Mapping the knowledge landscape of the PET/MR domain: a multidimensional bibliometric analysis.

Objective: This study aims to conduct a bibliometric analysis to explore research trends, collaboration patterns, and emerging themes in the PET/MR field based on published literature from 2010 to 2024.

Methods: A detailed literature search was performed using the Web of Science Core Collection (WoSCC) database with keywords related to PET/MR. A total of 4,349 publications were retrieved and analyzed using various bibliometric tools, including VOSviewer and CiteSpace.

Development and Validation of an AI-Based Multimodal Model for Pathological Staging of Gastric Cancer Using CT and Endoscopic Images.

Rationale And Objectives: Accurate preoperative pathological staging of gastric cancer is crucial for optimal treatment selection and improved patient outcomes. Traditional imaging methods such as CT and endoscopy have limitations in staging accuracy.

Methods: This retrospective study included 691 gastric cancer patients treated from March 2017 to March 2024.

Spatiotemporal variation and transport of Cs in the Beibu Gulf.

The temporal variation and transport of Cs in the Beibu Gulf (BG) are still poorly understood. Here we measured Cs concentrations in the BG water column and surface sediments during 2022. We found that Cs in the BG water column was controlled by the movement and mixing of local water masses.

DNA methylation-based age estimation from semen: Genome-wide marker identification and model development.

DNA methylation at age-related CpG (AR-CpG) sites holds significant promise for forensic age estimation. However, somatic models perform poorly in semen due to unique methylation dynamics during spermatogenesis, and current studies are constrained by the limited coverage of methylation microarrays. This study aimed to identify novel semen-specific AR-CpG sites using double-enzyme reduced representation bisulfite sequencing (dRRBS) and validate these markers, alongside previously reported sites and neighboring CpGs, using bisulfite amplicon sequencing (BSAS) to develop robust age estimation models.