Evidence map›Paper›PMID 32685492›Full record

ArticleBioMed research international2020

Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer.

Hui Hua, Yuanxiang Gao, Jizheng Lin, Feng Hou, Jun Wei Wang, Yong Zhang, Xuecheng Yang, Hexiang Wang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 6 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

8 authors at 2 institutions in 1 country.

Hui HuaDepartment of Thyroid Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Yuanxiang GaoDepartment of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Jizheng LinDepartment of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.ORCID https://orcid.org/0000-0001-7296-7921
Feng HouDepartment of Pathology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Jun Wei WangDepartment of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Yong ZhangDepartment of Radiology, The Xixiu District People's Hospital of Anshun City, Guizhou, China.
Xuecheng YangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao 266003, China.ORCID https://orcid.org/0000-0002-3607-9887
Hexiang WangDepartment of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.ORCID https://orcid.org/0000-0003-1027-055X
Qingdao University · CNWuqing District People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was performed to assess the value of quantitative analysis of enhanced computed tomography (CT) values in the differential diagnosis of bladder cancer and cystitis glandularis (CG).

methodsEighty patients with bladder masses (39 with CG and 41 with bladder cancer) who underwent enhanced CT were retrospectively reviewed. The CT enhancement values of the lesion and normal bladder wall in the arterial phase, venous phase, and delayed phase were measured. The relative enhancement CT values (relative enhancement CT value = enhancement CT value of lesion - enhancement CT value of normal bladder) in the arterial phase, venous phase, and delayed phase were also calculated. The pathological results were used as the gold standard, and the area under the curve (AUC), sensitivity, and specificity were calculated for the six groups of quantitative indicators (enhanced CT values and relative enhanced CT values of CG and bladder cancer in the arterial, venous, and delayed phases). We performed the leave-group-out cross-validation method to validate the accuracy, AUC, sensitivity, and specificity. The differences in accuracy, AUC, sensitivity, and specificity among the six groups of quantitative indicators were compared by the

resultsIn a combined analysis of the AUC, sensitivity, and specificity performance, the best indicator was the arterial-phase relative enhancement CT value with a cut-off of 25.85 HU (AUC, 0.966; sensitivity, 95.1%; specificity, 92.3%). We used the 100-times leave-group-out cross-validation method to validate the accuracy, AUC, sensitivity, and specificity. Arterial-phase relative enhancement CT values showed the highest AUC and accuracy among the six groups, with statistical significance (

conclusionQuantitative analysis of enhanced CT is of great clinical value in the differential diagnosis of CG and bladder cancer.

Indexed as

Tomography, X-Ray ComputedAdultArea Under CurveCystitisDiagnosis, DifferentialFemaleHumansMaleMiddle AgedROC CurveSensitivity and SpecificityUrinary Bladder Neoplasms

Identifiers

PMID32685492
PMCPMC7320292
OpenAlexW3036676295

What OpenQuestion holds

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LicenceCC BY
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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.