What is it about?
AI image analysis using convolutional neural networks on head MRI images, combined with co-occurrence network analysis, reveals that hypertension is a major risk factor for white matter lesions (WMLs) in the brain and is associated with a higher rate of disease progression.
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Photo by Robina Weermeijer on Unsplash
Why is it important?
In Japan, the progression of a super-aging society has led to an increase in non-communicable diseases such as diabetes mellitus, hypertension, hyperlipidemia, and hyperuricemia. These conditions are closely associated with more severe and life-threatening diseases, including cardiovascular and cerebrovascular diseases, as well as dementia. Brain MRI images showing white matter lesions highlight the progression of ischemic damage and age-related changes in the brain. Among these, hypertension plays a critical role as a causative factor in brain damage and neural impairments.
Perspectives
In elderly patients, who often exhibit multimorbidity and polypharmacy, treatment can be particularly challenging. As the next step, we will focus on conducting an epidemiological study to interpret non-communicable diseases (NCDs), such as diabetes mellitus, cardiovascular diseases, cerebrovascular diseases, and dementia, using large-scale medical data from personal health records (PHRs). Additionally, we aim to implement a pharmaceutical transport system tailored for elderly patients.
Professor Kazuo Ishii
Suwa University of Science
Read the Original
This page is a summary of: Grade prediction of lesions in cerebral white matter using a convolutional neural network, PLOS One, November 2024, PLOS,
DOI: 10.1371/journal.pone.0313516.
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