OBJECTIVE: To investigate whether machine learning-based analysis of MR radiomics can help improve the performance PI-RADS v2 in clinically relevant prostate cancer (PCa).
Minerva urologica e nefrologica = The Italian journal of urology and nephrology
Mar 30, 2017
BACKGROUND: To analyze the correlation of surgical margin status with other findings on final pathology and risk of biochemical recurrence (BCR) in patients undergoing robot-assisted radical prostatectomy (RALP).
Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Mar 18, 2017
Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was deve...
BACKGROUND: Robot-assisted radical prostatectomy (RARP) has now become a gold standard approach in radical prostatectomy. The aim of this study was to investigate incidence and risk factors of inguinal hernia (IH) after RARP.
Australasian physical & engineering sciences in medicine
Mar 13, 2017
A classifier-based expert system was developed to compare delivered and planned radiation therapy in prostate cancer patients. Its aim is to automatically identify patients that can benefit from an adaptive treatment strategy. The study predominantly...
Minerva urologica e nefrologica = The Italian journal of urology and nephrology
Mar 10, 2017
BACKGROUND: To assess oncologic and surgical outcomes in patients subjected to standard (S) versus extended (E) pelvic lymph node dissection (PLND) during robot-assisted radical prostatectomy (RARP).
INTRODUCTION: The bone scan index (BSI) was introduced as a quantitative tool for tumor involvement in bone of patients with metastatic prostate cancer (mPCa). The computer-aided diagnosis device for BSI analysis EXINIbone seems to represent technica...
The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide associ...
Australasian physical & engineering sciences in medicine
Jan 24, 2017
The performance of a support vector machine (SVM) algorithm was investigated to predict prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to obtain information of prostate tumour location for the implementation of bio-...
International journal of radiation oncology, biology, physics
Dec 28, 2016
PURPOSE: To compare the diagnostic performance of F-fluorocholine positron emission tomography/computed tomography (FCH-PET/CT), multiparametric prostate magnetic resonance imaging (mpMRI), and a combination of both techniques for the detection of lo...