Other Cancers

DNA methylation biomarkers associated with early gastric cardia carcinogenesis.

Gastric cardia cancer (GCC) is an aggressive malignancy with poor prognosis, underscoring the need for better characterization of molecular alterations during early gastric cardia carcinogenesis. This study aimed to identify and validate tissue-based DNA methylation markers associated with early precancerous and neoplastic lesions of the gastric cardia. We integrated genome-wide DNA methylation da...

A workflow utilizing general-purpose large language models for efficient structuring and data mining of bone scintigraphy narratives.

Whole-body bone scintigraphy is pivotal for skeletal evaluation in oncological monitoring, yet the unstructured nature of clinical reports impedes efficient data management and multicenter integration. This study aims to validate whether a clinical-logic-guided prompting framework can effectively constrain general-purpose large language models (LLMs) to achieve reliable structured information extr...

Evaluating the diagnostic performance of multimodal large language models in thyroid cytology.

Thyroid fine-needle aspiration (FNA) cytology is a widely used, cost-effective method for evaluating thyroid nodules. However, interpretation of thyro...

Multi-task deep learning assists detection and diagnosis of gliomas and brain metastases.

Gliomas and brain metastases (BMs) on MRI pose significant diagnostic challenges for radiologists. This study aims to develop a multi-task model and a...

Machine learning-based integrative analysis identifies CXCL13-driven tertiary lymphoid structures as favorable immune and prognostic features in osteosarcoma.

BACKGROUND: Osteosarcoma, an aggressive bone malignancy with limited response to immunotherapy, remains a major clinical challenge. Tertiary lymphoid ...

cGAS-STING pathway regulated by spatiotemporal heterogeneity of tumor microenvironment and precision therapy strategies in lung cancer.

The cGAS-STING pathway is a central regulator of innate immunity and exhibits a complex dual function in lung cancer: it can activate anti-tumor immun...

Prognostic Significance and Therapeutic Implications of Migrasome-related genes in Sorafenib Treatment for Primary Liver Cancer.

PURPOSE: This study aimed to reveal the mechanism and prognostic significance of migrasome-related genes (MGs) in primary liver cancer (PLC) treated w...

MedNext-Insight Model for Automated Metabolic Tumor Volume Delineation on Computed Tomography and Prognostic Value in Nasopharyngeal Carcinoma.

PURPOSES: To develop a deep learning model for automated metabolic tumor volume (MTV) delineation on routine computed tomography (CT) without positron...

CardioRadNet: Cardiac mass diagnosis through integrated segmentation and radiomic analysis.

BACKGROUND AND OBJECTIVE: Cardiac masses (CMs), though rare, include a wide spectrum of benign and malignant lesions that require distinct therapeutic...

The retinol metabolizing enzyme DHRS3 coordinates antigen presentation, endothelial stability, and cholesterol metabolism to suppress hepatocellular carcinoma progression.

Hepatocellular carcinoma (HCC) remains a therapeutic challenge due to tumor microenvironment heterogeneity and metabolic reprogramming. DHRS3, a retin...

Cross-Platform Comparative Spatial Transcriptomics in High-Grade Serous Carcinoma.

PURPOSE: High-grade serous carcinoma (HGSC) is a remarkably heterogeneous tumor. The purpose of this study was to directly compare the reproducibility...

Single-cell and spatial analyses identify a glycolysis-high state driven by STOML2 in epithelial ovarian cancer.

OBJECTIVE: Metabolic heterogeneity contributes to therapeutic resistance and poor prognosis in epithelial ovarian cancer (EOC), yet the regulatory dri...

Remission, Relapse, and Thyroid-Related Parameters Measurement at Discontinuation of Low-Dose Anti-Thyroid Drugs in Graves' Disease.

BACKGROUND: This study aimed to elucidate the relationship between thyroid-related parameters and the prognosis of Graves' disease (GD). METHODS: This...

Advancing equity in endometrial cancer: A narrative synthesis using a cluster-informed framework for resource-stratified implementation.

Endometrial cancer incidence and mortality are rising globally, disproportionately affecting health systems facing diagnostic, therapeutic, and surviv...

Medical pre-training and fine-tuning improve large-language-model prediction of rheumatoid-arthritis disease activity.

OBJECTIVE: To evaluate whether medical-domain pre-training and parameter-efficient fine-tuning improve the ability of locally deployable large languag...

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic ef...

Machine Learning Integration of Ultrasound Habitat Radiomics for Predicting Axillary Metastasis in Clinically Node-negative Triple-negative Breast Cancer.

OBJECTIVE: To develop and validate habitat radiomics as a biomarker for predicting axillary lymph node metastasis (ALNM) in clinically node-negative (...

Artificial intelligence with deep learning driven entropy-curvature attention mechanism for detection and segmentation of skin lesions using biomedical images.

In medical image analysis, skin lesion diagnosis remains a complicated task. Skin lesions are a prevalent form of skin disease that exists globally. A...

NucVerse3D: generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities.

Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phenotyping in volumetric microscopy, yet remains cha...

Artificial intelligence iterative imaging reconstruction with low-dose CT scans for hepatic metastases.

Contrast-enhanced CT is commonly used in the evaluation of hepatic metastatic lesions. This prospective study aimed to assess the capability of artifi...