Xin Geng | PubMed Health

PubMed2026

An AI-assisted Clinical Decision Support System for Green Classification of Cystocele on Dynamic Transperineal Ultrasound.

Green classification of cystocele on dynamic transperineal ultrasound (TPUS) remains operator-dependent because it requires manual frame selection and landmark-based assessment of the Valsalva maneuver. We developed a workflow-oriented AI-assisted clinical decision support system for automated urethrovesical junction localization and dynamic Green classification and prospectively evaluated its standalone and reader-support performance. This diagnostic accuracy and reader study included 881 patients from a tertiary referral hospital, comprising a retrospective development cohort (n = 688) and an independent prospective test cohort (n = 193). A nested subset of 67 prospective patients was used for a reader study involving two junior and two intermediate radiologists under unaided and AI-assisted conditions. In the complete prospective test cohort, Green-AttGRU achieved a macro-averaged AUC of 0.939 (95% CI, 0.897-0.971) and an overall accuracy of 0.902 (95% CI, 0.860-0.943). In the reader study, overall accuracy increased from 0.761 to 0.821 without AI to 0.851-0.881 with AI, while macro-F1 increased from 0.660 to 0.777 to 0.820-0.860. Overall inter-reader agreement increased from a Fleiss' κ of 0.453 to 0.786, and pooled median interpretation time decreased from 26.7 s to 9.9 s. These findings support the preliminary feasibility of the system as a workflow-oriented decision-support tool for dynamic TPUS interpretation.

Humans↗

PubMed2026

SLC25A45 as a prognostic biomarker promotes malignant progression via mutant p53 in hepatocellular carcinoma.

BACKGROUND: SLC25A45 belongs to the mitochondrial trimethyllysine carrier protein family. To date, its role in tumor development has not been fully elucidated. Previous studies have demonstrated its pro-tumor function in ovarian cancer; however, research on the expression characteristics, biological roles and underlying regulatory pathways of SLC25A45 in hepatocellular carcinoma (HCC) is limited. This study aims to explore the expression, functional roles, and regulatory pathways of SLC25A45 in HCC. METHODS: This study examined SLC25A45 expression and clinical relevance in HCC using publicly available transcriptomic data. SLC25A45 knockdown cell lines were constructed using PLC/PRF/5, Huh7, and Huh1 cells. Functional assays, including cell proliferation and colony formation assays, were then conducted. To investigate the effects of SLC25A45 knockdown on the malignant phenotypes of HCC cells in vitro, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) analyses were performed to identify potential underlying mechanisms, which were subsequently validated by experimental assays. RESULTS: SLC25A45 was elevated in clinical HCC specimens, and high SLC25A45 expression was correlated with disease progression and poor overall survival (OS). In vitro functional assays demonstrated that SLC25A45 silencing reduced HCC cell proliferation and colony formation. Mechanistically, GSEA indicated that high SLC25A45 expression was significantly enriched in the p53 signaling pathways. SLC25A45 knockdown in HCC cells led to a significant increase in wild-type p53 protein expression, but a substantial decrease in mutant p53 expression. CONCLUSIONS: SLC25A45 is a potential prognostic indicator and may drive HCC tumorigenesis and progression through the differential modulation of the p53 signaling pathways.

SLC25A45↗