Literature DB >> 26680463

Quantitative Assessment of Neovascularization after Indirect Bypass Surgery: Color-Coded Digital Subtraction Angiography in Pediatric Moyamoya Disease.

H-H Cho1, J-E Cheon2, S-K Kim3, Y H Choi4, I-O Kim5, W S Kim5, S-M Lee1, S K You1, S-M Shin6.   

Abstract

BACKGROUND AND
PURPOSE: For the postoperative follow-up in pediatric patients with Moyamoya disease, it is essential to evaluate the degree of neovascularization status. Our aim was to quantitatively assess the neovascularization status after bypass surgery in pediatric Moyamoya disease by using color-coded digital subtraction angiography.
MATERIALS AND METHODS: Time-attenuation intensity curves were generated at ROIs corresponding to surgical flap sites from color-coded DSA images of the common carotid artery, internal carotid artery, and external carotid artery angiograms obtained pre- and postoperatively in 32 children with Moyamoya disease. Time-to-peak and area under the curve values were obtained. Postoperative changes in adjusted time-to-peak (ΔTTP) and ratios of adjusted area under the curve changes (ΔAUC ratio) of common carotid artery, ICA, and external carotid artery angiograms were compared across clinical and angiographic outcome groups. To analyze diagnostic performance, we categorized clinical outcomes into favorable and unfavorable groups.
RESULTS: The ΔTTP at the common carotid artery increased among clinical and angiographic outcomes, in that order, with significant differences (P = .003 and .005, respectively). The ΔAUC ratio at the common carotid artery and external carotid artery also increased, in that order, among clinical and angiographic outcomes with a significant difference (all, P = .000). The ΔAUC ratio of ICA showed no significant difference among clinical and angiographic outcomes (P = .418 and .424, respectively). The ΔTTP for the common carotid artery of >1.27 seconds and the ΔAUC ratio of >33.5% for the common carotid artery and 504% for the external carotid artery are revealed as optimal cutoff values between favorable and unfavorable groups.
CONCLUSIONS: Postoperative changes in quantitative values obtained with color-coded DSA software showed a significant correlation with outcome scores and can be used as objective parameters for predicting the outcome in pediatric Moyamoya disease, with an additional cutoff value calculated through the receiver operating characteristic curve.
© 2016 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26680463      PMCID: PMC7960316          DOI: 10.3174/ajnr.A4614

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  33 in total

1.  [Diagnostic value of perfusion-weighted MRI for evaluating postoperative alteration of cerebral hemodynamics following STA-MCA anastomosis in patients with moyamoya disease].

Authors:  Mild Fujimura; Shunji Mugikura; Hiroaki Shimizu; Teiji Tominaga
Journal:  No Shinkei Geka       Date:  2006-08

Review 2.  Moyamoya disease: current concepts and future perspectives.

Authors:  Satoshi Kuroda; Kiyohiro Houkin
Journal:  Lancet Neurol       Date:  2008-11       Impact factor: 44.182

3.  Combined encephaloduroarteriosynangiosis and bifrontal encephalogaleo(periosteal)synangiosis in pediatric moyamoya disease.

Authors:  Seung-Ki Kim; Kyu-Chang Wang; In-One Kim; Dong Soo Lee; Byung-Kyu Cho
Journal:  Neurosurgery       Date:  2002-01       Impact factor: 4.654

4.  Surgical treatment of moyamoya disease: operative technique for encephalo-duro-arterio-myo-synangiosis, its follow-up, clinical results, and angiograms.

