35 results on '"Wasselius, Johan"'
Search Results
2. Evaluation of CINA® LVO artificial intelligence software for detection of large vessel occlusion in brain CT angiography
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Mellander, Helena, Hillal, Amir, Ullberg, Teresa, and Wassélius, Johan
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- 2024
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3. Comparison of image quality between a novel mobile CT scanner and current generation stationary CT scanners
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Andersson, Henrik, Tamaddon, Ashkan, Malekian, Mazdak, Ydström, Kristina, Siemund, Roger, Ullberg, Teresa, and Wasselius, Johan
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- 2023
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4. Metal artifact reduction by virtual monoenergetic reconstructions from spectral brain CT
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Mellander, Helena, Fransson, Veronica, Ydström, Kristina, Lätt, Jimmy, Ullberg, Teresa, Wassélius, Johan, and Ramgren, Birgitta
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- 2023
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5. Incidence of intracranial hemorrhagic complications after anterior circulation endovascular thrombectomy in relation to occlusion site: a nationwide observational register study.
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Hall, Emma, Ullberg, Teresa, Andsberg, Gunnar, and Wasselius, Johan
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INTRACRANIAL hemorrhage ,RISK assessment ,RESEARCH funding ,SCIENTIFIC observation ,ENDOVASCULAR surgery ,DESCRIPTIVE statistics ,CEREBRAL arteries ,SURGICAL complications ,THROMBECTOMY ,STROKE ,SURGICAL site ,DISEASE risk factors - Abstract
Background Intracranial hemorrhage (ICH) is a potentially severe complication of endovascular thrombectomy (EVT). However, the relationship between the incidence and severity of ICH and vascular occlusion location is not well described. Objective To present a comprehensive analysis of subtypes of ICHs and their relationship to the occlusion site following EVT in the anterior circulation. Methods All patients with anterior circulation vessel occlusion stroke (internal carotid (ICA) and middle cerebral artery's first (M1) and later segments (M2 and beyond)) registered in the two Swedish national quality registers for stroke care and endovascular therapy during 2015-2020 were included. Hemorrhagic complications identified on imaging within 36 hours post-EVT were classified according to Heidelberg Bleeding Classification and further divided into symptomatic (sICH) or non-symptomatic (non-sICH). Results Of the 3077 patients, ICH frequency was 24.2%, which included 4.5% sICH. Subarachnoid hemorrhage (SAH) was the most frequent subtype of hemorrhage (10.9%). The hemorrhagic subtypes differed significantly by occlusion site, but the frequency of any bleed did not. EVT performed in and beyond the M2 more often resulted in SAH, frequently classified as non-sICH. EVT performed in the ICA was associated with more severe hemorrhages, such as intraventricular and large parenchymal hematomas, that were more often classified as sICH. Conclusion In this nationwide unselected EVT cohort we found that ICH severity significantly differed between different vessel occlusion sites. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke
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Bretzner, Martin, Bonkhoff, Anna K, Schirmer, Markus D., Hong, Sungmin, Dalca, Adrian, Donahue, Kathleen, Giese, Anne-Katrin, Etherton, Mark R, Rist, Pamela M, Nardin, Marco, Regenhardt, Robert W, Leclerc, Xavier, Lopes, Renaud, Gautherot, Morgan, Wang, Clinton, Benavente, Oscar R, Cole, John W., Donatti, Amanda, Griessenauer, Christoph, Heitsch, Laura, Holmegaard, Lukas, Jood, Katarina, Jimenez-Conde, Jordi, Kittner, Steven J, Lemmens, Robin, Levi, Christopher R, McArdle, Patrick F, McDonough, Caitrin W., Meschia, James F, Phuah, Chia-Ling, Rolfs, Arndt, Ropele, Stefan, Rosand, Jonathan, Roquer, Jaume, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Sousa, Alessandro, Stanne, Tara M, Strbian, Daniel, Tatlisumak, Turgut, Thijs, Vincent, Vagal, Achala, Wasselius, Johan, Woo, Daniel, Wu, Ona, Zand, Ramin, Worrall, Bradford B, Maguire, Jane, Lindgren, Arne G, Jern, Christina, Golland, Polina, Kuchcinski, Grégory, and Rost, Natalia S
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- 2022
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7. Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome
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Bonkhoff, Anna K, Hong, Sungmin, Bretzner, Martin, Schirmer, Markus D., Regenhardt, Robert W, Arsava, E. Murat, Donahue, Kathleen, Nardin, Marco, Dalca, Adrian, Giese, Anne-Katrin, Etherton, Mark R, Hancock, Brandon L., Mocking, Steven J.T., McIntosh, Elissa, Attia, John, Benavente, Oscar, Cole, John W., Donatti, Amanda, Griessenauer, Christoph, Heitsch, Laura, Holmegaard, Lukas, Jood, Katarina, Jimenez-Conde, Jordi, Kittner, Steven, Lemmens, Robin, Levi, Christopher, McDonough, Caitrin W., Meschia, James, Phuah, Chia-Ling, Rolfs, Arndt, Ropele, Stefan, Rosand, Jonathan, Roquer, Jaume, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Soederholm, Martin, Sousa, Alessandro, Stanne, Tara M, Strbian, Daniel, Tatlisumak, Turgut, Thijs, Vincent, Vagal, Achala, Wasselius, Johan, Woo, Daniel, Zand, Ramin, McArdle, Patrick, Worrall, Bradford B, Jern, Christina, Lindgren, Arne G, Maguire, Jane, Golland, Polina, Bzdok, Danilo, Wu, Ona, and Rost, Natalia S
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- 2022
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8. Classifications of atherosclerotic plaque components with T1 and T2* mapping in 11.7 T MRI
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Truong, My, Lennartsson, Finn, Bibic, Adnan, Sundius, Lena, Persson, Ana, Siemund, Roger, In’t Zandt, René, Goncalves, Isabel, and Wassélius, Johan
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- 2021
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9. Diagnostic accuracy and radiological validation of intracerebral hemorrhage diagnosis in the Swedish Stroke Register (Riksstroke).
