1
|
Erdoğan MŞ, Arpak ES, Keles CSK, Villagra F, Işık EÖ, Afşar N, Yucesoy CA, Mur LAJ, Akanyeti O, Saybaşılı H. Biochemical, biomechanical and imaging biomarkers of ischemic stroke: Time for integrative thinking. Eur J Neurosci 2024; 59:1789-1818. [PMID: 38221768 DOI: 10.1111/ejn.16245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/12/2023] [Accepted: 12/16/2023] [Indexed: 01/16/2024]
Abstract
Stroke is one of the leading causes of adult disability affecting millions of people worldwide. Post-stroke cognitive and motor impairments diminish quality of life and functional independence. There is an increased risk of having a second stroke and developing secondary conditions with long-term social and economic impacts. With increasing number of stroke incidents, shortage of medical professionals and limited budgets, health services are struggling to provide a care that can break the vicious cycle of stroke. Effective post-stroke recovery hinges on holistic, integrative and personalized care starting from improved diagnosis and treatment in clinics to continuous rehabilitation and support in the community. To improve stroke care pathways, there have been growing efforts in discovering biomarkers that can provide valuable insights into the neural, physiological and biomechanical consequences of stroke and how patients respond to new interventions. In this review paper, we aim to summarize recent biomarker discovery research focusing on three modalities (brain imaging, blood sampling and gait assessments), look at some established and forthcoming biomarkers, and discuss their usefulness and complementarity within the context of comprehensive stroke care. We also emphasize the importance of biomarker guided personalized interventions to enhance stroke treatment and post-stroke recovery.
Collapse
Affiliation(s)
| | - Esra Sümer Arpak
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
| | - Cemre Su Kaya Keles
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
- Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Stuttgart, Germany
| | - Federico Villagra
- Department of Life Sciences, Aberystwyth University, Aberystwyth, Wales, UK
| | - Esin Öztürk Işık
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
| | - Nazire Afşar
- Neurology, Acıbadem Mehmet Ali Aydınlar University, İstanbul, Turkey
| | - Can A Yucesoy
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
| | - Luis A J Mur
- Department of Life Sciences, Aberystwyth University, Aberystwyth, Wales, UK
| | - Otar Akanyeti
- Department of Computer Science, Llandinam Building, Aberystwyth University, Aberystwyth, UK
| | - Hale Saybaşılı
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
| |
Collapse
|
2
|
Machegger L, Bosque Varela P, Kuchukhidze G, Steinbacher J, Öllerer A, Prüwasser T, Zimmermann G, Pikija S, Pfaff J, Trinka E, Mc Coy M. Quantitative Analysis of Diffusion-Restricted Lesions in a Differential Diagnosis of Status Epilepticus and Acute Ischemic Stroke. Front Neurol 2022; 13:926381. [PMID: 35873780 PMCID: PMC9301206 DOI: 10.3389/fneur.2022.926381] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/07/2022] [Indexed: 11/30/2022] Open
Abstract
Background and Purpose Distinction between acute ischemic stroke (AIS) and status epilepticus (SE) on MRI can be challenging as restricted diffusion may occur in both conditions. In this study, we aimed to test a tool, which could help in differentiating AIS from SE when restricted diffusion was present on MRI. Materials and Methods In diffusion weighted imaging (DWI) with a b-value of 1,000 and apparent diffusion coefficient (ADC) maps, we compared the ratios of intensities of gray values of diffusion-restricted lesions to the healthy mirror side in patients with AIS and SE. Patients were recruited prospectively between February 2019 and October 2021. All patients underwent MRI and EEG within the first 48 h of symptom onset. Results We identified 26 patients with SE and 164 patients with AIS. All patients had diffusion-restricted lesions with a hyperintensity in DWI and ADC signal decrease. Diffusion restriction was significantly more intense in patients with AIS as compared to patients with SE. The median ratios of intensities of gray values of diffusion-restricted lesions to the healthy mirror side for DWI were 1.42 (interquartile range [IQR] 1.32–1.47) in SE and 1.67 (IQR 1.49–1.90) in AIS (p < 0.001). ADC decrease was more significant in AIS as compared to SE with median ratios of 0.80 (IQR 0.72–0.89) vs. 0.61 (IQR 0.50–0.71), respectively (p < 0.001). A cutoff value for ratios of DWI signal was 1.495 with a sensitivity of 75% and a specificity of 85%. Values lower than 1.495 were more likely to be associated with SE and higher values were with AIS. A cutoff value for ADC ratios was 0.735 with a sensitivity of 73% and a specificity of 84%. Values lower than 0.735 were more likely to be associated with AIS and higher values were with SE. Conclusion Diffusion restriction and ADC decrease were significantly more intense in patients with AIS as compared to SE. Therefore, quantitative analysis of diffusion restriction may be a helpful tool for differentiating between AIS and SE when restricted diffusion is present on MRI.
