BPH/LUTS

3D MR Fingerprinting for Quantitative Bladder Wall T1, T2, and M0 Mapping in Healthy Subjects at 1.5 T and 3 T.

Current diagnostic tests for lower urinary tract symptoms (LUTS) do not assess tissue-level alterations in the bladder wall. This study assesses the feasibility of 3D magnetic resonance fingerprinting (MRF) for simultaneous T1, T2, and proton density (M0) mapping of the bladder wall in healthy subjects at 1.5 T and 3 T. A 3D MRF acquisition was combined with a deep image prior reconstruction to ac...

Accurate and noninvasive prostate cancer detection using plasma-derived extracellular vesicle RNA.

Prostate cancer (PCa) is the most commonly diagnosed noncutaneous malignancy in men and a leading cause of cancer-related death worldwide. Its clinical heterogeneity, ranging from indolent to aggressive disease, presents major diagnostic and therapeutic challenges. However, prostate-specific antigen (PSA), the current standard biomarker, lacks sufficient sensitivity and specificity, resulting in b...

Frailty burden and symptomatic BPH/LUTS in aging men: evidence from two nationally representative population-based studies.

BACKGROUND: The frailty index (FI) is a well-established marker of biological aging and a widely validated predictor of adverse health outcomes in old...

Prostatic artery embolization and imaging-based biomarkers: current tools in monitoring treatment response and emerging strategies.

Prostatic artery embolization (PAE) is a safe and effective minimally invasive treatment for lower urinary tract symptoms (LUTS) attributed to benign ...

A machine learning algorithm to explore the impact of agricultural land-use types on CO2 emissions in Vietnam in the period 1990-2019.

The paper deals with an application of machine learning algorithms to examine the impact of agricultural land-use types on CO₂ emissions in Vietnam du...

Development and interpretability of a machine learning-derived model for the identification of latent prostate cancer in patients initially diagnosed with benign prostatic hyperplasia: a retrospective cohort study.

BACKGROUND: Prostate cancer (PCa) is characterized by pronounced intratumoral heterogeneity and multifocality, presenting ongoing challenges for early...

Development and validation of a noninvasive machine learning model using urinary extracellular vesicle physical parameters for prostate cancer diagnosis.

Urinary extracellular vesicles (uEVs) are promising biomarkers for prostate cancer (PCa). Although novel uEV-based biomarkers have advanced early diag...

Integrating single-cell and bulk transcriptomic analyses to explore key lactylation-related genes in benign prostatic hyperplasia.

Benign prostatic hyperplasia (BPH) is a prevalent age-related disorder characterized by chronic inflammation, metabolic dysregulation, and abnormal ce...

Detection of benign prostatic hyperplasia using RGB prostate images and deep learning.

This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep learning-based analysis of RGB prostate histopathologi...

Rapid Noninvasive Classification of Prostatic Disease Using Paper Spray Ionization Mass Spectrometry (PSI-MS)-Based Nontargeted Metabolomics.

Paper spray ionization mass spectrometry (PSI-MS)-based nontargeted metabolomics was employed to rapidly classify prostate health conditions using uri...

Circulating Neutrophils Exhibit an Altered Immune Response in Chronic LUTS: An Image-Based Deep Learning Analysis.

INTRODUCTION AND HYPOTHESIS: Chronic lower urinary tract symptoms (LUTS) are characterised by persistent symptoms and elevated urinary leukocyte count...

The relationship between mental health disorders and LUTS.

This narrative review explores the complex relationship between lower urinary tract symptoms (LUTS) and mental health disorders, focusing on the influ...

Identification of biomarkers for non-invasive diagnosis and risk stratification in prostate cancer using NMR-based metabolomics and machine learning.

The non-invasive diagnosis and risk stratification of prostate cancer (PCa) remain clinically challenging due to the limited specificity of prostate-s...

Oxidative stress reprograms benign prostatic hyperplasia microenvironments: insights from integrative multi-omics and machine learning.

BACKGROUND: Oxidative stress (OS) is increasingly implicated in benign prostatic hyperplasia (BPH), yet the underlying cellular programs remain unclea...

Estimation of IPSS and OABSS scores using ChatGPT-4o: a comparative validation study in Korea.

PURPOSE: To evaluate the performance of ChatGPT-4o in estimating International Prostate Symptom Score (IPSS) and Overactive Bladder Symptom Score (OAB...

Utility of the PROSTest, a Novel Blood-Based Molecular Assay, Versus PSA for Prostate Cancer Stratification and Detection of Disease.

BACKGROUND: Prostate cancer (PCa) is the most common solid organ cancer in men and the fifth leading cause of cancer-related deaths globally. PSA help...

Development and validation of a natural language processing system to assess quality of physician communication in prostate cancer consultations.

BACKGROUND: AUA guidelines for shared decision making (SDM) in prostate cancer recommend discussion of five content areas in consultations: (1) cancer...

Machine learning models to predict postoperative incontinence after endoscopic enucleation of the prostate for benign prostatic hyperplasia: An EAU-Endourology study.

BACKGROUND: Machine learning (ML) and artificial intelligence (AI) have demonstrated powerful functionality in the healthcare setting thus far. We aim...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BOO) remains a challenge in urology due to the limit...

Self-organizing maps to aid prognostic and diagnostic biomarker identification in exploratory metabolomics of benign prostatic hyperplasia.

INTRODUCTION: Population aging is increasing rapidly, representing a global trend that has launched many discussions regarding older adult's quality o...