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786 results on '"Zhao, Yuanli"'

1. Treatment of Intracranial Vertebral Artery Dissecting Aneurysms Using Pipeline Embolization Devices: A Multicenter Cohort Study

Author

Zhang, Ying, Zhang, Fujunhui, Turhon, Mirzat, Huang, Jiliang, Li, Mengxing, Peng, Qichen, Zheng, Zhaoxu, Liu, Jian, Zhang, Yisen, Liu, Jianmin, Zhang, Hongqi, Li, Tianxiao, Song, Donglei, Zhao, Yuanli, Aisha, Maimaitili, Wang, Yunyan, Feng, Wenfeng, Wang, Yang, Wan, Jieqing, Mao, Guohua, Shi, Huaizhang, and Guan, Sheng

Published
2023
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2. Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan

Author

Zhao, Meng, Hu, Yifan, Jiang, Ruixuan, Zhao, Yuanli, Zhang, Dong, Zhang, Yan, Wang, Rong, Cao, Yong, Zhang, Qian, Ma, Yonggang, Li, Jiaxi, Yu, Shaochen, Li, Wenjie, Zhang, Ran, Zheng, Yefeng, Wang, Shuo, and Zhao, Jizong

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Background: To develop an artificial intelligence system that can accurately identify acute non-traumatic intracranial hemorrhage (ICH) etiology based on non-contrast CT (NCCT) scans and investigate whether clinicians can benefit from it in a diagnostic setting. Materials and Methods: The deep learning model was developed with 1868 eligible NCCT scans with non-traumatic ICH collected between January 2011 and April 2018. We tested the model on two independent datasets (TT200 and SD 98) collected after April 2018. The model's diagnostic performance was compared with clinicians's performance. We further designed a simulated study to compare the clinicians's performance with and without the deep learning system augmentation. Results: The proposed deep learning system achieved area under the receiver operating curve of 0.986 (95% CI 0.967-1.000) on aneurysms, 0.952 (0.917-0.987) on hypertensive hemorrhage, 0.950 (0.860-1.000) on arteriovenous malformation (AVM), 0.749 (0.586-0.912) on Moyamoya disease (MMD), 0.837 (0.704-0.969) on cavernous malformation (CM), and 0.839 (0.722-0.959) on other causes in TT200 dataset. Given a 90% specificity level, the sensitivities of our model were 97.1% and 90.9% for aneurysm and AVM diagnosis, respectively. The model also shows an impressive generalizability in an independent dataset SD98. The clinicians achieve significant improvements in the sensitivity, specificity, and accuracy of diagnoses of certain hemorrhage etiologies with proposed system augmentation. Conclusions: The proposed deep learning algorithms can be an effective tool for early identification of hemorrhage etiologies based on NCCT scans. It may also provide more information for clinicians for triage and further imaging examination selection.

Published
2023

3. Recurrence of Cerebral Arteriovenous Malformation Following Complete Obliteration Through Endovascular Embolization

Author

Hao, Qiang, Zhang, Haibin, Han, Heze, Jin, Hengwei, Ma, Li, Li, Ruinan, Li, Zhipeng, Li, Anqi, Yuan, Kexin, Zhu, Qinghui, Wang, Ke, Li, Runting, Lin, Fa, Wang, Chengzhuo, Zhang, Yukun, Zhang, Hongwei, Zhao, Yang, Jin, Weitao, Gao, Dezhi, Guo, Geng, Yan, Debin, Pu, Jun, Kang, Shuai, Ye, Xun, Li, Youxiang, Sun, Shibin, Wang, Hao, Chen, Yu, Chen, Xiaolin, and Zhao, Yuanli

Published
2023
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4. Comparison of Long-Term Outcomes in Ruptured Diffuse Brain Arteriovenous Malformations Between Interventional Therapy and Conservative Management

