Breast Cancer

RadiolGAN: Multicenter Feasibility Study of Synthetic CT From 3D Ultra-Short Echo Time MRI for Enhanced Pulmonary Radiologic Sign Visualization.

BACKGROUND: Chest CT requires breath-holding and ionizing radiation. 3D ultrashort echo time (UTE) MRI allows radiation-free imaging, but the image quality is suboptimal. PURPOSE: To develop RadiolGAN and evaluate synthetic CT (sCT) from 3D UTE MRI for enhanced pulmonary visualization. STUDY TYPE: Prospective multicenter study. POPULATION: Three hundred and fifty-nine subjects (167 women, 192 men;...

Antibody-drug conjugates in selected solid tumours: a position statement update based on findings from the third workshop held by the ETOP IBCSG Partners Foundation.

The European Thoracic Oncology Platform (ETOP) International Breast Cancer Study Group (IBCSG) Partners Foundation initiated a series of workshops for experts to review current evidence and offer recommendations to guide future antibody-drug conjugate (ADC) research. Here, we summarise key findings from the third workshop, which included experts in various solid tumours, basic/translational resear...

Center-specific Federated Learning for Radiation Pneumonitis:A Cross-Center Adaptive Alternating Framework.

BACKGROUND AND PURPOSE: Accurate prediction of symptomatic radiation pneumonitis (RP) is critical for radiotherapy, yet the generalization of deep lea...

Role of MRI-based synthetic CT and low-dose CT for the assessment of structural damage in axial spondyloarthritis - a review.

Structural lesions, including erosions, sclerosis, and pathological new bone formation, are key features of disease progression in axial spondyloarthr...

AI-Based Analysis of Tumor-Infiltrating Lymphocytes and Homologous Recombination in Ovarian Cancer: JGOG3025-A1 Study.

Understanding the tumor immune microenvironment, especially tumor-infiltrating lymphocytes (TILs), remains crucial in ovarian cancer. However, the dis...

AI-Optimized 3D-Printed Dual-Layer Implant: Resolving Chemo-Immunotherapy Sequential Administration Dilemma for Colorectal Cancer Peritoneal Metastasis.

The synergistic integration of chemotherapy and immunotherapy represents the most promising strategy for enhancing therapeutic efficacy in cancer trea...

Therapeutic Hybrid Intelligence with Neural and Knowledge-based Expert Reasoning for SRS (THINKERS): an AI model for GBM.

BACKGROUND: Prescription dose selection for recurrent glioblastoma treated with Gamma Knife radiosurgery remains highly individualized and is largely ...

Time-dependent radiological risk assessment following a severe NPP accident using Monte Carlo simulation, BEIR VII, and interpretable AI.

Nuclear reactor accidents can result in prolonged radiation exposure with complex and uncertain health consequences. Existing studies often focus on d...

DFCE-KanT: Predicting Spatial Gene Expression from Histology Images via Contrastive Learning.

MOTIVATION: Spatial transcriptomics (ST) can quantitatively characterize the spatial molecular profile in tissues and yet is costly to be applied at a...

Unveiling the identification of the genetic features and biological characteristics shared between cervical cancer and venous thromboembolism.

OBJECTIVE: The association between cervical cancer (CC) and venous thromboembolism (VTE) has been well documented, but the underlying molecular charac...

Efficient Diagnosis of Spatiotemporal Evolution and Driving Factors of Surface Ozone Pollution Episodes: An Application in Jiangsu Province, China.

Severe ozone (O3) pollution is a major challenge for air quality improvement in China, primarily due to its spatiotemporal heterogeneity and nonlinear...

Macrophage-Induced Senescent Cancer-Associated Fibroblasts Promote SASP-Mediated Chemoresistance in Colorectal Cancer.

Cancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment (TME) by influencing tumor progression, metastasis, and therapy...

MRI-based gross tumor volume delineation in high-grade glioma using a deep convolutional neural network.

OBJECTIVE: In brain radiotherapy, accurate target volume delineation is a key step in treatment planning. However, manual contour delineation can be t...

SpiderMass ambient mass spectrometry and multimodal machine learning enable ex vivo ovarian cancer typing and exploratory immunoscoring.

Complete cytoreductive surgery remains one of the strongest determinants of outcome in ovarian cancer, yet surgeons still lack rapid tissue-assessment...

Radiolysis in drug discovery: molecular modification, repurposing, and mechanistic insights.

INTRODUCTION: In drug discovery, exploring novel chemical space and elucidating precise molecular mechanisms are essential for successful lead identif...

Minimally invasive circulating MicroRNA signatures for breast cancer detection and neoadjuvant therapy response prediction in a multicenter MENA cohort.

BACKGROUND: Early detection and treatment stratification of breast cancer remain major clinical challenges, particularly in the Middle East and North ...

Development and Validation of an Interpretable Model Integrating Radiomics and Clinical Data for Predicting 70-gene Signature Risk in Breast Cancer: A Multicenter Study.

RATIONALE AND OBJECTIVES: The 70-gene signature (MammaPrint) guides risk assessment and treatment in the hormone receptor-positive/human epidermal gro...

Comparative outcomes of proton and photon therapy in the management of malignant peripheral nerve sheath tumors.

BACKGROUND: Malignant Peripheral Nerve Sheath Tumors (MPNSTs) are aggressive sarcomas often arising in the spine, characterized by high metastatic pot...

Optical Navigation Robot-Assisted versus Conventional CT-Guided Localization of Pulmonary Nodules: A Comparison of Efficacy and Analysis of Complication Predictors.

PURPOSE: To compare the efficacy and safety of optical navigation robot-assisted versus conventional CT-guided preoperative localization of pulmonary ...

A multimodal deep learning classifier for prediction of HER2-low expression in triple-negative breast cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) is an aggressive molecular subtype. With the new definition of HER2-low status and the availability o...