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Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography.

Authors :
Starmans, Martijn P. A.
Ho, Li Shen
Smits, Fokko
Beije, Nick
de Kruijff, Inge
de Jong, Joep J.
Somford, Diederik M.
Boevé, Egbert R.
te Slaa, Ed
Cauberg, Evelyne C. C.
Klaver, Sjoerd
van der Heijden, Antoine G.
Wijburg, Carl J.
van de Luijtgaarden, Addy C. M.
van Melick, Harm H. E.
Cauffman, Ella
de Vries, Peter
Jacobs, Rens
Niessen, Wiro J.
Visser, Jacob J.
Source :
Journal of Personalized Medicine. May2022, Vol. 12 Issue 5, p726-726. 16p.
Publication Year :
2022

Abstract

Approximately 25% of the patients with muscle-invasive bladder cancer (MIBC) who are clinically node negative have occult lymph node metastases at radical cystectomy (RC) and pelvic lymph node dissection. The aim of this study was to evaluate preoperative CT-based radiomics to differentiate between pN+ and pN0 disease in patients with clinical stage cT2-T4aN0-N1M0 MIBC. Patients with cT2-T4aN0-N1M0 MIBC, of whom preoperative CT scans and pathology reports were available, were included from the prospective, multicenter CirGuidance trial. After manual segmentation of the lymph nodes, 564 radiomics features were extracted. A combination of different machine-learning methods was used to develop various decision models to differentiate between patients with pN+ and pN0 disease. A total of 209 patients (159 pN0; 50 pN+) were included, with a total of 3153 segmented lymph nodes. None of the individual radiomics features showed significant differences between pN+ and pN0 disease, and none of the radiomics models performed substantially better than random guessing. Hence, CT-based radiomics does not contribute to differentiation between pN+ and pN0 disease in patients with cT2-T4aN0-N1M0 MIBC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754426
Volume :
12
Issue :
5
Database :
Academic Search Index
Journal :
Journal of Personalized Medicine
Publication Type :
Academic Journal
Accession number :
157240302
Full Text :
https://doi.org/10.3390/jpm12050726