Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , |
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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International Braz J Urol (Online) |
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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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1750318078169710592 |