Evidence map›Paper›PMID 39849524›Full record

Trial reportJournal of cardiothoracic surgery2025

Clinical application of third-generation dual-source CT-based dynamic imaging reconstruction for pulmonary embolism imaging.

Kai Liao, Biao Ye, Xi Li, Wei Liu, Tongtong Jia, Zongbao Han, Ziyi Liang, Yongli Duan, Xiaoli Sun, Jianmei Zhang and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cardiothoracic surgery, 2025. 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

12 authors.

Kai Liao *Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610000, China.
Biao Ye *Department of Radiology, Chongqing Hospital of Jiangsu Province Hospital (The People's Hospital of Qijiang District), Chongqing, 401420, China.
Xi LiDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Wei LiuDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Tongtong JiaDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Zongbao HanDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Ziyi LiangDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Yongli DuanDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Xiaoli SunDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Jianmei ZhangDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Rengui WangDepartment of Radiology, Beijing Shijitan Hospital, Beijing, 100038, China.
Jiao GongDepartment of Thyroid Breast Cardiothoracic & Vascular Surgery, Beibei District Hospital of Traditional Chinese Medicine, No. 380 Jiangjun Road, Beibei District, Chongqing, 400700, China. gongjiaocq380@163.com.

Funding

Research and Application of Key Technologies in Multimodal Medical Imaging Based on Deep Learning, Science and Technology Department of Sichuan Province, Key Research and Development Program 2023YFG0126
6 · The paper itself

Abstract

backgroundTo evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations.

methodsEighty-two patients with pulmonary embolism were enrolled and randomly divided into standard CT angiography (SCTA) and dynamic CT angiography (DCTA). DCTA patients were divided into dynamic CT angiography arterial phase (DCTAa), time phase Angiography reconstruction (TMIP-CTA), and 4D noise reduction TMIP-CTA according to the image reconstruction. The region of interest was selected in the region of the pulmonary trunk and its branches, respectively. The vessel CT value and image background noise (IN) of each subgroup were also determined, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Simultaneously two radiologists performed a subjective evaluation of the quality of the picture images.

resultsThe DCTA group had a lower contrast dose than the SCAT group, but the vessel CT value, IN, CNR, and SNR were significantly higher in the DCTA group compared with the SCTA group. CT of the vascular lumen was generally higher in all subgroups of DCTA than in SCTA, with the highest in the TMIP-CIA group. IN was significantly higher in both the DCTAa and TMIP-CTA groups than in the SCTA group. SNR and CNR were elevated in TMIP-CTA and 4D noise reduction TMIP-CTA compared to the SCTA group. In addition, the subjective image quality scores of the DCTA group were significantly higher than those of SCTA, and the 4D noise reduction TMIP-CTA had the most. However, the ED of the SCTA group was lower than that of the DCTA group.

conclusion4D noise reduction TMIP-CTA based on DCTA reconstruction significantly improves the quality of pulmonary artery CTPA images and increases the clinical diagnostic rate, with potential for clinical dissemination.

Indexed as

Computed Tomography AngiographyImage Processing, Computer-AssistedPulmonary EmbolismTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPulmonary ArteryRadiographic Image Interpretation, Computer-AssistedSignal-To-Noise RatioCNRCTPAPESNRTMIP-CTA

Identifiers

PMID39849524
PMCPMC11756098

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.