>
          <tr>
            <td>Myocardial resting</td>
            <td>99mTc – MIBI</td>
            <td>740</td>
            <td>5.8</td>
            <td>7.4 (Alnaaimi et al., 2022)</td>
          </tr>
          <tr>
            <td>Myocardial stress</td>
            <td>99mTc – MIBI</td>
            <td>740</td>
            <td>6</td>
            <td>6 (Alnaaimi et al., 2022)</td>
          </tr>
          <tr>
            <td>Neuroendocrine tumor imaging</td>
            <td>131I-MIBG</td>
            <td>44</td>
            <td>7</td>
            <td>10.4 (Alnaaimi et al., 2022)</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p><bold> </bold></p>
      <p>· <italic>FDG-18 activity within the patient at start scan..</italic></p>
      <sec id="S3a">
        <title>Dose Optimization</title>
        <p>Table (<xref ref-type="bibr" rid="R6">6</xref>) compares effective doses for adult patients un- dergoing 18F-FDG PET imaging using the current study protocol (2.86 MBq/kg) and the Finland protocol (5.3 MBq/kg) (Oliveira <italic>et al</italic>., 2013). The mean effective dose decreased from 8.1 mSv (Finland protocol) to 5.2 mSv (current protocol), corresponding to an approximate dose reduction of 47%. These findings support the adoption of</p>
        <p>weight-based dosing strategies and modern imaging tech- nologies to minimize radiation exposure, in line with the ALARA principle.</p>
        <p>Lower administered activity has the potential to reduce effective dose. However, optimization requires simultane- ous maintenance of diagnostic image quality and clinical performance, which were outside the scope of the present dosimetric investigation.</p>
        <p><bold>Table 6. <italic>Effective doses for adult patient calculated in the current study compared to the Finland protocol</italic>.</bold></p>
        <table-wrap id="T6">
          <label>Table 6</label>
          <table>
          <tbody>
            <tr>
              <td>  Statistical parameters</td>
              <td>Current results</td>
              <td>Finland protocol (Oliveira et al., 2013).</td>
              <td>Estimated reduction in effective dose</td>
            </tr>
            <tr>
              <td>W (kg) adult</td>
              <td>Activity(MBq)</td>
              <td>E (mSv)</td>
              <td>Activity (MBq)</td>
              <td>E (mSv)</td>
              <td>%</td>
            </tr>
            <tr>
              <td>Mean</td>
              <td>74</td>
              <td>216</td>
              <td>5.2</td>
              <td>427</td>
              <td>8.1</td>
              <td>47</td>
            </tr>
            <tr>
              <td>Standard deviation</td>
              <td>21</td>
              <td>50</td>
              <td>0.4</td>
              <td>125</td>
              <td>2.3</td>
              <td>15</td>
            </tr>
          </tbody>
          </table>
        </table-wrap>

      </sec>

      <sec id="S3b">
        <title>Interpretation of Effective Dose</title>
        <p>Effective dose is a radiation protection quantity developed by the International Commission on Radiological Protec- tion (ICRP) for comparing radiation exposures between imaging procedures and supporting optimization at the population level. It should not be interpreted as an esti- mate of cancer risk for an individual patient, particularly in pediatric populations, because it is derived from refer- ence phantoms, standardized tissue-weighting factors, and population-averaged risk coefficients rather than patient- specific anatomical or biological characteristics. Conse- quently, although effective dose provides a useful metric for comparing diagnostic procedures and supporting ra- diation protection, individualized risk assessment should rely on patient-specific organ absorbed doses together with clinical considerations.</p>
      </sec>

