Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy

Detalhes bibliográficos
Autor(a) principal: Eismann,Lennert
Data de Publicação: 2022
Outros Autores: Rodler,Severin, Tamalunas,Alexander, Schulz,Gerald, Jokisch,Friedrich, Volz,Yannic, Pfitzinger,Paulo, Schlenker,Boris, Stief,Christian, Solyanik,Olga, Buchner,Alexander, Grimm,Tobias
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Braz J Urol (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382022000100089
Resumo: ABSTRACT Purpose: Contrast-enhanced CT scan is the standard staging modality for patients with bladder cancer undergoing radical cystectomy (RC). Involvement of lymph nodes (LN) determines prognosis of patients with bladder cancer. The detection of LN metastasis by CT scan is still insufficient. Therefore, we investigated various CT scan characteristics to predict lymph node ratio (LNR) and its impact on survival. Also, pre-operative CT scan characteristics might hold potential to risk stratify cN+ patients. Materials and Methods: We analyzed preoperative CT scans of patients undergoing RC in a tertiary high volume center. Retrospectively, local tumor stage and LN characteristics such as size, morphology (MLN) and number of loco-regional LN (NLN) were investigated and correlation to LNR and survival was analyzed. CT scan characteristics were used to develop a risk stratification using Kaplan-Maier and multivariate analysis. Results: 764 cN0 and 166 cN+ patients with complete follow-up and imaging data were included in the study. Accuracy to detect LN metastasis and locally advanced tumor stage in CT scan was 72% and 62%. LN larger than 15mm in diameter were significantly associated with higher LNR (p=0.002). Increased NLN correlated with decreased CSS and OS (p=0.001: p=0.002). Furthermore, CT scan based scoring system precisely differentiates low-risk and high-risk profiles to predict oncological outcome (p <0.001). Conclusion: In our study, solely LN size >15mm significantly correlated with higher LNR. Identification of increased loco-regional LN was associated with worse survival. For the first time, precise risk stratification based on computed-tomography findings was developed to predict oncological outcome for clinical lymph node-positive patients undergoing RC.
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spelling Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomyUrinary Bladder NeoplasmsTomography, X-Ray ComputedLymph Node RatioABSTRACT Purpose: Contrast-enhanced CT scan is the standard staging modality for patients with bladder cancer undergoing radical cystectomy (RC). Involvement of lymph nodes (LN) determines prognosis of patients with bladder cancer. The detection of LN metastasis by CT scan is still insufficient. Therefore, we investigated various CT scan characteristics to predict lymph node ratio (LNR) and its impact on survival. Also, pre-operative CT scan characteristics might hold potential to risk stratify cN+ patients. Materials and Methods: We analyzed preoperative CT scans of patients undergoing RC in a tertiary high volume center. Retrospectively, local tumor stage and LN characteristics such as size, morphology (MLN) and number of loco-regional LN (NLN) were investigated and correlation to LNR and survival was analyzed. CT scan characteristics were used to develop a risk stratification using Kaplan-Maier and multivariate analysis. Results: 764 cN0 and 166 cN+ patients with complete follow-up and imaging data were included in the study. Accuracy to detect LN metastasis and locally advanced tumor stage in CT scan was 72% and 62%. LN larger than 15mm in diameter were significantly associated with higher LNR (p=0.002). Increased NLN correlated with decreased CSS and OS (p=0.001: p=0.002). Furthermore, CT scan based scoring system precisely differentiates low-risk and high-risk profiles to predict oncological outcome (p <0.001). Conclusion: In our study, solely LN size >15mm significantly correlated with higher LNR. Identification of increased loco-regional LN was associated with worse survival. For the first time, precise risk stratification based on computed-tomography findings was developed to predict oncological outcome for clinical lymph node-positive patients undergoing RC.Sociedade Brasileira de Urologia2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382022000100089International braz j urol v.48 n.1 2022reponame:International Braz J Urol (Online)instname:Sociedade Brasileira de Urologia (SBU)instacron:SBU10.1590/s1677-5538.ibju.2021.0329info:eu-repo/semantics/openAccessEismann,LennertRodler,SeverinTamalunas,AlexanderSchulz,GeraldJokisch,FriedrichVolz,YannicPfitzinger,PauloSchlenker,BorisStief,ChristianSolyanik,OlgaBuchner,AlexanderGrimm,Tobiaseng2022-01-10T00:00:00Zoai:scielo:S1677-55382022000100089Revistahttp://www.brazjurol.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||brazjurol@brazjurol.com.br1677-61191677-5538opendoar:2022-01-10T00:00International Braz J Urol (Online) - Sociedade Brasileira de Urologia (SBU)false