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Sultani, Gabriella, Hillal, Amir, Ramgren, Birgitta, Apostolaki‐Hansson, Trine, Norrving, Bo, Wasselius, Johan, and Ullberg, Teresa
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INTRACRANIAL hemorrhage ,CEREBRAL hemorrhage ,STROKE ,SUBARACHNOID hemorrhage ,AGE groups - Abstract
Background and purpose: National quality registries for stroke care operate under the assumption that the included patients are correctly diagnosed. We aimed to validate the clinical diagnosis of spontaneous intracerebral hemorrhage (ICH) in Riksstroke (RS) by evaluating radiological data from a large, unselected ICH population. Methods: We conducted a retrospective, multicenter study including all ICH patients registered in RS between 2016 and 2020 residing in Skåne County in Sweden (1.41 million inhabitants). Radiological data from first imaging were evaluated for the presence of spontaneous ICH. Other types of bleeds were registered if a spontaneous ICH was not identified on imaging. The radiological evaluation was independently performed by one radiology fellow and one senior neuroradiologist. Results: Between 2016 and 2020, 1784 ICH cases were registered in RS, of which 1655 (92.8%) had a radiological diagnosis consistent with spontaneous ICH. In the 129 (7.2%) remaining cases, the radiological diagnosis was instead traumatic bleed (n = 80), subarachnoid hemorrhage (n = 15), brain tumor bleed (n = 14), ischemic lesion with hemorrhagic transformation (n = 14), ischemic lesion (n = 3), or no bleed at all (n = 3). There was a higher degree of incorrect coding in the older age groups. Conclusion: At radiological evaluation, 92.8% of ICH diagnoses in RS were consistent with spontaneous ICH, yielding a high rate of agreement that strengthens the validity of the diagnostic accuracy in the register, justifying the use of high coverage quality register data for epidemiological purposes. The most common coding error was traumatic bleeds that were classified as spontaneous ICH. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Brain Volume: An Important Determinant of Functional Outcome After Acute Ischemic Stroke
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Schirmer, Markus D., Donahue, Kathleen L., Nardin, Marco J., Dalca, Adrian V., Giese, Anne-Katrin, Etherton, Mark R., Mocking, Steven J.T., McIntosh, Elissa C., Cole, John W., Holmegaard, Lukas, Jood, Katarina, Jimenez-Conde, Jordi, Kittner, Steven J., Lemmens, Robin, Meschia, James F., Rosand, Jonathan, Roquer, Jaume, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Stanne, Tara M., Vagal, Achala, Wasselius, Johan, Woo, Daniel, Bevan, Stephen, Heitsch, Laura, Phuah, Chia-Ling, Strbian, Daniel, Tatlisumak, Turgut, Levi, Christopher R., Attia, John, McArdle, Patrick F., Worrall, Bradford B., Wu, Ona, Jern, Christina, Lindgren, Arne, Maguire, Jane, Thijs, Vincent, and Rost, Natalia S.
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- 2020
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11. Iterative metal artifact reduction in aortic CTA after Onyx®-embolization
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Lehti, Leena, Söderberg, Marcus, Mellander, Helena, and Wassélius, Johan
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- 2020
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12. The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period – an explorative observational study.
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Finn, Eric Lyckegård, Carlsson, Håkan, Ericson, Petter, Åström, Kalle, Brogårdh, Christina, and Wasselius, Johan
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WRIST ,STROKE rehabilitation ,ACCELEROMETERS ,MOTORS ,BRACELETS ,ACCELEROMETRY ,SCIENTIFIC observation ,REHABILITATION - Abstract
Background: Assessments of arm motor function are usually based on clinical examinations or self-reported rating scales. Wrist-worn accelerometers can be a good complement to measure movement patterns after stroke. Currently there is limited knowledge of how accelerometry correlate to clinically used scales. The purpose of this study was therefore to evaluate the relationship between intermittent measurements of wrist-worn accelerometers and the patient's progression of arm motor function assessed by routine clinical outcome measures during a rehabilitation period. Methods: Patients enrolled in in-hospital rehabilitation following a stroke were invited. Included patients were asked to wear wrist accelerometers for 24 h at the start (T1) and end (T2) of their rehabilitation period. On both occasions arm motor function was assessed by the modified Motor Assessment Scale (M_MAS) and the Motor Activity Log (MAL). The recorded accelerometry was compared to M_MAS and MAL. Results: 20 patients were included, of which 18 completed all measurements and were therefore included in the final analysis. The resulting Spearman's rank correlation coefficient showed a strong positive correlation between measured wrist acceleration in the affected arm and M-MAS and MAL values at T1, 0.94 (p < 0.05) for M_MAS and 0.74 (p < 0.05) for the MAL values, and a slightly weaker positive correlation at T2, 0.57 (p < 0.05) for M_MAS and 0.46 − 0.45 (p = 0.06) for the MAL values. However, no correlation was seen for the difference between the two sessions. Conclusions: The results confirm that the wrist acceleration can differentiate between the affected and non-affected arm, and that there is a positive correlation between accelerometry and clinical measures. Many of the patients did not change their M-MAS or MAL scores during the rehabilitation period, which may explain why no correlation was seen for the difference between measurements during the rehabilitation period. Further studies should include continuous accelerometry throughout the rehabilitation period to reduce the impact of day-to-day variability. [ABSTRACT FROM AUTHOR]
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- 2024
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13. White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts – The MRI-GENIE study
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Schirmer, Markus D., Dalca, Adrian V., Sridharan, Ramesh, Giese, Anne-Katrin, Donahue, Kathleen L., Nardin, Marco J., Mocking, Steven J.T., McIntosh, Elissa C., Frid, Petrea, Wasselius, Johan, Cole, John W., Holmegaard, Lukas, Jern, Christina, Jimenez-Conde, Jordi, Lemmens, Robin, Lindgren, Arne G., Meschia, James F., Roquer, Jaume, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Thijs, Vincent, Woo, Daniel, Vagal, Achala, Xu, Huichun, Kittner, Steven J., McArdle, Patrick F., Mitchell, Braxton D., Rosand, Jonathan, Worrall, Bradford B., Wu, Ona, Golland, Polina, and Rost, Natalia S.
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- 2019
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14. Detection of Perfusion Deficits in Multiphase Computed Tomography Angiography—A Stroke Imaging Technique Based on Iodine Mapping on Spectral Computed Tomography: Initial Findings
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Fransson, Veronica, Mellander, Helena, Wasselius, Johan, and Ydström, Kristina
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- 2021
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15. White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype
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Giese, Anne-Katrin, Schirmer, Markus D., Dalca, Adrian V., Sridharan, Ramesh, Donahue, Kathleen L., Nardin, Marco, Irie, Robert, McIntosh, Elissa C., Mocking, Steven J.T., Xu, Huichun, Cole, John W., Giralt-Steinhauer, Eva, Jimenez-Conde, Jordi, Jern, Christina, Kleindorfer, Dawn O., Lemmens, Robin, Wasselius, Johan, Lindgren, Arne, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Thijs, Vincent, Worrall, Bradford B., Woo, Daniel, Kittner, Steven J., McArdle, Patrick F., Mitchell, Braxton D., Rosand, Jonathan, Meschia, James F., Wu, Ona, Golland, Polina, and Rost, Natalia S.
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- 2020
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16. Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data
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Wu, Ona, Winzeck, Stefan, Giese, Anne-Katrin, Hancock, Brandon L., Etherton, Mark R., Bouts, Mark J.R.J., Donahue, Kathleen, Schirmer, Markus D., Irie, Robert E., Mocking, Steven J.T., McIntosh, Elissa C., Bezerra, Raquel, Kamnitsas, Konstantinos, Frid, Petrea, Wasselius, Johan, Cole, John W., Xu, Huichun, Holmegaard, Lukas, Jiménez-Conde, Jordi, Lemmens, Robin, Lorentzen, Eric, McArdle, Patrick F., Meschia, James F., Roquer, Jaume, Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Stanne, Tara M., Thijs, Vincent, Vagal, Achala, Woo, Daniel, Bevan, Stephen, Kittner, Steven J., Mitchell, Braxton D., Rosand, Jonathan, Worrall, Bradford B., Jern, Christina, Lindgren, Arne G., Maguire, Jane, and Rost, Natalia S.
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- 2019
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17. Small vessel disease in primary familial brain calcification with novel truncating PDGFB variants.
