| Autor: |
Andre Monteiro, Muhammad Waqas, Hamid H. Rai, Ammad A. Baig, Rimal H. Dossani, Justin M. Cappuzzo, Elad I. Levy, Adnan H. Siddiqui |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Br J Radiol |
| ISSN: |
1748-880X |
| Popis: |
Objective: Pre-existing brain atrophy may affect the outcomes of patients treated with mechanical thrombectomy (MT) for large-vessel-occlusion because it is an indicator of low brain reserve. We performed a systematic literature review to assess the impact of brain atrophy on MT-related clinical outcomes. Methods: We conducted a systematic search of PubMed, MEDLINE, EMBASE, and Cochrane Library databases from inception to March 2021 using keywords with Boolean operators(“brain atrophy”; “atrophy”; “white matter”; and “thrombectomy”). Articles published in English that evaluated the impact of pre-existing brain atrophy on outcomes of MT-treated acute ischemic stroke were eligible for inclusion. Results: Four articles were included. Brain atrophy index was a predictor of mortality (odds ratio [OR]:1.81–1.87, 95% confidence interval [CI]:1.16–2.93) after adjustments for age and white matter lesions. Global cortical atrophy scale was an independent predictor of futile recanalization (OR 1.15, 95% CI 1.08–1.22) in multivariate-adjusted logistic regression. Automated measurement of CSF identified increasing volumes associated with reduced 3-month functional independence and higher modified Rankin scale scores. STandards for ReportIng Vascular changes on Neuroimaging criteria for brain atrophy were associated with unfavorable outcome in ordinal-shift analysis (OR 2.72, 95% CI 1.25–5.91). Conclusions: The few studies available highlight heterogeneity of neuroimaging methodologies for assessing brain atrophy and difficulty addressing the multiple confounders involved in clinical outcomes. More consistent, accurate investigation is needed before proposing brain atrophy as a possible parameter to improve patient selection for MT. Advances in knowledge: Brain atrophy is associated with many of the clinical confounders frequently present in patients with acute ischemic stroke. Heterogeneity in classification methodologies for brain atrophy and complexity analyzing multiple clinical confounders make it difficult to assess the true impact of this radiological finding on MT-related outcomes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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