Better Oncological Outcomes After Prostate-specific Membrane Antigen Positron Emission Tomography-guided Salvage Radiotherapy Following Prostatectomy.

Background And Objective: Up to 50% of patients with prostate cancer experience prostate-specific antigen (PSA) relapse following primary radical prostatectomy (RP). Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) is increasingly being used for staging after RP owing to its high detection rate. Our aim was to compare outcomes for patients who received salvage radiotherapy (sRT) with versus without PSMA PET guidance.

Prostate-specific antigen kinetics after stereotactic body radiotherapy for localized prostate cancer: A scoping review and meta-analysis.

Purpose: Stereotactic body radiotherapy (SBRT) is emerging as a valuable treatment modality for localized prostate cancer, with promising biochemical progression-free survival rates. Longitudinal assessment of prostate-specific antigen (PSA) is the mainstay of follow-up after treatment. PSA kinetics and dynamics are well-established in the context of brachytherapy and conventionally fractionated radiotherapy, yet little is known in the context of prostate SBRT.

A student trained convolutional neural network competing with a commercial AI software and experts in organ at risk segmentation.

This retrospective, multi-centered study aimed to improve high-quality radiation treatment (RT) planning workflows by training and testing a Convolutional Neural Network (CNN) to perform auto segmentations of organs at risk (OAR) for prostate cancer (PCa) patients, specifically the bladder and rectum. The objective of this project was to develop a clinically applicable and robust artificial intelligence (AI) system to assist radiation oncologists in OAR segmentation. The CNN was trained using manual contours in CT-datasets from diagnostic Ga-PSMA-PET/CTs by a student, then validated (n = 30, PET/CTs) and tested (n = 16, planning CTs).

Meeting the Needs of People With Severe Quadriplegia in the 21st Century: The Case for Implanted Brain-Computer Interfaces.

Background: In recent decades, there has been a widespread adoption of digital devices among the non-disabled population. The pervasive integration of digital devices has revolutionized how the majority of the population manages daily activities. Most of us now depend on digital platforms and services to conduct activities across the domains of communication, finance, healthcare, and work.