Other Cancers

Renal Cell Carcinoma Texture Analysis With the KiTS23 Dataset: A Retrospective Study.

BACKGROUND AND AIMS: Computed tomography texture analysis, powered by machine learning techniques, may differentiate clear cell renal cell carcinoma (ccRCC) from other renal tumor subtypes, such as papillary and chromophobe variants, or benign renal masses such as oncocytomas, as demonstrated here using the KiTS23 dataset. METHODS: After excluding multifocal cases to avoid lesion-level labeling am...

Nanotechnology-based immunotherapy: integrating Artificial Intelligence (AI) with current strategies in combating brain cancer disease.

Brain cancer is one of the most challenging malignancies and a major contributor to worldwide morbidity and mortality. Glioblastoma, the most aggressive adult brain tumor, is associated with poor prognosis despite conventional therapies such as surgery, chemotherapy, and radiotherapy, which often result in severe toxicity and long-term side effects. Immunotherapy holds the potential to provide dur...

Prognostic value of body composition analysis in cancer patients treated with immunotherapy: a systematic evaluation of TotalSegmentator-based biomarkers.

PURPOSE: Body composition parameters offer objective, imaging-derived prognostic biomarkers, valuable in the context of oncological diseases. This stu...

Percutaneous thermal ablation for renal cell carcinoma: a comprehensive review of current evidence and future directions.

Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is increasingly used as a surgical alternative for T1a...

Characterization of Collagen Fiber Organization in Breast Cancer via Model-Free Multiscale pSHG Image Analysis.

PURPOSE: Alterations in collagen micro-architecture are hallmarks of tumor progression. Conventional polarization second-harmonic generation (pSHG) an...

Tumor spread through air spaces in non-small-cell lung cancer: 18F-fluorodeoxyglucose PET-based tumoral and peritumoral radiomics analysis with machine learning.

OBJECTIVE: To investigate the utility of tumoral and peritumoral [18F]-fluorodeoxyglucose PET-based radiomics models for predicting tumor spread throu...

Laboratory Medicine in Immune Checkpoint Inhibitor-Induced Autoimmune Disorders: Baseline Assessment, Diagnostic Algorithms, Monitoring, and Predictive Biomarkers.

Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes across multiple malignancies, but they can disrupt self-tolerance an...

Analysis of Pharmacokinetic-Pharmacodynamic Relationships of Nanoparticles against Tumors.

Nanoparticle (NP)-based drug delivery systems hold great promise for cancer treatment. However, designing efficient NP formulations for clinical usage...

MobileSleepNet: A Deployment-Oriented Framework for Sleep Staging on Mobile Devices.

Accurate sleep staging is essential for both clinical diagnosis and long-term sleep monitoring. However, most existing deep learning approaches rely o...

Longitudinal Phenotyping of Circulating Tumor Cells using a Scalable Deep Learning Framework.

PURPOSE: Circulating tumor cells (CTCs) provide a minimally invasive window into metastatic disease and treatment response, but their clinical utility...

Prediction of Side Effects from Breast Radiation Therapy - Integration of Clinical and Genomic Data.

OBJECTIVES: To compare the ability of different machine learning models to predict the risk of side effects in patients with breast cancer undergoing ...

Radiomics Integrated with Deep Learning Based on Contrast-Enhanced MRI for Predicting Short-Term Efficacy of Drug-Eluting Beads Transarterial Chemoembolization in Hepatocellular Carcinoma from Multicenter Retrospective Study.

We aimed to develop and validate a predictive model combining radiomics, deep learning, and clinical features for the preoperative prediction of the s...

Temporal Reference: Automatically Identifiable References to the Future Are Associated with Both Expected and Observed Survival Time in Palliative Care Consultations.

CONTEXT: The rise in routine ambient visit recording enables the scalable study of communication, and identifying clinically important, equitable and ...

SPCC: Inferring Spatial Cell-Cell Interaction by Integrating Single-cell and Spatial Transcriptomics.

Study of single-cell spatial biology reveals the importance of integrating single-cell and spatial data for capturing spatial structure at individual ...

Radiotherapy and immunotherapy in cancer treatment: mechanisms of clinical synergy.

Synergizing radiotherapy (RT) with immune checkpoint inhibitors has emerged as a promising strategy for solid tumors. RT acts as a potent immunomodula...

Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.

PURPOSE: To investigate the clinical performance of a novel deep-learning based image reconstruction algorithm, namely artificial intelligence iterati...

Development and clinical validation of a point-of-care cytology screening tool for oral potentially malignant disorders and oral squamous cell carcinoma using a deep learning convolutional neural network: protocol for a diagnostic accuracy study.

INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...

Multi-Omics Integration Identifies a CDH3-Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors.

Thymic epithelial tumors (TETs) are rare and heterogeneous malignancies whose aggressive epithelial states and microenvironmental organization remain ...

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma.

BACKGROUND: Immunotherapy resistance in lung adenocarcinoma (LUAD) remains a critical clinical challenge, and the mechanisms underlying resistance-ass...

A Dual-Center, Interpretable Deep Learning-Radiomics Fusion Model for Distinguishing Nasopharyngeal Carcinoma from Nasopharyngeal Lymphoma Using FDG PET/CT.

RATIONALE AND OBJECTIVES: Accurate differentiation between Nasopharyngeal Carcinoma (NPC) and Nasopharyngeal Lymphoma (NPL) is critical for clinical m...