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

ABSTRACT:

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.

Methods

In this study, we combined texture features with machine learning (ML) methods aiming to differentiate brain tumors from inflammatory lesions i

SUBMITTER: Alves AFF 

PROVIDER: S-EPMC7473508 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature