Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments

Detalhes bibliográficos
Autor(a) principal: Antunes,Alberto A.
Data de Publicação: 2007
Outros Autores: Srougi,Miguel, Dall'oglio,Marcos F., Crippa,Alexandre, Nesrallah,Adriano J., Nesrallah,Luciano J., Leite,Katia R.
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=S1677-55382007000400004
Resumo: OBJECTIVE: Preoperative determination of prostate cancer (PCa) tumor volume (TV) is still a big challenge. We have assessed variables obtained in prostatic biopsy aiming at determining which is the best method to predict the TV in radical prostatectomy (RP) specimens. MATERIALS AND METHODS: Biopsy findings of 162 men with PCa submitted to radical prostatectomy were revised. Preoperative characteristics, such as PSA, the percentage of positive fragments (PPF), the total percentage of cancer in the biopsy (TPC), the maximum percentage of cancer in a fragment (MPC), the presence of perineural invasion (PNI) and the Gleason score were correlated with postoperative surgical findings through an univariate analysis of a linear regression model. RESULTS: The TV correlated significantly to the PPF, TPC, MPC, PSA and to the presence of PNI (p < 0.001). However, the Pearson correlation analysis test showed an R2 of only 24%, 12%, 17% and 9% for the PPF, TPC, MPC, and PSA respectively. The combination of the PPF with the PSA and the PNI analysis showed to be a better model to predict the TV (R2 of 32.3%). The TV could be determined through the formula: Volume = 1.108 + 0.203 x PSA + 0.066 x PPF + 2.193 x PNI. CONCLUSIONS: The PPF seems to be better than the TPC and the MPC to predict the TV in the surgical specimen. Due to the weak correlation between those variables and the TV, the PSA and the presence of PNI should be used together.
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spelling Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragmentsprostatic neoplasmsneedle biopsyvolumetumorprognosisOBJECTIVE: Preoperative determination of prostate cancer (PCa) tumor volume (TV) is still a big challenge. We have assessed variables obtained in prostatic biopsy aiming at determining which is the best method to predict the TV in radical prostatectomy (RP) specimens. MATERIALS AND METHODS: Biopsy findings of 162 men with PCa submitted to radical prostatectomy were revised. Preoperative characteristics, such as PSA, the percentage of positive fragments (PPF), the total percentage of cancer in the biopsy (TPC), the maximum percentage of cancer in a fragment (MPC), the presence of perineural invasion (PNI) and the Gleason score were correlated with postoperative surgical findings through an univariate analysis of a linear regression model. RESULTS: The TV correlated significantly to the PPF, TPC, MPC, PSA and to the presence of PNI (p < 0.001). However, the Pearson correlation analysis test showed an R2 of only 24%, 12%, 17% and 9% for the PPF, TPC, MPC, and PSA respectively. The combination of the PPF with the PSA and the PNI analysis showed to be a better model to predict the TV (R2 of 32.3%). The TV could be determined through the formula: Volume = 1.108 + 0.203 x PSA + 0.066 x PPF + 2.193 x PNI. CONCLUSIONS: The PPF seems to be better than the TPC and the MPC to predict the TV in the surgical specimen. Due to the weak correlation between those variables and the TV, the PSA and the presence of PNI should be used together.Sociedade Brasileira de Urologia2007-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382007000400004International braz j urol v.33 n.4 2007reponame:International Braz J Urol (Online)instname:Sociedade Brasileira de Urologia (SBU)instacron:SBU10.1590/S1677-55382007000400004info:eu-repo/semantics/openAccessAntunes,Alberto A.Srougi,MiguelDall'oglio,Marcos F.Crippa,AlexandreNesrallah,Adriano J.Nesrallah,Luciano J.Leite,Katia R.eng2007-10-23T00:00:00Zoai:scielo:S1677-55382007000400004Revistahttp://www.brazjurol.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||brazjurol@brazjurol.com.br1677-61191677-5538opendoar:2007-10-23T00:00International Braz J Urol (Online) - Sociedade Brasileira de Urologia (SBU)false
dc.title.none.fl_str_mv Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
title Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
spellingShingle Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
Antunes,Alberto A.
prostatic neoplasms
needle biopsy
volume
tumor
prognosis
title_short Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
title_full Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
title_fullStr Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
title_full_unstemmed Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
title_sort Preoperative determination of prostate cancer tumor volume: analysis through biopsy fragments
author Antunes,Alberto A.
author_facet Antunes,Alberto A.
Srougi,Miguel
Dall'oglio,Marcos F.
Crippa,Alexandre
Nesrallah,Adriano J.
Nesrallah,Luciano J.
Leite,Katia R.
author_role author
author2 Srougi,Miguel
Dall'oglio,Marcos F.
Crippa,Alexandre
Nesrallah,Adriano J.
Nesrallah,Luciano J.
Leite,Katia R.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Antunes,Alberto A.
Srougi,Miguel
Dall'oglio,Marcos F.
Crippa,Alexandre
Nesrallah,Adriano J.
Nesrallah,Luciano J.
Leite,Katia R.
dc.subject.por.fl_str_mv prostatic neoplasms
needle biopsy
volume
tumor
prognosis
topic prostatic neoplasms
needle biopsy
volume
tumor
prognosis
description OBJECTIVE: Preoperative determination of prostate cancer (PCa) tumor volume (TV) is still a big challenge. We have assessed variables obtained in prostatic biopsy aiming at determining which is the best method to predict the TV in radical prostatectomy (RP) specimens. MATERIALS AND METHODS: Biopsy findings of 162 men with PCa submitted to radical prostatectomy were revised. Preoperative characteristics, such as PSA, the percentage of positive fragments (PPF), the total percentage of cancer in the biopsy (TPC), the maximum percentage of cancer in a fragment (MPC), the presence of perineural invasion (PNI) and the Gleason score were correlated with postoperative surgical findings through an univariate analysis of a linear regression model. RESULTS: The TV correlated significantly to the PPF, TPC, MPC, PSA and to the presence of PNI (p < 0.001). However, the Pearson correlation analysis test showed an R2 of only 24%, 12%, 17% and 9% for the PPF, TPC, MPC, and PSA respectively. The combination of the PPF with the PSA and the PNI analysis showed to be a better model to predict the TV (R2 of 32.3%). The TV could be determined through the formula: Volume = 1.108 + 0.203 x PSA + 0.066 x PPF + 2.193 x PNI. CONCLUSIONS: The PPF seems to be better than the TPC and the MPC to predict the TV in the surgical specimen. Due to the weak correlation between those variables and the TV, the PSA and the presence of PNI should be used together.
publishDate 2007
dc.date.none.fl_str_mv 2007-08-01
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=S1677-55382007000400004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382007000400004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1677-55382007000400004
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.33 n.4 2007
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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