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Published on: December 6, 2016
Neuroimaging in Distal & Medium Vessel Occlusions
Sana Rehman1, Umar Akram2, Summaiyya Waseem2
1From the Research Coordinator (S.R.), Hematology, SOM Rad Neuroradiology (V.Y.), Johns Hopkins, Baltimore, USA; Department of Medicine (U.A.), Allama Iqbal Medical College, Lahore, Pakistan; Dow University of Health Sciences (S.W.), Karachi, Pakistan; Research Fellow (A.A.N.K.), Massachusetts General Hospital, USA; Department of Medicine (S.A.), Fatima Memorial Hospital College of Medicine and Dentistry, Lahore, Pakistan; Department of Medicine (M.R.A.), Shifa College of Medicine, Islamabad, Pakistan; Department of Medicine (M.A.J.M.), Wah Medical College, Wah Cantt, Pakistan; LSU Shreveport (M.T.Z.), LA, US and Abington Jefferson Hospital (F.M.). Srehman5@jhmi.edu.
Diagnosing and treating distal medium vessel occlusions (DMVOs) in acute ischemic stroke is challenging. Advanced imaging like Tmax maps and AI tools show promise, but large trials are needed for endovascular thrombectomy (EVT) effectiveness.
Area of Science:
- Neurology
- Vascular Neurology
- Stroke Medicine
Background:
- Distal medium vessel occlusions (DMVOs) present diagnostic and therapeutic challenges in acute ischemic stroke due to anatomical variability and imaging limitations.
- Computed tomography angiography (CTA) has low accuracy for DMVO detection, highlighting the need for superior imaging modalities.
- Current treatment strategies and evidence for endovascular thrombectomy (EVT) in DMVOs are limited and debated.
Purpose of the Study:
- To review the diagnostic and therapeutic challenges associated with DMVOs in acute ischemic stroke.
- To evaluate the efficacy of advanced imaging techniques and emerging AI tools in DMVO diagnosis.
- To discuss the current status and future directions for endovascular thrombectomy in DMVOs.
Main Methods:
- Review of current literature on DMVOs, focusing on diagnostic imaging and endovascular treatment.
- Analysis of the sensitivity and specificity of various imaging modalities, including CTA and time-to-maximum (Tmax) maps.
- Evaluation of the role of artificial intelligence (AI) in DMVO detection and management.
Main Results:
- Time-to-maximum (Tmax) maps demonstrate higher sensitivity for DMVO detection compared to CTA.
- Artificial intelligence (AI) tools show potential for improving DMVO diagnosis but require further validation.
- Evidence supporting endovascular thrombectomy (EVT) for DMVOs is primarily derived from single-center studies, indicating a need for more robust data.
Conclusions:
- Accurate diagnosis of DMVOs requires advanced imaging beyond CTA, with Tmax maps and AI showing promise.
- Endovascular thrombectomy (EVT) for DMVOs is an evolving field requiring further research and device development.
- Large-scale, multicenter trials are crucial to establish standardized protocols and confirm the efficacy of EVT for DMVOs, ultimately improving patient outcomes.
