Evidence map›Paper›PMID 39202250›Full record

ReviewDiagnostics (Basel, Switzerland)2024

CT Imaging Findings of Pulmonary Artery Stenosis: A Pictorial Review.

Mengdi Zhang, Li Chen, Chao Bu, Hanxi Zhang, Jing Luo, Jing Wang, Qihua Sun, Qingyu Liu, Zhonghua Sun, Yu Li

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. 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

10 authors.

Mengdi ZhangDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Li ChenDepartment of Neurology, Shenzhen Luohu People's Hospital, Shenzhen 518107, China.
Chao BuDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Hanxi ZhangDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Jing LuoDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Jing WangDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Qihua SunDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Qingyu LiuDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0001-7171-6346
Zhonghua SunDiscipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth 6845, Australia.ORCID 0000-0002-7538-4761
Yu LiDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary artery stenosis represents a group of disorders involving main, branch or peripheral pulmonary arteries with pain, dyspnea, hemoptysis or even no symptoms. Early diagnosis and timely intervention are crucial for reducing mortality, but timely diagnosis is challenging due to the non-specific symptoms. Computed tomography pulmonary angiography (CTPA) is useful in the diagnosis because it can provide more details about abnormal changes in the lumen, vessel wall and adjacent mediastinal structures. Congenital and acquired pulmonary artery anomalies have some characteristics on CTPA, which can be useful for differential diagnosis. Awareness of these conditions is important for radiologists. This pictorial review provides an overview of CTPA imaging features of pulmonary artery stenosis.

Indexed as

computed tomography pulmonary angiographycongenital and acquired anomaliesdifferential diagnosispulmonary artery stenosis

Identifiers

PMID39202250
PMCPMC11353319

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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.