Author

Lu, Changyu, Han, Heze, Ma, Li, Li, Ruinan, Li, Zhipeng, Zhang, Haibin, Yuan, Kexin, Zhang, Yukun, Li, Anqi, Wang, Ke, Zhao, Yang, Jin, Weitao, Gao, Dezhi, Jin, Hengwei, Meng, Xiangyu, Yan, Debin, Li, Runting, Lin, Fa, Hao, Qiang, Wang, Hao, Ye, Xun, Kang, Shuai, Pu, Jun, Shi, Zhiyong, Chao, Xiaofeng, Lin, Zhengfeng, Lu, Junlin, Li, Youxiang, Zhao, Yuanli, Sun, Shibin, Chen, Xiaolin, Chen, Weiwei, Chen, Yu, and Wang, Shuo

Published
2023
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14. A 90-Day Prognostic Model Based on the Early Brain Injury Indicators after Aneurysmal Subarachnoid Hemorrhage: the TAPS Score

Author

Li, Runting, Lin, Fa, Chen, Yu, Lu, Junlin, Han, Heze, Ma, Li, Zhao, Yahui, Yan, Debin, Li, Ruinan, Yang, Jun, He, Shihao, Li, Zhipeng, Zhang, Haibin, Yuan, Kexin, Wang, Ke, Hao, Qiang, Ye, Xun, Wang, Hao, Li, Hongliang, Zhang, Linlin, Shi, Guangzhi, Zhou, Jianxin, Zhao, Yang, Zhang, Yukun, Li, Youxiang, Wang, Shuo, Chen, Xiaolin, and Zhao, Yuanli

Published
2023
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17. Correction to: Comparison of Long‑Term Outcomes in Ruptured Diffuse Brain Arteriovenous Malformations Between Interventional Therapy and Conservative Management

Author

Lu, Changyu, Han, Heze, Ma, Li, Li, Ruinan, Li, Zhipeng, Zhang, Haibin, Yuan, Kexin, Zhang, Yukun, Li, Anqi, Wang, Ke, Zhao, Yang, Jin, Weitao, Gao, Dezhi, Jin, Hengwei, Meng, Xiangyu, Yan, Debin, Li, Runting, Lin, Fa, Hao, Qiang, Wang, Hao, Ye, Xun, Kang, Shuai, Pu, Jun, Shi, Zhiyong, Chao, Xiaofeng, Lin, Zhengfeng, Lu, Junlin, Li, Youxiang, Zhao, Yuanli, Sun, Shibin, Chen, Xiaolin, Chen, Weiwei, Chen, Yu, and Wang, Shuo

Published
2024
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28. The effect of sex differences on complications and 90-day outcomes after aneurysmal subarachnoid hemorrhage: a propensity score-matched analysis

Author

Li, Runting, Lin, Fa, Chen, Yu, Lu, Junlin, Yang, Jun, Han, Heze, Yuan, Kexin, Wang, Ke, Yan, Debin, Li, Ruinan, He, Shihao, Li, Zhipeng, Zhang, Haibin, Chen, Xiheng, Ma, Li, Zhao, Yahui, Hao, Qiang, Ye, Xun, Wang, Hao, Li, Hongliang, Zhang, Linlin, Shi, Guangzhi, Zhou, Jianxin, Li, Youxiang, Wang, Shuo, Chen, Xiaolin, and Zhao, Yuanli

Published
2022
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31. Elevated blood hemoglobin on admission as an independent predictor of unfavorable outcomes in patients with aneurysmal subarachnoid hemorrhage

Author

Li, Runting, Lin, Fa, Chen, Yu, Lu, Junlin, Han, Heze, Ma, Li, Zhao, Yahui, Yan, Debin, Li, Ruinan, Yang, Jun, He, Shihao, Li, Zhipeng, Zhang, Haibin, Yuan, Kexin, Wang, Ke, Hao, Qiang, Ye, Xun, Wang, Hao, Li, Hongliang, Zhang, Linlin, Shi, Guangzhi, Zhou, Jianxin, Zhao, Yang, Zhang, Yukun, Li, Youxiang, Wang, Shuo, Chen, Xiaolin, and Zhao, Yuanli

Published
2022
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36. Overloaded transnidal pressure gradient as the hemodynamic mechanism leading to arteriovenous malformation rupture: a quantitative analysis using intravascular pressure monitoring and color-coded digital subtraction angiography

