亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The feasibility of dual-energy CT to predict the probability of symptomatic intracerebral haemorrhage after successful mechanical thrombectomy

医学 脑出血 逻辑回归 放射科 双重能量 冲程(发动机) 曲线下面积 外科 内科学 格拉斯哥昏迷指数 机械工程 工程类 骨质疏松症 骨矿物
作者
Chun Ma,Q. Hui,Xin Gao,De-Hao Xu,Bo Tang,Min Pen,Su Lui,X. Chen
出处
期刊:Clinical Radiology [Elsevier]
卷期号:76 (4): 316.e9-316.e18 被引量:7
标识
DOI:10.1016/j.crad.2020.12.013
摘要

•Patients with symptomatic intracerebral hemorrhage experienced poor outcomes.•Our model was developed based on dual-energy CT parameters.•This model was efficient for the prediction of symptomatic intracerebral hemorrhage. AIMTo study the ability of dual-energy computed tomography (DECT) after successful mechanical thrombectomy (MT) to predict symptomatic intracerebral haemorrhage (sICH) in anterior circulation acute ischaemic stroke (AIS).MATERIALS AND METHODSFrom June 2018 to February 2020, 102 AIS patients with DECT performed immediately after successful MT were enrolled prospectively. According to the presence of iodine contrast media extravasation (ICME) on DECT and subsequent sICH development, patients were classified into four groups. The neurological outcome was compared among groups. Imaging parameters, together with clinical factors, were investigated for sICH prediction based on a linear logistic regression model after class-imbalance resolved by Synthetic Minority Sampling Technique (SMOTE) method.RESULTSAmong 102 patients, patients (14.7%, 15/102) with the presence of sICH experienced worse outcomes than others without sICH (p<0.001). No case without ICME was observed with sICH development (0/102). The parameters derived from DECT have excellent performance for sICH prediction after successful MT, which is better than clinical predictive model boosted data (area under the curve [AUC]: DECT 0.87 versus clinical prediction 0.65), cross-validation results (AUC: DECT 0.87 versus clinical prediction 0.65), and original data (AUC: DECT 0.85 versus clinical prediction 0.68). By combining clinical and radiological parameters, the predictive performance for sICH could be further improved with an AUC of 0.90 (95% CI: 0.85–0.96).CONCLUSIONSBased on DECT parameters acquired immediately after successful MT, the present model was more efficient than the clinical model for accurate prediction of sICH. Rho and ICME volume appeared to be the best parameters for predicting sICH using DECT. To study the ability of dual-energy computed tomography (DECT) after successful mechanical thrombectomy (MT) to predict symptomatic intracerebral haemorrhage (sICH) in anterior circulation acute ischaemic stroke (AIS). From June 2018 to February 2020, 102 AIS patients with DECT performed immediately after successful MT were enrolled prospectively. According to the presence of iodine contrast media extravasation (ICME) on DECT and subsequent sICH development, patients were classified into four groups. The neurological outcome was compared among groups. Imaging parameters, together with clinical factors, were investigated for sICH prediction based on a linear logistic regression model after class-imbalance resolved by Synthetic Minority Sampling Technique (SMOTE) method. Among 102 patients, patients (14.7%, 15/102) with the presence of sICH experienced worse outcomes than others without sICH (p<0.001). No case without ICME was observed with sICH development (0/102). The parameters derived from DECT have excellent performance for sICH prediction after successful MT, which is better than clinical predictive model boosted data (area under the curve [AUC]: DECT 0.87 versus clinical prediction 0.65), cross-validation results (AUC: DECT 0.87 versus clinical prediction 0.65), and original data (AUC: DECT 0.85 versus clinical prediction 0.68). By combining clinical and radiological parameters, the predictive performance for sICH could be further improved with an AUC of 0.90 (95% CI: 0.85–0.96). Based on DECT parameters acquired immediately after successful MT, the present model was more efficient than the clinical model for accurate prediction of sICH. Rho and ICME volume appeared to be the best parameters for predicting sICH using DECT.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
8秒前
zzx完成签到,获得积分10
18秒前
852应助科研通管家采纳,获得10
18秒前
充电宝应助12采纳,获得10
19秒前
37秒前
12发布了新的文献求助10
42秒前
金金金完成签到,获得积分10
47秒前
53秒前
cool完成签到,获得积分20
55秒前
yuaner发布了新的文献求助10
58秒前
yuaner完成签到,获得积分10
1分钟前
不辣的完成签到 ,获得积分10
1分钟前
cool发布了新的文献求助10
1分钟前
12完成签到,获得积分10
1分钟前
风华正茂发布了新的文献求助10
1分钟前
1分钟前
汪洋完成签到,获得积分10
1分钟前
2分钟前
Ava应助科研通管家采纳,获得10
2分钟前
SciGPT应助科研通管家采纳,获得10
2分钟前
早晚完成签到 ,获得积分10
2分钟前
霸气的亿先完成签到 ,获得积分10
2分钟前
cy0824完成签到 ,获得积分10
2分钟前
2分钟前
柠檬精翠翠完成签到 ,获得积分10
2分钟前
yuaner发布了新的文献求助10
2分钟前
yayee完成签到,获得积分10
3分钟前
3分钟前
3分钟前
3分钟前
嗨Honey完成签到 ,获得积分10
3分钟前
4分钟前
4分钟前
4分钟前
jeronimo完成签到,获得积分10
4分钟前
ktw完成签到,获得积分10
4分钟前
4分钟前
慷慨大方完成签到,获得积分10
4分钟前
聪慧小燕发布了新的文献求助10
4分钟前
高分求助中
Востребованный временем 2500
诺贝尔奖与生命科学 2000
Les Mantodea de Guyane 1000
Aspects of Babylonian celestial divination: the lunar eclipse tablets of Enūma Anu Enlil 1000
Very-high-order BVD Schemes Using β-variable THINC Method 910
The Three Stars Each: The Astrolabes and Related Texts 500
Separation and Purification of Oligochitosan Based on Precipitation with Bis(2-ethylhexyl) Phosphate Anion, Re-Dissolution, and Re-Precipitation as the Hydrochloride Salt 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3381285
求助须知:如何正确求助?哪些是违规求助? 2996195
关于积分的说明 8767756
捐赠科研通 2681438
什么是DOI,文献DOI怎么找? 1468532
科研通“疑难数据库(出版商)”最低求助积分说明 679009
邀请新用户注册赠送积分活动 671111