SAHVAI-3D and 4D: A New, Automated Subarachnoid Hemorrhage Volumetric Artificial Intelligence (SAHVAI) Measurement Approach Using Non-Contrast Head CT Scans

Author:

Wirtz Melina,Salman Saif,Wei Yujia,Patel Vishal,Sharma Rohan,Gupta Vikash,Gu QiangqiangORCID,Dherin Benoit,Reddy Sanjana,Tawk Rabih,Erickson Bradley J,Freeman William DavidORCID

Abstract

AbstractObjectivesTo automate subarachnoid hemorrhage volume (SAHV) calculation (SAHVAI-SAHV ArtificialIntelligence)and create 3D volumetric images (SAHVAI-3D) using non-contrast head CT (NCCT) imaging data in aneurysmal subarachnoid hemorrhage (SAH) patients. We also defined SAHVAI-4D, representing SAHV over time. The aim was to compare automated SAHVAI volumes to manual SAHV methods and computation times, explore these imaging biomarkers’ potential in identifying at-risk brain regions for delayed cerebral ischemia (DCI), and explore potential insights in future neurotherapeutic interventions for SAH patient recovery.MethodsA training set of 10 consecutive aneurysmal SAH cases was used to manually compute SAHV, SAHVAI-3D, and SAHVAI-4D, involving 92 non-contrast CT scans (182 slices each). The SAHVAI deep learning (DL) algorithm generated automated SAHV values in cubic centimeters (cc). For both SAHVAI and manual evaluations, a 3D SAH brain map was created for each patient. Blood volumetric outputs were analyzed and compared to neurological outcomes at discharge, including DCI events, symptomatic vasospasm (sVSP), and areas with the thickest SAH blood concentration.ResultsSAHVAI quantified SAH blood volume (SAHV) in average of 6.7 seconds per scan, significantly faster than the manual method, which took over 60 minutes per scan (Fisher’s exact test, P value <0.001). SAHVAI demonstrated an accuracy of 99.8%, a Dice score of 0.701, a false positive rate of 0.0005, and a negative predictive value of 0.999. The mean absolute error between SAHVAI and manual methods was 5.67 ml. The SAHVAI-3D brain map and total SAHV at admission were strongly associated with neurological outcomes, inversely with Glasgow coma scale (R2=0.23, p=0.017) and directly with length of hospital stay (R2=0.175, p=0.004), especially in regions with dense blood concentration.ConclusionSAHVAI-3D and SAHVAI-4D brain mapping techniques represent innovative imaging biomarkers for SAH. These advancements enable rapid evaluation and targeted interventions, potentially improving patient care in SAH management.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3