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Validation of a Novel MRI Biomarker of Infarct Severity to Predict Functional Outcome After Endovascular Thrombectomy

医学 改良兰金量表 内科学 成像生物标志物 生物标志物 逻辑回归 磁共振成像 前瞻性队列研究 代理终结点 队列 有效扩散系数 心脏病学 核医学 放射科 缺血性中风 生物化学 化学 缺血
作者
Christopher G. Favilla,Robert W. Regenhardt,Braden Denny,Banafsheh Shakibajahromi,Aman B. Patel,Michael T. Mullen,Thabele M Leslie‐Mazwi,Adam A. Dmytriw,Anna K. Bonkhoff,Markus D. Schirmer,Natalia S. Rost,Claus Z. Simonsen,Steven R. Messé
出处
期刊:Stroke [Ovid Technologies (Wolters Kluwer)]
标识
DOI:10.1161/strokeaha.124.050508
摘要

Background: Endovascular thrombectomy (EVT) dramatically improves clinical outcomes, but the final infarct volume (FIV) on MRI only accounts for a minority of the treatment effect. An imaging biomarker that more strongly correlates with post-EVT functional outcome would be helpful for clinical prognosis and serve as a surrogate outcome measure in trials of EVT-adjuvant therapies. Here, we aimed to validate a novel MRI-based metric, infarct density, which leverages post-EVT apparent diffusion coefficient (ADC) as a marker of infarct severity. Methods: A retrospective cohort was derived from a single-center prospective EVT registry. Consecutive anterior circulation EVT patients were included from 2018-2019 who achieved successful reperfusion (mTICI ≥2b). MRI was performed 12-48 hours post-EVT and processed via RAPID to quantify FIV using the ADC <620 threshold. Lesion volume was also collected using ADC <470 threshold, and infarct density was calculated as: (volume <470/volume <620)x100%. Good outcome was defined as ≤2 on the 90-day modified Rankin Scale. Multivariable logistic regression models quantified the association between clinical/imaging variables and outcome. ROC analysis quantified model classification performance. Results: Of 319 EVT patients, 272 met inclusion criteria. The mean age was 69 ±13 years, 41% were female, and 62% achieved a good outcome. After adjusting for clinical and radiographic factors, FIV (aOR 0.99 per 1mL; 95%CI: 0.98-1.00; p=0.03) and infarct density (aOR 0.95 per 1%; 95%CI: 0.94-0.97; p<0.001) were both independently inversely associated with good outcome. The final model incorporating both FIV and infarct density achieved excellent classification performance (AUC 0.87; 95%CI: 0.83-0.91). Removing infarct density from the model diminished its performance (AUC 0.83; 95%CI: 0.78-0.88; p=0.01). Conclusion: ADC-based infarct density after EVT is independently associated with long‐term outcome and provides greater prognostic information than FIV alone. Post-EVT infarct density may be useful in clinical care and as a surrogate outcome measure in trials of EVT-adjuvant therapies.
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