Evidence map›Paper›PMID 42834551›Full record

ArticleJournal of applied clinical medical physics2026

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

Tian Qin, Qingting Sun, Yihan Fan, Mengting Wang, Jing Wang, Yankui Chang, Baohui Liang

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Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tian Qin *Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China.
Qingting Sun *School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.ORCID https://orcid.org/0009-0006-4523-5710
Yihan FanSchool of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.
Mengting WangDepartment of Oncology, The Second Hospital of Anhui Medical University, Hefei, Anhui, China.
Jing WangDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Yankui ChangSchool of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.ORCID https://orcid.org/0000-0001-9814-0332
Baohui LiangSchool of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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 SSDE

methodsMonte 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.

resultsThe results indicated that in abdominal spectral CT examinations on a Revolution scanner, SSDE

conclusionsFor abdominal spectral CT, SSDE

Indexed as

Image Processing, Computer-AssistedMonte Carlo MethodOrgans at RiskPhantoms, ImagingRadiography, AbdominalRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedFemaleHumansMaleRadiation DosageRadiotherapy, Intensity-Modulatedcomputed tomographyMonte Carloorgan dosesize‐specific dose estimatespectral CT

Identifiers

PMID42834551
PMCPMC13639253

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.