ArticleInternational journal of stroke : official journal of the International Stroke Society2021
qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patients.
Article in International journal of stroke : official journal of the International Stroke Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Validation of a deep-learning based thrombus classifier on digital subtraction angiography using a large-scale dataset.Neuroradiology · 2026Article
- DSA-NRP: No-Reflow Prediction From Angiographic Perfusion Dynamics in Stroke EVT.IEEE transactions on medical imaging · 2026Article
- Automated image registration of cerebral digital subtraction angiography.International journal of computer assisted radiology and surgery · 2024Article
- Difference between arterial and venous peak optical density after thrombectomy is associated with functional outcomes.Frontiers in neurology · 2024Article
- Review
- Eloquence-based reperfusion scoring and its ability to predict post-thrombectomy disability and functional status.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2022Article
- Clinical Effect of Digital Subtraction Angiography Combined with Neurointerventional Thrombolysis for Acute Ischemic Cerebrovascular Disease and Its Influence on Vascular Endothelial Function and Oxidative Stress.Oxidative medicine and cellular longevity · 2022Article
- No-reflow phenomenon following stroke recanalization therapy: Clinical assessment advances: A narrative review.Brain circulationReview
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20 authors.
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Abstract
backgroundThe Thrombolysis in Cerebral Infarction (TICI) scale is an important outcome measure to evaluate the quality of endovascular stroke therapy. The TICI scale is ordinal and observer-dependent, which may result in suboptimal prediction of patient outcome and inconsistent reperfusion grading.
aimsWe present a semi-automated quantitative reperfusion measure (quantified TICI (qTICI)) using image processing techniques based on the TICI methodology.
methodsWe included patients with an intracranial proximal large vessel occlusion with complete, good quality runs of anteroposterior and lateral digital subtraction angiography from the MR CLEAN Registry. For each vessel occlusion, we identified the target downstream territory and automatically segmented the reperfused area in the target downstream territory on final digital subtraction angiography. qTICI was defined as the percentage of reperfused area in target downstream territory. The value of qTICI and extended TICI (eTICI) in predicting favorable functional outcome (modified Rankin Scale 0-2) was compared using area under receiver operating characteristics curve and binary logistic regression analysis unadjusted and adjusted for known prognostic factors.
resultsIn total, 408 patients with M1 or internal carotid artery occlusion were included. The median qTICI was 78 (interquartile range 58-88) and 215 patients (53%) had an eTICI of 2C or higher. qTICI was comparable to eTICI in predicting favorable outcome with area under receiver operating characteristics curve of 0.63 vs. 0.62 (P = 0.8) and 0.87 vs. 0.86 (P = 0.87), for the unadjusted and adjusted analysis, respectively. In the adjusted regression analyses, both qTICI and eTICI were independently associated with functional outcome.
conclusionqTICI provides a quantitative measure of reperfusion with similar prognostic value for functional outcome to eTICI score.
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