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Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography
Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography
Carotid artery plaques are a major contributor to ischemic stroke, yet current assessment methods focusing on luminal sten...
Quantitative assessment of idiopathic normal pressure hydrocephalus and obstructive hydrocephalus based on glymphatic parameters
Quantitative assessment of idiopathic normal pressure hydrocephalus and obstructive hydrocephalus based on glymphatic parameters
To compare glymphatic system parameters (the Diffusion Tensor Imaging-Analysis of Lymphatic System [DTI-ALPS] index, periv...
Effect of geometric parameters of the vertebrobasilar artery on vertebrobasilar system geometries and basilar artery curvature
Effect of geometric parameters of the vertebrobasilar artery on vertebrobasilar system geometries and basilar artery curvature
The geometric characteristics of the vertebrobasilar artery (VBA) have been suggested to be associated with posterior circ...
3D quantitative synthetic MRI for assessing Alzheimer’s clinical syndrome, subjective cognitive impairment, and mild cognitive impairment
3D quantitative synthetic MRI for assessing Alzheimer’s clinical syndrome, subjective cognitive impairment, and mild cognitive impairment
For Alzheimer’s Clinical Syndrome (ACS) and early cognitive decline (mild and subjective cognitive impairment, MCI/S...
New MRI findings of late delayed radiation injuries in long-term survivors after radiotherapy: punctate enhancing dot-, oval-, or rod-like lesions
New MRI findings of late delayed radiation injuries in long-term survivors after radiotherapy: punctate enhancing dot-, oval-, or rod-like lesions
In long-term survivors of central nervous system (CNS) tumors who have undergone radiotherapy, punctate enhancing lesions ...
Noninvasive MRI biomarkers in diabetic neuropathy: correlation with electrophysiology, clinical scores, and nerve pathology
Noninvasive MRI biomarkers in diabetic neuropathy: correlation with electrophysiology, clinical scores, and nerve pathology
Diabetic peripheral neuropathy (DPN) is a common and disabling complication of diabetes, and reliable noninvasive biomarke...
A comprehensive framework for automated segmentation of perivascular spaces in brain MRI with the nnU-Net
A comprehensive framework for automated segmentation of perivascular spaces in brain MRI with the nnU-Net
Enlargement of perivascular spaces (PVS) is common in cerebral small vessel disease, Alzheimer’s disease, and Parkin...
MRI Differentiation of Anaplastic Ependymoma and Medulloblastoma with Fourth Ventricular Outlet Extension in Children
MRI Differentiation of Anaplastic Ependymoma and Medulloblastoma with Fourth Ventricular Outlet Extension in Children
Medulloblastoma and anaplastic ependymoma (AE) are common malignant pediatric posterior fossa tumors with differing outcom...
Pathological signatures of white matter lesions in multiple sclerosis versus stroke: a synthetic MRI study
Pathological signatures of white matter lesions in multiple sclerosis versus stroke: a synthetic MRI study
To evaluate whether quantitative synthetic MRI (SyMRI) parameters can differentiate non-specific white matter lesions (nsW...
Amide proton transfer and arterial spin labeling for non-invasive molecular stratification of glioma: a multi-dataset imaging biomarker study
Amide proton transfer and arterial spin labeling for non-invasive molecular stratification of glioma: a multi-dataset imaging biomarker study
To evaluate amide proton transfer chemical exchange saturation transfer magnetization transfer ratio asymmetry (MTRasym) a...
Integrated quantitative susceptibility mapping and radiomics for multiple system atrophy subtypes classification
Integrated quantitative susceptibility mapping and radiomics for multiple system atrophy subtypes classification
To explore the diagnostic potential of combining quantitative susceptibility mapping (QSM) and radiomics in distinguishing...
Radiomics-based artificial intelligence models in brain tumors: A systematic review and meta-analysis of diagnostic performance
Radiomics-based artificial intelligence models in brain tumors: A systematic review and meta-analysis of diagnostic performance
Radiomics-based artificial intelligence (AI) models have emerged as promising tools for brain tumor diagnosis, grading, an...
Prevalence of basilar artery variants: a systematic review with meta-analysis of radiological studies
Prevalence of basilar artery variants: a systematic review with meta-analysis of radiological studies
To provide a comprehensive meta-analytic synthesis of the morphological variability of the basilar artery (BA) - specifica...
Stroke endovascular thrombectomy related subarachnoid hyperdensity: incidence, predictive factors, and a proposed sub-classification
Stroke endovascular thrombectomy related subarachnoid hyperdensity: incidence, predictive factors, and a proposed sub-classification
Subarachnoid hyperdensity (SAH) after endovascular thrombectomy is a well-known phenomenon. Nevertheless, the clinical sig...
The role of carotid elongation for intervention time and outcome in mechanical thrombectomy for anterior circulation acute ischemic stroke
The role of carotid elongation for intervention time and outcome in mechanical thrombectomy for anterior circulation acute ischemic stroke
This study investigates the influence of carotid artery elongation on neurovascular intervention and outcome in acute stro...
Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit
Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit
We aimed to validate a clinically available artificial intelligence (AI) model to assist general radiologists in the detec...
Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder
Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder
Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it diffic...
Pipeline embolization device for aneurysm recurrence after stent-assisted coiling
Pipeline embolization device for aneurysm recurrence after stent-assisted coiling
Since the emergence of the Pipeline Embolization Device (PED), its off-label use has significantly improved the treatment ...
The cortical high-flow sign in oligodendroglioma, IDH-mutant and 1p/19q-codeleted is correlated with histological cortical vascular density
The cortical high-flow sign in oligodendroglioma, IDH-mutant and 1p/19q-codeleted is correlated with histological cortical vascular density
The cortical high-flow sign has been more commonly reported in oligodendroglioma, IDH-mutant and 1p/19q-codeleted (ODG IDH...
Perivascular and parenchymal brain fluid diffusivity in patients with a recent small subcortical infarct
Perivascular and parenchymal brain fluid diffusivity in patients with a recent small subcortical infarct
Fluid exchanges between perivascular spaces (PVS) and interstitium may contribute to the pathophysiology of small vessel d...
Detecting B-cell lymphoma-6 overexpression status in primary central nervous system lymphoma using multiparametric MRI-based machine learning
Detecting B-cell lymphoma-6 overexpression status in primary central nervous system lymphoma using multiparametric MRI-based machine learning
In primary central nervous system lymphoma (PCNSL), B-cell lymphoma-6 (BCL-6) is an unfavorable prognostic biomarker. We a...
Spinal cord cross sign: a potential marker for hereditary spastic paraplegia type 5
Spinal cord cross sign: a potential marker for hereditary spastic paraplegia type 5
Spastic paraplegia type 5 (SPG5) is a rare neurodegenerative disease diagnosed primarily through genetic testing.We identi...