PURPOSE: To evaluate the concordance of cancer location of the tissue mapping from a mechanical pressure transducer with magnetic resonance imaging (MRI) scans. MATERIALS AND METHODS: A total of 60 indentations were performed on 5 prostate specimens obtained after radical prostatectomy utilizing a robotic indentation system. The mechanical elastic moduli of suspected malignant lesions were calculated and mapped, and their locations were compared with suspicious areas of malignancy on MRI scans. RESULTS: The concordance rate between the location mapping from the robotic indentation system and MRI scans results was 90.0% (54/60). The sensitivity and specificity of the robotic indentation system were 87.9% (29/33) and 92.6% (25/27), respectively. The positive predictive value and negative predictive value were 93.5% (29/31) and 93.1% (27/29), respectively. CONCLUSION: The locations of malignant lesions derived from our robotic indentation system correlated strongly with the locations of suspected areas of malignancy on MRI scans. Our robotic system may provide a more targeted biopsy of the prostate than conventional non-targeted systemic biopsy, possibly improving the diagnostic accuracy of prostatic biopsies for cancer.
PURPOSE: To evaluate the concordance of cancer location of the tissue mapping from a mechanical pressure transducer with magnetic resonance imaging (MRI) scans. MATERIALS AND METHODS: A total of 60 indentations were performed on 5 prostate specimens obtained after radical prostatectomy utilizing a robotic indentation system. The mechanical elastic moduli of suspected malignant lesions were calculated and mapped, and their locations were compared with suspicious areas of malignancy on MRI scans. RESULTS: The concordance rate between the location mapping from the robotic indentation system and MRI scans results was 90.0% (54/60). The sensitivity and specificity of the robotic indentation system were 87.9% (29/33) and 92.6% (25/27), respectively. The positive predictive value and negative predictive value were 93.5% (29/31) and 93.1% (27/29), respectively. CONCLUSION: The locations of malignant lesions derived from our robotic indentation system correlated strongly with the locations of suspected areas of malignancy on MRI scans. Our robotic system may provide a more targeted biopsy of the prostate than conventional non-targeted systemic biopsy, possibly improving the diagnostic accuracy of prostatic biopsies for cancer.
Authors: Mesut Remzi; Yan Kit Fong; Michael Dobrovits; Theodore Anagnostou; Christian Seitz; Matthias Waldert; Mike Harik; Sybille Marihart; Michael Marberger; Bob Djavan Journal: J Urol Date: 2005-10 Impact factor: 7.450
Authors: Jean-Baptiste Lattouf; Robert L Grubb; S Justin Lee; Marc A Bjurlin; Paul Albert; Anurag K Singh; Iclal Ocak; Peter Choyke; Jonathan A Coleman Journal: BJU Int Date: 2007-05 Impact factor: 5.588
Authors: Lester S Borden; Jonathan L Wright; Jason Kim; Kalyan Latchamsetty; Christopher R Porter Journal: BJU Int Date: 2006-11-28 Impact factor: 5.588
Authors: B Djavan; V Ravery; A Zlotta; P Dobronski; M Dobrovits; M Fakhari; C Seitz; M Susani; A Borkowski; L Boccon-Gibod; C C Schulman; M Marberger Journal: J Urol Date: 2001-11 Impact factor: 7.450
Authors: Dan Stoianovici; Danny Song; Doru Petrisor; Daniel Ursu; Dumitru Mazilu; Michael Muntener; Michael Mutener; Michael Schar; Alexandru Patriciu Journal: Minim Invasive Ther Allied Technol Date: 2007 Impact factor: 2.442
Authors: Murali M Yallapu; Kalpana S Katti; Dinesh R Katti; Sanjay R Mishra; Sheema Khan; Meena Jaggi; Subhash C Chauhan Journal: Med Res Rev Date: 2014-08-18 Impact factor: 12.944