Radiomics nomogram based on MRI for predicting white matter hyperintensity progression in elderly adults
Zhen-Yu Shu1, Yuan Shao1, Yu-Yun Xu1
1Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, China.
Journal of Magnetic Resonance Imaging : JMRI
|June 13, 2019
Summary
A radiomics nomogram effectively predicts white matter hyperintensity (WMH) progression in elderly adults. This tool aids in assessing and managing white matter disease using conventional MRI.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence in Medicine
Background:
- White matter hyperintensity (WMH) is common in aging brains and linked to various diseases.
- There's a clinical need for practical methods to assess and monitor white matter disease.
Purpose of the Study:
- To develop and validate a radiomics nomogram for predicting WMH progression.
Main Methods:
- Retrospective analysis of MRI data from 193 WMH patients (primary cohort) and 127 patients (external validation).
- T1-fluid attenuated inversion recovery (FLAIR) images acquired on 3T scanners.
- WMH assessed using Fazekas scale and visual rating for progression; radiomics features extracted and analyzed.
Main Results:
- The radiomics nomogram achieved an AUC of 0.899 in the primary cohort and 0.84 in internal validation.
- Radiomics signature AUCs were 0.886 (primary), 0.816 (internal), and 0.787 (external validation).
- The nomogram demonstrated high sensitivity and specificity in predicting WMH progression across cohorts.
Conclusions:
- A radiomics nomogram can reliably predict WMH progression in elderly individuals (≥60 years) using conventional MRI.
- This tool offers a pragmatic approach for clinical assessment and follow-up of white matter disease.
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