Gwak Dong-Seok, Park Hong-Kyun, Jung Cheolkyu, Kim Jae Hyoung, Lee Juneyoung, Kim Beom Joon, Han Moon-Ku, Bae Hee-Joon
Department of Neurology, Kyungpook National University Hospital, Daegu, South Korea.
Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea.
Eur Radiol. 2020 Dec;30(12):6432-6440. doi: 10.1007/s00330-020-07068-1. Epub 2020 Jul 16.
This study aimed to investigate infarct growth patterns in stroke patients with large vessel occlusion (LVO) and successful recanalization by endovascular therapy (EVT).
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.
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).
Infarct growth patterns may vary among individual patients with acute stroke due to LVO and successful treatment with EVT.
• 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.
本研究旨在调查大血管闭塞(LVO)且通过血管内治疗(EVT)成功再通的中风患者的梗死灶生长模式。
共纳入135例发病12小时内入院、基线美国国立卫生研究院卒中量表评分≥5分且通过EVT成功再通的颈内动脉或大脑中动脉近端LVO患者。基于再灌注前后弥散加权成像上的梗死灶体积建立梗死灶生长模式模型。最初测试了线性、对数和指数形状的单一模式模型。预先确定了它们的适用性。如果这些模式都不合适,则测试最佳模式模型,即针对每个个体从三种形状中选择的最合适模式。探索临床相关性。
对每个单一模式模型进行了适用性测试。然而,没有一个单一模式模型成功地代表梗死灶生长曲线:在所有受试者中,分别只有63.7%、62.2%和54.1%的患者能用对数、线性和指数模型解释。与单一模式模型相比,最佳模式模型解释了80.7%的受试者。线性形状最适合40例患者,对数形状最适合51例,指数形状最适合44例。对数模式拟合最佳的患者出院时预后较好的比例(31.4%)高于其他患者(线性,10.0%;指数,9.1%;p = 0.01)。
由于LVO并通过EVT成功治疗的急性中风个体患者的梗死灶生长模式可能有所不同。
• 中风急性期的梗死灶生长高度动态,确切形状尚不清楚。• 基于再灌注前后弥散加权成像上的梗死灶体积建立梗死灶生长模式模型。• 由于LVO并通过EVT成功治疗的急性中风个体患者的梗死灶生长模式可能不是单一的,而是多种多样的。