| 08:15 | 0067.
 | Combining Cortical Neurometabolic Changes and Structural Disconnection Improves Stroke Severity Prediction: A High-Resolution 1H-MRSI Study Ziyu Meng1, Tianyao Wang2, Hong Zhou3, Chang Xu1, Bin Bo1, Yibo Zhao4,5, Rong Guo4,6, Yudu Li4,7, Wen Jin4,5, Xin Yu8, Zhi-Pei Liang4,5, and Yao Li1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, Renji Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China, 3Department of Radiology, The First Affiliated Hospital of South China of University, South China of University, Hengyang, China, 4Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Siemens Medical Solutions USA, Inc, Urbana, IL, United States, 7The National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 8Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States Keywords: Stroke, Stroke Motivation: Understanding distant metabolic changes resulting from stroke injuries can offer valuable prognostic biomarkers for patient recovery but remains underexplored. Goal(s): Our goal was to investigate the relationship between lesional and cortical neurometabolic changes, structural disconnections, and their collective impact on stroke severity using high-resolution 3D 1H-MRSI. Approach: 3D 1H-MRSI scanning using SPICE technology (scan time: 8 minutes, resolution: 2×3×3 mm3, FOV: 240×240×72 mm3) was performed on 105 acute ischemic stroke patients. Results: Cortical neurometabolic changes were associated with lesional metabolic levels and structural disconnections, which can be used jointly to improve symptom severity prediction in stroke patients. Impact: The demonstrated predictive value of combining structural disconnections with distant cortical metabolic disruptions may offer prognostic biomarkers useful for treatment and management of stroke patients. |
| 08:15 | 0068.
 | Reduced GABA level in ipsilateral thalamus correlates with cognitive impairment in stroke patients Zhenxiong Wang1,2, Peng Wu3, Yongzhou Xu4, and Xinhua Wei1,2
1Department of Radiology, Guangzhou First People's Hospital, Guangzhou, China, 2School of Medicine, South China University of Technology, Guangzhou, China, 3Philips Healthcare, Shanghai, China, 4Philips Healthcare, Guangzhou, China Keywords: Stroke, Stroke, GABA, Glx Motivation: Neurotransmitters are involved in diseases associated with cognitive impairment. Goal(s): Investigate the changes of the main inhibitory (gamma-aminobutyric acid, GABA) and excitatory neurotransmitters (glutamate and glutamine, Glx) for stroke patients and their correlation with cognitive impairment. Approach: GABA and Glx were measured using Meshcher-Garwood point-resolved spectroscopy (MEGA-PRESS) sequence in 20 ischemic stroke patients. Results: GABA to total creatine ratio (GABA/Cr) were reduced in the ipsilateral thalamus compared to the contralateral thalamus, and reduced GABA/Cr in ipsilateral thalamus was strong correlated with cognitive impairment. Thalamic GABA level could serve as a potential target for the evaluation and treatment of patients with post-stroke cognitive impairment. Impact: The levels of GABA, glutamate
and glutamine (Glx) in thalamus
can be noninvasively quantified using MRS based on MEGA-PRESS technique in ischemic stroke patients.
Reduced GABA level in ipsilateral thalamus was associated with cognitive
impairment in ischemic patients. |
| 08:15 | 0069.
 | Reduced coupling between cerebrospinal fluid flow and global brain activity in post-stroke dementia with subcortical lesion Nan Zhang1, Huaying Cai2, Linhui Ni2, Guocan Han3, Dan Wu1, Zhiyong Zhao1, and Zixuan Lin1
1Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, 2Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China, 3Department of Radiology, Neuroscience Center, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China Keywords: Stroke, Dementia, Neurovascular，glymphatic system Motivation: Post-stroke dementia (PSD) affects up to one third of stroke survivors but the underlying mechanism remains unclear. Goal(s): We hypothesized that dysfunction in glymphatic system may play a role in the pathogenesis in PSD and aim to investigate it with non-contrast imaging method. Approach: Coupling between BOLD and cerebrospinal fluid (CSF) signal was compared between PSD, post-stroke non-dementia (PSND) and normal controls. Results: Significant reduction in the BOLD-CSF coupling was found in PSD patients, which is negatively associated with cognitive test scores. Impact: The present work revealed a reduced BOLD-CSF coupling in PSD patients, indicating a potential abnormality in the glymphatic function. |
| 08:15 | 0070.
