Other Cancers

Cutaneous lymphomas - an update.

Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-cell neoplasms defined by integrated clinical, histopathological, immunophenotypic and genetic criteria. The 5th edition of the WHO classifications of haematolymphoid and skin tumours and the International Consensus Classification incorporate recent clinicopathological and molecular advances. Former...

Machine Learning Prediction of Local Failure in GI Brain Metastases on the Day of Gamma Knife Radiosurgery.

BACKGROUND: Time to local failure after stereotactic radiosurgery (SRS), including Gamma Knife radiosurgery (GKRS), for gastrointestinal (GI) brain metastases is difficult to predict and may vary substantially across tumors and patients. We developed and internally evaluated a survival machine learning framework to estimate tumor-specific time to local failure using pre-SRS features. METHODS: We p...

LD-CNN19: A Deep Learning Model Integrating Logical Reasoning and Knowledge Expansion for Small-Sample Sleep Staging Tasks.

To address opaque decision-making and performance bottlenecks caused by limited samples and physiological heterogeneity in deep learning-based sleep s...

AI-based segmentation of occult cervical lymph node metastases: potential reduction of cytokeratin staining.

BACKGROUND: Detection of occult cervical lymph node metastases is critical for accurate staging and treatment planning in oral cavity squamous cell ca...

RIBOTAC-mediated degradation of hsa-microRNA-301a-3p suppresses TNBC bone metastasis.

Triple-negative breast cancer (TNBC) is an aggressive subtype with a high propensity for bone metastasis and limited treatment options. Although many ...

Accurate differentiation of metastatic and ultrasound-atypical reactive hyperplastic lymph nodes using a fusion model integrating ultrasound radiomics and habitatomics: A multicenter study.

BACKGROUND: The significant sonographic overlap between metastatic and ultrasound-atypical reactive hyperplastic lymph nodes remains a challenge in su...

Deep Learning Versus LASSO-Based Machine Learning for 1-Year Survival After Surgery for Spinal Metastases: A JASA Multicenter Prospective Cohort Analysis.

STUDY DESIGN: Multicenter prospective cohort study; secondary analysis. OBJECTIVE: To evaluate predictors associated with 1-year survival after surger...

Detection of oral potentially malignant disorders and oral cancer with white light through deep learning: a systematic review and meta-analysis.

OBJECTIVES: The research question was: How accurate is artificial intelligence (AI) in diagnosing Oral Potentially Malignant Disorders (OPMD)/oral can...

Therapeutic hybrid intelligence with neural and knowledge-based expert reasoning for SRS (THINKERS): an AI model for lung cancer brain metastases.

BACKGROUND: Prescription dose selection for lung brain metastases treated with stereotactic radiosurgery (SRS) remains largely guided by generalized p...

Association between body composition and recurrence in stage II-III colon cancer: a retrospective cohort study.

INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine management. Patients with advance...

Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool optimized for longitudinal treatment response assessm...

Intratumoral Heterogeneity-aware Imaging Biomarkers for Bone Metastasis Risk Stratification in Breast Cancer.

RATIONALE AND OBJECTIVES: Breast cancer carries a substantial long-term risk of bone metastasis, which marks progression to incurable disease and seve...

Attention-Guided TransMorph for Real-Time Tumor Tracking in Cine-MRI.

Magnetic Resonance Imaging (MRI) is a key modality in cancer treatment, providing high soft tissue contrast for the visualization of tumors and intern...

Deep Learning-Based Classification of NIFTP and Invasive Encapsulated Follicular Variant of Papillary Thyroid Carcinoma Using Gross Pathology Images.

Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and invasive encapsulated follicular variant of papillary thyroi...

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features.

This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by inte...

Deep learning differentiates myeloproliferative neoplasms and predicts JAK2 and CALR mutations from bone marrow smears.

Accurate differentiation of BCR::ABL1-negative myeloproliferative neoplasms (MPNs) based on bone marrow smear morphology remains challenging. While pr...

[Multi-modal tumor boundary clustering recognition based on artificial intelligence virtual cells and near-infrared surgical field].

In order to accurately identify tumor boundaries and improve diagnostic efficiency, this study proposes a multi-modal tumor boundary identification me...

Integrated Multi-Omics Analysis of Gut Microbiota-Associated Metabolites and Related Host Molecular Signatures in Cervical Squamous Cell Carcinoma.

Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is a common female malignancy. Gut microbiota and metabolites are critical reg...

Epigenetic markers expand genetic risk estimation in acute myeloid leukemia.

Gene mutations and chromosome abnormalities are important components of prognostication in acute myeloid leukemia (AML). Here we assessed whether DNA ...

Survival Prediction for Clear Cell Renal Cell Carcinoma Based on Deep Multimodal Synergistic Survival Network.

OBJECTIVE: To propose a deep multimodal synergistic survival analysis framework (Deep Multimodal Synergistic Survival Network, DMSSN) to achieve accur...