Standardization of Prostatic Resection by Virtual Computational Reconstruction and Computational Flow Dynamics

Benign prostatic hyperplasia (BPH) is an enlargement of the prostate gland that develops in men and is a common cause of voiding dysfunction in elderly patients. It is a major public health concern, causing high morbidity and substantial worsening of men's quality of life. (QOL) Transurethral resection of the prostate (TURP) is the standard surgical therapy for obstructive prostatic hypertrophy. Various techniques have been suggested for the systematic removal of the adenomatous tissue, all based on the principle that the resection should be done stepwise as bleeding is the surgeon's major problem, leading to loss of visual field and disorientation, it is imperative that resection and hemostasis should both be completed in one area of the prostatic fossa before the next area is tackled. With the development of new techniques for prostate resection that decreases perioperative morbidity, larger sizes of the prostate are being resected, and a new category of patients is considered eligible for such an intervention with a large prostate size of more than 80 gm. However, current resection techniques are predominantly experience-based and judgment-based, with little evidence to support the most effective portion of the prostate to be resected to give us the best voiding outcome postoperative. So, the investigators plan through this study to construct a flow diagram to evaluate the amount of tissue needed to be resected to improve voiding flow dynamics.