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Farahmand, Maha Yektay, Wasselius, Johan, Englund, Elisabet, Braverman, Irwin, Puschmann, Andreas, and Ilinca, Andreea
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Introduction. Primary familial brain calcification (PFBC) is a neurodegenerative disease characterised by bilateral calcification in the brain, especially in the basal ganglia, leading to neurological and neuropsychiatric manifestations. White matter hyperintensities (WMH) have been described in patients with PFBC and pathogenic variants in the gene for platelet-derived growth factor beta polypeptide (PDGFB), suggesting a manifest cerebrovascular process. We present below the cases of two PFBC families with PDGFB variants and stroke or transient ischaemic attack (TIA) episodes. We examine the possible correlation between PFBC and vascular events as stroke/TIA, and evaluate whether signs for vascular disease in this condition are systemic or limited to the cerebral vessels. Material and methods. Two Swedish families with novel truncating PDGFB variants, p.Gln140* and p.Arg191*, are described clinically and radiologically. Subcutaneous capillary vessels in affected and unaffected family members were examined by light and electron microscopy. Results. All mutation carriers showed WMH and bilateral brain calcifications. The clinical presentations differed, with movement disorder symptoms dominating in family A, and psychiatric symptoms in family B. However, affected members of both families had stroke, TIA, and/or asymptomatic intracerebral ischaemic lesions. Only one of the patients had classical vascular risk factors. Skin microvasculature was normal. Conclusions. Patients with these PDGFB variants develop microvascular changes in the brain, but not the skin. PDGFB-related small vessel disease can manifest radiologically as cerebral haemorrhage or ischaemia, and may explain TIA or stroke in patients without other vascular risk factors. [ABSTRACT FROM AUTHOR]
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- 2024
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18. Design and rationale for examining neuroimaging genetics in ischemic stroke: The MRI-GENIE study
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Giese, Anne-Katrin, Schirmer, Markus D., Donahue, Kathleen L., Cloonan, Lisa, Irie, Robert, Winzeck, Stefan, Bouts, Mark J.R.J., McIntosh, Elissa C., Mocking, Steven J., Dalca, Adrian V., Sridharan, Ramesh, Xu, Huichun, Frid, Petrea, Giralt-Steinhauer, Eva, Holmegaard, Lukas, Roquer, Jaume, Wasselius, Johan, Cole, John W., McArdle, Patrick F., Broderick, Joseph P., Jimenez-Conde, Jordi, Jern, Christina, Kissela, Brett M., Kleindorfer, Dawn O., Lemmens, Robin, Lindgren, Arne, Meschia, James F., Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Thijs, Vincent, Woo, Daniel, Worrall, Bradford B., Kittner, Steven J., Mitchell, Braxton D., Rosand, Jonathan, Golland, Polina, Wu, Ona, and Rost, Natalia S.
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- 2017
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19. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting
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Chauhan, Ganesh, Adams, Hieab H.H., Satizabal, Claudia L., Bis, Joshua C., Teumer, Alexander, Sargurupremraj, Muralidharan, Hofer, Edith, Trompet, Stella, Hilal, Saima, Smith, Albert Vernon, Jian, Xueqiu, Malik, Rainer, Traylor, Matthew, Pulit, Sara L., Amouyel, Philippe, Mazoyer, Bernard, Zhu, Yi-Cheng, Kaffashian, Sara, Schilling, Sabrina, Beecham, Gary W., Montine, Thomas J., Schellenberg, Gerard D., Kjartansson, Olafur, Guðnason, Vilmundur, Knopman, David S., Griswold, Michael E., Windham, B. Gwen, Gottesman, Rebecca F., Mosley, Thomas H., Schmidt, Reinhold, Saba, Yasaman, Schmidt, Helena, Takeuchi, Fumihiko, Yamaguchi, Shuhei, Nabika, Toru, Kato, Norihiro, Rajan, Kumar B., Aggarwal, Neelum T., De Jager, Philip L., Evans, Denis A., Psaty, Bruce M., Rotter, Jerome I., Rice, Kenneth, Lopez, Oscar L., Liao, Jiemin, Chen, Christopher, Cheng, Ching-Yu, Wong, Tien Y., Ikram, Mohammad K., van der Lee, Sven J., Amin, Najaf, Chouraki, Vincent, DeStefano, Anita L., Aparicio, Hugo J., Romero, Jose R., Maillard, Pauline, DeCarli, Charles, Wardlaw, Joanna M., Hernández, Maria del C. Valdés, Luciano, Michelle, Liewald, David, Deary, Ian J., Starr, John M., Bastin, Mark E., Muñoz Maniega, Susana, Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, Uh, Hae-Won, Lemmens, Robin, Brodaty, Henry, Wright, Margaret J., Ames, David, Boncoraglio, Giorgio B., Hopewell, Jemma C., Beecham, Ashley H., Blanton, Susan H., Wright, Clinton B., Sacco, Ralph L., Wen, Wei, Thalamuthu, Anbupalam, Armstrong, Nicola J., Chong, Elizabeth, Schofield, Peter R., Kwok, John B., van der Grond, Jeroen, Stott, David J., Ford, Ian, Jukema, J. Wouter, Vernooij, Meike W., Hofman, Albert, Uitterlinden, André G., van der Lugt, Aad, Wittfeld, Katharina, Grabe, Hans J., Hosten, Norbert, von Sarnowski, Bettina, Völker, Uwe, Levi, Christopher, Jimenez-Conde, Jordi, Sharma, Pankaj, Sudlow, Cathie L.M., Rosand, Jonathan, Woo, Daniel, Cole, John W., Meschia, James F., Slowik, Agnieszka, Thijs, Vincent, Lindgren, Arne, Melander, Olle, Grewal, Raji P., Rundek, Tatjana, Rexrode, Kathy, Rothwell, Peter M., Arnett, Donna K., Jern, Christina, Johnson, Julie A., Benavente, Oscar R., Wasssertheil-Smoller, Sylvia, Lee, Jin-Moo, Wong, Quenna, Mitchell, Braxton D., Rich, Stephen