Unknown

Dataset Information

A Clinical-Radiomics Nomogram for Functional Outcome Predictions in Ischemic Stroke.


ABSTRACT:

Introduction

Stroke remains a leading cause of death and disability worldwide. Effective and prompt prognostic evaluation is vital for determining the appropriate management strategy. Radiomics is an emerging noninvasive method used to identify the quantitative imaging indicators for predicting important clinical outcomes. This study was conducted to investigate and validate a radiomics nomogram for predicting ischemic stroke prognosis using the modified Rankin scale (mRS).

Methods

A total of 598 consecutive patients with subacute infarction confirmed by diffusion-weighted imaging (DWI), from January 2018 to December 2019, were retrospectively assessed. They were assigned to the good (mRS ≤ 2) and poor (mRS > 2) functional outcome groups, respectively. Then, 399 patients exa

SUBMITTER: Wang H 

PROVIDER: S-EPMC8571444 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature