AIMC Topic: Prostatic Neoplasms

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Deep learning-based microarray cancer classification and ensemble gene selection approach.

IET systems biology
Malignancies and diseases of various genetic origins can be diagnosed and classified with microarray data. There are many obstacles to overcome due to the large size of the gene and the small number of samples in the microarray. A combination strateg...

Comparison of skeletal segmentation by deep learning-based and atlas-based segmentation in prostate cancer patients.

Annals of nuclear medicine
OBJECTIVE: We aimed to compare the deep learning-based (VSBONE BSI) and atlas-based (BONENAVI) segmentation accuracy that have been developed to measure the bone scan index based on skeletal segmentation.

Challenging cases in high-risk prostate cancer patients treated with Retzius-sparing robot-assisted radical prostatectomy.

World journal of urology
OBJECTIVE: To evaluate the relationship between enlarged prostate, bulky median lobe (BML) or prior benign prostatic hyperplasia (BPH) surgery and perioperative functional, and oncological outcomes in high-risk (HR) prostate cancer (PCa) patients tre...

Robot-Assisted Radical Prostatectomy After Prior Transurethral Resection of Prostate: An Analysis of Perioperative, Functional, Pathologic, and Oncologic Outcomes.

Journal of endourology
We performed a retrospective comparison of surgical, oncologic, and functional outcomes after robot-assisted radical prostatectomy between patients who have undergone prior transurethral resection of prostate (TURP) to TURP-naive patients. Past rob...

The new surgical robotic platform HUGO RAS: System description and docking settings for robot-assisted radical prostatectomy.

Urologia
BACKGROUND: To date, robotic surgery in urology is well established all over the world. The newest platform on the market is the HUGO™ RAS system, developed by Medtronic. In this paper we provide a brief description of the system and describe our sys...

Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer.

Magnetic resonance imaging
PURPOSE: To assess the possibility of reducing the image acquisition time for diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) by denoising with deep learning-based reconstruction (dDLR).

Robotic Radical Prostatectomy for Prostate Cancer in Renal Transplant Recipients: Results from a Multicenter Series.

European urology
BACKGROUND: Despite an expected increase in prostate cancer (PCa) incidence in the renal transplant recipient (RTR) population in the near future, robot-assisted radical prostatectomy (RARP) in these patients has been poorly detailed. It is not well ...

The role of preoperative prostatic shape in the recovery of urinary continence after robotic radical prostatectomy: a single cohort analysis.

Prostate cancer and prostatic diseases
BACKGROUND: To explore the role of preoperative MRI prostate shape in urinary incontinence after robot-assisted radical prostatectomy (RARP).

Multicentric experience in Retzius-sparing robot-assisted radical prostatectomy performed by expert surgeons for high-risk prostate cancer.

Minerva urology and nephrology
BACKGROUND: The study aim was to report the results of Retzius-Sparing robot-assisted radical Prostatectomy (RSP) in high-risk prostate cancer (HR-PCa) patients in a multicentric setting of expert surgeons and to analyze predictors of positive surgic...

Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics.

European radiology experimental
In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of diagnosis and staging, refined surveillance strategies, and introduced specific and personalized radioreceptor therapies. Nuclear medicine, therefore, holds gr...