Automated Quantification of Compartmental Blood Volumes Enables Prediction of Delayed Cerebral Ischemia and Outcomes After Aneurysmal Subarachnoid Hemorrhage.
Automated Quantification of Compartmental Blood Volumes Enables Prediction of Delayed Cerebral Ischemia and Outcomes After Aneurysmal Subarachnoid Hemorrhage.
复制标题
室室血容量的自动定量可以预测迟发性脑缺血和动脉瘤性蛛网膜下腔出血后的结果。
DOI:
10.1016/j.wneu.2022.10.105
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发表时间:
2023
影响因子:
2
通讯作者:
Dhar,Rajat
中科院分区:
文献类型:
--
作者:
Yuan,JaneY;Chen,Yasheng;Jayaraman,Keshav;Kumar,Atul;Zlepper,Zach;Allen,MichelleL;Athiraman,Umeshkumar;Osbun,Joshua;Zipfel,Gregory;Dhar,Rajat
ObjectiveThe role of hemorrhage volume in risk of vasospasm, delayed cerebral ischemia (DCI), and poor outcomes after aneurysmal subarachnoid hemorrhage (SAH) is well established. However, the relative contribution of blood within individual compartments is unclear. We present an automated technique for measuring not only total but also volumes of blood in each major compartment after SAH.MethodsWe trained convolutional neural networks to identify compartmental blood (cisterns, sulci, and ventricles) from baseline computed tomography scans of patients with SAH. We compared automated blood volumes against traditional markers of bleeding (modified Fisher score [mFS], Hijdra sum score [HSS]) in 190 SAH patients for prediction of vasospasm, DCI, and functional status (modified Rankin Scale) at hospital discharge.ResultsCombined cisternal and sulcal volume was better correlated with mFS and HSS than cisternal volume alone (ρ = 0.63 vs. 0.58 and 0.75 vs. 0.70,P< 0.001). Only blood volume in combined cisternal plus sulcal compartments was independently associated with DCI (OR 1.023 per mL, 95% CI 1.002–1.048), after adjusting for clinical factors while ventricular blood volume was not. Total and specifically sulcal blood volume was strongly associated with poor outcome (OR 1.03 per mL, 1.01–1.06,P= 0.006 and OR 1.04, 1.00–1.08 for sulcal) as was HSS (OR 1.06 per point, 1.00–1.12,P= 0.04), while mFS was not (P= 0.24).ConclusionsAn automated imaging algorithm can measure the volume of bleeding after SAH within individual compartments, demonstrating cisternal plus sulcal (and not ventricular) blood contributes to risk of DCI/vasospasm. Automated blood volume was independently associated with outcome, while qualitative grading was not.