MRI - ultrasound fusion guided biopsy of the prostate: lesion volume as a predictor of cancer in patients with repeat biopsies.

Autor:	Blaine SA; Department of Urology, Mayo Clinic, Phoenix, Arizona, USA., Abdul-Muhsin HM; Department of Urology, Mayo Clinic, Phoenix, Arizona, USA., Jakob NJ; Department of Urology, Mayo Clinic, Phoenix, Arizona, USA., Andrews PE; Department of Urology, Mayo Clinic, Phoenix, Arizona, USA., Ferrigni RG; Department of Urology, Mayo Clinic, Phoenix, Arizona, USA., Cha SS; Department of Research Biostatistics, Mayo Clinic, Phoenix, Arizona, USA., Golshani A; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA., Silva AC; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA., Kawashima A; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA., Humphreys MR; Department of Urology, Mayo Clinic, Phoenix, Arizona, USA.
Jazyk:	angličtina
Zdroj:	Indian journal of urology : IJU : journal of the Urological Society of India [Indian J Urol] 2019 Jul-Sep; Vol. 35 (3), pp. 208-212.
DOI:	10.4103/iju.IJU_49_19
Abstrakt:	Introduction: The objective was to analyze the diagnostic value of multiparametric magnetic resonance imaging (MRI) prostate lesion volume (PLV) and its correlation with the subsequent MRI-ultrasound (MRI-US) fusion biopsy results. Materials and Methods: Between March 2014 and July 2016, 150 men underwent MRI-US fusion biopsies at our institution. All suspicious prostate lesions were graded according to the Prostate Imaging Reporting and Data System (PIRADS) and their volumes were measured. These lesions were subsequently biopsied. All data were prospectively collected and retrospectively analyzed. The PLV of all suspicious lesions was correlated with the presence of cancer on the final MRI-US fusion biopsy. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Results: There were 206 suspicious lesions identified in 150 men. The overall cancer detection rate was 102/206 (49.5%). The mean PLV for benign lesions was 0.63 ± 0.94 cm 3 versus 1.44 ± 1.76 cm 3 for cancerous lesions ( P < 0.01). There was a statistically significant difference between the PLV of PIRADS 5 lesions when compared to PIRADS 4, 3, and 2 lesions ( P < 0.0001, < 0.0001, and 0.006, respectively). The area under the curve for volume in predicting prostate cancer (PCa) was 0.66. The optimal volume for predicting PCa was 0.26 cm 3 with a sensitivity, specificity, PPV, and NPV of 80.7%, 42.7%, 41.2%, and 74.6%, respectively. Conclusion: PLV may serve as a useful measure to triage patients prior to MRI-US fusion biopsy and help better understand the limits of this technology for individual patients. Competing Interests: Conflicts of interest: There are no conflicts of interest.
Databáze:	MEDLINE
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