Manjunath Niveditha, Dhanakshirur Rohan Raju, Joshi Siddharth, Reddy Nikhila Gunna, Raheja Amol, Devrajan Sebastian Leve Joseph, Garg Ajay, Kalra Prem Kumar, Suri Ashish
Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi.
Amarnath and Shashi Khosla School of Information Technology, Indian Institute of Technology, New Delhi.
World Neurosurg. 2024 Jan;181:e516-e523. doi: 10.1016/j.wneu.2023.10.090. Epub 2023 Oct 27.
Moyamoya disease (MMD) is characterised by supraclinoid internal carotid artery (ICA) narrowing causing cerebral parenchyma to starve. Direct and indirect revascularisation techniques are the treatment norm. We provide a clinicoradiological comparison of single and double barrel superficial temporal artery to middle cerebral artery (STA-MCA) bypass for MMD. The perfusion in cerebral hemispheres and vessel density in DSA have been evaluated using novel algorithms.
DSA, ASL MR imaging methods and Suzuki, Matsushima, Angiographic Outcome Score (AOS) scales were used to quantify perfusion parameters; modified Rankin score (mRS) was used for clinical evaluation. A novel image processing algorithm was designed to perform analysis of ASL sequences and compare perfusion. Vessel density was calculated using connected component analysis on thresholded DSA images.
54 hemispheres with MMD underwent STA-MCA bypass 42(77.8%) single barrel and 12 (22.2%) double barrel. Clinical outcome - mRS was significant with p<0.001 in single barrel and p=0.001 in double barrel groups. The overall AOS showed improvement post-operatively (p=0.032).Perfusion analysis was performed in 20 hemispheres (13 single barrel; 7 double barrel). MCA territories showed significant improvement in single barrel (2.72%, p=0.0294) and double barrel groups (12.89%, p=0.025). Vessel density calculated in MCA territory, showed an overall post-op improvement (p=1.75 x 10-8).
Double barrel STA-MCA bypass clinically as well as radiologically improves perfusion in the ACA as well as MCA territories in MMD. The novel image processing algorithm is an accurate, objective tool to evaluate perfusion in MR images and vessel density in DSA images of MMD.
烟雾病(MMD)的特征是鞍上颈内动脉(ICA)狭窄,导致脑实质缺血。直接和间接血管重建技术是治疗的常规方法。我们对单支和双支颞浅动脉-大脑中动脉(STA-MCA)旁路手术治疗烟雾病进行了临床影像学比较。使用新算法评估了脑半球的灌注和数字减影血管造影(DSA)中的血管密度。
采用DSA、动脉自旋标记(ASL)磁共振成像方法以及铃木、松岛、血管造影结果评分(AOS)量表来量化灌注参数;改良Rankin量表(mRS)用于临床评估。设计了一种新的图像处理算法来分析ASL序列并比较灌注情况。使用阈值化DSA图像上的连通分量分析来计算血管密度。
54个烟雾病半球接受了STA-MCA旁路手术,42个(77.8%)为单支,12个(22.2%)为双支。临床结果——单支组mRS有显著差异(p<0.001),双支组p = 0.001。总体AOS术后有改善(p = 0.032)。对20个半球(13个单支;7个双支)进行了灌注分析。大脑中动脉供血区在单支组(2.72%,p = 0.0294)和双支组(12.89%,p = 0.025)中均有显著改善。大脑中动脉供血区计算的血管密度术后总体有改善(p = 1.75×10 - 8)。
双支STA-MCA旁路手术在临床和影像学上均改善了烟雾病患者大脑前动脉(ACA)以及大脑中动脉供血区的灌注。这种新的图像处理算法是评估烟雾病磁共振图像灌注和DSA图像血管密度的准确、客观工具。