OBJECTIVE: To correlate the highest percentage core involvement (HPCI) and corresponding tumor length (CTL) on systematic 12-core biopsy (SBx) and targeted magnetic resonance imaging/transrectal ultrasonography (MRI/TRUS) fusion biopsy (TBx), with total MRI prostate cancer (PCa) tumor volume (TV). PATIENTS AND METHODS: Fifty patients meeting criteria for active surveillance (AS) based on outside SBx, who underwent 3.0T multiparametric prostate MRI (MP-MRI), followed by SBx and TBx during the same session at our institution were examined. PCa TVs were calculated using MP-MRI and then correlated using bivariate analysis with the HPCI and CTL for SBx and TBx. RESULTS: For TBx, HPCI and CTL showed a positive correlation (R(2)=0.31, P<0.0001 and R(2)=0.37, P<0.0001, respectively) with total MRI PCa TV, whereas for SBx, these parameters showed a poor correlation (R(2)=0.00006, P=0.96 and R(2)=0.0004, P=0.89, respectively). For detection of patients with clinically significant MRI derived tumor burden greater than 500 mm(3), SBx was 25% sensitive, 90.9% specific (falsely elevated because of missed tumors and extremely low sensitivity), and 54% accurate in comparison with TBx, which was 53.6% sensitive, 86.4% specific, and 68% accurate. CONCLUSIONS: HPCI and CTL on TBx positively correlates with total MRI PCa TV, whereas there was no correlation seen with SBx. TBx is superior to SBx for detecting tumor burden greater than 500 mm(3). When using biopsy positive MRI derived TVs, TBx better reflects overall disease burden, improving risk stratification among candidates for active surveillance.
OBJECTIVE: To correlate the highest percentage core involvement (HPCI) and corresponding tumor length (CTL) on systematic 12-core biopsy (SBx) and targeted magnetic resonance imaging/transrectal ultrasonography (MRI/TRUS) fusion biopsy (TBx), with total MRI prostate cancer (PCa) tumor volume (TV). PATIENTS AND METHODS: Fifty patients meeting criteria for active surveillance (AS) based on outside SBx, who underwent 3.0T multiparametric prostate MRI (MP-MRI), followed by SBx and TBx during the same session at our institution were examined. PCa TVs were calculated using MP-MRI and then correlated using bivariate analysis with the HPCI and CTL for SBx and TBx. RESULTS: For TBx, HPCI and CTL showed a positive correlation (R(2)=0.31, P<0.0001 and R(2)=0.37, P<0.0001, respectively) with total MRI PCa TV, whereas for SBx, these parameters showed a poor correlation (R(2)=0.00006, P=0.96 and R(2)=0.0004, P=0.89, respectively). For detection of patients with clinically significant MRI derived tumor burden greater than 500 mm(3), SBx was 25% sensitive, 90.9% specific (falsely elevated because of missed tumors and extremely low sensitivity), and 54% accurate in comparison with TBx, which was 53.6% sensitive, 86.4% specific, and 68% accurate. CONCLUSIONS: HPCI and CTL on TBx positively correlates with total MRI PCa TV, whereas there was no correlation seen with SBx. TBx is superior to SBx for detecting tumor burden greater than 500 mm(3). When using biopsy positive MRI derived TVs, TBx better reflects overall disease burden, improving risk stratification among candidates for active surveillance.
Authors: Cheng W Hong; Soroush Rais-Bahrami; Annerleim Walton-Diaz; Nabeel Shakir; Daniel Su; Arvin K George; Maria J Merino; Baris Turkbey; Peter L Choyke; Bradford J Wood; Peter A Pinto Journal: BJU Int Date: 2014-12-15 Impact factor: 5.588
Authors: D G Bostwick; S D Graham; P Napalkov; P A Abrahamsson; P A di Sant'agnese; F Algaba; P A Hoisaeter; F Lee; P Littrup; F K Mostofi Journal: Urology Date: 1993-05 Impact factor: 2.649
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Authors: Matthew J Watson; Arvin K George; Mahir Maruf; Thomas P Frye; Akhil Muthigi; Michael Kongnyuy; Subin G Valayil; Peter A Pinto Journal: Future Oncol Date: 2016-07-12 Impact factor: 3.404
Authors: Marc A Bjurlin; Peter R Carroll; Scott Eggener; Pat F Fulgham; Daniel J Margolis; Peter A Pinto; Andrew B Rosenkrantz; Jonathan N Rubenstein; Daniel B Rukstalis; Samir S Taneja; Baris Turkbey Journal: J Urol Date: 2019-10-23 Impact factor: 7.450
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Authors: Arvin K George; Baris Turkbey; Subin G Valayil; Akhil Muthigi; Francesca Mertan; Michael Kongnyuy; Peter A Pinto Journal: Abdom Radiol (NY) Date: 2016-05
Authors: Thomas P Frye; Arvin K George; Amichai Kilchevsky; Mahir Maruf; M Minhaj Siddiqui; Michael Kongnyuy; Akhil Muthigi; Hui Han; Howard L Parnes; Maria Merino; Peter L Choyke; Baris Turkbey; Brad Wood; Peter A Pinto Journal: J Urol Date: 2016-09-06 Impact factor: 7.450
Authors: Raju Chelluri; Amichai Kilchevsky; Arvin K George; Abhinav Sidana; Thomas P Frye; Daniel Su; Michele Fascelli; Richard Ho; Steven F Abboud; Baris Turkbey; Maria J Merino; Peter L Choyke; Bradford J Wood; Peter A Pinto Journal: J Urol Date: 2016-02-13 Impact factor: 7.450
Authors: Samuel Borofsky; Arvin K George; Sonia Gaur; Marcelino Bernardo; Matthew D Greer; Francesca V Mertan; Myles Taffel; Vanesa Moreno; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey Journal: Radiology Date: 2017-10-20 Impact factor: 11.105