Collapse
Affiliation(s)
- Lukas Machegger
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Pilar Bosque Varela
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Giorgi Kuchukhidze
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg, Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
- *Correspondence: Giorgi Kuchukhidze
| | - Jürgen Steinbacher
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Andreas Öllerer
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Tanja Prüwasser
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Department of Mathematics, Paris-Lodron University, Salzburg, Austria
| | - Georg Zimmermann
- Department of Mathematics, Paris-Lodron University, Salzburg, Austria
- IDA Lab Salzburg, Team Biostatistics and Big Medical Data, Paracelsus Medical University, Salzburg, Austria
- Research and Innovation Management, Paracelsus Medical University, Salzburg, Austria
| | - Slaven Pikija
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Johannes Pfaff
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg, Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
- Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Salzburg, Austria
| | - Mark Mc Coy
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
- Centre for Cognitive Neuroscience Salzburg, Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
| |
Collapse
|
3
|
Park MG, Yeom JA, Baik SK, Park KP. Total mismatch of diffusion-weighted imaging and susceptibility-weighted imaging in patients with acute cerebral ischemia. J Neuroradiol 2017; 44:308-312. [PMID: 28579039 DOI: 10.1016/j.neurad.2017.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 03/21/2017] [Accepted: 04/09/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND PURPOSE Multiple hypointense vessels (MHV) on susceptibility-weighted imaging (SWI) is associated with an increased oxygen demand in acute cerebral ischemia. Occasionally, some patients exhibit extensive MHV on SWI despite of negative diffusion-weighted imaging (DWI), which is a phenomenon called total mismatch DWI-SWI. We analyzed the clinical characteristics and imaging findings in patients with the total DWI-SWI mismatch. MATERIALS AND METHODS We selected patients with total DWI-SWI mismatch who underwent MRI within 12hours from onset. To evaluate the degree of collateral flow, we graded vessels on post-contrast time-of-flight MR angiography as 3 groups. Perfusion lesion volume was measured using threshold of>6seconds of mean transit time on perfusion-weighted imaging. RESULTS Total DWI-SWI mismatch was found in 10 (2.7%) out of 370 patients. Four out of 10 patients were excluded due to lack of data on perfusion studies. Hence 6 patients were finally selected in the study. Two patients with internal carotid artery dissection were treated with emergent stenting, one patient with intravenous thrombolysis and mechanical thrombectomy, and two patients with drug-induced hypertension. All of the enrolled patients exhibited extensive MHV on SWI and good collateral flows. The mean perfusion lesion volume was 72.6±15.3ml (range 0-325.0ml). Clinical outcome was favorable in all of the patients (mRS at 3 months, 0). CONCLUSIONS Our results demonstrate that total mismatch of DWI-SWI is associated with good collateral flow and may be a predictor of good response to treatment in patients with acute cerebral ischemia.
Collapse
Affiliation(s)
- Min-Gyu Park
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Research Institute for Convergence of Biomedical Science and Technology, 20 Geumo-ro, Mulgeum, 50612 Yangsan, Republic of Korea
| | - Jeong A Yeom
- Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Seung Kug Baik
- Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Kyung-Pil Park
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Research Institute for Convergence of Biomedical Science and Technology, 20 Geumo-ro, Mulgeum, 50612 Yangsan, Republic of Korea.
| |
Collapse
|