Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor

Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor

PurposeTo develop and validate nomograms for pre-treatment prediction of malignant histology (MH) and unfavorable pathology (UP) in patients with endophytic renal tumors (ERTs).MethodsWe retrospectively reviewed the clinical information of 3245 patients with ERTs accepted surgical treatment in our c...

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Bibliographic Details
Main Authors: Xinxi Deng, Xiaoqiang Liu, Bing Hu, Ming Jiang, Ke Zhu, Jianqiang Nie, Taobin Liu, Luyao Chen, Wen Deng, Bin Fu, Situ Xiong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
endophytic renal tumor
pathological feature
malignant histology
unfavorable pathology
the R.E.N.A.L. Nephrometry Score
pathological diagnostic model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.964048/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.964048/full

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