Evidence map›Paper›PMID 41656385›Full record

ArticleAbdominal radiology (New York)2026

Diagnostic performance of photon-counting detector CT versus energy-integrating detector CT for colorectal polyp detection: a phantom study.

Xiaofei Wu, Huiqing Gao, Yuanyuan Gao, Huimin Zha, Xinyi Zhou, Shudong Hu, Weifeng Han, Yuxi Ge

Abstract readComparative Study
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In one paragraph

Article in Abdominal radiology (New York), 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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5 · Who and what money

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8 authors.

Xiaofei WuDepartment of Radiology, Affiliated Hospital of Jiangnan University, wuxi, China.
Huiqing GaoDepartment of Radiology, The Fifth People's Hospital of Wujiang District, suzhou, China.
Yuanyuan GaoDepartment of Radiology, Affiliated Hospital of Jiangnan University, wuxi, China.
Huimin ZhaDepartment of Radiology, Affiliated Hospital of Jiangnan University, wuxi, China.
Xinyi ZhouDepartment of Pathology, Affiliated Hospital of Jiangnan University, wuxi, China.
Shudong HuDepartment of Radiology, Affiliated Hospital of Jiangnan University, wuxi, China.
Weifeng HanDepartment of Gastrointestinal Surgery, Affiliated Hospital of Jiangnan University, wuxi, China. hanweifeng1981@163.com.
Yuxi GeDepartment of Radiology, Affiliated Hospital of Jiangnan University, wuxi, China. gmy1986@126.com.

Funding

Light of the Taihu Lake Science and Technology Research Project of Wuxi Science and Technology Bureau Y20242115National Natural Science Foundation of China Grant No. 82502323
6 · The paper itself

Abstract

purposeTo compare the diagnostic performance of photon-counting detector CT (PCD-CT) and energy-integrating detector CT (EID-CT) for colorectal polyp detection using a phantom model with histopathologically verified polyps.

methodsA phantom containing 84 histopathologically confirmed colorectal polyps from resected specimens underwent sequential PCD-CT and EID-CT scanning. Polyps were categorized by size as ≤ 5 mm, 6-9 mm, or ≥ 10 mm. Two blinded abdominal radiologists evaluated image quality (5-point Likert scale), quantitative metrics (signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR]), detection sensitivity, and diagnostic confidence (3-point scale). Wilcoxon signed-rank and paired t-tests compared image quality parameters, McNemar's test compared detection rates, and inter-reader agreement was assessed using ICC and kappa statistics.

resultsPCD-CT demonstrated significantly superior qualitative image quality compared to EID-CT, with higher scores for overall quality (5 [4, 5] vs. 3 [3, 4]), sharpness (5 [4, 5] vs. 3 [1, 4]), and lower noise levels (5 [4, 5] vs. 3 [3, 3]) (all p < 0.001).Quantitative analysis showed superior SNR and CNR across all polyp sizes (all p < 0.001), with the most pronounced improvement in ≤ 5 mm polyps (SNR: 143% increase, CNR: 149% increase). PCD-CT significantly improved detection rates for ≤ 5 mm (71.4% vs. 17.9%, p < 0.001) and 6-9 mm polyps (92.9% vs. 71.4%, p = 0.031). Reader confidence was also significantly higher with PCD-CT for ≤ 5 mm (p < 0.001) and 6-9 mm (p < 0.001) polyps, with substantial inter-reader agreement (kappa = 0.858; 95% CI:0.703-0.906).

conclusionPCD-CT provides significantly improved diagnostic accuracy for colorectal polyp detection compared to EID-CT, with substantial gains in small polyp sensitivity and overall image quality.

Indexed as

Colonic PolypsTomography, X-Ray ComputedContrast MediaHumansPhantoms, ImagingPhotonsSensitivity and SpecificitySignal-To-Noise RatioContrast MediaColorectal polypsComputed tomographyDiagnostic performanceImage qualityPhoton-counting detector

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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.