S., McArdle, Patrick F., Geerlings, Mirjam I., van der Graaf, Yolanda, de Bakker, Paul I.W., Asselbergs, Folkert W., Srikanth, Velandai, Thomson, Russell, McWhirter, Rebekah, Moran, Chris, Callisaya, Michele, Phan, Thanh, Rutten-Jacobs, Loes C.A., Bevan, Steve, Tzourio, Christophe, Mather, Karen A., Sachdev, Perminder S., van Duijn, Cornelia M., Worrall, Bradford B., Dichgans, Martin, Kittner, Steven J., Markus, Hugh S., Ikram, Mohammad A., Fornage, Myriam, Launer, Lenore J., Seshadri, Sudha, Longstreth, W.T., Jr, Debette, Stéphanie, Almgren, Peter, Anderson, Christopher D., Arnett, Donna K., Attia, John, Ay, Hakan, Benavente, Oscar R., Bevan, Steve, Brown, Robert D., Bustamante, Mariana, Cheng, Yu-Ching, Cole, John W., Cotlarciuc, Ioana, Cruchaga, Carlos, de Bakker, Paul IW., Delavaran, Hossein, Dichgans, Martin, Engström, Gunnar, Fornage, Myriam, Grewal, Raji P., Heitsch, Laura, Holliday, Elizabeth, Ibanez, Laure, Ilinca, Andreea, Irvin, Marguerite R., Jackson, Rebecca D., Jern, Christina, Jimenez-Conde, Jordi, Johnson, Julie A., Jood, Katarina, Kissela, Brett M., Kittner, Steven J., Kleindorfer, Dawn O., Labovitz, Daniel, Laurie, Cathy C., Lee, Jin-Moo, Lemmens, Robin, Levi, Christopher, Li, Linxin, Lindgren, Arne G., Maguire, Jane, Markus, Hugh S., McArdle, Patrick F., Melander, Olle, Meschia, James F., Mitchell, Braxton D., Müller-Nurasyid, Martina, Norrving, Bo, Peddareddygari, Leema Reddy, Pera, Joanna, Pulit, Sara L., Rexrode, Kathryn, Ribasés, Marta, Roquer, Jaume, Rost, Natalia S., Rothwell, Peter M., Rundek, Tatjana, Sacco, Ralph L., Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Soriano-Tárraga, Carolina, Stanne, Tara, Stauch, Konstantin, Stine, O C., Sudlow, Cathie LM., Thijs, Vincent N.S., Wasssertheil-Smoller, Sylvia, Weir, David, Williams, Stephen R., Wong, Quenna, Woo, Daniel, Worrall, Bradford B., Xu, Huichun, Seshadri, Sudha, Hyacinth, Hyacinth I, Marini, Sandro, Nyquist, Paul, Lewis, Cathryn, Hansen, Bjorn, Norrving, Bo, Rosand, Jonathan, Biffi, Alessandro, Kourkoulis, Christina, Anderson, Chris, Giese, Anne-Katrin, Sacco, Ralph, Sharma, Pankaj, Chung, Jong-Won, Kim, Gyeong-Moon, Lubitz, Steven, Bourcier, Romain, Howson, Joanna, Granata, Alessandra, Drazyk, Anna, Markus, Hugh, Wardlaw, Joanna, Mitchell, Braxton, Cole, John, Hopewell, Jemma, Walters, Robin, Turnbull, Iain, Worrall, Bradford, Bis, Josh, Reiner, Alex, Dhar, Raj, Heitsch, Laura, Lee, Jin-Moo, Prasad, Kameshwar, Sarnowski, Chloé, Aparicio, Hugo Javier, Yang, Qiong, Chasman, Daniel, Rexrode, Kathryn, Phuah, Chia-Ling, Liu, Guiyou, Elkind, Mitchell, Lange, Leslie, Rost, Natalia, James, Michael, Stewart, Jill, Vojinovic, Dina, Thijs, Vincent, Parati, Eugenio, Boncoraglio, Giorgio, Zand, Ramin, Bijlenga, Philippe, Selim, Magdy, Grond-Ginsbach, Caspar, Strbian, Daniel, Tomppo, Liisa, Sallinen, Hanne, Pfeiffer, Dorothea, Torres, Nuria, Barboza, Miguel, Laarman, Melanie, Carriero, Roberta, Holliday, Elizabeth, Jimenez-Conde, Jordi, Soriano, Carolina, Gill, Dipender, Debette, Stephanie, Mishra, Aniket, Wu, Jer-Yuarn, Ko, Tai-Ming, Bione, Silvia, Jood, Katarina, Tatlisumak, Turgut, Holmegaard, Lukas, Yue, Suo, bersano, Anna, Pera, Joanna, Slowik, Agnieszka, Levi, Christopher, Schlicht, Kristina, Lemmens, Robin, Ninomiya, Toshiharu, Oberstein, Saskia Lesnik, Lee, Tsong-Hai, Malik, Rainer, Dichgans, Martin, Lindgren, Arne, Wasselius, Johan, Drake, Mattias, Melander, Olle, Stenman, Martin, Ilinca, Andreea, Crawford, Katherine, Lena, Umme, Mateen, Farrah, Ay, Hakan, Wu, Ona, Schirmer, Markus, Cramer, Steve, Golland, Polina, Brown, Robert, Meschia, James, Ross, Owen A., Pare, Guillaume, Chong, Mike, Rundek, Tatjana, Gwinn, Katrina, Chen, Christopher, Koenig, Jim, Giralt, Eva, Saleheen, Danish, de Leeuw, Frank-Erik, Klijn, Karin, Kamatani, Yoichiro, Kubo, Michiaki, Okada, Yukinori, Pedersen, Annie, Olsson, Maja, Martín, Juan José, Xu, Huichun, Tan, Eng King, Frid, Petrea, Lee, Chaeyoung, Tregouet, David, Leung, Thomas, Choy, Richard, Jern, Christina, Loo, Keat Wei, Rinkel, Gabriel, Franca, Paulo, Cendes, Iscia, Carrera, Caty, Fernandez-Cadenas, Israel, Montaner, Joan, Kim, Helen, Owolabi, Mayowa, Sofat, Reecha, Bakker, Mark, Ruigrok, Ynte, Hauer, Allard, Pulit, Sara L., van der Laan, Sander W., Irvin, Ryan, Sargurupremraj, Murali, Pezzini, Alessandro, Abd-Allah, Foad, Liebeskind, David, Traylor, Matthew, Tan, Rhea, Danesh, John, Rutten-Jacobs, Loes, Donatti, Amanda, Avelar, Wagner, Broderick, Joseph, Woo, Daniel, Sudlow, Cathie, Rannikmae, Kristiina, McDonough, Caitrin Wheeler, van Agtmael, Tom, Walters, Matthew, Söderholm, Martin, Lorentzen, Erik, Olsson, Sandra, Stanne, Tara, Olsson, Martina, Akinyemi, Rufus, Cotlatciuc, Ioana, McArdle, Patrick, Dave, Tushar, Kittner, Steven, Attia, John, Faber, James E, Millwood, Iona, Márquez, Elsa Valdés, Mancuso, Michelangelo, Vibo, Riina, Korv, Janika, Maguire, Jane, Fornage, Myriam, Majersik, Jennifer, DeHavenon, Adam, Alexander, Matthew, Sale, Michele, Southerland, Andrew, Owens, Debra, Psaty, Bruce, Longstreth, W. T., Jr, Wolfe, Stacey Quintero, Langefeld, Carl, Cruchaga, Carlos, Konrad, Jan, Sheth, Kevin, Falcone, Guido, Donahue, Kathleen, Simpkins, Alexis N, Liang Byorn, Tan Wei, Chan, Bernard, Clatworthy, Phil, Florez, Jose, Harshfield, Eric, Hozawa, Atsushi, Hsu, Chung, Hu, Chaur-Jong, Ibanez, Laure, Ihara, Masafumi, Lange, Marcos, Lee, Soo Ji, Lee, I-Hui, Musolino, Patricia, Nakatomi, Hirofumi, Park, Kwang-Yeol, Rich, Stephen