Evidence map›Paper›PMID 32420150›Full record

ArticleTranslational andrology and urology2020

Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer.

Shenghua Liu, Feijia Xu, Tianyuan Xu, Yang Yan, Xudong Yao, Guangyu Tang

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

Article in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
7.6field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  14. Is high accuracy of Vesical Imaging-Reporting and Data System (VI-RADS) sufficient for its implementation in the urological practice?Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2023
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  20. Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
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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

6 authors at 2 institutions in 1 country.

Shenghua LiuDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Feijia XuDepartment of Radiology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Tianyuan XuDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Yang YanDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Xudong YaoDepartment of Urology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Guangyu TangDepartment of Radiology, Shanghai Tenth People's Hospital, Tongji University, Shanghai 200072, China.
Tongji University · CNShanghai Tenth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the accuracy of using the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in prediction preoperative muscle invasion of bladder cancer.

methodsThe study retrospectively reviewed consecutive patients with bladder cancer who received multiparametric magnetic resonance imaging (MRI) between January 2017 and June 2019. Clinical and pathological parameters were collected. Bladder tumors were re-evaluated with 5-point VI-RADS scoring system by two experienced radiologists independently. The VI-RADS score was compared with postoperative pathology for each tumor for determining muscle invasion. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each VI-RADS cutoff.

resultsA total of 126 patients were included in analysis, with 82 patients received transurethral resection of bladder tumor (TURBt) while 44 underwent radical cystectomy. Fifty patients were muscle-invasive bladder cancer and 76 were non-muscle invasive tumor confirmed pathologically. VI-RADS score was only predictive factor to muscle invasion in multivariate analysis. Setting VI-RADS score greater than or equal to 4 reached the best sensitivity and specificity of 94.00% and 92.11%, with PPV and NPV value of 88.68% and 95.89%.

conclusionsVI-RADS score system is a promising and effective modality in determining detrusor muscle invasion of bladder cancer preoperatively.

Indexed as

Bladder cancermultiparametric magnetic resonance imaging (mpMRI)muscle invasionpredictionVesical Imaging-Reporting and Data System (VI-RADS)

Identifiers

PMID32420150
PMCPMC7215047
OpenAlexW3010790917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.