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Detection and Localization of Prostate Cancer at 3-T Multiparametric MRI Using PI-RADS Segmentation.
Wibulpolprasert, Pornphan; Raman, Steven S; Hsu, William; Margolis, Daniel J A; Asvadi, Nazanin H; Khoshnoodi, Pooria; Moshksar, Amin; Tan, Nelly; Ahuja, Preeti; Maehara, Cleo K; Huang, Jiaoti; Sayre, James; Lu, David S K; Reiter, Robert E.
Afiliação
  • Wibulpolprasert P; Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, 270 Rama VI Rd, Bangkok, Thailand 10400.
  • Raman SS; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Hsu W; Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Margolis DJA; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Asvadi NH; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Khoshnoodi P; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Moshksar A; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Tan N; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Ahuja P; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Maehara CK; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Huang J; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Sayre J; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Lu DSK; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
  • Reiter RE; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
AJR Am J Roentgenol ; 212(6): W122-W131, 2019 Jun.
Article em En | MEDLINE | ID: mdl-30995090
ABSTRACT
OBJECTIVE. The purpose of this study is to determine the overall and sector-based performance of 3-T multiparametric MRI for prostate cancer (PCa) detection and localization by using Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) scoring and segmentation compared with whole-mount histopathologic analysis. MATERIALS AND METHODS. Multiparametric 3-T MRI examinations of 415 consecutive men were compared with thin-section whole-mount histopathologic analysis. A genitourinary radiologist and pathologist collectively determined concordance. Two radiologists assigned PI-RADSv2 categories and sectoral location to all detected foci by consensus. Tumor detection rates were calculated for clinical and pathologic (Gleason score) variables. Both rigid and adjusted sector-matching models were used to account for fixation-related issues. RESULTS. The 415 patients had 863 PCa foci (52.7% had a Gleason score ≥ 7, 61.9% were ≥ 1 cm, and 90.4% (375/415) of index lesions were ≥ 1 cm) and 16,185 prostate sectors. Multiparametric MRI enabled greater detection of PCa lesions 1 cm or larger (all lesions vs index lesions, 61.6% vs 81.6%), lesions with Gleason score greater than or equal to 7 (all lesions vs index lesions, 71.4% vs 80.9%), and index lesions with both Gleason score greater than or equal to 7 and size 1 cm or larger (83.3%). Higher sensitivity was obtained for adjusted versus rigid tumor localization for all lesions (56.0% vs 28.5%), index lesions (55.4% vs 34.3%), lesions with Gleason score greater than or equal to 7 (55.7% vs 36.0%), and index lesions 1 cm or larger (56.1% vs 35.0%). Multiparametric 3-T MRI had similarly high specificity (96.0-97.9%) for overall and index tumor localization with adjusted and rigid sector-matching approaches. CONCLUSION. Using 3-T multiparametric MRI and PI-RADSv2, we achieved the highest sensitivity (83.3%) for the detection of lesions 1 cm or larger with Gleason score greater than or equal to 7. Sectoral localization of PCa within the prostate was moderate and was better with an adjusted model than with a rigid model.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: AJR Am J Roentgenol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: AJR Am J Roentgenol Ano de publicação: 2019 Tipo de documento: Article