Literature DB >> 31026828

Stasis index from hemodynamic analysis using quantitative DSA correlates with hemorrhage of supratentorial arteriovenous malformation: a cross-sectional study.

Te Ming Lin1,2, Huai Che Yang3,2, Cheng Chia Lee3,2, Hsiu Mei Wu1,2, Yong Sin Hu1,2, Chao Bao Luo1,2, Wan Yuo Guo1,2, Yi Hsuan Kao4, Wen Yuh Chung1,3, Chung Jung Lin1,2.   

Abstract

OBJECTIVE: Assessments of hemorrhage risk based on angioarchitecture have yielded inconsistent results, and quantitative hemodynamic studies have been limited to small numbers of patients. The authors examined whether cerebral hemodynamic analysis using quantitative digital subtraction angiography (QDSA) can outperform conventional DSA angioarchitecture analysis in evaluating the risk of hemorrhage associated with supratentorial arteriovenous malformations (AVMs).
METHODS: A cross-sectional study was performed by retrospectively reviewing adult supratentorial AVM patients who had undergone both DSA and MRI studies between 2011 and 2017. Angioarchitecture characteristics, DSA parameters, age, sex, and nidus volume were analyzed using univariate and multivariate logistic regression, and QDSA software analysis was performed on DSA images. Based on the QDSA analysis, a stasis index, defined as the inflow gradient divided by the absolute value of the outflow gradient, was determined. The receiver operating characteristic (ROC) curve was used to compare diagnostic performances of conventional DSA angioarchitecture analysis and analysis using hemodynamic parameters based on QDSA.
RESULTS: A total of 119 supratentorial AVM patients were included. After adjustment for age at diagnosis, sex, and nidus volume, the exclusive deep venous drainage (p < 0.01), observed through conventional angioarchitecture examination using DSA, and the stasis index of the most dominant drainage vein (p = 0.02), measured with QDSA hemodynamic analysis, were independent risk factors for hemorrhage. The areas under the ROC curves for the conventional DSA method (0.75) and QDSA hemodynamics analysis (0.73) were similar. A venous stasis index greater than 2.18 discriminated the hemorrhage group with a sensitivity of 52.6% and a specificity of 81.5%.
CONCLUSIONS: In QDSA, a higher stasis index of the most dominant drainage vein is an objective warning sign associated with supratentorial AVM rupture. Risk assessments of AVMs using QDSA and conventional DSA angioarchitecture were equivalent. Because QDSA is a complementary noninvasive approach without extra radiation or contrast media, comprehensive hemorrhagic risk assessment of cerebral AVMs should include both DSA angioarchitecture and QDSA analyses.

Entities:  

Keywords:  angioarchitecture; cerebral arteriovenous malformation; hemodynamics; hemorrhage; quantitative digital subtraction angiography; transnidal time; vascular disorders

Year:  2019        PMID: 31026828     DOI: 10.3171/2019.1.JNS183386

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  4 in total

1.  Hemodynamic Analysis of Cerebral AVMs with 3D Phase-Contrast MR Imaging.

Authors:  Y Takeda; T Kin; T Sekine; H Hasegawa; Y Suzuki; H Uchikawa; T Koike; S Kiyofuji; Y Shinya; M Kawashima; N Saito
Journal:  AJNR Am J Neuroradiol       Date:  2021-10-07       Impact factor: 3.825

2.  Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs.

Authors:  K H Narsinh; K Mueller; J Nelson; J Massachi; D C Murph; A Z Copelan; S W Hetts; V V Halbach; R T Higashida; A A Abla; M R Amans; C F Dowd; H Kim; D L Cooke
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-29       Impact factor: 3.825

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

Authors:  Yu Chen; Heze Han; Li Ma; Ruinan Li; Zhipeng Li; Debin Yan; Haibin Zhang; Kexin Yuan; Ke Wang; Yang Zhao; Yukun Zhang; Weitao Jin; Runting Li; Fa Lin; Xiangyu Meng; Qiang Hao; Hao Wang; Xun Ye; Shuai Kang; Hengwei Jin; Youxiang Li; Dezhi Gao; Shibin Sun; Ali Liu; Shuo Wang; Xiaolin Chen; Yuanli Zhao
Journal:  Chin Neurosurg J       Date:  2022-10-17

4.  Signal intensity ratio of draining vein on silent MR angiography as an indicator of high-flow arteriovenous shunt in brain arteriovenous malformation.

Authors:  Chun-Xue Wu; Zhen-Xiang Zang; Tao Hong; Meng-Qi Dong; Yi Shan; Zhi-Lian Zhao; Cheng-Bei Hou; Jie Lu
Journal:  Eur Radiol       Date:  2021-07-15       Impact factor: 5.315

  4 in total

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