Assessing the Molecular Heterogeneity of Prostate Cancer Biopsy Sampling: Insights from the MAST Trial.

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.

Conceptual framework for the associations between trunk and lower limb muscle parameters and physical performance in community-dwelling older women.

Background: Muscle status plays an important role in the achievement of good physical performance. However, which muscle group and muscle parameters are associated with different physical tasks is not well defined.

Objective: To determine the association between trunk and lower limb muscles and physical performance in community-dwelling older women.

Exploring prostate-specific antigen (PSA) Testing rates and screening disparities in the all of us dataset.

Purpose: To examine prostate cancer (PCa) screening disparities among ethnic groups in the U.S. using the All of Us database.

Unusual Metastasis of Pancreatic Adenocarcinoma Into the Bladder: Two Case Reports and Literature Review.

We described two patients diagnosed with rare bladder metastasis (BM) from pancreatic adenocarcinoma, a prevalent neoplastic disease primarily associated with ductal adenocarcinoma. The overall prognosis for those patients with metastasis is very poor, with a 5-year survival rate of < 3%. The scarcity of cases in the literature makes this series a significant contribution as it presents the first documented instance of BM originating from pancreatobiliary ampullary cancer and a rare case associated with the Krukenberg tumor.

Quantifying the Scope of Artificial Intelligence-Assisted Writing in Orthopaedic Medical Literature: An Analysis of Prevalence and Validation of AI-Detection Software.

Introduction: The popularization of generative artificial intelligence (AI), including Chat Generative Pre-trained Transformer (ChatGPT), has raised concerns for the integrity of academic literature. This study asked the following questions: (1) Has the popularization of publicly available generative AI, such as ChatGPT, increased the prevalence of AI-generated orthopaedic literature? (2) Can AI detectors accurately identify ChatGPT-generated text? (3) Are there associations between article characteristics and the likelihood that it was AI generated?

Methods: PubMed was searched across six major orthopaedic journals to identify articles received for publication after January 1, 2023. Two hundred and forty articles were randomly selected and entered into three popular AI detectors.