S, Riley, Chris, Sung, Joohon, Suzuki, Hideaki, Vo, Katie, Washida, Kazuo, Ibenez, Laura Garcia, Slowik, Agnieszka, Hofman, Albert, Algra, Ale, Reiner, Alex P, Doney, Alexander S F, Gschwendtner, Andreas, Ilinca, Andreea, Giese, Anne-Katrin, Lindgren, Arne, Vicente, Astrid M, Norrving, Bo, Nordestgaard, Børge G, Mitchell, Braxton D, Worrall, Bradford B, Psaty, Bruce M, Carty, Cara L, Sudlow, Cathie, Anderson, Christopher D, Levi, Christopher, Satizabal, Claudia L, Palmer, Colin N A, Gamble, Dale M, Woo, Daniel, Saleheen, Danish, Ringelstein, E Bernd, Valdimarsson, Einar, Holliday, Elizabeth, Davies, Gail, Chauhan, Ganesh, Pasterkamp, Gerard, Boncoraglio, Giorgio, Kuhlenbäumer, Gregor, Thorleifsson, Gudmar, Falcone, Guido J, Pare, Guillame, Schmidt, Helena, Delavaran, Hossein, Markus, Hugh S, Aparicio, Hugo J, Deary, Ian, Cotlarciuc, Ioana, Fernandez-Cadenas, Israel, Meschia, James, Hopewell, Jemma C, Liu, Jingmin, Montaner, Joan, Pera, Joanna, Cole, John, Attia, John R, Rosand, Jonathan, Ferro, Jose M, Bis, Joshua, Furie, Karen, Stefansson, Kari, Berger, Klaus, Kostulas, Konstantinos, Rannikmae, Kristina, Ikram, M Arfan, Benn, Marianne, Dichgans, Martin, Farrall, Martin, Pandolfo, Massimo, Traylor, Matthew, Walters, Matthew, Sale, Michele, Nalls, Mike, Fornage, Myriam, van Zuydam, Natalie R, Sharma, Pankaj, Abrantes, Patricia, de Bakker, Paul IW, Higgins, Peter, Lichtner, Peter, Rothwell, Peter M, Amouyel, Philippe, Yang, Qiong, Malik, Rainer, Schmidt, Reinhold, Clarke, Robert, Lemmens, Robin, van der Laan, Sander W, Pulit, Sara L, Abboud, Sherine, Oliveira, Sofia A, Gretarsdottir, Solveig, Debette, Stephanie, Williams, Stephen R, Bevan, Steve, Kittner, Steven J, Seshadri, Sudha, Mosley, Thomas, Battey, Thomas WK, Tatlisumak, Turgut, Thorsteinsdottir, Unnur, Thijs, Vincent NS, Longstreth, W T, Zhao, Wei, Chen, Wei-Min, Cheng, Yu-Ching, Albert, Marilyn S., Albin, Roger L., Apostolova, Liana G., Arnold, Steven E., Asthana, Sanjay, Atwood, Craig S., Baldwin, Clinton T., Barmada, M. Michael, Barnes, Lisa L., Barral, Sandra, Beach, Thomas G., Becker, James T., Beecham, Gary W., Beekly, Duane, Bennett, David A., Bigio, Eileen H., Bird, Thomas D., Blacker, Deborah, Boeve, Bradley F., Boxer, Adam, Burke, James R., Burns, Jeffrey M., Buxbaum, Joseph D., Byrd, Goldie S., Cai, Guiqing, Cairns, Nigel J., Cantwell, Laura B., Cao, Chuanhai, Carlsson, Cynthia M., Carney, Regina M., Carrasquillo, Minerva M., Carroll, Steven L., Chui, Helena C., Clark, David G., Cribbs, David H., Crocco, Elizabeth A., Cruchaga, Carlos, De Jager, Philip L., DeCarli, Charles, Demirci, F. Yesim, Dick, Malcolm, Dickson, Dennis W., Duara, Ranjan, Ertekin-Taner, Nilufer, Evans, Denis A., Faber, Kelley M., Fallin, M. Daniele, Fallon, Kenneth B., Fardo, David W., Farlow, Martin R., Farrer, Lindsay A., Ferris, Steven, Foroud, Tatiana M., Frosch, Matthew P., Galasko, Douglas R., Gearing, Marla, Geschwind, Daniel H., Ghetti, Bernardino, Gilbert, John R., Go, Rodney C.P., Goate, Alison M., Graff-Radford, Neill R., Green, Robert C., Griffith, Patrick, Growdon, John H., Haines, Jonathan L., Hakonarson, Hakon, Hamilton, Ronald L., Hamilton-Nelson, Kara L., Haroutunian, Vahram, Harrell, Lindy E., Honig, Lawrence S., Huebinger, Ryan M., Hulette, Christine M., Hyman, Bradley T., Jicha, Gregory A., Jin, Lee-Way, Jun, Gyungah, Kamboh, M. Ilyas, Karydas, Anna, Kauwe, John S.K., Kaye, Jeffrey A., Kim, Ronald, Kowall, Neil W., Kramer, Joel H., Kukull, Walter A., Kunkle, Brian W., LaFerla, Frank M., Lah, James J., Lang-Walker, Rosalyn, Larson, Eric B., Leverenz, James B., Levey, Allan I., Li, Ge, Lieberman, Andrew P., Logue, Mark W., Lopez, Oscar L., Lunetta, Kathryn L., Lyketsos, Constantine G., Mack, Wendy J., Manly, Jennifer J., Marson, Daniel C., Martin, Eden R., Martiniuk, Frank, Mash, Deborah C., Masliah, Eliezer, Mayeux, Richard, McKee, Ann C., Mesulam, Marsel, Miller, Bruce L., Miller, Carol A., Miller, Joshua W., Montine, Thomas J., Morris, John C., Murrell, Jill R., Naj, Adam C., Obisesan, Thomas O., Olichney, John M., Pankratz, Vernon S., Parisi, Joseph E., Partch, Amanda, Paulson, Henry L., Pericak-Vance, Margaret A., Perry, William, Peskind, Elaine, Petersen, Ronald C., Pierce, Aimee, Poon, Wayne W., Potter, Huntington, Quinn, Joseph F., Raj, Ashok, Raj, Towfique, Raskind, Murray, Reiman, Eric M., Reisberg, Barry, Reitz, Christiane, Ringman, John M., Roberson, Erik D., Rosen, Howard J., Rosenberg, Roger N., Sager, Mark A., Sano, Mary, Saykin, Andrew J., Schellenberg, Gerard D., Schneider, Julie A., Schneider, Lon S., Seeley, William W., Smith, Amanda G., Sonnen, Joshua A., Spina, Salvatore, Stern, Robert A., Swerdlow, Russell H., Tanzi, Rudolph E., Thornton-Wells, Tricia A., Trojanowski, John Q., Troncoso, Juan C., Tsuang, Debby W., Valladares, Otto, Van Deerlin, Vivianna M., Van Eldik, Linda J., Vardarajan, Badri N., Vinters, Harry V., Vonsattel, Jean Paul, Wang, Li-San, Weintraub, Sandra, Welsh-Bohmer, Kathleen A., Williamson, Jennifer, Wingo, Thomas S., Wishnek, Sarah, Woltjer, Randall L., Wright, Clinton B., Younkin, Steven G., Yu, Chang-En, Yu, Lei, Chauhan, Ganesh, Chu, Audrey Y., Fornage, Myriam, Bis, Joshua C., Havulinna, Aki S., Sargurupremraj, Muralidharan, Smith, Albert Vernon, Adams, Hieab H.H., Choi, Seung Hoan, Trompet, Stella, Garcia, Melissa E., Manichaikul, Ani, Teumer, Alexander, Gustafsson, Stefan, Bartz, Traci M., Bellenguez, Céline, Vidal, Jean Sebastien, Jian, Xueqiu, Kjartansson, Olafur, Wiggins, Kerri