Evaluation of the Statistical Detection of Change Algorithm for Screening Patients with MS with New Lesion Activity on Longitudinal Brain MRI.
Moayad HomssiE M SweeneyE DemmonW MannheimM SakirskyYi WangSusan A GauthierAjay GuptaThanh D NguyenPublished in: AJNR. American journal of neuroradiology (2023)
The statistical detection of change algorithm can serve as a time-saving screening tool to assist human readers in verifying 3D FLAIR images of patients with MS with suspected new lesions. Our promising results warrant further evaluation of statistical detection of change in prospective multireader clinical studies.
Keyphrases
- deep learning
- loop mediated isothermal amplification
- machine learning
- mass spectrometry
- multiple sclerosis
- real time pcr
- ms ms
- endothelial cells
- magnetic resonance imaging
- computed tomography
- white matter
- induced pluripotent stem cells
- resting state
- optical coherence tomography
- contrast enhanced
- pulmonary embolism
- pluripotent stem cells
- functional connectivity