Evidence map›Paper›PMID 34047851›Full record

ArticleEuropean radiology2021

Diffusion-weighted imaging diagnostic algorithm in patients with suspected pleural malignancy.

Wenrui Jiang, Zhiping Han, Xing Tang, Hong Yin, Jian Zhang

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02320617 (Application of Diffusion Weighted Magnetic Resonance Imaging Versus CT in Evaluation of the Effect of Treating Lung Cancer), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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.

NCT02320617 naunknown statusnot on this map

Application of Diffusion Weighted Magnetic Resonance Imaging Versus CT in Evaluation of the Effect of Treating Lung Cancer

TypeinterventionalSponsorAir Force Military Medical University, ChinaRan2014 to 2016Enrolled80ConditionsLung NeoplasmsArmsDiffusion Magnetic Resonance Imaging
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Wenrui Jiang *Department of Respiratory Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, China.
Zhiping Han *Department of Respiratory Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, China.
Xing TangDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Hong YinDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China. yinhong@fmmu.edu.cn.
Jian ZhangDepartment of Respiratory Medicine, Xijing Hospital, Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, China. janetzhangjian@163.com.ORCID http://orcid.org/0000-0001-8234-8825
Xijing Hospital · CN

Funding

Shaanxi Provincial Science and Technology Department 2010K14-01-01Xijing Hospital XJYY-LL-F-J-038
6 · The paper itself

Abstract

objectivesThe purpose of this study was to analyze the diagnostic performance and clinical application of diffusion-weighted imaging (DWI) in patients with suspected pleural malignancy (PM).

methodsA retrospective review of patients with suspected PM was performed from March 2014 to August 2018 (NCT02320617). All patients underwent chest DWI and computed tomography (CT) with cytological or histopathological findings as reference standards. The diagnostic performance of DWI and CT was analyzed and compared. A DWI diagnostic algorithm with three sequential steps was established.

resultsSeventy patients (61.6 ± 13.6 years; 47 males and 23 females) were included. The sensitivity of DWI (94.2%, 49/52) for the diagnosis of PM was significantly higher compared with CT (67.3%, 35/52), with similar specificity (72.2% vs. 72.2%, respectively). The apparent diffusion coefficient of malignant lesions (1.15 ± 0.32 × 10

conclusionIncluding DWI into the diagnostic algorithm of suspected PM can effectively identify malignancy and avoid unnecessary invasive procedures, which may have some potential in clinical application. KEY POINTS: • Diffusion-weighted imaging can identify pleural malignancy much more efficiently than CT. • A diffusion-weighted imaging diagnostic algorithm helped to avoid unnecessary invasive procedures in patients without N3 lymph node or extra-thoracic lesions. • A hyperintense signal on DWI at a high b value (800 s/mm

Indexed as

Diffusion Magnetic Resonance ImagingPleural NeoplasmsAlgorithmsDiagnosis, DifferentialFemaleHumansMaleRetrospective StudiesSensitivity and SpecificityDiffusion magnetic resonance imagingPleural neoplasmsTomography, X-ray computed

Identifiers

PMID34047851
PMCPMC8589770
OpenAlexW3165741895

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Registered trials

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.