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Correlation of size specific dose estimates with organ dose in abdominal spectral computed tomography.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Correlation of size specific dose estimates with organ dose in abdominal spectral computed tomography.
Συγγραφείς: Qin T; Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China., Sun Q; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China., Fan Y; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China., Wang M; Department of Oncology, The Second Hospital of Anhui Medical University, Hefei, Anhui, China., Wang J; Department of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China., Chang Y; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China., Liang B; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.; Anhui Key Laboratory of Digital Medicine and Intelligent Health, Bengbu Medical University, Bengbu, Anhui, China.
Πηγή: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2026 Oct; Vol. 27 (10), pp. e70845.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE
Imprint Name(s): Publication: 2017- : Malden, MA : Wiley on behalf of American Association of Physicists in Medicine
Original Publication: Reston, VA : American College of Medical Physics, c2000-
Ιατρικοί όροι (MeSH): Tomography, X-Ray Computed*/methods , Organs at Risk*/radiation effects , Radiography, Abdominal*/methods , Image Processing, Computer-Assisted*/methods , Radiotherapy Planning, Computer-Assisted*/methods , Monte Carlo Method* , Phantoms, Imaging*, Radiotherapy, Intensity-Modulated/methods ; Humans ; Radiation Dosage ; Female ; Male
Περίληψη: Background: In abdominal spectral Computed Tomography (CT), organ dose assessment is important for radiation safety but remains challenging due to the complexity of Monte Carlo (MC) simulations.
Purpose: This study aimed to compare the correlations of three size-specific dose estimate (SSDE) metrics (including the central slice SSDEcenter, the mean of all slices SSDEmean, and the organ-specific SSDEorgan) with organ doses and to establish a rapid estimation method for organ dose using linear regression in abdominal spectral CT.
Methods: Monte Carlo N-Particle (MCNP6) was used to model the General Electric (GE) Revolution CT scanner, including its bowtie filter, radiation source, and simulations of tube voltage switching and the X-ray tube trajectory. Digital Imaging and Communications in Medicine (DICOM) data from 30 patients undergoing abdominal spectral CT with identical scan parameters were processed using 3D Slicer. Radiation-sensitive organs were delineated. Following this, digital models were constructed and subsequently voxelized. All patient external body contours were delineated using ImageJ software. Three SSDE metrics were calculated for all patients. Linear regression analysis was performed to correlate organ doses with the three SSDE metrics and to derive estimation coefficients.
Results: The results indicated that in abdominal spectral CT examinations on a Revolution scanner, SSDEorgan exhibited the strongest correlation with organ dose. The R2 values for the liver, stomach, pancreas, spleen, kidneys, spinal cord, and bladder were 0.89, 0.61, 0.81, 0.85, 0.88, 0.94, and 0.68, respectively. The corresponding estimation coefficients derived from SSDEorgan for these organs were 0.42, 0.36, 0.37, 0.41, 0.36, 0.26, and 0.26, respectively. The estimation errors for the conversion coefficient combined with SSDEorgan, relative to the MC simulation results, were 7.34% for the liver, 6.09% for the kidneys, 13.25% for the spleen, 2.97% for the spinal cord, 13.61% for the pancreas, 17.64% for the stomach, and 18.56% for the bladder.
Conclusions: For abdominal spectral CT, SSDEorgan demonstrated the strongest correlation with individual organ doses. These findings enable rapid and accurate estimation of organ dose, providing a basis for personalized radiation dose assessment in clinical practice.
(© 2026 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.)
