Breast Cancer

Online adaptive radiotherapy in pelvic and thoracic cancers - comparing toxicities, clinical outcomes and technical parameters between conventional image-guided radiotherapy and online adaptive radiotherapy - the study protocol for the prospective, registry-based cohort study (PRoART).

BACKGROUND: Conventional image-guided radiotherapy (IGRT) typically relies on a computed tomography (CT)-based treatment planning process (planning CT, pCT) performed prior to the start of treatment. During this process, a patient-specific treatment plan is generated, which is then delivered to the patient with a linear accelerator on a daily basis, usually with image guidance to compensate for va...

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in locally advanced rectal cancer, particularly across different neoadjuvant therapy regimens, is scarce. OBJECTIVE: This study aims to evaluate the diagnostic accuracy of endoscopy for predicting luminal complete response after neoadjuvant therapy and comp...

High-performance MXene/CuNWs/MH-TPU piezoresistive strain sensors fabricated via template-assisted phase separation with integrated thermal-EMI dual protection for emergency rescue.

In recent years, complex and extreme fire environments have posed a severe threat to the safety of front-line firefighters, urgently requiring high-pe...

Integrative Genomic Analysis Reveals Molecular and Clinical Disparities between Bladder and Upper Tract Urothelial Carcinoma in K-MASTER Program.

PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...

Reply - Letter to the Editor: Comment on "Artificial intelligence-driven body composition analysis enhances chemotherapy toxicity prediction in colorectal cancer".

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a fo...

A Dynamic Prognostic and Adaptive Treatment Framework for Advanced Biliary Tract Cancer.

BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC), but outcomes vary substantially, necessitating ...

Impact of neoadjuvant chemotherapy on breast tissue density and its correlation with pathologic response: a retrospective artificial intelligence-enhanced radiological study.

OBJECTIVES: This study evaluates the impact of neoadjuvant chemotherapy (NAT) on breast tissue density and examines the correlation between density ch...

A modality-agnostic coronary artery habitat model for cardiac sparing in radiotherapy.

BACKGROUND: Emerging evidence suggests that the risk of cardiotoxicity increases with increased radiation dose to coronary arteries (CAs). However, ro...

Knowledge-distilled diffusion models for improving cone-beam CT image quality with meta-learning under imbalanced data.

BACKGROUND: Adaptive radiation therapy (ART) relies on daily cone-beam CT (CBCT), yet its limited image quality hinders accurate dose calculation, par...

Recent advances in biomarkers, artificial intelligence, and targeted therapeutic strategies in breast cancer: Current progress and future perspectives.

Breast cancer is a complex and heterogeneous disease that remains a major global health challenge. Recent progress in molecular biology, artificial in...

Machine learning and cox model-based prediction of CDK4/6 inhibitor outcomes in HR+/HER2 - metastatic breast cancer: a multicenter real-world study.

BACKGROUND: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6is) are standard therapy for HR+/HER2 - metastatic breast cancer (MBC), yet treatment outcom...

Self-interaction nanoparticle spectroscopy predicts high-concentration viscosity of therapeutic IgG1 antibodies.

Predicting high-concentration viscosity of monoclonal antibodies is crucial for their development as therapeutics for subcutaneous delivery, but tradi...

Emerging biomarkers in breast fibroadenoma: implications for differential diagnosis, malignant transformation, and precision medicine.

Fibroadenoma is the most common benign fibroepithelial lesion of the breast; it occurs most frequently in adolescents and women of reproductive age. W...

External validation of machine learning models predicting global longitudinal strain from conventional echocardiography in patients with cancer.

Global longitudinal strain (GLS) is a well-established prognostic marker for the early detection of cancer therapy-related cardiac dysfunction (CTRCD)...

Combined circulating tumor antigen model demonstrates additional prognostic value in first-line treatment of non-small cell lung cancer.

BACKGROUND: Circulating tumor antigens (ctA; tumor markers) are blood-based proteins that can offer prognostic value in non-small cell lung cancer (NS...

Beyond Radiation Exposure: Occupational Health Challenges Across the Modern Radiology Workforce.

Radiology occupational safety has historically centred on radiation protection. Although radiation safety remains essential, the digital transformatio...

Impact of image reconstruction algorithms on histogram analysis of iodine concentration for assessing chemotherapy response in pancreatic ductal adenocarcinoma.

PURPOSE: To evaluate the impact of image reconstruction algorithms on histogram analysis of iodine concentration (IC) derived from dual-energy CT (DEC...

A hybrid ConvNeXt-ViT framework with differential evolution optimization for breast cancer classification.

Breast cancer, a leading cause of mortality among women worldwide, necessitates early detection through mammography. Yet, automated classification rem...

Using Machine Learning to Predict Breast Cancer-Related Lymphedema Following Axillary Lymph Node Dissection.

BACKGROUND: Breast cancer-related lymphedema (BCRL) is a common and debilitating sequela of axillary lymph node dissection (ALND). Although machine le...