dc.title.none.fl_str_mv Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
title Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
spellingShingle Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
Eismann,Lennert
Urinary Bladder Neoplasms
Tomography, X-Ray Computed
Lymph Node Ratio
title_short Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
title_full Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
title_fullStr Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
title_full_unstemmed Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
title_sort Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
author Eismann,Lennert
author_facet Eismann,Lennert
Rodler,Severin
Tamalunas,Alexander
Schulz,Gerald
Jokisch,Friedrich
Volz,Yannic
Pfitzinger,Paulo
Schlenker,Boris
Stief,Christian
Solyanik,Olga
Buchner,Alexander
Grimm,Tobias
author_role author
author2 Rodler,Severin
Tamalunas,Alexander
Schulz,Gerald
Jokisch,Friedrich
Volz,Yannic
Pfitzinger,Paulo
Schlenker,Boris
Stief,Christian
Solyanik,Olga
Buchner,Alexander
Grimm,Tobias
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Eismann,Lennert
Rodler,Severin
Tamalunas,Alexander
Schulz,Gerald
Jokisch,Friedrich
Volz,Yannic
Pfitzinger,Paulo
Schlenker,Boris
Stief,Christian
Solyanik,Olga
Buchner,Alexander
Grimm,Tobias
dc.subject.por.fl_str_mv Urinary Bladder Neoplasms
Tomography, X-Ray Computed
Lymph Node Ratio
topic Urinary Bladder Neoplasms
Tomography, X-Ray Computed
Lymph Node Ratio
description ABSTRACT Purpose: Contrast-enhanced CT scan is the standard staging modality for patients with bladder cancer undergoing radical cystectomy (RC). Involvement of lymph nodes (LN) determines prognosis of patients with bladder cancer. The detection of LN metastasis by CT scan is still insufficient. Therefore, we investigated various CT scan characteristics to predict lymph node ratio (LNR) and its impact on survival. Also, pre-operative CT scan characteristics might hold potential to risk stratify cN+ patients. Materials and Methods: We analyzed preoperative CT scans of patients undergoing RC in a tertiary high volume center. Retrospectively, local tumor stage and LN characteristics such as size, morphology (MLN) and number of loco-regional LN (NLN) were investigated and correlation to LNR and survival was analyzed. CT scan characteristics were used to develop a risk stratification using Kaplan-Maier and multivariate analysis. Results: 764 cN0 and 166 cN+ patients with complete follow-up and imaging data were included in the study. Accuracy to detect LN metastasis and locally advanced tumor stage in CT scan was 72% and 62%. LN larger than 15mm in diameter were significantly associated with higher LNR (p=0.002). Increased NLN correlated with decreased CSS and OS (p=0.001: p=0.002). Furthermore, CT scan based scoring system precisely differentiates low-risk and high-risk profiles to predict oncological outcome (p <0.001). Conclusion: In our study, solely LN size >15mm significantly correlated with higher LNR. Identification of increased loco-regional LN was associated with worse survival. For the first time, precise risk stratification based on computed-tomography findings was developed to predict oncological outcome for clinical lymph node-positive patients undergoing RC.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382022000100089
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382022000100089
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1677-5538.ibju.2021.0329
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Urologia
publisher.none.fl_str_mv Sociedade Brasileira de Urologia
dc.source.none.fl_str_mv International braz j urol v.48 n.1 2022
reponame:International Braz J Urol (Online)
instname:Sociedade Brasileira de Urologia (SBU)
instacron:SBU
instname_str Sociedade Brasileira de Urologia (SBU)
instacron_str SBU
institution SBU
reponame_str International Braz J Urol (Online)
collection International Braz J Urol (Online)
repository.name.fl_str_mv International Braz J Urol (Online) - Sociedade Brasileira de Urologia (SBU)
repository.mail.fl_str_mv ||brazjurol@brazjurol.com.br
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