 | Improved stratification for thrombectomy after acute ischemic stroke using personalized brain thermal modeling Dongsuk Sung1, Peter Kottke2, Jason W. Allen3,4, Fadi Nahab5, Andrei G. Fedorov2,6, and Candace C. Fleischer1,4,6
1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, 2Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 4Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 5Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 6Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States Keywords: Stroke, Stroke, Computational Model Motivation: Prior research has demonstrated the benefits of thrombectomy after acute ischemic stroke (AIS). Despite improvements in surgical techniques, failed reperfusion after thrombectomy is problematic. Goal(s): Our goal was to evaluate brain temperature-based identification of infarcted and salvageable tissue for improved stratification after AIS. Approach: A patient-specific computational model using imaging data was used to predict local brain temperatures after AIS to identify infarcted and salvageable tissue and compared to existing clinical methods (RAPID). Results: Temperature-based stratification identified infarct regions not observed with RAPID and predicted lower mismatch ratios more consistent with final clinical outcomes. Impact: We demonstrate
the potential for model-predicted brain temperatures to quantify infarcted and
salvageable tissue after acute ischemic stroke for patient selection for
thrombectomy. Local brain temperature may complement existing metrics, particularly
for patients without sufficient salvageable tissue. |
| 08:15 | 0071. | WITHDRAWN |
| 08:15 | 0072.
 | Assessment of collateral flow in patients with carotid stenosis using random vessel-encoded arterial spin labeling Shanshan Lu1, Chunqiu Su2, Yuezhou Cao3, Yining He4, and Lirong Yan4
1Radiology, The first affiliated hospital of Nanjing medical university, Nanjing, China, 2Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 4Radiology, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States Keywords: Stroke, Perfusion Motivation: The ability to characterize collateral flows is crucial for evaluating patients with steno-occlusive internal carotid artery disease (ICAD). A random vessel-encoded ASL (rVE-ASL) has been introduced as a non-invasive approach for mapping vascular territories. Goal(s): In this study, we evaluated the feasibility of using a planning-free rVE-ASL to assess collateral flows in patients with ICAD by taking DSA as the golden standard. Approach: Prospective, case-control study. Results: rVE-ASL provides comparable information with DSA in determining the presence and the extent of collateral flows. The presence of flow alterations in the territory of middle cerebral artery may be attributed to symptomatic ICAD. Impact: Our study
emphasized the clinical utility of a planning-free random vessel-encoded ASL
(rVE-ASL) as a non-invasive tool for characterizing individual collateral pathways and
its potential role in predicting and managing symptomatic patients with ICAD. |
| 08:15 | 0073.
 | Dynamic evolution of infarct volumes at MRI in ischemic stroke due to large vessel occlusion Fanny Munsch1, David Planes2, Hikaru Fukutomi3, Thomas Courret2, Emilien Micard4, Bailiang Chen4, Pierre Seners5, Gaultier Marnat2, Vincent Planche6, Pierrick Coupé7, Vincent Dousset1,2,8, Bertrand Lapergue9, Jean-Marc Olivot10, Igor Sibon11, Michel Thiebault de Schotten12, and Thomas Tourdias1,2,8
1Institute of Bioimaging, University of Bordeaux, Bordeaux, France, 2Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, France, 3Neuroimaging department, Kyoto University Hospital, Kyoto, Japan, 4INSERM CIC-IT U1433, University of Nancy, Nancy, France, 5INSERM U1266, Institut de Psychiatrie et Neurosciences de Paris, Paris, France, 6CNRS, UMR 5293, Institut des Maladies Neurodégénératives, University of Bordeaux, Bordeaux, France, 7Bordeaux INP, LABRI, CNRS, UMR5800, University of Bordeaux, Talence, France, 8INSERM, Neurocentre Magendie, University of Bordeaux, Bordeaux, France, 9Service de Neurologie et Unité de Neuro Vasculaire, Hôpital FOCH, Suresnes, France, 10Unité neurovasculaire, CHU de Toulouse, Toulouse, France, 11Unité neurovasculaire, CHU de Bordeaux, Bordeaux, France, 12CNRS, UMR-5293, University of Bordeaux, Bordeaux, France Keywords: Stroke, Stroke, Image analysis; Prognosis Motivation: The typical infarct volume courses of stroke patients are still unknown. Goal(s): We aimed to reveal the spatiotemporal evolutions of infarct volumes and show that such charts help anticipate clinical outcomes. Approach: On a dataset of large vessel occlusion stroke patients, we performed unsupervised clustering approach to identify groups and then extrapolated pseudo-longitudinal core volume models across time for each group before assessing the growth phenotypes influence on outcome. Results: We identified three groups with different infarct growth profiles: slow: 11%, intermediate: 62% and fast: 27%, which translated into archetype brain locations. This growth phenotypes significantly predicted the 3-month handicap in two datasets. Impact: Infarct volumes show stereotypical spatiotemporal courses according to the patient phenotype of resistance to ischemia referred to as slow, intermediate, or fast progressors, which help to anticipate the clinical outcome for new patients. |
| 08:15 | 0074.
 | Prediction of Long-term Motor Function Based on Functional Connectivity in Ischemic Stroke after Intra-arterial Thrombectomy Wei Yang1, Bing-Fong Lin1, Yen-Jun Lai2, Chih-Wei Tang3, and Chia-Feng Lu1
1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Department of Radiology, Far Eastern Memorial Hospital, New Taipei City, Taiwan, 3Department of Neurology, Far Eastern Memorial Hospital, New Taipei City, Taiwan Keywords: Stroke, Brain Connectivity Motivation: Intra-arterial thrombectomy (IAT) can remove the thrombus to restore cerebral blood flow. However, even if the thrombus is removed, the experienced hypoxia may still damage the brain, resulting in motor deficits. Goal(s): This study demonstrated that early brain network changes after IAT treatment can predict long-term recovery in ischemic stroke patients. Approach: Functional connectivity was correlated with motor recovery after IAT treatment, identifying key functional connectivity features that influence stroke prognosis to unravel the involved mechanisms. Results: Long-term motor functions can be predicted based on the two-week functional connectivity and Fugl-Meyer Assessment scores. Impact: The current clinical challenge is that nearly half of stroke patients who undergo IAT still cannot fully recover after treatment and rehabilitation. Early prediction of post-IAT motor recovery in stroke patients can provide appropriate rehabilitation plans in clinics. |
| 08:15 | 0075.
 | Nomogram to predict hemorrhagic transformation using arterial spin labeling MRI in acute ischemic stroke with mechanical endovascular therapy jianbin huang1, yikai xu2, kan deng3, peng hao2, and zhiping zhong1
1Guangdong Provincial Hospital of Traditional Chinese Medicine, guangzhou, China, 2nanfang hospital, guangzhou, China, 3Philips Healthcare, guangzhou, China Keywords: Stroke, Arterial spin labelling Motivation: Hemorrhagic transformation (HT) is the most severe complication of acute ischemic stroke. Goal(s): The present study was to construct and internally validate a nomogram model based on pre-treatment arterial spin labeling (ASL) MRI to predict HT in AIS patients Approach: This retrospective study enrolled 117 AIS patients with anterior circulation large vessel occlusion. Multivariate logistic regression analysis identified that baseline NIHSS, ADC value and pre-treatment ASL hyperperfusion were independent factors affecting HT. Those independent predictors were then incorporated to develop a predictive nomogram model. Results: The nomogram model, could reliably calculated the probability of HT in AIS patients with mechanical endovascular therapy. Impact: The prediction model has significant clinical implications, which could guide clinical screening of high-risk patients and develop more targeted prevention strategies. |
| 08:15 | 0076.
 | Prediction value of DWI-ASPECTS and HR-VWI to evaluate the response of patients with acute ischemic stroke Min Lv1, Jiali Sun1, Wei Wang1, and Jianxiu Lian 2
1First Affiliated Hospital of Harbin Medical University, Harbin, China, 2Philips Healthcare, Beijing, China Keywords: Stroke, Atherosclerosis, ASPECTS, HR-VWI, RESPONSE, STROKE Motivation: The predicted ability of High-resolution vessel wall imaging (HR-VWI) combined with diffusion-weighted imaging (DWI) in acute ischemic stroke (AIS) patients based on the simplified modified Rankin Scale questionnaire（smRSq）remains unknown. Goal(s): The purpose is to analyze AIS patients by obtaining HR-VWI and DWI information for further providing the information for endovascular therapy.
Approach: Patients are grouped by smRSq including the good response group and the poor. The characteristics of plaque and DWI are analysed for comparing between the two groups. Results: Severe stenosis, high normalized wall index, plaque enhancement, T1WI high signal and low ASPECTS were risk factors of poor response (all P<0.05). Impact: The combination of HR-VWI and ASPECTS can assist clinical in adopting different rehabilitation management methods for patients. |
| 08:15 | 0077.
 | PET and MRI identification of metabolically injured brain and associated resting state networks to predict outcome of DBS chronic stroke therapy Jacqueline Chen1, Xuemei Huang1, Ajay Nemani1, Frank DiFilippo1, Stephen Jones1, Mark Lowe1, Kenneth Baker1, and Andre Machado1
1Cleveland Clinic, Cleveland, OH, United States Keywords: Stroke, Stroke Motivation: Determine which chronic post-stroke patients with hand motor deficits will benefit from cerebellar deep brain stimulation (DBS). Goal(s): Test the hypothesis that patients with metabolic injury to fewer rsfMRI networks experienced greater motor improvement after DBS. Approach: Analysis of baseline 18F-fluorodeoxyglucose PET identified the most metabolically injured brain region (“PET-max-imbalance-region”) for 12 patients. The total number of rsfMRI networks and volume of functionally connected brain associated with the “PET-max-imbalance-region” were calculated. Results: : Lower numbers of rsfMRI networks intersecting the “PET-max-imbalance-region” and total volumes of brain contained within networks and functionally connected to the “PET-max-imbalance-region” were associated with greater arm function improvement after DBS. Impact: Metrics quantifying the extent of resting-state functional MRI
networks associated with the most metabolically injured brain region could be considered
as inclusion/exclusion criteria when evaluating candidates for cerebellar deep
brain stimulation treatment for chronic post-stroke hand motor deficits. |
| 08:15 | 0078.
 | Bilateral corticospinal tract asymmetry predicts motor recovery after transcranial direct current stimulation in subacute stroke patients Bing-Fong Lin1, Wei Yang1, Shih-Pin Hsu2,3, I-Hui Lee2,3, and Chia-Feng Lu1
1National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Division of Cerebrovascular Diseases, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 3Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan Keywords: Stroke, Diffusion Tensor Imaging Motivation: A reliable neuroimaging biomarker to predict motor improvement after neuromodulation is lacking. Goal(s): We compared the integrity of bilateral corticospinal tracts and evaluated the asymmetry before tDCS. The association between the motor improvement and pretreatment integrity of the CST was identified to predict motor recovery in subacute stroke patients. Approach: We calculated the asymmetry and fractional anisotropy between bilateral CST.
The linear regression analysis was conducted to predict the motor recovery. Results: The patients with more severe motor impairment have higher asymmetry in CST. The tDCS regression models achieved an R2=0.796 and 0.624 for predicting FMA at three months after stroke onset. Impact: The ischemic stroke patients with higher degree of right white matter integrity have better response to neural modulation effects of tDCS treatment. The identified DTI predictors could be the basis for optimizing the treatment
protocols of tDCS in stroke patient. |
| 08:15 | 0079.
 | Prognosis prediction based on penumbra and infarct core radiomics features in patients with acute ischemic stroke Xiaoling Wu1, Jing Zhang2, Fei Wang1, Xiao Zhang3, Mengzhou Sun4, Pinjia Cai5, Zihan Li5, Shuixing Zhang1, and Xiaoyun Liang2
1Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China, 2Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Shanghai, China, 3Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Guangzhou, China, 4Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Beijing, China, 5Neusoft Medical Systems Co. Ltd,, Shenyang, China Keywords: Stroke, Radiomics Motivation: The identification and assessment of the penumbra are crucial for making the right treatment decisions and improving clinical outcomes in acute ischemic stroke (AIS) patients. Goal(s): To develop a radiomics model based ASL and DWI to predict outcomes of AIS patients with clinical factors. Approach: Radiomics features were extracted from penumbra and infarct core in 151 patients with clinical parameters. Five-fold cross-validation was performed on 70% data sets, and the model performance was evaluated by an independent test cohort. Results: The joint model with 4 radiomics features from infarct core and NHISS score yielded highest AUC of 0.802. Impact: The combined model incorporating clinical
factors and radiomics features based on infarct core and penumbra has achieved
satisfactory performance in predicting the outcomes of AIS patients, which
provides a non-invasive approach to optimize individualized treatment for AIS patients. |
| 08:15 | 0080.
 | Predicting the onset of ischemic stroke with multi-parametric mapping based on multiple overlapping-echo detachment (MQMOLED) technique Ming Ye1, Junbo Zeng1, Qizhi Yang1, Ying Lin1, Jianfeng Bao2, Jianhui Zhong3, Zhigang Wu4, Zhong Chen1, Congbo Cai1, and Shuhui Cai1
1Xiamen University, Xiamen, China, 2Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 4Clinical & Technical Support, Philips Healthcare, Shenzhen, China Keywords: Stroke, Stroke, T2 mapping, ADC mapping Motivation: Multi-parametric quantitative magnetic resonance imaging can characterize tissue properties of ischemic stroke patients noninvasively, but it is generally time consuming and susceptible to motions. Goal(s): Investigate the value of single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MQMOLED) method in distinguishing acute (≤7 days) and non-acute (>7 days) ischemic stroke patients. Approach: MQMOLED was applied on ischemic stroke patients (N = 94) to obtain their T2 and ADC maps, based on which histogram analysis was performed. Results: The combination of histogram parameters of T2 and ADC maps effectively discriminated between acute and non-acute ischemic stroke patients (AUC = 0.928). Impact: The MQMOLED approach shows improvement
in predicting acute and non-acute stroke patients. Ultrafast and motion-robust MQMOLED
can be included in routine clinical MRI protocols to help patient stratification
management for a timely beneficial therapy. |
| 08:15 | 0081.
 | Detection of Acute Infarction Using 0.23T Mobile Magnetic Resonance Imaging in Patients with Minor Ischemic Stroke or Transient Ischemic Attack Yue Suo1,2, Zhe Zhang1, Yuyuan Xu1,2, Ning Wei1, Wanlin Zhu1, Nan Qi1, Xinyao Liu1, Xiping Gong2, Kehui Dong2, Zixiao Li2, Xia Meng2,3, Yongjun Wang1,2,3, and Jing Jing1,2
1Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 3China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China Keywords: Stroke, Stroke Motivation: Low-field mobile MRI (0.064T) enables early identification of acute infarction(s) for patients with minor ischemic stroke (MIS) or transient ischemic attack (TIA). Improving the spatial resolution and shortening the scanning time are needed. Goal(s): This study sought to compare the performance of low-field mobile MRI (0.23T) and 3T MRI in detecting acute infarction(s) in MIS or TIA patients within 14 days since onset. Approach: The accuracy was calculated. The ground truth was defined as the closest 3T fixed MRI examination. Results: The accuracy of mobile low-field MRI in detecting acute infarction(s) was 96.1%. Overall scan time was shortend compared to the 0.064T system. Impact: The performance of 0.23T low-field mobile MRI
in detecting acute ischemic infarctions was comparable with 3T MRI in our
study. |
| 08:15 | 0082.
 | MR microscopy to assess clot composition following mechanical thrombectomy predicts recanalization and clinical outcome Kianush Karimian-Jazi1, Dominik Vollherbst1, Daniel Schwarz1, Manuel Fischer1, Katharina Schregel1, Gregor Bauer2, Anna Kocharyan3, Volker Sturm1, Ulf Neuberger1, Jessica Jesser1, Christian Herweh1, Christian Ulfert1, Tim Hilgenfeld1, Fatih Seker1, Fabian Preisner1, Niclas Schmitt1, Tobias Charlet1, Stefan Hamelmann4, Felix Sahm4, Sabine Heiland1, Wolfgang Wick1, Peter Ringleb2, Lucas Schirmer3, Martin Bendszus1, Markus Möhlenbruch1, and Michael Breckwoldt1
1Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany, 2Neurology, University Hospital Heidelberg, Heidelberg, Germany, 3Neurology, University Hospital Mannheim, Mannheim, Germany, 4Neuropathology, University Hospital Heidelberg, Heidelberg, Germany Keywords: Stroke, Stroke Motivation: Mechanical thrombectomy (MT) is the standard for ischemic stroke with large vessel occlusion (LVO). Clot composition is underexplored in clinical practice, leading to standardized MT regardless of clot type. Goal(s): This single-center study examined clot composition in 60 LVO stroke patients using high-field MRI at 9.4T ("MR-microscopy"). Approach: MR microscopy correlated with histopathology, and quantifying the hyperdense artery sign (HAS) on pre-interventional CT further stratified clot composition.
Results: MR microscopy successfully identified clot types—red (23%), white (28%), or mixed (48%)—with 95.4% accuracy. White clots required more passes during MT, had worse clinical outcomes, while red clots showed better first-pass recanalization rates. Impact: This study suggests clot imaging can personalize MT for improved outcomes in LVO stroke patients. |
| 08:15 | 0083.
 | Amido-proton transfer imaging combines DWI to evaluate ischemic penumbra in wake-up stroke patients: A Feasibility study yanting wang1, Xiuzheng Yue2, Zhanguo Sun3, Yueqin Chen3, and Hao Yu3
1Clinical Medical College of Jining Medical University, Jining, Shandong, China, 2Philips Healthcare (Beijing), Beijing, China, 3Affiliated Hospital of Jining Medical University, Jining, Shandong, China Keywords: Stroke, Stroke, ischemic penumbra，wake-up stroke，Amido-proton transfer，Arterial spin labeling，Diffusion weighted imaging Motivation: Ischemic Penumbra (IP) is an Ischemic tissue that is "basically reversible” during effective treatment. amide proton transfer-weighted (APT) imaging based on the PH value of biological tissues may have certain application value in evaluating the range of ischemic penumbra Goal(s): This study aimed to explore if APTw imaging has the clinical potential to predict Ischemic Penumbra Approach: This study intends to apply APTw imaging technology to wake-up stroke patients to explore whether this technology can more accurately evaluate the range of IP compared with ASL technology Results: The APTw-DWI mismatch model has the potential to evaluate the ischemic penumbra in wake-up stroke patients Impact: APTw combined with DWI provides a new method to distinguish ischemic penumbra in patients with wake-up stroke accurately. |
| 08:15 | 0084.
 | Cerebrovascular reactivity response delays from time regression analysis are uniquely correlated to recent stroke symptomatology in moyamoya Caleb Jeonghyun Han1, Wesley T. Richerson1, Maria Garza1, Murli Mishra1, Taylor Davis1,2, Matthew Fusco3, Rohan Chitale3, Colin D. McKnight2, Lori C. Jordan1,4, and Manus Donahue1,5,6
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States, 5Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 6Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States Keywords: Stroke, Stroke, Cerebrovascular Reactivity, Moyamoya Motivation: Moyamoya impairment is commonly assessed by anatomical MRI and angiography, yet these methods lack information on compensatory parenchymal behaviors. Goal(s): To evaluate whether cerebrovascular compliance measures reflect recent ischemic symptomology and may have relevance as biomarkers of stroke risk or as endpoints in interventional trials. Approach: We applied logistic regression analysis in 73 moyamoya participants to evaluate whether BOLD hypercapnia-induced reactivity or reactivity delays related to recent ischemic symptoms. Results: Reactivity delays in the flow territory of ischemic symptoms were found to be significantly lengthened compared to the asymptomatic territories. Maximum vasodilatory responses were less closely associated with symptoms. Impact: The sensitivity of the cerebrovascular reactivity timing profiles to recent ischemic symptomology suggests that the dynamics of vascular compliance may have clinical relevance as a diagnostic measurement of impairment or treatment response in moyamoya. |
| 08:15 | 0085.
 | PERFUSION MAPS QUANTIFICATION USING A NOVELTY SPATIOTEMPORAL CONVOLUTIONAL NEURAL NETWORK Anbo Cao1, Pin-Yu Lee2, Yan Kang1, and Jia Guo3
1College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, China, guangdong, China, 2Department of Biomedical Engineering, Columbia University, New York, NY, United States, 3Department of Psychiatry, Columbia University, New York, NY, USA, New York, NY, United States Keywords: Stroke, Stroke Motivation: Traditional methods employing deconvolution techniques to estimate perfusion parameters, like singular value decomposition, are known to be vulnerable to noise, potentially distorting the derived perfusion parameters. Goal(s): We try to use deep learning methods to achieve accurate perfusion parameter estimation and we also identified the clinical utility of these parameters. Approach: Data and preprocessing: The gold standard perfusion parameter maps and hypo-perfused masks were generated using commercial software RAPID. 52/86 for the training and validation/testing.
Network architecture: Spatio network and Temporal network.
Loss function: the supervised and unsupervised loss function. Results: All metrics showed a high degree of consistency with the ground truth. Impact: Based on this study, we can achieve
AI-based automation of imaging, quantification, and analysis in the future, which
will significantly change the current landscape of clinical treatment, reducing
costs while minimizing harm to the human body. |
| 08:15 | 0086.
 | Predicting Ischemic Stroke Prognosis based on Lesion Structural and Functional Disconnections Ning Wu1
1Department of Medical Imaging Technology, Yanjing Medical College, Capital Medical University, Beijing, China Keywords: Data Processing, Stroke Motivation: Assessing stroke patients' prognosis is challenging due to complex neurophysiological mechanisms involved, with only lesion location accessible from DWI sequence. Goal(s): This study aims to use patients' lesion information, alongside its structural and functional disconnections, to predict their recovery. Approach: We designed a retrospective study using lesion information at admission along with its strctural and funcitonal disconnetion, combined with machine learning to predict the prognosis of 148 stroke patients six months post-stroke. Results: Our results suggested that the structural and functional disruptions of the lesion could explain and predict National Institutes of Health Stroke Scale score and prognosis of stroke. Impact: The results not only help us understand the neurophysiological mechanisms underpinning stroke prognosis from the perspective of brain structural and functional connections, but also reveal potential targets for intervention treatments aimed at stroke recovery. |