      <sec id="S3c">
        <title>Diagnostic Reference Levels and Clinical Implications</title>
        <p>The findings of the present study should also be interpret- ed in the context of Diagnostic Reference Levels (DRLs), which are widely recognized as practical tools for opti- mizing patient radiation protection in diagnostic imaging (IAEA, 2014; Treves <italic>et al</italic>., 2014 and ICRP, 2017). In nucle- ar medicine, DRLs are typically expressed as administered activity rather than patient dose and are intended to help identify unusually high or low activity protocols that may warrant review. They are not regulatory dose limits but serve as benchmarking values that encourage optimization while maintaining adequate diagnostic image quality.</p>
        <p>The standardized effective dose estimates presented in this study complement the role of DRLs by providing a consis- tent dosimetric framework for comparing commonly used diagnostic radiopharmaceuticals across different patient age groups. The observed age-dependent increase in effec- tive dose per unit administered activity emphasizes the importance of carefully selecting administered activities in pediatric patients. Although the present work employed standardized body-weight scaling for comparative dosi- metric purposes, the results support the use of established pediatric-administered activity guidelines and institution- specific DRLs to promote consistent practice and mini- mize unnecessary radiation exposure.</p>
        <p>Comparison of administered activities and correspond- ing effective doses with published reference values also demonstrates the usefulness of standardized dosimetric assessments for benchmarking clinical protocols between institutions. Such comparisons can assist nuclear medi- cine departments in evaluating whether local protocols are consistent with internationally accepted practice and whether opportunities exist for reducing administered ac- tivity while preserving diagnostic performance. However, optimization should always consider image quality, scan- ner performance, acquisition parameters, reconstruction</p>
        <p>algorithms, and the specific clinical indication, because radiation protection must be balanced against diagnostic accuracy.</p>
        <p>Furthermore, because only effective dose was evaluated, the results should not be interpreted as estimates of in- dividual patient cancer risk, particularly for pediatric patients, where organ-specific absorbed dose provides a more appropriate basis for personalized risk assessment.</p>
        <p>Overall, the present study does not establish new DRLs or evaluate clinical image quality. Instead, it provides updated age-dependent effective dose estimates that may support future DRL development, protocol benchmarking, and ev- idence-based optimization of radiation protection in diag- nostic nuclear medicine in accordance with current ICRP and IAEA recommendations.</p>
      </sec>

    </sec>

    <sec id="S4">
      <title>Conclusions</title>
      <p>This study presents a standardized reassessment of age- dependent effective doses for commonly performed diag- nostic nuclear medicine procedures using current ICRP biokinetic models and the SNMMI Nuclear Medicine Ra- diation Dose Tool (RADAR-2017). By applying a unified dosimetric framework across multiple radiopharmaceuti- cals, the study provides consistent comparisons of effec- tive doses between adult and pediatric reference phantoms based on the latest ICRP recommendations. The results demonstrate that pediatric patients receive higher effective doses per unit administered activity than adults, highlight- ing the importance of age-specific dosimetric assessment and adherence to standardized pediatric administered ac- tivity guidelines.</p>
      <p>The findings contribute to radiation protection by provid- ing updated reference effective dose estimates that may support benchmarking of clinical practice, comparison with Diagnostic Reference Levels (DRLs), and periodic review of administered activity protocols. Although this study was limited to effective dose calculations using stan- dardized reference phantoms and did not evaluate image quality, organ-specific absorbed doses, or patient-specific biokinetics, the proposed methodology provides a prac- tical framework for standardized dosimetric assessment. Future studies integrating individualized dosimetry, pa- tient-specific biokinetic modeling, and quantitative im- age quality evaluation will further support evidence-based optimization of diagnostic nuclear medicine procedures while maintaining appropriate radiation protection prin- ciples.</p>
    </sec>

  </body>

  <back>

    <ref-list>
      <title>References</title>

      <ref id="R1">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Ali</surname><given-names>W., Sulieman, A., Tamam, N., Boshara, N., Aldhebaib, A., Alkhorayef, M., Khandaker, M. U</given-names></name>
            <name><surname>Bradley</surname><given-names>D. A</given-names></name>
          </person-group>
          <article-title>Estimation of patient’s organ doses and staff exposure during bone scan examination. <italic>Radiation Physics and Chemistry, 188</italic>, 109693</article-title>
          <year>2021</year>
          <pub-id pub-id-type="doi">10.1016/j.radphyschem.2021.109693</pub-id>
        </element-citation>
      </ref>

      <ref id="R2">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Alnaaimi</surname><given-names>M. A., Alduaij, M. A., Shenawy, F. A., Algaily, M. M., Mohammedzein, T. S., Alkandri, F. A., Shaban, M. O</given-names></name>
            <name><surname>Alenezi</surname><given-names>S. A</given-names></name>
          </person-group>
          <article-title>National diagnostic reference levels for nuclear medicine in Kuwait. <italic>Journal of Nuclear Medicine Technology, 50</italic>(1), 54–59</article-title>
          <year>2022</year>
          <pub-id pub-id-type="doi">10.2967/jnmt.121.263353</pub-id>
        </element-citation>
      </ref>

      <ref id="R3">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Bailey</surname><given-names>D. L., Humm, J. L., Todd-Pokropek, A</given-names></name>
            <name><surname>van Aswegen</surname><given-names>A</given-names></name>
          </person-group>
          <article-title><italic>Nuclear medicine physics: A handbook for teachers and students</italic></article-title>
          <source>International Atomic Energy Agency</source>
          <year>2014</year>
        </element-citation>
      </ref>

