REVIEW article
Front. Neurosci.
Sec. Neuroscience Methods and Techniques
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1591605
This article is part of the Research TopicIntegrating Multimodal Approaches to Unravel Neural Mechanisms of Learning and CognitionView all 6 articles
The Application Of Radiomics In The Diagnosis And Evaluation Of Cognitive Impairment Related To Neurological Diseases
Provisionally accepted
- 1The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
- 2Suzhou Industrial Park Xinghai Hospital, Suzhou, China
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Cognitive impairment (CI) is common, with diverse underlying causes, symptoms, and imaging features. It often leads to disability and loss of independence. Early diagnosis and assessment of CI are crucial for the prognosis improvement. Conventional diagnostic methods for CI are hindered by subjectivity and imprecision. Radiomics, a sophisticated and objective methodology, has been increasingly utilized in CI in recent times. This article describes the methodology of radiomics and reviews the application of radiomics in the prediction and evaluation of cognitive impairment related to neurological diseases such as Alzheimer's disease (AD), Parkinson ' s disease (PD), Cerebral small vessel disease (CSVD), and Stroke. It can provide imaging markers for the early diagnosis and risk stratification of cognitive impairment.
Keywords: cognitive impairment, Radiomics, Alzheimer's disease, Parkinson's disease, Cerebral small vessel disease, Stroke
Received: 11 Mar 2025; Accepted: 19 Jun 2025.
Copyright: © 2025 Xiao, He, Zhou, Guo, Cai and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiuying Cai, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China
Tan Li, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China
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