Evidence map›Paper›PMID 40601213›Full record

ArticleJournal of imaging informatics in medicine2026

Photon-Counting Detector CT Allows Abdominal Virtual Monoenergetic Imaging at Lower Kiloelectron Volt Level with Lower Noise Using Lower Radiation Dose: A Prospective Matched Study Compared to Energy-Integrating Detector CT.

Huan Zhang, Yangfan Hu, Lingyun Wang, Yue Xing, Zhihan Xu, Junjie Lu, Jiarui Yang, Bei Ding, Fei Yuan, Jingyu Zhong

Abstract readComparative Study
In one paragraph

Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Huan Zhang *Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yangfan Hu *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Lingyun Wang *Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yue XingDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Zhihan XuSiemens Healthineers, Shanghai, 201318, China.
Junjie LuDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Jiarui YangDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
Bei DingDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. db11020@rjh.com.cn.
Fei YuanDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. daphny2014@163.com.
Jingyu ZhongDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. wal_zjy@163.com.ORCID https://orcid.org/0000-0002-9817-2294

Funding

Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery 2024JZWC-YBA07National Natural Science Foundation of China 82271934National Natural Science Foundation of China 82302183Research Found of Health Commission of Changing District, Shanghai Municipality 2023QN01Research Found of Health Commission of Shanghai Municipality 20244Y0214Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TR2024RC16Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRKYRC-XX202204Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYJ2021JC06Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYXJH18Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYXJH28Yangfan Project of Science and Technology Commission of Shanghai Municipality 22YF1442400
6 · The paper itself

Abstract

Our study aimed to assess the image quality of lower kiloelectron volt (keV) level abdominal virtual monoenergetic imaging (VMI) with lower radiation dose on photon-counting detector computed tomography (PCD-CT), in comparison to energy-integrating detector computed tomography (EID-CT). We prospectively included three matched groups, each with 59 participants, to undergo contrast-enhanced abdominal CT scans using EID-CT with full-dose (EID_FD), PCD-CT with full-dose (PCD_FD), and PCD-CT with low-dose (PCD_LD) protocols, respectively. The data of portal-venous phase were reconstructed into VMI at 40, 50, 60, and 70 keV, respectively. The standard deviation of CT values in liver parenchyma was measured as image noise. The signal-to-noise ratio (SNR) of liver parenchyma and contrast-to-noise ratio (CNR) of liver-portal vein were calculated. Three radiologists assessed the image noise, vessel sharpness, and overall quality, and rated the hepatic lesion conspicuity if possible. Our study found that the PCD_LD significantly reduced the radiation dose than EID_FD or PCD_FD (p < 0.001). The noise was significantly decreased by PCD_FD and PCD_LD compared to EID_FD, but SNR values were significantly increased (p ≤ 0.006). The CNR values were significantly increased by PCD_FD and PCD_LD compared to EID_FD in VMI at 40 keV and 50 keV (p ≤ 0.010). The ratings of image noise, vessel sharpness, overall quality, and lesion conspicuity were significantly greater in PCD_FD and PCD_LD compared to EID_FD (p ≤ 0.001). There was no significant difference detected in rating of lesion conspicuity between PCD_FD and PCD_LD (p ≥ 0.259). In conclusion, PCD-CT allows abdominal VMI with lower keV and lower noise using lower radiation dose, to provide better visualization of the hepatic lesions.

Indexed as

Radiation DosageRadiography, AbdominalTomography, X-Ray ComputedAdultAgedContrast MediaFemaleHumansLiverMaleMiddle AgedPhotonsProspective StudiesSignal-To-Noise RatioContrast MediaImage enhancementImage reconstructionMultidetector computed tomographyRadiation dosage

Identifiers

PMID40601213
PMCPMC13103027

What OpenQuestion holds

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Registered trials

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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.