
Textural differences based on apparent diffusion coefficient maps for discriminating pT3 subclasses of rectal adenocarcinoma
Author(s) -
Zhihua Lu,
Kaijian Xia,
Heng Jiang,
Jian Jiang,
Mei Wu
Publication year - 2021
Publication title -
world journal of clinical cases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.368
H-Index - 10
ISSN - 2307-8960
DOI - 10.12998/wjcc.v9.i24.6987
Subject(s) - medicine , effective diffusion coefficient , adenocarcinoma , diffusion , colorectal adenocarcinoma , artificial intelligence , pattern recognition (psychology) , radiology , cancer , magnetic resonance imaging , physics , thermodynamics , computer science
The accuracy of discriminating pT3a from pT3b-c rectal cancer using high-resolution magnetic resonance imaging (MRI) remains unsatisfactory, although texture analysis (TA) could improve such discrimination.