Author

Zhang, Yukun, primary, Chen, Yu, additional, Li, Ruinan, additional, Ma, Li, additional, Han, Heze, additional, Li, Zhipeng, additional, Zhang, Haibin, additional, Yuan, Kexin, additional, Zhao, Yang, additional, Jin, Weitao, additional, Chen, Pingting, additional, Zhou, Wanting, additional, Ye, Xun, additional, Li, Youxiang, additional, Wang, Shuo, additional, Chen, Xiaolin, additional, and Zhao, Yuanli, additional

Published
2024
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37. Risk factors for delayed postoperative hemorrhage in patients with brain arteriovenous malformations: an analysis of the nationwide multicenter prospective registry MATCH study

Author

Yan, Debin, primary, Yuan, Kexin, additional, Chen, Yu, additional, Zheng, Kaihong, additional, Han, Heze, additional, Li, Zhipeng, additional, Zhang, Haibin, additional, Li, Ruinan, additional, Wang, Ke, additional, Zhang, Yukun, additional, Chen, Xiaolin, additional, and Zhao, Yuanli, additional

Published
2024
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38. Multimodality treatment for brain arteriovenous malformation in Mainland China: design, rationale, and baseline patient characteristics of a nationwide multicenter prospective registry

Author

Chen, Yu, Han, Heze, Ma, Li, Li, Ruinan, Li, Zhipeng, Yan, Debin, Zhang, Haibin, Yuan, Kexin, Wang, Ke, Zhao, Yang, Zhang, Yukun, Jin, Weitao, Li, Runting, Lin, Fa, Meng, Xiangyu, Hao, Qiang, Wang, Hao, Ye, Xun, Kang, Shuai, Jin, Hengwei, Li, Youxiang, Gao, Dezhi, Sun, Shibin, Liu, Ali, Wang, Shuo, Chen, Xiaolin, and Zhao, Yuanli

Published
2022
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41. Higher Flow Is Present in Unruptured Arteriovenous Malformations With Silent Intralesional Microhemorrhages.

Author

Chen, Xiaolin, Cooke, Daniel L, Saloner, David, Nelson, Jeffrey, Su, Hua, Lawton, Michael T, Hess, Christopher, Tihan, Tarik, Zhao, Yuanli, and Kim, Helen

Subjects
Humans, Intracranial Arteriovenous Malformations, Cerebral Hemorrhage, Angiography, Digital Subtraction, Blood Flow Velocity, Retrospective Studies, Adolescent, Adult, Middle Aged, Female, Male, Microvessels, Young Adult, angiography, arteries, hemodynamics, hemosiderin, vascular disease, Neurosciences, Pediatric, Clinical Research, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurology & Neurosurgery
Abstract

Background and purposeSilent microhemorrhage (hemosiderin) has been observed in resected brain arteriovenous malformations (bAVM) tissue and may represent a subgroup at increased risk for clinical hemorrhage. Previous studies suggest that ruptured bAVMs have faster flow and shorter mean transit time of contrast in blood vessels than unruptured bAVMs. We hypothesized that flow would be faster in unruptured AVMs with hemosiderin compared with those without hemosiderin.MethodsWe selected unruptured, supratentorial bAVMs >3.5 cc with pathology specimens. Hemodynamic features were evaluated using color-coding angiography, including contrast mean transit time of AVM nidus, time to peak (TTP) of feeding artery (FA) and draining vein (DV), and the ratio (TTP DV/FA). Characteristics of 9 cases with hemosiderin and 16 without hemosiderin were compared using 2-sample t tests and Fisher exact tests.ResultsNo difference in FA TTP and DV TTP was observed between groups. However, cases with hemosiderin had significantly shorter mean transit time compared with those without hemosiderin (1.11±0.28 versus 1.64±0.55 seconds; P=0.013) and a lower ratio of DV TTP/FA TTP (1.48±0.32 versus 1.94±0.61; P=0.045). Presence of venous varix was significantly associated with hemosiderin (P=0.003). No other clinical or angioarchitectural factors were associated with hemosiderin.ConclusionsShorter mean transit time through the AVM nidus, lower DV TTP/FA TTP, and the high prevalence of venous varices suggests that high flow is an important feature of unruptured bAVMs with hemosiderin.

