The Journal of craniofacial surgery · 2024
Clinical Characteristics and Multi-Model Imaging Analysis of Moyamoya Disease: An Observational Study.
СтатьяНаблюдательное исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ling Hui, Huang Huaping, Fu Bin, Pan Xiaoli, Gao Liansheng, Yan Wei
Аннотация
PURPOSE: Previous studies have lacked a comprehensive analysis of imaging modalities for diagnosing Moyamoya disease (MMD). This study aims to bridge this gap by utilizing multi-modal imaging to provide a more detailed understanding of the clinical and imaging characteristics of MMD.
METHODS: A retrospective analysis was conducted on seventy-eight adult MMD patients enrolled from March 2018 to March 2021. The study focused on clinical features, imaging findings, and treatment outcomes, with a particular emphasis on the comparative efficacy of different imaging modalities.
RESULTS: In this series, clinical manifestations varied depending on the type of MMD, with intracerebral hemorrhage (ICH) being the most common (69.2%), followed by cerebral infarction (25.6%). Imaging techniques provided critical diagnostic insights: magnetic resonance imaging (MRI) demonstrated superior sensitivity over computed tomography (CT) in detecting hemorrhages, whereas computed tomography angiography (CTA) and digital subtraction angiography (DSA) identified intricate vascular lesions, including moyamoya vessels and aneurysms. Notably, cerebral perfusion imaging (CTP) highlighted significant differences in cerebral blood flow and volume between infarction and hemorrhage cases. This comprehensive imaging approach guided varied therapeutic strategies, including bypass surgery in 57 patients and interventional embolization for aneurysms in 14 patients.
CONCLUSION: The authors' findings underscore the critical role of early diagnosis using DSA, whereas highlighting CTA and MRA as valuable noninvasive tools for screening and follow-up. The integration of multi-modal imaging provides a detailed vascular assessment crucial for individualized patient management, facilitating timely interventions and significantly improving clinical outcomes.
METHODS: A retrospective analysis was conducted on seventy-eight adult MMD patients enrolled from March 2018 to March 2021. The study focused on clinical features, imaging findings, and treatment outcomes, with a particular emphasis on the comparative efficacy of different imaging modalities.
RESULTS: In this series, clinical manifestations varied depending on the type of MMD, with intracerebral hemorrhage (ICH) being the most common (69.2%), followed by cerebral infarction (25.6%). Imaging techniques provided critical diagnostic insights: magnetic resonance imaging (MRI) demonstrated superior sensitivity over computed tomography (CT) in detecting hemorrhages, whereas computed tomography angiography (CTA) and digital subtraction angiography (DSA) identified intricate vascular lesions, including moyamoya vessels and aneurysms. Notably, cerebral perfusion imaging (CTP) highlighted significant differences in cerebral blood flow and volume between infarction and hemorrhage cases. This comprehensive imaging approach guided varied therapeutic strategies, including bypass surgery in 57 patients and interventional embolization for aneurysms in 14 patients.
CONCLUSION: The authors' findings underscore the critical role of early diagnosis using DSA, whereas highlighting CTA and MRA as valuable noninvasive tools for screening and follow-up. The integration of multi-modal imaging provides a detailed vascular assessment crucial for individualized patient management, facilitating timely interventions and significantly improving clinical outcomes.