      <ref id="R4">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Cherry</surname><given-names>S. R., Sorenson, J. A</given-names></name>
            <name><surname>Phelps</surname><given-names>M. E</given-names></name>
          </person-group>
          <article-title><italic>Physics in nuclear medicine</italic> (4th ed.)</article-title>
          <source>Saunders</source>
          <year>2012</year>
        </element-citation>
      </ref>

      <ref id="R5">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Elhaie</surname><given-names>M., Koozari, A., Abedi, I</given-names></name>
            <name><surname>Monsef</surname><given-names>A</given-names></name>
          </person-group>
          <article-title>Advancing oncology through imaging: Evaluating FDG-PET’s role in cancer diagnosis and staging. <italic>Frontiers in Biomedical Technologies, 11</italic>(4), 662–669</article-title>
          <year>2024</year>
        </element-citation>
      </ref>

      <ref id="R6">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Fahey</surname><given-names>F. H., Goodkind, A. B., Plyku, D., Khamwan, K., O’Reilly, S. E., Cao, X., Frey, E. C., Li, Y., Bolch, W. E., Sgouros, G</given-names></name>
            <name><surname>Treves</surname><given-names>S. T</given-names></name>
          </person-group>
          <article-title>Dose estimation in pediatric nuclear medicine. <italic>Seminars in Nuclear Medicine, 47</italic>(2), 118–125</article-title>
          <year>2017</year>
          <pub-id pub-id-type="doi">10.1053/j.semnuclmed.2016.10.005</pub-id>
        </element-citation>
      </ref>

      <ref id="R7">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Fahey</surname><given-names>F. H., Bom, H. H. S., Chiti, A., Choi, Y. Y., Huang, G., Lassmann, M., Laurin, N., Mut, F., Nunez-Miller, R., O’Keeffe, D., Pradhan, P., Scott, A., Song, S., Soni, N., Uchiyama, M</given-names></name>
            <name><surname>Vargas</surname><given-names>L</given-names></name>
          </person-group>
          <article-title>Standardization of administered activities in pediatric nuclear medicine: A report of the first Nuclear Medicine Global Initiative project, part 2—Current standards and the path toward global standardization. <italic>Journal of Nuclear Medicine, 57</italic>(7), 1148–1157</article-title>
          <year>2016</year>
          <pub-id pub-id-type="doi">10.2967/jnumed.115.170290</pub-id>
        </element-citation>
      </ref>

      <ref id="R8">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Gelfand</surname><given-names>M. J., Parisi, M. T</given-names></name>
            <name><surname>Treves</surname><given-names>S. T</given-names></name>
          </person-group>
          <article-title>Pediatric radiopharmaceutical administered doses: 2010 North American consensus guidelines. <italic>Journal of Nuclear Medicine, 52</italic>(2), 318–322</article-title>
          <year>2011</year>
          <pub-id pub-id-type="doi">10.2967/jnumed.110.084327</pub-id>
        </element-citation>
      </ref>

      <ref id="R9">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Han</surname><given-names>E. Y., Bolch, W. E</given-names></name>
            <name><surname>Eckerman</surname><given-names>K. F</given-names></name>
          </person-group>
          <article-title>Revisions to the ORNL series of adult and pediatric computational phantoms for use with the MIRD schema. <italic>Health Physics, 90</italic>(4), 337–356</article-title>
          <year>2006</year>
          <pub-id pub-id-type="doi">10.1097/01.HP.0000200714.64588.71</pub-id>
        </element-citation>
      </ref>

      <ref id="R10">
        <element-citation publication-type="conference">
          <person-group person-group-type="author">
            <name><surname>Hussin</surname><given-names>D., Said, M. A., Ali, N. S., Tajuddin, A. A</given-names></name>
            <name><surname>Zainon</surname><given-names>R</given-names></name>
          </person-group>
          <article-title>The effective dose result of 18F-FDG PET-CT pediatric patients. <italic>Journal of Physics: Conference Series, 851</italic>(1), 012004</article-title>
          <year>2017</year>
          <pub-id pub-id-type="doi">10.1088/1742-6596/851/1/012004</pub-id>
        </element-citation>
      </ref>

      <ref id="R11">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>International</surname><given-names>Atomic Energy Agency</given-names></name>
          </person-group>
          <article-title><italic>Radiation protection and safety of radiation sources: International basic safety standards</italic> (IAEA Safety Standards Series No</article-title>
          <source>GSR Part 3). International Atomic Energy Agency</source>
          <year>2014</year>
        </element-citation>
      </ref>

