Objectives: This study aims to evaluate a deep learning pipeline for detecting clinically significant prostate cancer (csPCa), defined as Gleason Grade Group (GGG) ≥ 2, using biparametric MRI (bpMRI) and compare its performance with radiological reading.
Materials And Methods: The training dataset included 4381 bpMRI cases (3800 positive and 581 negative) across three continents, with 80% annotated using PI-RADS and 20% with Gleason Scores. The testing set comprised 328 cases from the PROSTATEx dataset, including 34% positive (GGG ≥ 2) and 66% negative cases.
Introduction: Accessory breast tissue is a rare condition occurring in 1-3 % of males, primarily in the bilateral axillary region. Kajava Class I accessory breast, characterized by glandular tissue, an areola, and a nipple, is rarely reported. This case report highlights the clinical presentation, diagnostic approach, and management of this rare entity in an elderly male.
View Article and Find Full Text PDFIntroduction: This study aimed to i) identify the care needs of families experiencing cardiac arrest; and ii) co-identify strategies for meeting the identified care needs. Cardiac arrest survivors and family members (of survivors and non-survivors) were engaged as "experience experts," collaborators and co-researchers in this study.
Methods: A qualitative study using semi-structured interviews of cardiac arrest survivors and family members was conducted.