Evidence map›Paper›PMID 41345576›Full record

ArticleBMC medical imaging2025

Phantom-based quantification of the spectral accuracy of lower extremity vascular imaging using a second-generation dual-layer spectral CT at 100 kVp and 120kVp.

Xinyu Gao, Chao Zhang, Yun Wang, Xiaomei Lu, Shenghui Yu, Wenjie Zheng, Zehong Lin, Yining Wang, Huadan Xue, Daming Zhang and 1 more

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xinyu Gao *Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China.
Chao Zhang *Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China.
Yun WangDepartment of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China.
Xiaomei LuCT Clinical Science CT, Philips Healthcare, Beijing, 100600, China.
Shenghui YuCT Clinical Technical Support, Philips Healthcare, Beijing, 100600, China.
Wenjie ZhengDepartment of Rheumatology and Immunology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China.
Zehong LinCollege of Civil and Architectural Engineering, Harbin University, Harbin, China.
Yining WangDepartment of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China.
Huadan XueDepartment of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China.
Daming Zhang *Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China. cadina1984@163.com.
Zhengyu Jin *Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng District, Beijing, 100730, China. jinzy@pumch.cn.

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2024-I2M-C&T-C-004National High Level Hospital Clinical Research Funding 2022-PUMCH-B-68National High Level Hospital Clinical Research Funding 2022-PUMCH-C008
6 · The paper itself

Abstract

backgroundThis study quantitatively evaluated the effects of tube voltage, CTDIvol, energy level, and iodine concentration on the performance of lower-extremity vascular imaging using a second-generation dual-layer spectral CT (DSCT). We further assessed the potential for reducing radiation dose and contrast agent use without compromising image quality.

methodsA spectral CT phantom with tissue-equivalent inserts and varying iodine concentrations (4, 8, 12, and 16 mgI/mL) was scanned at different tube voltages (100/120 kVp), CTDIvol levels (2.5, 5, 10 mGy), and virtual monoenergetic levels (40, 70, 100 keV), alongside conventional imaging. Vessel diameters of 2.5, 4, and 5 mm were evaluated. Objective image quality was assessed via CT attenuation, SD, SNR, and CNR. Two radiologists used a 5-point Likert scale to assess the subjective image quality.

resultsNo significant differences were observed in subjective or objective scores between tube voltages or across CTDIvol levels (p > 0.05). Low-energy 40 keV images yielded comparable quality to 70 keV and conventional images. At 40 keV, ultra-low iodine concentrations (4 mgI/mL) achieved image quality similar to higher concentrations (12/16 mgI/mL) in conventional scans. The combination of 100 kVp, 2.5 mGy, and 40 keV provided superior image quality relative to conventional CT.

conclusionsSecond-generation DSCT at 100 kVp provides high-accuracy lower-limb vascular imaging, even at low radiation doses and contrast concentrations, supporting its potential for clinical dose-reduction strategies.

Indexed as

Computed Tomography AngiographyLower ExtremityTomography, X-Ray ComputedContrast MediaHumansPhantoms, ImagingRadiation DosageSignal-To-Noise RatioContrast MediaLower limb vesselPhantom imagingRadiation doseX-ray computed tomography

Identifiers

PMID41345576
PMCPMC12676852

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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.