L., Satizabal, Claudia L., Xue, Flora, Ripatti, Samuli, Liu, Yongmei, Deelen, Joris, Hoed, Marcel den, Heckbert, Susan R., Rice, Kenneth, Smith, Nicholas L., Wong, Quenna, Aparicio, Hugo J., Buring, Julie E., Ridker, Paul M, Berr, Claudine, Dartigues, Jean-François, Hamsten, Anders, Magnusson, Patrik K., Pedersen, Nancy L., Lannfelt, Lars, Lind, Lars, Lindgren, Cecilia M., Morris, Andrew P., Hofman, Albert, Koudstaal, Peter J., Portegies, Marileen LP., Uitterlinden, André G., de Craen, Anton JM, Ford, Ian, Jukema, J. Wouter, Stott, David J, Allen, Norrina B., Sale, Michele M., Johnson, Andrew D, Bennett, David A., De Jager, Philip L., White, Charles C., Grabe, Hans Jörgen, Paulista Markus, Marcello Ricardo, Lopez, Oscar L, Rotter, Jerome I., Nalls, Michael A., Gottesman, Rebecca F., Griswold, Michael E., Knopman, David S., Windham, B. Gwen, Beiser, Alexa, Vartiainen, Erkki, French, Curtis R., Kurth, Tobias, Psaty, Bruce M., Harris, Tamara B., Rich, Stephen S, deStefano, Anita L., Schmidt, Carsten Oliver, Salomaa, Veikko, Mosley, Thomas H., Ingelsson, Erik, van Duijn, Cornelia M., Tzourio, Christophe, Launer, Lenore J, Ikram, M. Arfan, Chasman, Daniel I., Longstreth, W. T., Jr, Seshadri, Sudha, Debette, Stéphanie, Verhaaren, Benjamin F.J., Debette, Stéphanie, Bis, Joshua C., Smith, Jennifer A., Ikram, M. Kamran, Adams, Hieab H., Beecham, Ashley H., Rajan, Kumar B., Lopez, Lorna M., Barral, Sandra, van Buchem, Mark A., van der Grond, Jeroen, Smith, Albert V., Hegenscheid, Katrin, Aggarwal, Neelum T., de Andrade, Mariza, Atkinson, Elizabeth J., Beekman, Marian, Beiser, Alexa S., Blanton, Susan H., Boerwinkle, Eric, Brickman, Adam M., Bryan, R. Nick, Chauhan, Ganesh, Chen, Christopher P.L.H., Chouraki, Vincent, de Craen, Anton J.M., Crivello, Fabrice, Deary, Ian J., Deelen, Joris, De Jager, Philip L., Dufouil, Carole, Elkind, Mitchell S.V., Evans, Denis A., Freudenberger, Paul, Gottesman, Rebecca F., Guðnason, Vilmundur, Habes, Mohamad, Heckbert, Susan R., Heiss, Gerardo, Hilal, Saima, Hofer, Edith, Hofman, Albert, Ibrahim-Verbaas, Carla A., Knopman, David S., Lewis, Cora E., Liao, Jiemin, Liewald, David C.M., Luciano, Michelle, van der Lugt, Aad, Martinez, Oliver O., Mayeux, Richard, Mazoyer, Bernard, Nalls, Mike, Nauck, Matthias, Niessen, Wiro J., Oostra, Ben A., Psaty, Bruce M., Rice, Kenneth M., Rotter, Jerome I., von Sarnowski, Bettina, Schmidt, Helena, Schreiner, Pamela J., Schuur, Maaike, Sidney, Stephen S., Sigurdsson, Sigurdur, Slagboom, P. Eline, Stott, David J.M., van Swieten, John C., Teumer, Alexander, Töglhofer, Anna Maria, Traylor, Matthew, Trompet, Stella, Turner, Stephen T., Tzourio, Christophe, Uh, Hae-Won, Uitterlinden, André G., Vernooij, Meike W., Wang, Jing J., Wong, Tien Y., Wardlaw, Joanna M., Windham, B. Gwen, Wittfeld, Katharina, Wolf, Christiane, Wright, Clinton B., Yang, Qiong, Zhao, Wei, Zijdenbos, Alex, Jukema, J. Wouter, Sacco, Ralph L., Kardia, Sharon L.R., Amouyel, Philippe, Mosley, Thomas H., Longstreth, W. T., Jr, DeCarli, Charles C., van Duijn, Cornelia M., Schmidt, Reinhold, Launer, Lenore J., Grabe, Hans J., Seshadri, Sudha S., Ikram, M. Arfan, Fornage, Myriam, Bis, Joshua C., Kavousi, Maryam, Franceschini, Nora, Isaacs, Aaron, Abecasis, Gonçalo R, Schminke, Ulf, Post, Wendy, Smith, Albert V., Cupples, L. Adrienne, Markus, Hugh S, Schmidt, Reinhold, Huffman, Jennifer E., Lehtimäki, Terho, Baumert, Jens, Münzel, Thomas, Heckbert, Susan R., Dehghan, Abbas, North, Kari, Oostra, Ben, Bevan, Steve, Stoegerer, Eva-Maria, Hayward, Caroline, Raitakari, Olli, Meisinger, Christa, Schillert, Arne, Sanna, Serena, Völzke, Henry, Cheng, Yu-Ching, Thorsson, Bolli, Fox, Caroline S., Rice, Kenneth, Rivadeneira, Fernando, Nambi, Vijay, Halperin, Eran, Petrovic, Katja E., Peltonen, Leena, Wichmann, H. Erich, Schnabel, Renate B., Dörr, Marcus, Parsa, Afshin, Aspelund, Thor, Demissie, Serkalem, Kathiresan, Sekar, Reilly, Muredach P., Taylor, Kent, Uitterlinden, Andre, Couper, David J., Sitzer, Matthias, Kähönen, Mika, Illig, Thomas, Wild, Philipp S., Orru, Marco, Lüdemann, Jan, Shuldiner, Alan R., Eiriksdottir, Gudny, White, Charles C., Rotter, Jerome I., Hofman, Albert, Seissler, Jochen, Zeller, Tanja, Usala, Gianluca, Ernst, Florian, Launer, Lenore J., DʼAgostino, Ralph B., Sr, OʼLeary, Daniel H., Ballantyne, Christie, Thiery, Joachim, Ziegler, Andreas, Lakatta, Edward G., Chilukoti, Ravi Kumar, Harris, Tamara B., Wolf, Philip A., Psaty, Bruce M., Polak, Joseph F, Li, Xia, Rathmann, Wolfgang, Uda, Manuela, Boerwinkle, Eric, Klopp, Norman, Schmidt, Helena, Wilson, James F, Viikari, Jorma, Koenig, Wolfgang, Blankenberg, Stefan, Newman, Anne B., Witteman, Jacqueline, Heiss, Gerardo, van Duijn, Cornelia, Scuteri, Angelo, Homuth, Georg, Mitchell, Braxton D., Gudnason, Vilmundur, and O’Donnell, Christopher J.
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- 2019
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20. Cystatins – Extra- and intracellular cysteine protease inhibitors: High-level secretion and uptake of cystatin C in human neuroblastoma cells
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Wallin, Hanna, Bjarnadottir, Maria, Vogel, Lotte K., Wassélius, Johan, Ekström, Ulf, and Abrahamson, Magnus
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- 2010
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21. Fetal posterior cerebral artery configurations in an ischemic stroke versus an unselected hospital population.
