Inflammatory lesions and brain tumors: is it possible to differentiate them based on texture features in magnetic resonance imaging?

Journal of venomous animals and toxins

article

Allan Felipe Fattori Alves¹  José Ricardo de Arruda Miranda¹  Fabiano Reis²  Sergio Augusto Santana de Souza¹  Luciana Luchesi Rodrigues Alves¹  Laisson de Moura Feitoza²  José Thiago de Souza de Castro²  Diana Rodrigues de Pina³ 

[1] Department of Physics and Biophysics, Botucatu Biosciences Institute, São Paulo State University (UNESP);Department of Radiology, School of Medical Sciences, University of Campinas (Unicamp);Department of Tropical Disease and Imaging Diagnosis, Botucatu Medical School, São Paulo State University (UNESP)

关键词: Medical imaging;    Image processing;    Inflammation;    Tumor;    Magnetic resonance imaging;   

DOI  :  10.1590/1678-9199-JVATITD-2020-0011

学科分类：药理学

来源: BioMed Central

【 摘 要 】

Background: Neuroimaging strategies are essential to locate, to elucidate the etiology, and to the follow up of brain disease patients. Magnetic resonance imaging (MRI) provides good cerebral soft-tissue contrast detection and diagnostic sensitivity. Inflammatory lesions and tumors are common brain diseases that may present a similar pattern of a cerebral ring enhancing lesion on MRI, and non-enhancing core (which may reflect cystic components or necrosis) leading to misdiagnosis. Texture analysis (TA) and machine learning approaches are computer-aided diagnostic tools that can be used to assist radiologists in such decisions.

【 授权许可】

CC BY