Cargando…

Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer

PURPOSE: To provide first evidence of lymph node (LN) staging using CT scan and its prognostic value in variant histologies of bladder cancer. This knowledge may optimize patient management with variant histologies based on CT morphological findings. METHODS: Preoperative CT scans of patients with v...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodler, Severin, Solyanik, Olga, Ingenerf, Maria, Fabritius, Matthias, Schulz, Gerald B., Jokisch, Friedrich, Volz, Yannic, Westhofen, Thilo, Ebner, Benedikt, Casuscelli, Jozefina, Kretschmer, Alexander, Waidelich, Raphaela, Schlenker, Boris, Stief, Christian, Buchner, Alexander, Eismann, Lennert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236971/
https://www.ncbi.nlm.nih.gov/pubmed/35460375
http://dx.doi.org/10.1007/s00345-022-04010-6
_version_ 1784736659135266816
author Rodler, Severin
Solyanik, Olga
Ingenerf, Maria
Fabritius, Matthias
Schulz, Gerald B.
Jokisch, Friedrich
Volz, Yannic
Westhofen, Thilo
Ebner, Benedikt
Casuscelli, Jozefina
Kretschmer, Alexander
Waidelich, Raphaela
Schlenker, Boris
Stief, Christian
Buchner, Alexander
Eismann, Lennert
author_facet Rodler, Severin
Solyanik, Olga
Ingenerf, Maria
Fabritius, Matthias
Schulz, Gerald B.
Jokisch, Friedrich
Volz, Yannic
Westhofen, Thilo
Ebner, Benedikt
Casuscelli, Jozefina
Kretschmer, Alexander
Waidelich, Raphaela
Schlenker, Boris
Stief, Christian
Buchner, Alexander
Eismann, Lennert
author_sort Rodler, Severin
collection PubMed
description PURPOSE: To provide first evidence of lymph node (LN) staging using CT scan and its prognostic value in variant histologies of bladder cancer. This knowledge may optimize patient management with variant histologies based on CT morphological findings. METHODS: Preoperative CT scans of patients with variant histologies who underwent RC between 2004 and 2019 were reanalyzed by two independent radiologists in a blinded review process. Specificity, sensitivity, and accuracy for LN staging as well as LN characteristics were evaluated. Correlation with survival was investigated by Kaplan–Meier method, log-rank test and multivariate analysis. RESULTS: 1361 patients with primary tumor of the bladder underwent RC, of which 163 (12%) patients revealed variant histologies. 65 (47.8%) patients have shown an urothelial variant (UV) and 71 (52.2%) a non-urothelial variant (NUV). LN metastases were found in 18 (27.7%) patients with UV and 21 (29.6%) patients with NUV. The accuracy to detect LN metastasis for all variant histologies was 62% with a sensitivity of 46% and a specificity of 70%. Subgroups of UV and NUV revealed an accuracy of 67% and 57%. An increased number of regional LN (HR 2.8; 1.34–6.18) and the loss of fatty hilum (HR 0.36, 0.17–0.76) were prognostic parameters. In multivariate analysis, a fatty hilum (HR 0.313, 0.104–0.945) and the presence of lymph node metastases (HR 2.866, 1.140–7.207) were prognostic. CONCLUSION: This first study on CT morphological behavior of variant histologies revealed an accuracy of UV and NUV comparable to UC with low specificity for all variant histologies. CT scan prior RC should be interpreted in regard to histological subtypes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-022-04010-6.
format Online
Article
Text
id pubmed-9236971
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-92369712022-06-29 Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer Rodler, Severin Solyanik, Olga Ingenerf, Maria Fabritius, Matthias Schulz, Gerald B. Jokisch, Friedrich Volz, Yannic Westhofen, Thilo Ebner, Benedikt Casuscelli, Jozefina Kretschmer, Alexander Waidelich, Raphaela Schlenker, Boris Stief, Christian Buchner, Alexander Eismann, Lennert World J Urol Original Article PURPOSE: To provide first evidence of lymph node (LN) staging using CT scan and its prognostic value in variant histologies of bladder cancer. This knowledge may optimize patient management with variant histologies based on CT morphological findings. METHODS: Preoperative CT scans of patients with variant histologies who underwent RC between 2004 and 2019 were reanalyzed by two independent radiologists in a blinded review process. Specificity, sensitivity, and accuracy for LN staging as well as LN characteristics were evaluated. Correlation with survival was investigated by Kaplan–Meier method, log-rank test and multivariate analysis. RESULTS: 1361 patients with primary tumor of the bladder underwent RC, of which 163 (12%) patients revealed variant histologies. 65 (47.8%) patients have shown an urothelial variant (UV) and 71 (52.2%) a non-urothelial variant (NUV). LN metastases were found in 18 (27.7%) patients with UV and 21 (29.6%) patients with NUV. The accuracy to detect LN metastasis for all variant histologies was 62% with a sensitivity of 46% and a specificity of 70%. Subgroups of UV and NUV revealed an accuracy of 67% and 57%. An increased number of regional LN (HR 2.8; 1.34–6.18) and the loss of fatty hilum (HR 0.36, 0.17–0.76) were prognostic parameters. In multivariate analysis, a fatty hilum (HR 0.313, 0.104–0.945) and the presence of lymph node metastases (HR 2.866, 1.140–7.207) were prognostic. CONCLUSION: This first study on CT morphological behavior of variant histologies revealed an accuracy of UV and NUV comparable to UC with low specificity for all variant histologies. CT scan prior RC should be interpreted in regard to histological subtypes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-022-04010-6. Springer Berlin Heidelberg 2022-04-23 2022 /pmc/articles/PMC9236971/ /pubmed/35460375 http://dx.doi.org/10.1007/s00345-022-04010-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Rodler, Severin
Solyanik, Olga
Ingenerf, Maria
Fabritius, Matthias
Schulz, Gerald B.
Jokisch, Friedrich
Volz, Yannic
Westhofen, Thilo
Ebner, Benedikt
Casuscelli, Jozefina
Kretschmer, Alexander
Waidelich, Raphaela
Schlenker, Boris
Stief, Christian
Buchner, Alexander
Eismann, Lennert
Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
title Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
title_full Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
title_fullStr Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
title_full_unstemmed Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
title_short Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
title_sort accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236971/
https://www.ncbi.nlm.nih.gov/pubmed/35460375
http://dx.doi.org/10.1007/s00345-022-04010-6
work_keys_str_mv AT rodlerseverin accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT solyanikolga accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT ingenerfmaria accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT fabritiusmatthias accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT schulzgeraldb accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT jokischfriedrich accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT volzyannic accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT westhofenthilo accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT ebnerbenedikt accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT casuscellijozefina accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT kretschmeralexander accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT waidelichraphaela accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT schlenkerboris accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT stiefchristian accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT buchneralexander accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer
AT eismannlennert accuracyandprognosticvalueofradiologicallymphnodefeaturesinvarianthistologiesofbladdercancer