References: Med Phys. 2022 Apr;49(4):2233-2244. (PMID: 35184293)
Eur J Radiol. 2018 May;102:102-108. (PMID: 29685522)
Med Phys. 2017 Jan;44(1):57-70. (PMID: 28102951)
Med Phys. 1981 Jul-Aug;8(4):488-95. (PMID: 7322067)
Med Phys. 2014 Jul;41(7):071917. (PMID: 24989395)
Radiology. 2014 May;271(2):327-42. (PMID: 24761954)
Radiat Oncol. 2017 Nov 21;12(1):181. (PMID: 29157265)
Phys Med Biol. 2016 Jun 7;61(11):4168-82. (PMID: 27192093)
Phys Med. 2020 Sep;77:1-9. (PMID: 32755745)
Med Phys. 2011 Feb;38(2):820-9. (PMID: 21452719)
Phys Med Biol. 2009 May 7;54(9):2699-717. (PMID: 19351983)
AJR Am J Roentgenol. 2015 Jan;204(1):124-7. (PMID: 25539247)
Med Phys. 2010 Apr;37(4):1816-25. (PMID: 20443504)
Med Phys. 2022 Feb;49(2):1303-1311. (PMID: 34894408)
AJR Am J Roentgenol. 2012 Dec;199(6):1316-9. (PMID: 23169724)
Radiographics. 2016 Jul-Aug;36(4):1215-32. (PMID: 27399244)
J Digit Imaging. 2013 Jun;26(3):406-11. (PMID: 22955797)
Radiat Prot Dosimetry. 2021 Nov 26;197(1):1-11. (PMID: 34718785)
AAPM Rep. 2014 Sep;2014:6-23. (PMID: 27546949)
Radiat Prot Dosimetry. 2022 Oct 1;198(17):1292-1302. (PMID: 35896148)
Invest Radiol. 2010 Jun;45(6):347-53. (PMID: 20404737)
Invest Radiol. 2021 Jan;56(1):62-68. (PMID: 32932380)
Br J Radiol. 2002 Oct;75(898):819-30. (PMID: 12381691)
Radiology. 2011 Apr;259(1):257-62. (PMID: 21330561)
Neuroimaging Clin N Am. 2017 Aug;27(3):371-384. (PMID: 28711199)
Phys Med Biol. 2014 Sep 21;59(18):5243-60. (PMID: 25144385)
Biomed Phys Eng Express. 2020 Jun 12;6(4):045016. (PMID: 33444276)
Korean J Radiol. 2017 Jul-Aug;18(4):555-569. (PMID: 28670151)
Eur J Radiol. 2012 Apr;81(4):e507-12. (PMID: 21703793)
Phys Med Biol. 2005 Sep 7;50(17):3989-4004. (PMID: 16177525)
Radiographics. 2014 May-Jun;34(3):589-612. (PMID: 24819783)
J Biomed Phys Eng. 2023 Aug 01;13(4):333-344. (PMID: 37609513)
Semin Ultrasound CT MR. 2010 Aug;31(4):315-20. (PMID: 20691932)
Med Phys. 2021 Oct;48(10):6160-6173. (PMID: 34309040)
Phys Eng Sci Med. 2022 Mar;45(1):157-166. (PMID: 35015205)
Eur Radiol. 2018 Aug;28(8):3405-3412. (PMID: 29460070)
Radiology. 2015 Oct;277(1):308-9. (PMID: 26402502)
AJR Am J Roentgenol. 2012 Nov;199(5 Suppl):S16-25. (PMID: 23097163)
Front Surg. 2022 Mar 25;9:860968. (PMID: 35402481)
Ann ICRP. 2009;39(2):1-164. (PMID: 19897132)
Contributed Indexing: Keywords: Monte Carlo; computed tomography; organ dose; size‐specific dose estimate; spectral CT
Entry Date(s): Date Created: 20261006 Date Completed: 20261006 Latest Revision: 20261008
Update Code: 20261008
PubMed Central ID: PMC13639253
DOI: 10.1002/acm2.70845
PMID: 42834551
Βάση Δεδομένων: MEDLINE
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  Data: Correlation of size specific dose estimates with organ dose in abdominal spectral computed tomography.
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  Data: <searchLink fieldCode="AU" term="%22Qin+T%22">Qin T</searchLink>; Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Sun+Q%22">Sun Q</searchLink>; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Fan+Y%22">Fan Y</searchLink>; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Wang+M%22">Wang M</searchLink>; Department of Oncology, The Second Hospital of Anhui Medical University, Hefei, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Chang+Y%22">Chang Y</searchLink>; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Liang+B%22">Liang B</searchLink>; School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.; Anhui Key Laboratory of Digital Medicine and Intelligent Health, Bengbu Medical University, Bengbu, Anhui, China.
