Integrating clinical and biochemical markers: a novel nomogram for predicting lacunes in cerebral small vessel disease
This study introduces a clinically useful nomogram, derived from binary logistic regression, that significantly enhances the prediction of lacunes in patients undergoing brain MRI for various indications, potentially advancing early diagnosis and intervention. While promising, its retrospective design and single-center context are limitations that warrant further research, including multi-center validation.
Authors
- Chu-Han Wang
- Si-Bo Li
- Weiying Di
- Ye Jiang (ORCID: https://orcid.org/0000-0003-0507-8520)
- Ning Li (ORCID: https://orcid.org/0000-0002-5080-5726)
- Yadong Hu (ORCID: https://orcid.org/0000-0003-1704-6980)
- Jiamin Shao
- Li Ling
Institutions
- Affiliated Hospital of Hebei University (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2024-08-23
- DOI
- https://doi.org/10.3389/fnagi.2024.1404836
- Citations
- 1
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- Hebei University