Published
2017

43. Timing of microsurgical resection for ruptured brain arteriovenous malformations: a propensity score–matched analysis using prospective single-center registry data

Author

Zhang, Yukun, primary, Chen, Yu, additional, Han, Heze, additional, Ma, Li, additional, Li, Ruinan, additional, Li, Zhipeng, additional, Yan, Debin, additional, Zhang, Haibin, additional, Yuan, Kexin, additional, Wang, Ke, additional, Zhao, Yang, additional, Jin, Weitao, additional, Jin, Hengwei, additional, Meng, Xiangyu, additional, Li, Runting, additional, Lin, Fa, additional, Hao, Qiang, additional, Wang, Hao, additional, Ye, Xun, additional, Kang, Shuai, additional, Gao, Dezhi, additional, Sun, Shibin, additional, Liu, Ali, additional, Li, Youxiang, additional, Chen, Xiaolin, additional, Wang, Shuo, additional, and Zhao, Yuanli, additional

Published
2024
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48. Morbidity after Hemorrhage in Children with Untreated Brain Arteriovenous Malformation

Author

Ma, Li, Kim, Helen, Chen, Xiao-Lin, Wu, Chun-Xue, Ma, Jun, Su, Hua, and Zhao, Yuanli

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Neurosciences, Pediatric, Congenital Structural Anomalies, Patient Safety, Adolescent, Age Factors, Chi-Square Distribution, Child, Child, Preschool, Databases, Factual, Disability Evaluation, Female, Hematoma, Humans, Infant, Intracranial Arteriovenous Malformations, Intracranial Hemorrhages, Logistic Models, Male, Multivariate Analysis, Nomograms, Odds Ratio, Prognosis, Risk Assessment, Risk Factors, Severity of Illness Index, Arteriovenous malformation, Morbidity, Risk assessment, Neurology & Neurosurgery, Clinical sciences
Abstract

BackgroundChildren with untreated brain arteriovenous malformations (bAVM) are at risk of encountering life-threatening hemorrhage very early in their lives. The primary aim of invasive treatment is to reduce unfavorable outcome associated with a bAVM rupture. A better understanding of the morbidity of bAVM hemorrhage might be helpful for weighing the risks of untreated bAVM and invasive treatment. Our aim was to assess the clinical outcome after bAVM rupture and identify features to predict severe hemorrhage in children.MethodsWe identified all consecutive children admitted to our institution for bAVMs between July 2009 and December 2014. Clinical outcome after hemorrhagic presentation and subsequent hemorrhage was evaluated using the modified Rankin Scale (mRS) for children. The association of demographic characteristics and bAVM morphology with severe hemorrhage (mRS >3 or requiring emergency hematoma evacuation) was studied using univariate and multivariable regression analyses. A nomogram based on multivariable analysis was formulated to predict severe hemorrhage risk for individual patients.ResultsA total of 134 patients were identified with a mean treatment-free follow-up period of 2.1 years. bAVM ruptured in 83 (62%) children: 82 had a hemorrhage at presentation and 6 of them experienced a recurrent hemorrhage during follow-up; 1 patient had other diagnostic symptoms but bled during follow-up. Among them, 49% (41/83) had a severe hemorrhage; emergency hematoma evacuation was required in 28% of them (23/83), and 24% (20/83) remained as disabled (mRS ≥3) at last follow-up. Forty-six percent (38/82) of children with hemorrhagic presentation were severely disabled (mRS >3). Forty-three percent (3/7) were severely disabled after subsequent hemorrhage. The annual rate of severe subsequent hemorrhage was 1% in the overall cohort and 3.3% in children with ruptured presentation. All the subsequent severe hemorrhage events occurred in children with severe hemorrhage history (7%, 3/41). Periventricular location, non-temporal lobe location, and long draining vein were predictors for severe hemorrhage in pediatric untreated bAVMs. A nomogram based on bAVM morphology was contracted to predict severe hemorrhage risk for individual patients, which was well calibrated and had a good discriminative ability (adjusted C-statistic, 0.72).ConclusionsEvaluating bAVM morbidity and morphology might be helpful for weighing the risks of untreated bAVM in pediatric patients.

Published
2017

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