AI Medical Compendium Topic:
Prostatic Neoplasms

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Contemporary Rates and Predictors of Open Conversion During Minimally Invasive Radical Prostatectomy for Nonmetastatic Prostate Cancer.

Journal of endourology
To test contemporary rates and predictors of open conversion at minimally invasive (laparoscopic or robotic) radical prostatectomy (MIRP). Within the National Inpatient Sample database (2008-2015), we identified all MIRP patients and patients who u...

Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

International journal of medical informatics
UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.

Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

Medical physics
PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and brachytherapy, have incorporated three-dimensional (3D) transrectal ultrasound (TRUS) imaging to improve needle guidance. Using these images effectively ...

DeepDose: Towards a fast dose calculation engine for radiation therapy using deep learning.

Physics in medicine and biology
We present DeepDose, a deep learning framework for fast dose calculations in radiation therapy. Given a patient anatomy and linear-accelerator IMRT multi-leaf-collimator shape or segment, a novel set of physics-based inputs is calculated that encode ...

A convolution neural network for higher resolution dose prediction in prostate volumetric modulated arc therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: This study aims to investigate the feasibility of using convolutional neural networks to predict an accurate and high resolution dose distribution from an approximated and low resolution input dose.

Robot-Assisted Radical Prostatectomy Associated with Decreased Persistent Postoperative Opioid Use.

Journal of endourology
Minimally invasive surgery offers reduced pain and opioid use postoperatively compared with open surgery, but large-scale comparative studies are lacking. We assessed the incidence of persistent opioid use after open and robot-assisted radical prost...

Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?

Journal of endourology
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radical prostatectomy (RARP) in well-selected patients; however, the patient perspective of this practice has not been well explored. In this study, we exp...

Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula.

AJR. American journal of roentgenology
The purposes of this study were to assess the performance of a 3D convolutional neural network (CNN) for automatic segmentation of prostates on MR images and to compare the volume estimates from the 3D CNN with those of the ellipsoid formula. The s...

Optimizing the Financial Burden of the Approach to Robot-Assisted Radical Prostatectomy.

Journal of endourology
The robot-assisted approach to radical prostatectomy (RARP) has been adopted worldwide as an acceptable alternative to open prostatectomy owing to improved visualization and dexterity for surgeons, with improved recovery and convalescence for patien...