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Simple MRI Lesion Levels Improve Two-Year Prognostic Accuracy Beyond Clinical History in CADASIL
Ruiting Zhang1,2, Chih-Hao Chen3, Louis Lambert2,4
1Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China (R.Z.).
Background:
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common hereditary cerebral small-vessel disease. The CADASIL MRI Inventory Tool summarizes individual MRI findings as simple, type-specific lesion levels. We assessed the predictive value of these levels beyond clinical information.
Methods:
At baseline, CADASIL MRI Inventory Tool levels were assigned for periventricular, deep, and superficial white matter hyperintensities, lacunes, cerebral microbleeds, perivascular spaces in the centrum semiovale and basal ganglia, superficial and deep atrophy, large infarcts, and macrobleeds. Outcomes included stroke, migraine with aura (MA), moderate or severe cognitive impairment, and disability, which were assessed at baseline and during 2-year follow-up. Multivariable logistic regression was performed, with adjustment for age, sex, vascular risk factors, mutation location, and education level.
Results:
We analyzed 743 patients from France, Germany, and Taiwan (mean age, 53±12; 55% with prior stroke; 35% with MA; 15% with disability; 18% with cognitive impairment). At baseline, higher deep white matter hyperintensities and lacune levels were associated with stroke, whereas cerebral microbleeds and superficial atrophy were inversely associated with MA. Superficial atrophy and periventricular white matter hyperintensities were higher, and superficial white matter hyperintensities were lower, among those with cognitive impairment, whereas deep atrophy and lacunes were linked to disability. Over 2 years (n=547), 11.7% experienced ischemic stroke events, 22.2% MA attacks, 6.5% developed disability, and 6.9% moderate or severe cognitive impairment. After adjustment, lacune levels independently predicted ischemic stroke events (odds ratio, 6.10 [95% CI, 2.09-26.02] for all levels combined). Superficial atrophy and higher superficial white matter hyperintensities predicted a lower risk of MA (odds ratio, 0.29 and 0.21 [95% CI, 0.12-0.68] and [0.06-0.77]). Lacunes and deep atrophy predicted disability, and lacunes with superficial atrophy predicted cognitive impairment.
Conclusions:
CADASIL MRI Inventory Tool lesion levels are differentially associated with CADASIL manifestations and provide independent 2-year prognostic information beyond clinical covariates. These simple measures may supplement clinical evaluation to improve short-term risk stratification and support patient selection in clinical trials.
Insights
The CADASIL MRI Inventory Tool effectively predicts stroke, migraine with aura, cognitive impairment, and disability in CADASIL patients. These MRI findings offer valuable prognostic information beyond clinical data for improved risk stratification.
Area of Science:
- Neurology
- Radiology
- Genetics
Background:
- Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common inherited cerebrovascular disorder.
- The CADASIL MRI Inventory Tool standardizes MRI findings into type-specific lesion levels.
- This study evaluated the predictive capacity of these MRI lesion levels in addition to clinical information.
Purpose of the Study:
- To assess the independent predictive value of CADASIL MRI Inventory Tool lesion levels for clinical outcomes.
- To determine if MRI findings can enhance risk stratification in CADASIL patients.
- To explore the prognostic information provided by specific MRI lesion types.
Main Methods:
- A cohort of 743 CADASIL patients from three countries was analyzed.
- Baseline MRI scans were assessed using the CADASIL MRI Inventory Tool for various lesion types.
- Outcomes including stroke, migraine with aura (MA), cognitive impairment, and disability were tracked over 2 years.
- Multivariable logistic regression adjusted for clinical covariates was employed.
Main Results:
- Higher levels of deep white matter hyperintensities and lacunes were associated with stroke.
- Cerebral microbleeds and superficial atrophy showed an inverse association with MA.
- Lacune levels independently predicted ischemic stroke events (OR, 6.10).
- Superficial atrophy and white matter hyperintensities predicted a lower risk of MA (OR, 0.29 and 0.21).
- Lacunes, deep atrophy, and superficial atrophy were linked to disability and cognitive impairment.
Conclusions:
- CADASIL MRI Inventory Tool lesion levels are significantly associated with CADASIL manifestations.
- These MRI measures provide independent prognostic information for 2-year outcomes.
- The tool can supplement clinical evaluation for improved risk stratification and patient selection in trials.
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