Literature DB >> 31019105

Collateral blood flow measurement with intravoxel incoherent motion perfusion imaging in hyperacute brain stroke.

Christian Federau1, Max Wintermark2, Soren Christensen2, Michael Mlynash2, David G Marcellus2, Guangming Zhu2, Blake W Martin2, Maarten G Lansberg2, Gregory W Albers2, Jeremy J Heit2.   

Abstract

OBJECTIVE: To determine if intravoxel incoherent motion (IVIM) magnetic resonance perfusion can measure the quality of the collateral blood flow in the penumbra in hyperacute stroke.
METHODS: A 6 b values IVIM MRI sequence was acquired in stroke patients with large vessel occlusion imaged <16 hours of last seen well. IVIM perfusion measures were evaluated in regions of interest drawn in the infarct core (D < 600 mm2/s), in the corresponding region in the contralateral hemisphere, and in the dynamic susceptibility contrast penumbra. In patients with a penumbra >15 mL, images were reviewed for the presence of a penumbra perfusion lesion on the IVIM f map, which was correlated with infarct size metrics. Statistical significance was tested using Student t test, Mann-Whitney U test, and Fisher exact test.
RESULTS: A total of 34 patients were included. In the stroke core, IVIM f was significantly lower (4.6 ± 3.3%) compared to the healthy contralateral region (6.3 ± 2.2%, p < 0.001). In the 25 patients with a penumbra >15 mL, 9 patients had an IVIM penumbra perfusion lesion (56 ± 76 mL), and 16 did not. Patients with an IVIM penumbra perfusion lesion had a larger infarct core (82 ± 84 mL) at baseline, a larger infarct growth (68 ± 40 mL), and a larger final infarct size (126 ± 81 mL) on follow-up images compared to the patients without (resp. 20 ± 17 mL, p < 0.05; 13 ± 19 mL, p < 0.01; 29 ± 24 mL, p < 0.05). All IVIM penumbra perfusion lesions progressed to infarction despite thrombectomy treatment.
CONCLUSIONS: IVIM is a promising tool to assess the quality of the collateral blood flow in hyperacute stroke. IVIM penumbra perfusion lesion may be a marker of nonsalvageable tissue despite treatment with thrombectomy, suggesting that the IVIM penumbra perfusion lesion might be counted to the stroke core, together with the DWI lesion.
© 2019 American Academy of Neurology.

Entities:  

Year:  2019        PMID: 31019105     DOI: 10.1212/WNL.0000000000007538

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  6 in total

1.  Interobserver Reliability on Intravoxel Incoherent Motion Imaging in Patients with Acute Ischemic Stroke.

Authors:  K Yamashita; R Kamei; H Sugimori; T Kuwashiro; S Tokunaga; K Kawamata; K Furuya; S Harada; J Maehara; Y Okada; T Noguchi
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-21       Impact factor: 3.825

2.  Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease.

Authors:  Nengzhi Xia; Yanxuan Li; Yingnan Xue; Weikang Li; Zhenhua Zhang; Caiyun Wen; Jiance Li; Qiong Ye
Journal:  Brain Imaging Behav       Date:  2021-09-04       Impact factor: 3.978

3.  Intravoxel Incoherent Motion Model in Differentiating the Pathological Grades of Esophageal Carcinoma: Comparison of Mono-Exponential and Bi-Exponential Fit Model.

Authors:  Nian Liu; Xiongxiong Yang; Lixing Lei; Ke Pan; Qianqian Liu; Xiaohua Huang
Journal:  Front Oncol       Date:  2021-04-12       Impact factor: 6.244

4.  Association of cerebral microvascular perfusion and diffusion dynamics detected by intravoxel incoherent motion-diffusion weighted imaging with initial neurological function and clinical outcome in acute ischemic stroke.

Authors:  Fei Chen; Zhenyu Dai; Lizheng Yao; Congsong Dong; Haicun Shi; Weiqiang Dou; Wei Xing
Journal:  PeerJ       Date:  2021-09-16       Impact factor: 2.984

5.  Intravoxel Incoherent Motion Diffusion-Weighted Imaging and 3D-ASL to Assess the Value of Ki-67 Labeling Index and Grade in Glioma.

Authors:  Jian Zhou; Huafeng Li; Xiaoming Ma; Miao Jin; Xin Meng; Guangfeng Zhang
Journal:  Scanning       Date:  2022-08-31       Impact factor: 1.750

6.  A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images.

Authors:  Alfonso Mastropietro; Daniel Procissi; Elisa Scalco; Giovanna Rizzo; Nicola Bertolino
Journal:  NMR Biomed       Date:  2022-06-06       Impact factor: 4.478

  6 in total

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