Authors:  K Kinugasa; S Mandai; I Kamata; K Sugiu; T Ohmoto
Journal:  Neurosurgery       Date:  1993-04       Impact factor: 4.654

5.  Moyamoya disease--a review.

Authors:  J Suzuki; N Kodama
Journal:  Stroke       Date:  1983 Jan-Feb       Impact factor: 7.914

6.  Pediatric moyamoya disease: An analysis of 410 consecutive cases.

Authors:  Seung-Ki Kim; Byung-Kyu Cho; Ji Hoon Phi; Ji Yeoun Lee; Jong Hee Chae; Ki Joong Kim; Yong-Seung Hwang; In-One Kim; Dong Soo Lee; Joongyub Lee; Kyu-Chang Wang
Journal:  Ann Neurol       Date:  2010-07       Impact factor: 10.422

7.  Surgical treatment of moyamoya disease in pediatric patients--comparison between the results of indirect and direct revascularization procedures.

Authors:  T Matsushima; T Inoue; S O Suzuki; K Fujii; M Fukui; K Hasuo
Journal:  Neurosurgery       Date:  1992-09       Impact factor: 4.654

8.  Neoangiogenesis in association with moyamoya syndrome shown by estimation of relative recirculation based on dynamic contrast-enhanced MR images.

Authors:  Andrea Kassner; Xiao-Ping Zhu; Kah-Lo Li; Alan Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2003-05       Impact factor: 3.825

9.  Childhood moyamoya disease: quantitative evaluation of perfusion MR imaging--correlation with clinical outcome after revascularization surgery.

Authors:  Tae Jin Yun; Jung-Eun Cheon; Dong Gyu Na; Woo Sun Kim; In-One Kim; Kee-Hyun Chang; Kyung Mo Yeon; In Chan Song; Kyu-Chang Wang
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

10.  Moyamoya disease among young patients: its aggressive clinical course and the role of active surgical treatment.

Authors:  Seung-Ki Kim; Ho Jun Seol; Byung-Kyu Cho; Yong-Seung Hwang; Dong Soo Lee; Kyu-Chang Wang
Journal:  Neurosurgery       Date:  2004-04       Impact factor: 4.654

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  5 in total

Review 1.  Imaging methods for surgical revascularization in patients with moyamoya disease: an updated review.

Authors:  Lanxin Du; Hanyu Jiang; Jin Li; Ting Duan; Chenyun Zhou; Feng Yan
Journal:  Neurosurg Rev       Date:  2021-08-21       Impact factor: 2.800

2.  Color Doppler ultrasonography as an alternative tool for postoperative evaluation of collaterals after indirect revascularization surgery in Moyamoya disease.

Authors:  Shin-Joe Yeh; Sung-Chun Tang; Li-Kai Tsai; Chung-Wei Lee; Ya-Fang Chen; Hon-Man Liu; Shih-Hung Yang; Meng-Fai Kuo; Jiann-Shing Jeng
Journal:  PLoS One       Date:  2017-12-08       Impact factor: 3.240

3.  Color-coded summation images for the evaluation of blood flow in endovascular aortic dissection fenestration.

Authors:  Anne Marie Augustin; Franziska Wolfschmidt; Thilo Elsässer; Alexander Sauer; Alexander Dierks; Thorsten Alexander Bley; Ralph Kickuth
Journal:  BMC Med Imaging       Date:  2022-02-04       Impact factor: 1.930

4.  Quantitative angiographic haemodynamic evaluation of bypasses for complex aneurysms: a preliminary study.

Authors:  Junlin Lu; Chao Xue; Xulin Hu; Yuanli Zhao; Dong Zhang; Xiaolin Chen; Ji Zong Zhao
Journal:  Stroke Vasc Neurol       Date:  2021-10-12

5.  Quantitative Angiographic Hemodynamic Evaluation After Revascularization Surgery for Moyamoya Disease.

Authors:  Yu Chen; Li Ma; Shuo Yang; Jan-Karl Burkhardt; Junlin Lu; Xun Ye; Weijian Jiang; Zeguang Ren; Rong Wang; Xiaolin Chen; Yuanli Zhao
Journal:  Transl Stroke Res       Date:  2020-02-13       Impact factor: 6.800

  5 in total

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