      <ref id="R12">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>International</surname><given-names>Commission on Radiological Protection</given-names></name>
          </person-group>
          <article-title><italic>The 2007 recommendations of the International Commission on Radiological Protection</italic> (ICRP Publication 103). <italic>Annals of the ICRP, 37</italic>(2–4)</article-title>
          <year>2007</year>
        </element-citation>
      </ref>

      <ref id="R13">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>International</surname><given-names>Commission on Radiological Protection</given-names></name>
          </person-group>
          <article-title><italic>Radiation dose to patients from radiopharmaceuticals: Addendum 3 to ICRP Publication 53</italic> (ICRP Publication 106). <italic>Annals of the ICRP, 38</italic>(1–2)</article-title>
          <year>2008</year>
        </element-citation>
      </ref>

      <ref id="R14">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>International</surname><given-names>Commission on Radiological Protection</given-names></name>
          </person-group>
          <article-title><italic>Radiation dose to patients from radiopharmaceuticals: A compendium of current information related to frequently used substances</italic> (ICRP Publication 128)</article-title>
          <source>Elsevier</source>
          <year>2015</year>
        </element-citation>
      </ref>

      <ref id="R15">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>International</surname><given-names>Commission on Radiological Protection</given-names></name>
          </person-group>
          <article-title><italic>Diagnostic reference levels in medical imaging</italic> (ICRP Publication 135). <italic>Annals of the ICRP, 46</italic>(1), 1–144</article-title>
          <year>2017</year>
          <pub-id pub-id-type="doi">10.1177/0146645317717209</pub-id>
        </element-citation>
      </ref>

      <ref id="R16">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Oliveira</surname><given-names>C. M., Sá, L. V. D., Alonso, T. C</given-names></name>
            <name><surname>Silva</surname><given-names>T. A. D</given-names></name>
          </person-group>
          <article-title>Suggestion of a national diagnostic reference level for 18F-FDG/PET scans in adult cancer patients in Brazil. <italic>Radiologia Brasileira, 46</italic>(5), 284–289</article-title>
          <year>2013</year>
          <pub-id pub-id-type="doi">10.1590/S0100-39842013000500008</pub-id>
        </element-citation>
      </ref>

      <ref id="R17">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Shin</surname><given-names>S., Ha, W. H., Lee, C., Kwon, T. E., Lee, H., Chung, Y., Cho, I</given-names></name>
            <name><surname>Kim</surname><given-names>H. K</given-names></name>
          </person-group>
          <article-title>Comparative evaluation of thyroid operational intervention levels depending on age and biokinetic model in nuclear accidents. <italic>Nuclear Engineering and Technology, 57</italic>(8), 103539</article-title>
          <year>2025</year>
          <pub-id pub-id-type="doi">10.1016/j.net.2025.103539</pub-id>
        </element-citation>
      </ref>

      <ref id="R18">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Society</surname><given-names>of Nuclear Medicine and Molecular Imaging</given-names></name>
          </person-group>
          <article-title><italic>Nuclear medicine radiation dose tool</italic> (Version 4.10). https://snmmi.org/Patients/Web/Clinical-Practice/Dose-Optimization/Nuclear-Medicine-Radiation-Dose-Tool.aspx</article-title>
          <year>2018</year>
        </element-citation>
      </ref>

      <ref id="R19">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Treves</surname><given-names>S. T., Lassmann, M</given-names></name>
            <name><surname>EANM/SNMMI</surname><given-names>Pediatric Dosage Harmonization Working Group</given-names></name>
          </person-group>
          <article-title>International guidelines for pediatric radiopharmaceutical administered activities. <italic>Journal of Nuclear Medicine, 55</italic>(6), 869–870</article-title>
          <year>2014</year>
          <pub-id pub-id-type="doi">10.2967/jnumed.114.141283</pub-id>
        </element-citation>
      </ref>

      <ref id="R20">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Verganelakis</surname><given-names>D. A</given-names></name>
            <name><surname>Lyra-Georgosopoulou</surname><given-names>M</given-names></name>
          </person-group>
          <article-title>Nuclear medicine dosimetry in pediatric population</article-title>
          <source>In &lt;italic&gt;Dosimetry&lt;/italic&gt;. IntechOpen</source>
          <year>2022</year>
          <pub-id pub-id-type="doi">10.5772/intechopen.105346</pub-id>
        </element-citation>
      </ref>

    </ref-list>

  </back>

</article>
