Infarct growth patterns may vary in acute stroke due to large vessel occlusion and recanalization with endovascular therapy

Objectives This study aimed to investigate infarct growth patterns in stroke patients with large vessel occlusion (LVO) and successful recanalization by endovascular therapy (EVT). Methods A total of 135 patients with LVO of the internal carotid artery or proximal segment of the middle cerebral arte...

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Published inEuropean radiology Vol. 30; no. 12; pp. 6432 - 6440
Main Authors Gwak, Dong-Seok, Park, Hong-Kyun, Jung, Cheolkyu, Kim, Jae Hyoung, Lee, Juneyoung, Kim, Beom Joon, Han, Moon-Ku, Bae, Hee-Joon
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
Springer Nature B.V
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ISSN0938-7994
1432-1084
1432-1084
DOI10.1007/s00330-020-07068-1

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Summary:Objectives This study aimed to investigate infarct growth patterns in stroke patients with large vessel occlusion (LVO) and successful recanalization by endovascular therapy (EVT). Methods A total of 135 patients with LVO of the internal carotid artery or proximal segment of the middle cerebral artery admitted within 12 h after onset, having baseline National Institute of Health Stroke Scale score ≥ 5 points, and successfully recanalized by EVT were enrolled. Infarct growth pattern models were developed based on infarct volumes on diffusion-weighted imaging before and after reperfusion. Single pattern models of linear, logarithmic, and exponential shapes were initially tested. Their appropriateness was predetermined. If none of these patterns was suitable, the best pattern model, which was the most suitable pattern among the three shapes selected for each individual, was tested. Clinical correlates were explored. Results Each single pattern model was tested for their suitability. However, none of the single pattern models successfully represented infarct growth curves: Of all subjects, only 63.7%, 62.2%, and 54.1% of patients were explained by the logarithmic, linear, and exponential model, respectively. Compared with the single pattern models, the best pattern model explained 80.7% of the subjects. The linear shape fit best in 40 patients, the logarithmic in 51, and the exponential in 44. Those fit best for the logarithmic pattern showed more favorable outcomes at discharge (31.4%) than did the others (linear, 10.0%; exponential, 9.1%; p  = 0.01). Conclusions Infarct growth patterns may vary among individual patients with acute stroke due to LVO and successful treatment with EVT. Key Points • Infarct growth during the acute stage of stroke is highly dynamic and the exact shape remains unknown. • Infarct growth pattern models were developed based on infarct volumes on diffusion-weighted imaging before and after reperfusion. • Infarct growth patterns may not be singular, rather various among individual patients with acute stroke due to LVO and successful treatment with EVT.
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ISSN:0938-7994
1432-1084
1432-1084
DOI:10.1007/s00330-020-07068-1