Open AccessPrediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps
Author(s) -
Jiandong Yin,
Lirong Song,
Hecheng Lu,
Zheng Xu
Publication year - 2020
Publication title -
world journal of gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v26.i17.2082
Subject(s) - effective diffusion coefficient , diffusion mri , colorectal cancer , diffusion , texture (cosmology) , medicine , nuclear medicine , cancer , artificial intelligence , radiology , magnetic resonance imaging , computer science , image (mathematics) , physics , thermodynamics
It is evident that an accurate evaluation of T and N stage rectal cancer is essential for treatment planning. It has not been extensively investigated whether texture features derived from diffusion-weighted imaging (DWI) images and apparent diffusion coefficient (ADC) maps are associated with the extent of local invasion (pathological stage T1-2 vs T3-4) and nodal involvement (pathological stage N0 vs N1-2) in rectal cancer.