MRI - Ultrasound fusion guided biopsy of the prostate: Lesion volume as a predictor of cancer in patients with repeat biopsies

Scott Blaine, Haidar Abdul-Muhsin, Nicholas Jakob, Paul Andrews, Robert Ferrigni, Stephen Cha, Ashkahn Golshani, Alvin Silva, Akira Kawashima, Mitchell Humphreys

Research output: Contribution to journalArticle

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Abstract

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 cm3 versus 1.44 ± 1.76 cm3 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 cm3 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.

Original languageEnglish (US)
Pages (from-to)208-212
Number of pages5
JournalIndian Journal of Urology
Volume35
Issue number3
DOIs
StatePublished - Jul 1 2019

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Prostate
Magnetic Resonance Imaging
Biopsy
Neoplasms
Information Systems
Prostatic Neoplasms
Sensitivity and Specificity
Triage
Area Under Curve
Technology

ASJC Scopus subject areas

  • Urology

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MRI - Ultrasound fusion guided biopsy of the prostate : Lesion volume as a predictor of cancer in patients with repeat biopsies. / Blaine, Scott; Abdul-Muhsin, Haidar; Jakob, Nicholas; Andrews, Paul; Ferrigni, Robert; Cha, Stephen; Golshani, Ashkahn; Silva, Alvin; Kawashima, Akira; Humphreys, Mitchell.

In: Indian Journal of Urology, Vol. 35, No. 3, 01.07.2019, p. 208-212.

Research output: Contribution to journalArticle

Blaine, Scott ; Abdul-Muhsin, Haidar ; Jakob, Nicholas ; Andrews, Paul ; Ferrigni, Robert ; Cha, Stephen ; Golshani, Ashkahn ; Silva, Alvin ; Kawashima, Akira ; Humphreys, Mitchell. / MRI - Ultrasound fusion guided biopsy of the prostate : Lesion volume as a predictor of cancer in patients with repeat biopsies. In: Indian Journal of Urology. 2019 ; Vol. 35, No. 3. pp. 208-212.
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abstract = "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 cm3 versus 1.44 ± 1.76 cm3 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 cm3 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.",
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T1 - MRI - Ultrasound fusion guided biopsy of the prostate

T2 - Lesion volume as a predictor of cancer in patients with repeat biopsies

AU - Blaine, Scott

AU - Abdul-Muhsin, Haidar

AU - Jakob, Nicholas

AU - Andrews, Paul

AU - Ferrigni, Robert

AU - Cha, Stephen

AU - Golshani, Ashkahn

AU - Silva, Alvin

AU - Kawashima, Akira

AU - Humphreys, Mitchell

PY - 2019/7/1

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N2 - 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 cm3 versus 1.44 ± 1.76 cm3 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 cm3 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.

AB - 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 cm3 versus 1.44 ± 1.76 cm3 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 cm3 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.

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