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Frid, Petrea, Wasselius, Johan, Drake, Mattias, Wu, Ona, Petersson, Jesper, Rost, Natalia S., and Lindgren, Arne
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- *
POSTERIOR cerebral artery , *ISCHEMIC stroke , *STROKE patients - Abstract
Background: Few MRA‐based studies have systematically evaluated the prevalence and laterality of a fetal configuration of the posterior cerebral artery (FTP) in ischemic stroke populations versus other populations. This common variant is important in the setting of acute stroke and secondary prevention decisions. Objective: To determine the prevalence and laterality of FTP configurations in MRI‐DWI verified acute ischemic stroke patients investigated with MRA, and compare the findings with an unselected hospital population investigated with computed tomography angiography (CTA). We also evaluated the association of FTP with posterior cerebral artery (PCA) territory infarctions. Methods: We reviewed the MRAs of 1407 ischemic stroke patients with acute lesions on MRI‐DWI sequences and 546 consecutive CTAs of patients investigated on any indication in a tertiary hospital. The MRA and CTA assessments were made by neuroradiologists blinded to original reports on stroke location and vessel anatomy. Results: The prevalence of any FTP was similar in ischemic stroke patients (31%) and unselected patients (32%). Unilateral FTP was significantly more frequent on the right than on the left side in both groups (15% right vs. 8% left). The presence of FTP ipsilateral to stroke side was not associated with involvement of the PCA territory versus no FTP on the stroke side. Conclusions: FTP is present in approximately 30% of ischemic stroke patients and unselected hospital populations and was detected significantly more frequently on the right versus left side in both groups. PCA territory infarction was not associated with the presence of ipsilateral FTP. [ABSTRACT FROM AUTHOR]
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- 2022
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22. Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients.
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Lampinen, Björn, Lätt, Jimmy, Wasselius, Johan, Westen, Danielle, and Nilsson, Markus
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DIFFUSION magnetic resonance imaging ,ISCHEMIC stroke ,STROKE ,STROKE patients ,TISSUES ,INFARCTION - Abstract
Purpose: Reperfusion therapy enables effective treatment of ischemic stroke presenting within 4–6 hours. However, tissue progression from ischemia to infarction is variable, and some patients benefit from treatment up until 24 hours. Improved imaging techniques are needed to identify these patients. Here, it was hypothesized that time dependence in diffusion MRI may predict tissue outcome in ischemic stroke. Methods: Diffusion MRI data were acquired with multiple diffusion times in five non‐reperfused patients at 2, 9, and 100 days after stroke onset. Maps of "rate of kurtosis change" (k), mean kurtosis, ADC, and fractional anisotropy were derived. The ADC maps defined lesions, normal‐appearing tissue, and the lesion tissue that would either be infarcted or remain viable by day 100. Diffusion parameters were compared (1) between lesions and normal‐appearing tissue, and (2) between lesion tissue that would be infarcted or remain viable. Results: Positive values of k were observed within stroke lesions on day 2 (P =.001) and on day 9 (P =.023), indicating diffusional exchange. On day 100, high ADC values indicated infarction of 50 ± 20% of the lesion volumes. Tissue infarction was predicted by high k values both on day 2 (P =.026) and on day 9 (P =.046), by low mean kurtosis values on day 2 (P =.043), and by low fractional anisotropy values on day 9 (P =.029), but not by low ADC values. Conclusions: Diffusion time dependence predicted tissue outcome in ischemic stroke more accurately than the ADC, and may be useful for predicting reperfusion benefit. [ABSTRACT FROM AUTHOR]
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- 2021
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23. L’âge cérébral radiomique prédit le pronostic fonctionnel après un avc ischémique.
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Bretzner, Martin, Bonkhoff, Anna, Schirmer, Markus, Hong, Sungmin, Dalca, Adrian, Donahue, Kathleen, Giese, Anne-Katrin, Etherton, Mark, Rist, Pamela, Nardin, Marco, Regenhardt, Robert, Leclerc, Xavier, Lopes, Renaud, Gautherot, Morgan, Wang, Clinton, Benavente, Oscar, Cole, John, Donatti, Amanda, Griessenauer, Christoph, Heitsch, Laura, Holmegaard, Lukas, Jood, Katarina, Conde, Jordi Jimenez, Kittner, Steven, Lemmens, Robin, Levi, Christopher, McArdle, Patrick, McDonough, Caitrin, Meshia, James, Phuah, Chia-Ling, Rolfs, Arndt, Ropele, Stefan, Rosand, Jonathan, Roquer, Jaume, Rundek, Tatjana, Sacco, Ralph, Schmidt, Reinhold, Sharma, Pankaj, Slowik, Agnieszka, Sousa, Alessandro, Stanne, Tara, Strbian, Daniel, Tatlisumak, Turgut, Thijs, Vincent, Vagala, Achala, Wasselius, Johan, Woo, Daniel, Wu, Ona, Zand, Ramin, Worrall, Bradford, Maguire, Jane, Lindgren, Arne, Jern, Christina, Golland, Polina, Kuchcinski, Gregory, and Rost, Natalia
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- 2022
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24. Accuracy of uncalibrated 2D digital subtraction angiography measurements on a novel biplane system compared to computed tomography angiography.
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Landström, Lovisa and Wasselius, Johan A
- Abstract
2D digital subtraction angiography (DSA) images are the gold standard for neuroradiological vascular assessment and the basis of interventional procedures such as mechanical thrombectomy and cerebral aneurysm coiling. However, length measurements in projected DSA images are affected by the distance between the x-ray source, the object, and the detector. Precise coordination between all integrated parts of a novel biplane system makes it possible to accurately measure DSA distances without manual calibration. The aim of this study was to compare vascular diameter measurements in uncalibrated DSA images with computed tomography angiography (CTA).Consecutive patients undergoing interventional neuroradiological procedures were retrospectively included. Vascular diameter measurements in the image isocenter and periphery were performed. These measurements were repeated in picture archiving and communication system (PACS) on DSA images and maximum intensity pixel (MIP) CTA images.Forty-two (42) consecutive patients with adequate DSA and CTA images were included in the final analysis. The correlation between vessel diameter measurements in the image isocenter (R2 = 0.81/0.85, p < 0.0001/p < 0.0001
[Reader1/Reader2] ), periphery (R2 = 0.85/0.82, p < 0.0001/p < 0.0001[Reader1/Reader2] ), and all measurements combined (R2 = 0.87/0.87, p < 0.0001/p < 0.0001[Reader1/Reader2] ) on DSA and CTA were strong and statistically significant. The interclass correlation coefficient for measurements performed by two independent reviewers was strong (ICC = 0.96, 95% CI 0.92–0.98).The correlations between uncalibrated DSA measurements and CTA for vessel diameter were strong. In addition, there were strong correlations between these image types for repeated measurements in the image isocenter as well as image periphery for vessel diameter. Consequently, endovascular devices can be sized correctly without the need for pre-operative non-invasive imaging. [ABSTRACT FROM AUTHOR]- Published
- 2023
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25. Postoperative CT Evaluation After EVAR: A Comparison of Image Assessment.
