Title :
Towards statistical inferences of successful prostate surgery
Author :
McKenzie, Frederic ; Diaz, Jose ; Schellhammer, Paul ; Hussein, Rania
Author_Institution :
Dept. of Electr. & Comput. Eng., Old Dominion Univ., VA, USA
Abstract :
Prostate cancer continues to be the leading cancer in the United States male population. The options for local therapy have proliferated and include various forms of radiation delivery, cryo-destruction, and novel forms of energy delivery as in high-intensity focused ultrasound. Surgical removal, however, remains the standard procedure for cure. Currently there are little objective parameters that are used to compare the efficiency of each form of surgical removal. As surgeons apply these different surgical approaches, a quality assessment would be most useful, not only with regard to overall comparison of one approach vs. another but also surgeon evaluation of personal surgical performance as they relate to a standard. To this end, we discuss the development of a process employing image reconstruction and analysis techniques to assess the volume and extent of extracapsular soft tissue removed with the prostate. Parameters such as the percent of capsule covered by soft tissue and where present the average depth of soft tissue coverage are assessed. A final goal is to develop software for the purpose of a quality assurance assessment for pathologists and surgeons to evaluate the adequacy/appropriateness of each surgical procedure; laparoscopic versus open perineal or retropubic prostatectomy.
Keywords :
biological tissues; cancer; image reconstruction; medical image processing; surgery; assurance assessment; extracapsular soft tissue; image reconstruction; laparoscopic prostatectomy; pathologists; perineal prostatectomy; personal surgical performance; prostate cancer; quality assessment; retropubic prostatectomy; statistical inferences; successful prostate surgery; surgeon evaluation; surgical removal; Biological tissues; Focusing; Image analysis; Image reconstruction; Medical treatment; Oncological surgery; Prostate cancer; Quality assessment; Software quality; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279809