Effect of prostate and bony pelvic dimensions measured by preoperative magnetic resonance imaging on robot-assisted radical prostatectomy.

Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RARP). In this study, we examined the effects of body mass index, bone pelvis measurements and prostate measurements on console time (CT), decrease in postoperative hemogram level (DHL) and surgical margin(SM) in patients who underwent RARP for clinically localized prostate cancer in our institution. The data of transperitoneal RARP cases performed by a single surgeon between November 2016 and August 2020 were analyzed retrospectively.

Preoperative Inflammation Markers and De Ritis Ratio in Predicting Clinical Presentation and Prognosis of Patients with Testicular Germ Cell Tumors.

Objective: To evaluate the importance of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-monocyte ratio (NMR) and De Ritis ratio (DRR) in predicting clinical presentation and prognosis of patients with testicular germ cell tumors (TGCTs).

Study Design: Observational study.

Place And Duration Of Study: Antalya Training and Research Hospital Antalya, Turkey, from January 2009 to March 2020.

Effects of Listening to Binaural Beats on Anxiety Levels and Pain Scores in Male Patients Undergoing Cystoscopy and Ureteral Stent Removal: A Randomized Placebo-Controlled Trial.

To investigate the effects of pure binaural beats on anxiety and pain scores in male patients undergoing diagnostic cystoscopy (DC) and ureteral stent removal (USR) under local anesthesia. This was a prospective, randomized placebo-controlled study. Patients in the DC group (DCG) and USR group (USRG) were divided into three subgroups according to interventions applied; DCG-1 and USRG-1, patients listened to binaural beats; DCG-2 and USRG-2, patients listened to classical music; and DCG-3 and USRG-3, patients wore headphones, but were not exposed to audio (control group).

Sampling strategy for the sparse recovery of infrared images.

The compressive sensing (CS) framework states that a signal that has a sparse representation in a known basis may be reconstructed from samples obtained at a sub-Nyquist sampling rate. The Fourier domain is widely used in CS applications due to its inherent properties. Sparse signal recovery applications using a small number of Fourier transform coefficients have made solutions to large-scale data recovery problems, including image recovery problems, more practical.