Early Detection of Treatment Response in Lung Cancer Using Delta-Radiomics Features
The study conducted by Heidelberg University Hospital investigates the use of diffusion-weighted MRI (DWI) to predict early treatment outcomes in…
Categories: Texture Analysis
Heidelberg University Hospital: Delta-Radiomics Features from ADC Maps as Early Predictors of Treatment Success in Lung Cancer Therapy
In this prospective study conducted by Heidelberg University Hospital, researchers investigated whether changes in radiomic features from…
University of Miami & Nova Souteastern University: Study shows feasibility of radiomics and T2 mapping as novel imaging biomarkers of activity in superficial fibromatosis
A retrospective study [1] conducted by researchers at University of Miami Miller School of Medicine and Nova Southeastern University investigated…
University Hospital Tübingen: Study examined correlation between 18f-fdg PET and CT texture parameters in metastatic melanoma patients
An exploratory study [1] conducted by researchers at University Hospital Tuebingen investigated whether CT texture analysis parameters correlate with…
Royal Marsden London: Study shows prediction power of CT-based 2D and 3D texture analysis for liver metastases
In a retrospective study [1], a team from Royal Marsden in London and Sutton explored changes of CT texture analysis metrics in unresectable liver…
University Hospital Ulm: Pilot study shows discriminatory power of MRI-based 3d texture analysis for bone lesions
Distinguishing between enchondroma, a benign tumor, and low-grade chondrosarcoma, which is a low-aggressivity malignancy, is a frequent challenge, as…