Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/147232 |
Resumo: | Funding This work is supported by a PhD student scholarship (Adalgisa Guerra) it was granted as a scientifc project by Hospital da Luz (ID LH.INV.F2019027). Helena Mouriño was supported by CEAUL (funded by FCT, Portugal, through the project UIDB/00006/2020). |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic featuresCapsular contactExtracapsular extensionMagnetic resonance imagingProstate cancerRadical prostatectomySematic featuresStagingRadiological and Ultrasound TechnologyOncologyRadiology Nuclear Medicine and imagingSDG 3 - Good Health and Well-beingFunding This work is supported by a PhD student scholarship (Adalgisa Guerra) it was granted as a scientifc project by Hospital da Luz (ID LH.INV.F2019027). Helena Mouriño was supported by CEAUL (funded by FCT, Portugal, through the project UIDB/00006/2020).BACKGROUND: To construct a model based on magnetic resonance imaging (MRI) features and histological and clinical variables for the prediction of pathology-detected extracapsular extension (pECE) in patients with prostate cancer (PCa). METHODS: We performed a prospective 3 T MRI study comparing the clinical and MRI data on pECE obtained from patients treated using robotic-assisted radical prostatectomy (RARP) at our institution. The covariates under consideration were prostate-specific antigen (PSA) levels, the patient's age, prostate volume, and MRI interpretative features for predicting pECE based on the Prostate Imaging-Reporting and Data System (PI-RADS) version 2.0 (v2), as well as tumor capsular contact length (TCCL), length of the index lesion, and prostate biopsy Gleason score (GS). Univariable and multivariable logistic regression models were applied to explore the statistical associations and construct the model. We also recruited an additional set of participants-which included 59 patients from external institutions-to validate the model. RESULTS: The study participants included 184 patients who had undergone RARP at our institution, 26% of whom were pECE+ (i.e., pECE positive). Significant predictors of pECE+ were TCCL, capsular disruption, measurable ECE on MRI, and a GS of ≥7(4 + 3) on a prostate biopsy. The strongest predictor of pECE+ is measurable ECE on MRI, and in its absence, a combination of TCCL and prostate biopsy GS was significantly effective for detecting the patient's risk of being pECE+. Our predictive model showed a satisfactory performance at distinguishing between patients with pECE+ and patients with pECE-, with an area under the ROC curve (AUC) of 0.90 (86.0-95.8%), high sensitivity (86%), and moderate specificity (70%). CONCLUSIONS: Our predictive model, based on consistent MRI features (i.e., measurable ECE and TCCL) and a prostate biopsy GS, has satisfactory performance and sufficiently high sensitivity for predicting pECE+. Hence, the model could be a valuable tool for surgeons planning preoperative nerve sparing, as it would reduce positive surgical margins.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNGuerra, AdalgisaAlves, Filipe CaseiroMaes, KrisJoniau, StevenCassis, JoãoMaio, RuiCravo, MaríliaMouriño, Helena2023-01-09T22:16:22Z2022-12-232022-12-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/147232eng1470-7330PURE: 49448615https://doi.org/10.1186/s40644-022-00509-8info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:28:16Zoai:run.unl.pt:10362/147232Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:49.597689Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
title |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
spellingShingle |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features Guerra, Adalgisa Capsular contact Extracapsular extension Magnetic resonance imaging Prostate cancer Radical prostatectomy Sematic features Staging Radiological and Ultrasound Technology Oncology Radiology Nuclear Medicine and imaging SDG 3 - Good Health and Well-being |
title_short |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
title_full |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
title_fullStr |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
title_full_unstemmed |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
title_sort |
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features |
author |
Guerra, Adalgisa |
author_facet |
Guerra, Adalgisa Alves, Filipe Caseiro Maes, Kris Joniau, Steven Cassis, João Maio, Rui Cravo, Marília Mouriño, Helena |
author_role |
author |
author2 |
Alves, Filipe Caseiro Maes, Kris Joniau, Steven Cassis, João Maio, Rui Cravo, Marília Mouriño, Helena |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
dc.contributor.author.fl_str_mv |
Guerra, Adalgisa Alves, Filipe Caseiro Maes, Kris Joniau, Steven Cassis, João Maio, Rui Cravo, Marília Mouriño, Helena |
dc.subject.por.fl_str_mv |
Capsular contact Extracapsular extension Magnetic resonance imaging Prostate cancer Radical prostatectomy Sematic features Staging Radiological and Ultrasound Technology Oncology Radiology Nuclear Medicine and imaging SDG 3 - Good Health and Well-being |
topic |
Capsular contact Extracapsular extension Magnetic resonance imaging Prostate cancer Radical prostatectomy Sematic features Staging Radiological and Ultrasound Technology Oncology Radiology Nuclear Medicine and imaging SDG 3 - Good Health and Well-being |
description |
Funding This work is supported by a PhD student scholarship (Adalgisa Guerra) it was granted as a scientifc project by Hospital da Luz (ID LH.INV.F2019027). Helena Mouriño was supported by CEAUL (funded by FCT, Portugal, through the project UIDB/00006/2020). |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-23 2022-12-23T00:00:00Z 2023-01-09T22:16:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/147232 |
url |
http://hdl.handle.net/10362/147232 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1470-7330 PURE: 49448615 https://doi.org/10.1186/s40644-022-00509-8 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799138119312736256 |