Evidence map›Paper›PMID 35732973›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

Improving the imaging diagnostic strategy for pulmonary artery masses based on

Cheng Hong, Peng Hou, Hai-Ming Chen, Kai-Xiang Zhong, Wen-Liang Guo, Jie-Long Lin, Xiao-Feng Wu, Yong-Xia Lei, Qiong Jia, Chun-Li Liu and 2 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. The diagnostic value of [European radiology · 2024
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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 at 1 institution in 1 country.

Cheng HongState Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Peng HouDepartment of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, 510010, China.
Hai-Ming ChenState Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Kai-Xiang ZhongDepartment of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, 510010, China.
Wen-Liang GuoState Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Jie-Long LinDepartment of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Xiao-Feng WuState Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Yong-Xia LeiDepartment of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Qiong JiaDepartment of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, 510010, China.
Chun-Li LiuState Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Shi-Yue LiState Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510010, China.
Xin-Lu WangDepartment of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, 510010, China. 71lu@163.com.ORCID 0000-0003-1997-5687
First Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic accuracy of computed tomography pulmonary angiography (CTPA) and

methodsOf 2889 patients with PA filling defects of PA on CTPA, 79 consecutive patients suspicious for PA malignancy who subsequently underwent

resultsExpansive growth, irregular margin, invasion, CT contrast uptake, and wall eclipse sign were strongly associated with the malignant nature of masses. The coexistence of at least 5 CT signs perfectly identified malignant masses, whereas the detection of no more than 4 CT signs did not accurately discriminate between the natures of masses. Mean SUVmax, SUVmean, MTV, and TLG values were significantly higher in malignant masses compared to those in benign masses. The diagnostic accuracy of

conclusionsCTPA is a useful imaging modality for diagnosing PA masses, especially when at least 5 abnormal CT signs are identified. Similarly,

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyAngiographyGlycolysisHumansPrognosisPulmonary ArteryRadiopharmaceuticalsRetrospective StudiesTomography, X-Ray ComputedTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsComputed tomography pulmonary angiographyDiagnostic accuracyPET/CTPrognosisPulmonary artery masses

Identifiers

PMID35732973
OpenAlexW4283320428

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.