Evidence map›Paper›PMID 36632158›Full record

ArticleTranslational andrology and urology2022

A morphology-based nephrometry score to predict pathological upstaging to T3 renal cell carcinoma.

Wei Zhang, Haoqing Shi, Yiren Yang, Chengwu Xiao, Xinwen Nian, Yisha Gao, Wenqiang Liu, Qingyang Pang, Xiaolei Shi

Abstract read
In one paragraph

Article in Translational andrology and urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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  3. Robotic PartialJournal of endourology · 2023
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wei Zhang *Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Haoqing Shi *Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Yiren Yang *Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Chengwu XiaoDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Xinwen NianDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Yisha GaoDepartment of Pathology, Changhai Hospital, Naval Medical University, Shanghai, China.
Wenqiang LiuDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Qingyang PangDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
Xiaolei ShiDepartment of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with clinical T1-2 renal cell carcinoma (RCC) upstaging to pathological T3 showed worse survival prognosis than those without upstaging. We aimed to develop and validate a morphology-based nephrometry scoring system for predicting pathological upstaging to T3 of RCC. Methods: We retrospectively reviewed 200 patients with clinical T1-2 RCC who underwent surgical treatment. The nephrometry scores were measured through preoperative computed tomography images. The risk factors of pathological upstaging were identified by logistic regression models. The predictive accuracy of a novel morphology-based nephrometry scoring system (M-Index), was compared with R.E.N.A.L (radius, exophytic/endophytic, nearness, anterior/posterior, location), PADUA (preoperative aspects and dimensions used for an anatomic classification), DAP (diameter, axial, polar) and C-Index scores. Results: The upstaging rate of the population was 17% (34 out of 200 patients). The upstaging and non-upstaging groups were comparable in terms of age, gender ratio, body mass index, tumor laterality, and pathological type, while the upstaging group tended to have large tumor diameter, irregular tumor morphology, inner tumor location, and short polar and axial distance. Large tumor diameter refers to larger than 5 cm, while irregular tumor morphology refers to not regular shapes such as round, oval, or lobular. Univariate and multivariate logistic regression analyses showed that tumor morphology [odds ratio (OR) 3.26, 95% confidence interval (CI): 1.79-5.97] and tumor rim location (OR 2.95, 95% CI: 1.16-7.46) were independent risk factors for pathological upstaging. The receiver operating characteristic curve and decision curve analysis (DCA) demonstrated the novel M-Index based on tumor morphology and rim location outperformed R.E.N.A.L, PADUA, DAP, and C-Index in the prediction of pathological upstaging (area under curve 0.756 Conclusions: Consisting of fewer non-complex parameters, the M-Index is an intuitive and practical tool with satisfactory predictive power for pathological upstaging to T3 in RCC patients undergoing surgery.

Indexed as

M-IndexNephrometry scorepathological upstagingRenal cell carcinoma (RCC)tumor morphology

Identifiers

PMID36632158
PMCPMC9827394

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