Evidence map›Paper›PMID 36247283›Full record

ArticleAmerican journal of translational research2022

Clinical value and feasibility of CT pulmonary angiography with personalized injection of contrast agent in pulmonary embolism.

Zhiming Tang, Kun Fan, Lanyu Qiu, Likang Chen, Qilin Qian, Ting Zhang, Yi Wang, Menglong Han, Chengjian Deng, Weihong He

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of translational research, 2022. 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
0.2field-weighted citation impact, top 45% of its field
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, 1 citations in OpenAlex.

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

10 authors at 1 institution in 1 country.

Zhiming TangDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Kun FanDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Lanyu QiuDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Likang ChenDepartment of General Practice, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Qilin QianDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Ting ZhangDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Yi WangDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Menglong HanDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Chengjian DengDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
Weihong HeDepartment of Radiographic Imaging Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421000, Hunan Province, P. R. China.
University of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the clinical value and feasibility of CT pulmonary angiography (CTPA) with personalized injection of contrast agent in pulmonary embolism (PE).

methodsIn the present retrospective study, 130 patients who underwent CTPA examination in our hospital from June 2019 to May 2020 were evaluated. Among them, 67 cases were detected by CTPA with personalized injection of contrast agent as the observation group (Obs group), and 63 cases were detected by CTPA with bolus-tracking (BT) as the control group (Con group). The specificity, sensitivity and accuracy of the detection in the two groups were compared. The image quality score and superior vena cava artifact score of the two diagnostic methods were compared. Additionally, the volumetric CT dose index (CTDIvol) and dose length product (DLP) of the two groups were compared.

resultsThe Obs group yielded a significantly higher specificity in diagnosing PE than the Con group (P<0.05), but there were no significant differences between the two groups in the sensitivity and accuracy (P>0.05). The image quality score and superior vena cava artifact score of the two groups were not significantly different (P>0.05), and the Obs group showed significantly lower CTDIvol and DLP than the Con group (P<0.05).

conclusionCTPA with personalized injection of contrast agent has good diagnostic value for PE, with good imaging effect and safe profile, and has a lower radiation dose requirement.

Indexed as

CTPAdiagnosePersonalized injection of contrast agentpulmonary artery embolism

Identifiers

PMID36247283
PMCPMC9556491
OpenAlexW4306668351

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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.