Evidence map›Paper›PMID 38172791›Full record

ArticleBMC urology2024

CT findings and clinical characteristics in distinguishing renal urothelial carcinoma mimicking renal cell carcinoma from clear cell renal cell carcinoma.

Xin Chen, Xiao Feng, Yidi Chen, Fulin Huang, Liling Long

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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, 0 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Xin ChenDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong road, Nanning, Guangxi, 530021, China.
Xiao Feng *Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong road, Nanning, Guangxi, 530021, China.
Yidi ChenDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue alley, Chengdu, Sichuan, 610041, China.
Fulin HuangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong road, Nanning, Guangxi, 530021, China.
Liling LongDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong road, Nanning, Guangxi, 530021, China. cjr.longliling@vip.163.com.
Guangxi Medical University · CNJiangjin Central Hospital · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to characterize the clinical and multiphase computed tomography (CT) features, which can distinguish renal urothelial carcinoma (RUC) mimicking renal cell carcinoma (RCC) from clear cell renal cell carcinoma (ccRCC) with collecting system invasion (CSI).

methodsData from 56 patients with RUC (46 men and 10 women) and 366 patients with ccRCC (262 men and 104 women) were collected and assessed retrospectively. The median age was 65.50 (IQR: 56.25-69.75) and 53.50 (IQR: 42.25-62.5) years, respectively. Univariate and multivariate logistic regression analyses were performed on clinical and CT characteristics to determine independent factors for distinguishing RUC and ccRCC, and an integrated predictive model was constructed. Differential diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUC).

resultsThe independent predictors for differentiating RUC from ccRCC were infiltrative growth pattern, hydronephrosis, heterogeneous enhancement, preserving reniform contour, and hematuria. The differential diagnostic performance of the integrated predictive model-1 (AUC: 0.947, sensitivity: 89.07%, specificity: 89.29%) and model-2 (AUC: 0.960, sensitivity: 92.1%, specificity: 89.3%) were both better than that of the infiltrative growth pattern (AUC: 0.830, sensitivity: 71.9%, specificity: 92.9%), heterogeneous enhancement (AUC: 0.771, sensitivity: 86.3%, specificity: 67.9%), preserving reniform contour (AUC = 0.758, sensitivity: 85.5%, specificity: 66.1%), hydronephrosis (AUC: 0.733, sensitivity: 87.7%, specificity: 58.9%), or hematuria (AUC: 0.706, sensitivity: 79.5%, specificity: 51.8%).

conclusionThe CT and clinical characteristics showed extraordinary discriminative abilities in the differential diagnosis of RUC and ccRCC, which might provide helpful information for clinical decision-making.

Indexed as

Carcinoma, Renal CellCarcinoma, Transitional CellHydronephrosisKidney NeoplasmsUrinary Bladder NeoplasmsAgedDiagnosis, DifferentialFemaleHematuriaHumansMaleRetrospective StudiesTomography, X-Ray ComputedccRCCCollecting system invasionComputed tomographyDifferential diagnosisPredictive modelRenal urothelial carcinoma

Identifiers

PMID38172791
PMCPMC10765735
OpenAlexW4390571687

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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.