Background: Lymph node metastasis is a major prognostic determinant for patients with head and neck squamous cell cancer (HNSCC). This study aimed to construct a predictive model using CT ...

Fibroblastic reticular cells — which are immunologically specialized myofibroblasts of mesenchymal origin — create a network within lymph nodes that is essential for immunological health ...

This model has demonstrated an 89% success rate in predicting lymph node metastasis, a rate that rises to 91% when the model is validated with data from an external hospital.

In the present study, the siRNA expression vectors targeting VEGF-C or VEGF-A strongly suppressed lymph node metastasis in our immunocompetent metastatic mammary cancer model.

In recently published studies, researchers at Lund University and Skåne University Hospital in Sweden have produced new prediction models for improved personalized treatment of lymph nodes in ...

An artificial intelligence and natural language processing platform extracts data from patient records to help researchers create a model for lymph node identification and positivity.

Background: Breast cancer patients with a positive sentinel lymph node invariably have a complete axillary lymph node dissection; however, further nodal disease is not always present. Mathematical ...

Goals are to generate the lymph node model, validate tissue organization and function, and validate the transport characteristics of drugs. The vision is that this technology can be used for studies ...

Metastatic lymph nodes can be the source of distant metastases in mouse models of cancer If confirmed in human patients, findings could indicate the need to treat lymph node metastases Date: March ...