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: In abdominal spectral Computed Tomography (CT), organ dose assessment is important for radiation safety but remains challenging due to the complexity of Monte Carlo (MC) simulations.<br />Purpose: This study aimed to compare the correlations of three size-specific dose estimate (SSDE) metrics (including the central slice SSDE<subscript>center</subscript>, the mean of all slices SSDE<subscript>mean</subscript>, and the organ-specific SSDE<subscript>organ</subscript>) with organ doses and to establish a rapid estimation method for organ dose using linear regression in abdominal spectral CT.<br />Methods: Monte Carlo N-Particle (MCNP6) was used to model the General Electric (GE) Revolution CT scanner, including its bowtie filter, radiation source, and simulations of tube voltage switching and the X-ray tube trajectory. Digital Imaging and Communications in Medicine (DICOM) data from 30 patients undergoing abdominal spectral CT with identical scan parameters were processed using 3D Slicer. Radiation-sensitive organs were delineated. Following this, digital models were constructed and subsequently voxelized. All patient external body contours were delineated using ImageJ software. Three SSDE metrics were calculated for all patients. Linear regression analysis was performed to correlate organ doses with the three SSDE metrics and to derive estimation coefficients.<br />Results: The results indicated that in abdominal spectral CT examinations on a Revolution scanner, SSDE<subscript>organ</subscript> exhibited the strongest correlation with organ dose. The R<superscript>2</superscript> values for the liver, stomach, pancreas, spleen, kidneys, spinal cord, and bladder were 0.89, 0.61, 0.81, 0.85, 0.88, 0.94, and 0.68, respectively. The corresponding estimation coefficients derived from SSDE<subscript>organ</subscript> for these organs were 0.42, 0.36, 0.37, 0.41, 0.36, 0.26, and 0.26, respectively. The estimation errors for the conversion coefficient combined with SSDE<subscript>organ</subscript>, relative to the MC simulation results, were 7.34% for the liver, 6.09% for the kidneys, 13.25% for the spleen, 2.97% for the spinal cord, 13.61% for the pancreas, 17.64% for the stomach, and 18.56% for the bladder.<br />Conclusions: For abdominal spectral CT, SSDE<subscript>organ</subscript> demonstrated the strongest correlation with individual organ doses. These findings enable rapid and accurate estimation of organ dose, providing a basis for personalized radiation dose assessment in clinical practice.<br /> (© 2026 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.)
– Name: Ref
  Label: References
  Group: RefInfo
  Data: Med Phys. 2022 Apr;49(4):2233-2244. (PMID: <searchLink fieldCode="PM" term="%2235184293%22">35184293)</searchLink><br />Eur J Radiol. 2018 May;102:102-108. (PMID: <searchLink fieldCode="PM" term="%2229685522%22">29685522)</searchLink><br />Med Phys. 2017 Jan;44(1):57-70. (PMID: <searchLink fieldCode="PM" term="%2228102951%22">28102951)</searchLink><br />Med Phys. 1981 Jul-Aug;8(4):488-95. (PMID: <searchLink fieldCode="PM" term="%227322067%22">7322067)</searchLink><br />Med Phys. 2014 Jul;41(7):071917. (PMID: <searchLink fieldCode="PM" term="%2224989395%22">24989395)</searchLink><br />Radiology. 2014 May;271(2):327-42. (PMID: <searchLink fieldCode="PM" term="%2224761954%22">24761954)</searchLink><br />Radiat Oncol. 2017 Nov 21;12(1):181. (PMID: <searchLink fieldCode="PM" term="%2229157265%22">29157265)</searchLink><br />Phys Med Biol. 2016 Jun 7;61(11):4168-82. (PMID: <searchLink fieldCode="PM" term="%2227192093%22">27192093)</searchLink><br />Phys Med. 2020 Sep;77:1-9. (PMID: <searchLink fieldCode="PM" term="%2232755745%22">32755745)</searchLink><br />Med Phys. 2011 Feb;38(2):820-9. (PMID: <searchLink fieldCode="PM" term="%2221452719%22">21452719)</searchLink><br />Phys Med Biol. 2009 May 7;54(9):2699-717. (PMID: <searchLink fieldCode="PM" term="%2219351983%22">19351983)</searchLink><br />AJR Am J Roentgenol. 2015 Jan;204(1):124-7. (PMID: <searchLink fieldCode="PM" term="%2225539247%22">25539247)</searchLink><br />Med Phys. 2010 Apr;37(4):1816-25. (PMID: <searchLink fieldCode="PM" term="%2220443504%22">20443504)</searchLink><br />Med Phys. 2022 Feb;49(2):1303-1311. (PMID: <searchLink fieldCode="PM" term="%2234894408%22">34894408)</searchLink><br />AJR Am J Roentgenol. 