Literature DB >> 27173363

Peritherapeutic Hemodynamic Changes of Carotid Stenting Evaluated with Quantitative DSA in Patients with Carotid Stenosis.

M M H Teng1, F-C Chang2,3, C-J Lin4,3, L Chiang2, J-S Hong5, Y-H Kao6.   

Abstract

BACKGROUND AND
PURPOSE: Quantitative data from DSA have become important tools for understanding hemodynamic changes of intracranial lesions. In this study, we evaluated 8 hemodynamic parameters in patients before and after carotid artery angioplasty.
MATERIALS AND METHODS: DSA images of 34 patients with carotid stenosis who underwent angioplasty and stent placement were retrospectively analyzed. Eleven ROIs (M1, M2, A1, A2, the parietal vein, superior sagittal sinus, internal jugular vein, and 4 in the ICA) were selected on color-coded DSA. Eight hemodynamic parameters (bolus arrival time, TTP, relative TTP, full width at half maximum, wash-in slope, washout slope, maximum enhancement, and area under the curve) were measured from the time-concentration curves of these ROIs. The dependent t test for paired samples was applied to these parameters before and after stent placement.
RESULTS: We found that the treatment significantly reduced TTP, relative TTP, bolus arrival time, and washout slope at all arterial ROIs and full width at half maximum and area under the curve at some arterial ROIs. Bolus arrival time was significantly reduced after treatment for all arterial ROIs, the parietal vein, and the superior sagittal sinus. The maximum enhancement and wash-in slope did not show significant changes after treatment. After treatment, the relative TTP from the ICA to M1, M2, and the parietal vein returned to normal values.
CONCLUSIONS: In addition to TTP and relative TTP, other parameters can be used to evaluate peritherapeutic cerebral hemodynamic changes. Bolus arrival time has the potential to evaluate brain circulation at arterial and venous sites, especially when TTP cannot be measured because of an incomplete time-concentration curve.
© 2016 by American Journal of Neuroradiology.

Entities:  

Year:  2016        PMID: 27173363      PMCID: PMC7960484          DOI: 10.3174/ajnr.A4813

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


  14 in total

1.  INDICATOR TRANSIT TIME CONSIDERED AS A GAMMA VARIATE.

Authors:  H K THOMPSON; C F STARMER; R E WHALEN; H D MCINTOSH
Journal:  Circ Res       Date:  1964-06       Impact factor: 17.367

2.  Monitoring peri-therapeutic cerebral circulation time: a feasibility study using color-coded quantitative DSA in patients with steno-occlusive arterial disease.

Authors:  C J Lin; S C Hung; W Y Guo; F C Chang; C B Luo; J Beilner; M Kowarschik; W F Chu; C Y Chang
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-12       Impact factor: 3.825

3.  Changes of time-attenuation curve blood flow parameters in patients with and without carotid stenosis.

Authors:  C-J Lin; F-C Chang; W-Y Guo; S-C Hung; C-B Luo; J Beilner; M Kowarschik; W-F Chu
Journal:  AJNR Am J Neuroradiol       Date:  2015-02-26       Impact factor: 3.825

4.  Transcranial Doppler ultrasound criteria for hemodynamically significant internal carotid artery stenosis based on residual lumen diameter calculated from en bloc endarterectomy specimens.

Authors:  U Can; K L Furie; N Suwanwela; J F Southern; N R Macdonald; C S Ogilvy; F S Buonanno; W J Koroshetz; J P Kistler
Journal:  Stroke       Date:  1997-10       Impact factor: 7.914

5.  Color intensity projection of digitally subtracted angiography for the visualization of brain arteriovenous malformations.

Authors:  Keith S Cover; Frank J Lagerwaard; René van den Berg; Dennis R Buis; Ben J Slotman
Journal:  Neurosurgery       Date:  2007-03       Impact factor: 4.654

6.  Parametric color coding of digital subtraction angiography.

Authors:  C M Strother; F Bender; Y Deuerling-Zheng; K Royalty; K A Pulfer; J Baumgart; M Zellerhoff; B Aagaard-Kienitz; D B Niemann; M L Lindstrom
Journal:  AJNR Am J Neuroradiol       Date:  2010-02-18       Impact factor: 3.825

7.  New grading of moyamoya disease using color-coded parametric quantitative digital subtraction angiography.

Authors:  Sheng-Che Hung; Muh-Lii Liang; Chun-Fu Lin; Chung-Jung Lin; Wan-Yuo Guo; Feng-Chi Chang; Tai-Tong Wong; Cheng-Yen Chang
Journal:  J Chin Med Assoc       Date:  2014-07-12       Impact factor: 2.743

8.  Evaluation of intraaneurysmal blood velocity by time-density curve analysis and digital subtraction angiography.

Authors:  H Tenjin; F Asakura; Y Nakahara; K Matsumoto; T Matsuo; F Urano; S Ueda
Journal:  AJNR Am J Neuroradiol       Date:  1998-08       Impact factor: 3.825

9.  Stenotic transverse sinus predisposes to poststenting hyperperfusion syndrome as evidenced by quantitative analysis of peritherapeutic cerebral circulation time.

Authors:  C-J Lin; F-C Chang; F-Y Tsai; W-Y Guo; S-C Hung; D Y-T Chen; C-H Lin; C-Y Chang
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-16       Impact factor: 3.825

10.  Parametric color coding of digital subtraction angiography in the evaluation of carotid cavernous fistulas.

Authors:  P Gölitz; T Struffert; H Lücking; J Rösch; F Knossalla; O Ganslandt; Y Deuerling-Zheng; A Doerfler
Journal:  Clin Neuroradiol       Date:  2012-12-14       Impact factor: 3.649

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  3 in total

1.  Automatic flow analysis of digital subtraction angiography using independent component analysis in patients with carotid stenosis.

Authors:  Han-Jui Lee; Jia-Sheng Hong; Chung-Jung Lin; Yi-Hsuan Kao; Feng-Chi Chang; Chao-Bao Luo; Wei-Fa Chu
Journal:  PLoS One       Date:  2017-09-26       Impact factor: 3.240

2.  Assessment of small hepatocellular carcinoma: perfusion quantification and time-concentration curve evaluation using color-coded and quantitative digital subtraction angiography.

Authors:  Chien-Wei Chen; Li-Sheng Hsu; Jun-Cheng Weng; Hsu-Huei Weng; Yu-Ling Ye; Sheng-Lung Hsu; Wei-Ming Lin
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.817

3.  Carotid webs produce greater hemodynamic disturbances than atherosclerotic disease: a DSA time-density curve study.

Authors:  Charlie C Park; Retta El Sayed; Benjamin B Risk; Diogo C Haussen; Raul G Nogueira; John N Oshinski; Jason W Allen
Journal:  J Neurointerv Surg       Date:  2021-07-27       Impact factor: 8.572

  3 in total

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