Publications by authors named "P Castillo"

Diabetes mellitus (DM) increases the risk of aortic stenosis (AS) and worsens its pathophysiology in a sex-specific manner. Aldosterone/mineralocorticoid receptor (Aldo/MR) pathway participates in early stages of AS and in other diabetic-related cardiovascular complications. We aim to identify new sex-specific Aldo/MR targets in AS complicated with DM.

View Article and Find Full Text PDF

Local protein synthesis (LPS) in axons is now recognized as a physiological process, participating both in the maintenance of axonal function and diverse plastic phenomena. In the last decades of the 20th century, the existence and function of axonal LPS were topics of significant debate. Very early, axonal LPS was thought not to occur at all and was later accepted to play roles only during development or in response to specific conditions.

View Article and Find Full Text PDF

Rationale And Objectives: Active surveillance (AS) is the preferred management strategy for low-risk prostate cancer. This study aimed to evaluate the impact of Habitat Risk Score (HRS), an automated approach for mpMRI analysis, for early detection of progressors in a prospective AS clinical trial (MAST NCT02242773).

Materials And Methods: The MAST protocol includes Confirmatory mpMRI ultrasound fusion (MRI-US) biopsy and yearly surveillance MRI-US biopsies for up to 3 years.

View Article and Find Full Text PDF

Given the rapidly expanding capabilities of generative AI models for radiology, there is a need for robust metrics that can accurately measure the quality of AI-generated radiology reports across diverse hospitals. We develop ReXamine-Global, a LLM-powered, multi-site framework that tests metrics across different writing styles and patient populations, exposing gaps in their generalization. First, our method tests whether a metric is undesirably sensitive to reporting style, providing different scores depending on whether AI-generated reports are stylistically similar to ground-truth reports or not.

View Article and Find Full Text PDF

Background And Objective: Prostate cancer (PC) heterogeneity can result in sampling discrepancies during biopsy, leading to inaccurate molecular classifications that affect treatment decisions. We evaluated transcriptomic profile variability between multiparametric magnetic resonance imaging (mpMRI)-targeted biopsy (TBx) and systematic biopsy (SBx) methods using the Decipher GRID platform.

Methods: The study included 205 men from the MAST trial.

View Article and Find Full Text PDF