MLH1 p.His112Arg Variant Is Associated With Increased Cancer Susceptibility
ABSTRACT Lynch syndrome, a prevalent hereditary cancer predisposition, is frequently caused by pathogenic variants in the MutL homolog 1 (MLH1) mismatch repair gene. However, a significant proportion of MLH1 missense variants remain classified as variants of uncertain significance (VUS), creating clinical ambiguity.
Amal Elfatih +10 more
wiley +1 more source
Commissioning a single photon counting CT simulator for radiotherapy planning: Methods, challenges, and initial results. [PDF]
Basran PS, Richtsmeier D.
europepmc +1 more source
ABSTRACT Ovarian cancer (OC) continues to be the deadliest gynecological malignancy and a significant cause of cancer‐related mortality among women worldwide. Standard treatment strategies typically entail platinum‐based chemotherapy in conjunction with cytoreductive surgery.
Zunera Khalid +4 more
wiley +1 more source
Real-world clinical impact of implementing and updating a deep learning-based automatic contouring system in rectal cancer radiotherapy. [PDF]
Wang N +8 more
europepmc +1 more source
Tissue Clearing for Lymph Nodes: 3D Mapping of Nerves and the Immune Microenvironment
ABSTRACT Lymph nodes (LNs) are central hubs of adaptive immunity and key relay sites for metastatic tumour cells. However, conventional two‐dimensional histology samples only a small fraction of each node, potentially missing micrometastases and multifocal involvement while obscuring long‐range spatial relationships among tumour deposits, immune ...
Guang‐Hong Su +7 more
wiley +1 more source
Synthetic CT artifacts in MR-only brain radiotherapy: Clinical implementation experience. [PDF]
Lee H +13 more
europepmc +1 more source
ABSTRACT Background Accurate preoperative characterization of breast lesions is important for individualized management. The conventional monoexponential (Mono) model has limited ability to capture the complex microstructure of lesions. Non‐Gaussian diffusion models, including continuous‐time random walk (CTRW) and fractional‐order calculus (FROC), may
Yimeng Cao +10 more
wiley +1 more source
Pulmonary ventilation images from planning CT images using deep learning on locally-advanced NSCLC patients. [PDF]
Katsuta Y +8 more
europepmc +1 more source
ABSTRACT Background MRI‐derived nodal features may improve prognostication beyond TNM staging, but distant‐metastasis risk models remain limited. Purpose To develop and internally validate an MRI model for distant metastasis prediction in locoregionally advanced nasopharyngeal carcinoma (LA‐NPC). Study Type Retrospective.
Jing Wang +10 more
wiley +1 more source
Advancing Tumor Treatment Through Artificial Intelligence and Mathematical Modeling: A Comprehensive Review. [PDF]
Kamran M +3 more
europepmc +1 more source

