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Neuroscience · 2025

Robotic thread-assisted clot removal for stroke treatment: A comprehensive review.

СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Sandhanam K, Rynjah Damanbhalang, Ghose Shatabdi, Sahu Ram Kumar, Ahmed Abdul Baquee, Sumitra M, Laloo Damiki, Bhattacharjee Bedanta

Аннотация

Stroke is the predominant factor of long-term impairment in developed nations and is a major contributor to death globally. Stroke is a life-threatening neurological condition caused by the occlusion or rupture of blood vessels in the brain. Brain clot restricts blood movement by causing obstruction thus, damaging the blood vessels and tissues, which ultimately causes stroke. Thus, stroke requires immediate and efficient treatment to reduce neurological deterioration and increase patient recuperation. Over the last decade, there have been significant breakthroughs in diagnostic and therapeutic interventionsfor stroke. Stroke is typically treated with immediate therapeutic interventions, which may involve thrombolytic medication infusions like tissue plasminogen activator, anti-coagulants like heparin, or surgical clot clearance procedures like thrombectomy. Despite the significant benefits of these treatments, several disadvantages, including restricted therapeutic index, allergic reactions, and adverse effects (such as hypotension, recurrent stroke, hypoglycaemia, and atypical bleeding), highlight the need for far more innovative solutions. In response to these challenges, a novel approach to treating brain clots has emerged. The study investigates a novel approach to treating strokes caused by brain clots through the utilization of a steerable micro-robotic thread guided by real-time imaging to enhance precision in clot removal. This method addresses the limitations of traditional treatments namely thrombolytics and thrombectomy. In this work, we emphasized the innovative approaches in the removal of brain clots, the use and mechanisms of cutting-edge robotic thread technology, and presented specific case studies demonstrating its application.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты