The fuzzy MAD stroke conjecture, using Fuzzy C Means to classify multimodal apparent diffusion for ischemic stroke lesion stratification
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 potential...
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| Published in | Magnetic resonance imaging Vol. 117; p. 110294 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier Inc
01.04.2025
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| Online Access | Get full text |
| ISSN | 0730-725X 1873-5894 1873-5894 |
| DOI | 10.1016/j.mri.2024.110294 |
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| Abstract | 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/mm2 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, b1000 identified core may not be dead tissue, and a practical reason for DWI (pseudo) normalization. |
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| AbstractList | 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/mm2 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, b1000 identified core may not be dead tissue, and a practical reason for DWI (pseudo) normalization. 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.BACKGROUNDIn 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/mm2 in 34 patients with acute focal ischemic stroke. Fuzzy C Means was used to cluster the MAD parameters.METHODSTo 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/mm2 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.RESULTSWe 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, b1000 identified core may not be dead tissue, and a practical reason for DWI (pseudo) normalization.CONCLUSIONSThe 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, b1000 identified core may not be dead tissue, and a practical reason for DWI (pseudo) normalization. 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. |
| ArticleNumber | 110294 |
| Author | Damen, Frederick C. Valyi-Nagy, Tibor Tsuruda, Jay Jiang, Rifeng Cai, Kejia Li, Weiguo Su, Changliang Anderson, Thomas Shaghaghi, Mehran Xie, Chuanmiao |
| AuthorAffiliation | h Department of Radiology, Northwestern University, IL, United States f Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA g Department of Pathology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA a Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA c Department of Radiology, USC Keck School of Medicine, Los Angeles, CA, USA d Research Resources Center, University of Illinois Hospital & Health Sciences, Chicago, IL, USA e Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China b 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 |
| AuthorAffiliation_xml | – name: b 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 – name: g Department of Pathology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – name: h Department of Radiology, Northwestern University, IL, United States – name: c Department of Radiology, USC Keck School of Medicine, Los Angeles, CA, USA – name: d Research Resources Center, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – name: e Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China – name: a Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – name: f Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA |
| Author_xml | – sequence: 1 givenname: Frederick C. surname: Damen fullname: Damen, Frederick C. email: fdamen1@uic.edu organization: Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – sequence: 2 givenname: Changliang surname: Su fullname: Su, Changliang email: sucl@sysucc.org.cn organization: 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 – sequence: 3 givenname: Jay surname: Tsuruda fullname: Tsuruda, Jay organization: Department of Radiology, USC Keck School of Medicine, Los Angeles, CA, USA – sequence: 4 givenname: Thomas surname: Anderson fullname: Anderson, Thomas organization: Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – sequence: 5 givenname: Tibor surname: Valyi-Nagy fullname: Valyi-Nagy, Tibor organization: Department of Pathology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – sequence: 6 givenname: Weiguo surname: Li fullname: Li, Weiguo organization: Research Resources Center, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – sequence: 7 givenname: Mehran surname: Shaghaghi fullname: Shaghaghi, Mehran organization: Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA – sequence: 8 givenname: Rifeng surname: Jiang fullname: Jiang, Rifeng organization: Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China – sequence: 9 givenname: Chuanmiao surname: Xie fullname: Xie, Chuanmiao organization: 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 – sequence: 10 givenname: Kejia surname: Cai fullname: Cai, Kejia organization: Department of Radiology, University of Illinois Hospital & Health Sciences, Chicago, IL, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39638136$$D View this record in MEDLINE/PubMed |
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| Keywords | ADC NAT Multimodal apparent diffusion BBB MRI Ischemic stroke HT NVU SNR WM DWI T2-FLAIR Stroke cascade Multi-b-value diffusion NIHSS GM ROI TIA Fuzzy C means OEF MAD IVIM WUS ROS DTI rADC SIR ATP |
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| SubjectTerms | Aged Aged, 80 and over Algorithms Brain - diagnostic imaging Brain Ischemia - diagnostic imaging Diffusion Magnetic Resonance Imaging - methods Female Fuzzy C means Fuzzy Logic Humans Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted - methods Ischemic stroke Ischemic Stroke - diagnostic imaging Male Middle Aged Multi-b-value diffusion Multimodal apparent diffusion Retrospective Studies Stroke - diagnostic imaging Stroke cascade |
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| Title | The fuzzy MAD stroke conjecture, using Fuzzy C Means to classify multimodal apparent diffusion for ischemic stroke lesion stratification |
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