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The Key Combined Value of Multiparametric Magnetic Resonance Imaging, and Magnetic Resonance Imaging-targeted and Concomitant Systematic Biopsies for the Prediction of Adverse Pathological Features in Prostate Cancer Patients Undergoing Radical Prostatectomy.
Gandaglia, Giorgio; Ploussard, Guillaume; Valerio, Massimo; Mattei, Agostino; Fiori, Cristian; Roumiguié, Mathieu; Fossati, Nicola; Stabile, Armando; Beauval, Jean-Baptiste; Malavaud, Bernard; Scuderi, Simone; Barletta, Francesco; Moschini, Marco; Zamboni, Stefania; Rakauskas, Arnas; Tian, Zhe; Karakiewicz, Pierre I; De Cobelli, Francesco; Porpiglia, Francesco; Montorsi, Francesco; Briganti, Alberto.
Afiliación
  • Gandaglia G; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Ploussard G; Department of Urology, Saint Jean Languedoc/La Croix du Sud Hospital, Toulouse, France.
  • Valerio M; Department of Urology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
  • Mattei A; Klinik für Urologie, Luzerner Kantonsspital, Lucerne, Switzerland.
  • Fiori C; Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
  • Roumiguié M; Department of Urology, Andrology and Renal Transplantation, CHU Rangueil, Toulouse, France.
  • Fossati N; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Stabile A; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Beauval JB; Department of Urology, Andrology and Renal Transplantation, CHU Rangueil, Toulouse, France.
  • Malavaud B; Department of Urology, Andrology and Renal Transplantation, CHU Rangueil, Toulouse, France.
  • Scuderi S; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Barletta F; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Moschini M; Klinik für Urologie, Luzerner Kantonsspital, Lucerne, Switzerland.
  • Zamboni S; Klinik für Urologie, Luzerner Kantonsspital, Lucerne, Switzerland.
  • Rakauskas A; Department of Urology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
  • Tian Z; Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada.
  • Karakiewicz PI; Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada.
  • De Cobelli F; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • Porpiglia F; Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
  • Montorsi F; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • Briganti A; Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy. Electronic address: briganti.alberto@hsr.it.
Eur Urol ; 77(6): 733-741, 2020 06.
Article en En | MEDLINE | ID: mdl-31547938
ABSTRACT

BACKGROUND:

The combined role of multiparametric magnetic resonance imaging (mp-MRI), and magnetic resonance imaging (MRI)-targeted and concomitant systematic biopsies in the identification of prostate cancer (PCa) patients at a higher risk of adverse pathology at radical prostatectomy (RP) is still unclear.

OBJECTIVE:

To develop novel models to predict extracapsular extension (ECE), seminal vesicle invasion (SVI), or upgrading in patients diagnosed with MRI-targeted and concomitant systematic biopsies. DESIGN, SETTING, AND

PARTICIPANTS:

We included 614 men with clinical stage≤T2 at digital rectal examination who underwent MRI-targeted biopsy with concomitant systematic biopsy. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES Logistic regression analyses predicting ECE, SVI, and upgrading (ie, a shift from biopsy International Society of Urological Pathology grade group to any higher grade at RP) based on clinical variables with or without mp-MRI features and systematic biopsy information (the percentage of cores with grade group ≥2 PCa) were developed and internally validated. The area under the curve (AUC) was used to identify the models with the highest discrimination. Decision-curve analyses (DCAs) determined the net benefit associated with their use. RESULTS AND

LIMITATIONS:

Overall, 333 (54%), 88 (14%), and 169 (27%) patients had ECE, SVI, and upgrading at RP, respectively. The inclusion of mp-MRI data improved the discrimination of clinical models for ECE (67% vs 70%) and SVI (74% vs 76%). Models including mp-MRI, and MRI-targeted and concomitant systematic biopsy information achieved the highest AUC at internal validation for ECE (73%), SVI (81%), and upgrading (73%) and represented the basis for three risk calculators that yield the highest net benefit at DCA.

CONCLUSIONS:

Not only mp-MRI and MRI-targeted sampling, but also concomitant systematic biopsies provide significant information to identify patients at a higher risk of adverse pathology. Although omitting systematic prostate sampling at the time of MRI-targeted biopsy might be associated with a reduced risk of detecting insignificant PCa and lower patient discomfort, it reduces the ability to accurately predict pathological features. PATIENT

SUMMARY:

The combination of multiparametric magnetic resonance imaging (mp-MRI) with accurate biopsy information on MRI-targeted and systematic biopsies improves the accuracy of multivariable models based on clinical and mp-MRI data alone. Correct mp-MRI interpretation and proper extensive prostate sampling are both needed to predict adverse pathology accurately at radical prostatectomy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Imagen por Resonancia Magnética Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Revista: Eur Urol Año: 2020 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Imagen por Resonancia Magnética Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged Idioma: En Revista: Eur Urol Año: 2020 Tipo del documento: Article País de afiliación: Italia
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