Details

Autor(en) / Beteiligte

• Huang, Shengsong
• Qin, Yu
• Chen, Yingna
• Pan, Jing
• Xu, Chengdang
• Wu, Denglong
• Chao, Wan‐Yu
• Wei, John T.
• Tomlins, Scott A.
• Wang, Xueding
• Fowlkes, J. Brian
• Carson, Paul L.
• Cheng, Qian
• Xu, Guan

Titel

Interstitial assessment of aggressive prostate cancer by physio‐chemical photoacoustics: An ex vivo study with intact human prostates

Ist Teil von

• Medical physics (Lancaster), 2018-09, Vol.45 (9), p.4125-4132

Ort / Verlag

United States

Erscheinungsjahr

2018

Quelle

Wiley

Beschreibungen/Notizen

• Purpose Transrectal ultrasound (TRUS)‐guided biopsy is the standard procedure for evaluating the presence and aggressiveness of prostate cancer. TRUS biopsy involves tissue removal, and suffers from low core yield as well as high false negative rate. A less invasive and more accurate diagnostic procedure for prostate cancer is therefore highly desired. Combining the optical sensitivity and ultrasonic resolution to resolve the spatial distribution of the major molecular components in tissue, photoacoustic (PA) technology could be an alternative approach for the diagnosis of prostate cancer. The purpose of this study was to examine the feasibility of identifying aggressive prostate cancer using interstitial PA measurements. Methods Seventeen patients with prebiopsy magnetic resonance imaging (MRI), TRUS biopsies, and planned prostatectomies were enrolled in this study. The interstitial PA measurements were achieved using our recently developed needle PA probe, which was inserted into the ex vivo prostates in the fashion of a biopsy needle. A total of 70 interstitial PA measurements were acquired. The PA measurements were quantified by a previously established PA physio‐chemical analysis (PAPCA) method. The histology has confirmed the nonaggressive and aggressive cancerous conditions at the insertion locations. The diagnostic accuracy was also compared to that provided by the prebiopsy MRI. Results The quantitative study shows significant differences between the individual parameters of the nonaggressive and the aggressive cancerous regions (P < 0.005). Multivariate analysis of the quantitative features achieved a diagnostic accuracy of 78.6% for differentiating nonaggressive and aggressive prostate cancer tissues. Conclusions The proposed procedure has shown promises in the diagnosis of aggressive prostate cancer.