2012 Dec;199(6):1316-9. (PMID: <searchLink fieldCode="PM" term="%2223169724%22">23169724)</searchLink><br />Radiographics. 2016 Jul-Aug;36(4):1215-32. (PMID: <searchLink fieldCode="PM" term="%2227399244%22">27399244)</searchLink><br />J Digit Imaging. 2013 Jun;26(3):406-11. (PMID: <searchLink fieldCode="PM" term="%2222955797%22">22955797)</searchLink><br />Radiat Prot Dosimetry. 2021 Nov 26;197(1):1-11. (PMID: <searchLink fieldCode="PM" term="%2234718785%22">34718785)</searchLink><br />AAPM Rep. 2014 Sep;2014:6-23. (PMID: <searchLink fieldCode="PM" term="%2227546949%22">27546949)</searchLink><br />Radiat Prot Dosimetry. 2022 Oct 1;198(17):1292-1302. (PMID: <searchLink fieldCode="PM" term="%2235896148%22">35896148)</searchLink><br />Invest Radiol. 2010 Jun;45(6):347-53. (PMID: <searchLink fieldCode="PM" term="%2220404737%22">20404737)</searchLink><br />Invest Radiol. 2021 Jan;56(1):62-68. (PMID: <searchLink fieldCode="PM" term="%2232932380%22">32932380)</searchLink><br />Br J Radiol. 2002 Oct;75(898):819-30. (PMID: <searchLink fieldCode="PM" term="%2212381691%22">12381691)</searchLink><br />Radiology. 2011 Apr;259(1):257-62. (PMID: <searchLink fieldCode="PM" term="%2221330561%22">21330561)</searchLink><br />Neuroimaging Clin N Am. 2017 Aug;27(3):371-384. (PMID: <searchLink fieldCode="PM" term="%2228711199%22">28711199)</searchLink><br />Phys Med Biol. 2014 Sep 21;59(18):5243-60. (PMID: <searchLink fieldCode="PM" term="%2225144385%22">25144385)</searchLink><br />Biomed Phys Eng Express. 2020 Jun 12;6(4):045016. (PMID: <searchLink fieldCode="PM" term="%2233444276%22">33444276)</searchLink><br />Korean J Radiol. 2017 Jul-Aug;18(4):555-569. (PMID: <searchLink fieldCode="PM" term="%2228670151%22">28670151)</searchLink><br />Eur J Radiol. 2012 Apr;81(4):e507-12. (PMID: <searchLink fieldCode="PM" term="%2221703793%22">21703793)</searchLink><br />Phys Med Biol. 2005 Sep 7;50(17):3989-4004. (PMID: <searchLink fieldCode="PM" term="%2216177525%22">16177525)</searchLink><br />Radiographics. 2014 May-Jun;34(3):589-612. (PMID: <searchLink fieldCode="PM" term="%2224819783%22">24819783)</searchLink><br />J Biomed Phys Eng. 2023 Aug 01;13(4):333-344. (PMID: <searchLink fieldCode="PM" term="%2237609513%22">37609513)</searchLink><br />Semin Ultrasound CT MR. 2010 Aug;31(4):315-20. (PMID: <searchLink fieldCode="PM" term="%2220691932%22">20691932)</searchLink><br />Med Phys. 2021 Oct;48(10):6160-6173. (PMID: <searchLink fieldCode="PM" term="%2234309040%22">34309040)</searchLink><br />Phys Eng Sci Med. 2022 Mar;45(1):157-166. (PMID: <searchLink fieldCode="PM" term="%2235015205%22">35015205)</searchLink><br />Eur Radiol. 2018 Aug;28(8):3405-3412. (PMID: <searchLink fieldCode="PM" term="%2229460070%22">29460070)</searchLink><br />Radiology. 2015 Oct;277(1):308-9. (PMID: <searchLink fieldCode="PM" term="%2226402502%22">26402502)</searchLink><br />AJR Am J Roentgenol. 2012 Nov;199(5 Suppl):S16-25. (PMID: <searchLink fieldCode="PM" term="%2223097163%22">23097163)</searchLink><br />Front Surg. 2022 Mar 25;9:860968. (PMID: <searchLink fieldCode="PM" term="%2235402481%22">35402481)</searchLink><br />Ann ICRP. 2009;39(2):1-164. (PMID: <searchLink fieldCode="PM" term="%2219897132%22">19897132)</searchLink>
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      – SubjectFull: Radiotherapy, Intensity-Modulated methods
        Type: general
      – SubjectFull: Humans
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      – SubjectFull: Radiation Dosage
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      – SubjectFull: Organs at Risk radiation effects
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      – TitleFull: Correlation of size specific dose estimates with organ dose in abdominal spectral computed tomography.
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          Identifiers:
            – Type: issn-electronic
              Value: 1526-9914
          Numbering:
            – Type: volume
              Value: 27
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Journal of applied clinical medical physics
              Type: main
ResultId 1