Damen Frederick C, Su Changliang, Tsuruda Jay, Anderson Thomas, Valyi-Nagy Tibor, Li Weiguo, Shaghaghi Mehran, Jiang Rifeng, Xie Chuanmiao, Cai Kejia
Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA.
Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, PR China.
Magn Reson Imaging. 2025 Apr;117:110294. doi: 10.1016/j.mri.2024.110294. Epub 2024 Dec 4.
In conjunction with an epidemiologically determined treatment window, current radiological acute ischemic stroke practice discerns two lesion (stage) types: core (dead tissue, identified by diffusion-weighted imaging (DWI)) and penumbra (tissue region receiving just enough blood flow to be potentially salvageable, identified by the perfusion diffusion mismatch). However, advancements in preclinical and clinical studies have indicated that this approach may be too rigid, warranting a more fine-grained patient-tailored approach. This study aimed to demonstrate the ability to noninvasively provide insights into the current in vivo stroke lesion cascade.
To elucidate a finer-grained depiction of the acute focal ischemic stroke cascade in vivo, we retrospectively applied our multimodal apparent diffusion (MAD) method to multi-b-value DWI, up to a b-value of 10,000 s/mm in 34 patients with acute focal ischemic stroke. Fuzzy C Means was used to cluster the MAD parameters.
We discerned 18 clusters consistent with normal appearing tissue (NAT) types and 14 potential ischemic lesion (stage) types, providing insights into the variability and aggressiveness of lesion progression and current anomalous stroke-related imaging features. Of the 529 ischemic stroke lesion instances previously identified by two radiologists, 493 (92 %) were autonomously identified; 460 (87 %) were identified as efficaciously or better than the radiologists.
The data analyzed included a small number of clinical patients without follow-up or contemporaneous histology; therefor, the findings and theorizing should be treated as conjecture. Nevertheless, each identified NAT and lesion type is consistent with the known underpinnings of physiological tissues and pathological ischemic stroke lesion (stage) types. Several findings should be considered in current clinical imaging: WM fluid accumulation, BBB compromise conundrum, b identified core may not be dead tissue, and a practical reason for DWI (pseudo) normalization.
结合流行病学确定的治疗窗口,当前放射学急性缺血性卒中实践识别出两种病变(阶段)类型:核心区(坏死组织,通过弥散加权成像(DWI)识别)和半暗带(仅接受足够血流以可能挽救的组织区域,通过灌注弥散不匹配识别)。然而,临床前和临床研究的进展表明,这种方法可能过于僵化,需要一种更精细的针对患者的方法。本研究旨在证明能够无创地深入了解当前体内卒中病变级联反应。
为了在体内更精细地描绘急性局灶性缺血性卒中级联反应,我们回顾性地将我们的多模态表观弥散(MAD)方法应用于多b值DWI,b值高达10000 s/mm²,对34例急性局灶性缺血性卒中患者进行研究。使用模糊C均值对MAD参数进行聚类。
我们识别出18个与正常组织类型(NAT)一致的簇和14种潜在的缺血性病变(阶段)类型,深入了解了病变进展的变异性和侵袭性以及当前异常的卒中相关影像学特征。在之前由两位放射科医生识别的529个缺血性卒中病变实例中,493个(92%)被自动识别;460个(87%)被识别为与放射科医生的识别效果相同或更好。
分析的数据包括少量无随访或同期组织学检查的临床患者;因此,研究结果和理论应视为推测。尽管如此,每种识别出的NAT和病变类型都与生理组织和病理性缺血性卒中病变(阶段)类型的已知基础一致。当前临床影像中应考虑几个发现:白质液体蓄积、血脑屏障破坏难题、b值确定的核心区可能不是坏死组织以及DWI(伪)标准化的实际原因。