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Törnqvist, Per, Resch, Timothy, Gottsäter, Anders, Malina, Martin, and Wasselius, Johan
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CARDIAC aneurysms ,ANGIOGRAPHY ,COMPUTED tomography - Abstract
Purpose: To compare the postoperative computed tomography angiography (CTA) assessment made by vascular surgeons and interventional radiologists after endovascular aneurysm repair (EVAR) at a tertiary vascular clinic to an outside core review facility.Methods: One hundred patients (mean age 78.7 years, range 88-55; 84 men) with consecutive, elective, routine CTA controls after EVAR were retrospectively studied. Consultant vascular surgeons or radiologists had evaluated all original scans and written the original report. All scans were then reevaluated by an independent core clinic. Findings were classified as vascular or extravascular and stratified as clinically significant or clinically nonsignificant by an independent external reviewer.Results: The number of vascular findings detected by the vascular clinic was 72 vs 69 by the core clinic. The vascular clinic reported more clinically significant findings (primarily stent compression or kinks) as well as endoleaks and their origin. The core clinic reported more pseudoaneurysms (24 vs 12). None of the patients with puncture complications needed reintervention. Interrater analysis of all findings between the 2 clinics showed good agreement when comparing endoleaks overall (without subclassification) and moderate agreement when assessing aneurysm growth. The core clinic reported extravascular findings in 58 patients; 37 of these were classified as clinically significant. The vascular clinic reported extravascular findings in 23 patients; 7 of these were clinically significant. The core clinic also reported 2 cases of suspected malignancies, which had not been reported by the vascular clinic.Conclusion: During routine CTA follow-up after EVAR, a significant number of vascular and nonvascular findings are detected. Whereas a highly dedicated vascular clinic identifies most vascular findings regardless of the specialty of the reader, some extravascular findings are missed. However, the frequency of clinically significant findings or findings that might warrant reintervention was low in this study. [ABSTRACT FROM AUTHOR]- Published
- 2016
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26. Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning.
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Wasselius, Johan, Lyckegård Finn, Eric, Persson, Emma, Ericson, Petter, Brogårdh, Christina, Lindgren, Arne G., Ullberg, Teresa, and Åström, Kalle
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- *
MACHINE learning , *DEEP learning , *ISCHEMIC stroke , *ACCELEROMETERS , *ARTIFICIAL intelligence , *TREATMENT effectiveness , *WRIST , *CEREBRAL arteries - Abstract
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to detect unilateral arm paralysis, a hallmark symptom of stroke, early enough to receive treatment. Classical machine learning algorithms as well as state-of-the-art deep neural networks were evaluated on detection times between 15 min and 120 min. Motion data were collected using triaxial accelerometer bracelets worn on both arms for 24 h. Eighty-four stroke patients with unilateral arm motor impairment and 101 healthy subjects participated in the study. Accelerometer data were divided into data windows of different lengths and analyzed using multiple machine learning algorithms. The results show that all algorithms performed well in separating the two groups early enough to be clinically relevant, based on wrist-worn accelerometers. The two evaluated deep learning models, fully convolutional network and InceptionTime, performed better than the classical machine learning models with an AUC score between 0.947–0.957 on 15 min data windows and up to 0.993–0.994 on 120 min data windows. Window lengths longer than 90 min only marginally improved performance. The difference in performance between the deep learning models and the classical models was statistically significant according to a non-parametric Friedman test followed by a post-hoc Nemenyi test. Introduction of wearable stroke detection devices may dramatically increase the portion of stroke patients eligible for revascularization and shorten the time to treatment. Since the treatment effect is highly time-dependent, early stroke detection may dramatically improve stroke outcomes. [ABSTRACT FROM AUTHOR]
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- 2021
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27. Developmental expression of DCC in the rat retina
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Johansson, Kjell, Törngren, Marie, Wasselius, Johan, Månsson, Lina, and Ehinger, Berndt
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- 2001
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28. Small vessel disease in primary familial brain calcification with novel truncating PDGFB variants.
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Yektay Farahmand M, Wasselius J, Englund E, Braverman I, Puschmann A, and Ilinca A
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- Humans, Proto-Oncogene Proteins c-sis genetics, Proto-Oncogene Proteins c-sis metabolism, Brain diagnostic imaging, Brain pathology, Mutation, Brain Diseases genetics, Brain Diseases pathology, Neurodegenerative Diseases genetics, Neurodegenerative Diseases pathology, Ischemic Attack, Transient diagnostic imaging, Ischemic Attack, Transient genetics, Calcinosis diagnostic imaging, Calcinosis genetics, Stroke diagnostic imaging, Stroke genetics, Stroke pathology
- Abstract
Introduction: Primary familial brain calcification (PFBC) is a neurodegenerative disease characterised by bilateral calcification in the brain, especially in the basal ganglia, leading to neurological and neuropsychiatric manifestations. White matter hyperintensities (WMH) have been described in patients with PFBC and pathogenic variants in the gene for platelet-derived growth factor beta polypeptide (PDGFB), suggesting a manifest cerebrovascular process. We present below the cases of two PFBC families with PDGFB variants and stroke or transient ischaemic attack (TIA) episodes. We examine the possible correlation between PFBC and vascular events as stroke/TIA, and evaluate whether signs for vascular disease in this condition are systemic or limited to the cerebral vessels., Material and Methods: Two Swedish families with novel truncating PDGFB variants, p.Gln140* and p.Arg191*, are described clinically and radiologically. Subcutaneous capillary vessels in affected and unaffected family members were examined by light and electron microscopy., Results: All mutation carriers showed WMH and bilateral brain calcifications. The clinical presentations differed, with movement disorder symptoms dominating in family A, and psychiatric symptoms in family B. However, affected members of both families had stroke, TIA, and/or asymptomatic intracerebral ischaemic lesions. Only one of the patients had classical vascular risk factors. Skin microvasculature was normal., Conclusions: Patients with these PDGFB variants develop microvascular changes in the brain, but not the skin. PDGFB-related small vessel disease can manifest radiologically as cerebral haemorrhage or ischaemia, and may explain TIA or stroke in patients without other vascular risk factors.
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- 2024
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29. The relevance of rich club regions for functional outcome post-stroke is enhanced in women.
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Bonkhoff AK, Schirmer MD, Bretzner M, Hong S, Regenhardt RW, Donahue KL, Nardin MJ, Dalca AV, Giese AK, Etherton MR, Hancock BL, Mocking SJT, McIntosh EC, Attia J, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McDonough CW, Meschia JF, Phuah CL, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Zand R, McArdle PF, Worrall BB, Jern C, Lindgren AG, Maguire J, Wu O, and Rost NS
- Subjects
- Female, Humans, Male, Middle Aged, Bayes Theorem, Brain, Models, Neurological, Ischemic Stroke diagnostic imaging, Ischemic Stroke pathology, Stroke
- Abstract
This study aimed to investigate the influence of stroke lesions in predefined highly interconnected (rich-club) brain regions on functional outcome post-stroke, determine their spatial specificity and explore the effects of biological sex on their relevance. We analyzed MRI data recorded at index stroke and ~3-months modified Rankin Scale (mRS) data from patients with acute ischemic stroke enrolled in the multisite MRI-GENIE study. Spatially normalized structural stroke lesions were parcellated into 108 atlas-defined bilateral (sub)cortical brain regions. Unfavorable outcome (mRS > 2) was modeled in a Bayesian logistic regression framework. Effects of individual brain regions were captured as two compound effects for (i) six bilateral rich club and (ii) all further non-rich club regions. In spatial specificity analyses, we randomized the split into "rich club" and "non-rich club" regions and compared the effect of the actual rich club regions to the distribution of effects from 1000 combinations of six random regions. In sex-specific analyses, we introduced an additional hierarchical level in our model structure to compare male and female-specific rich club effects. A total of 822 patients (age: 64.7[15.0], 39% women) were analyzed. Rich club regions had substantial relevance in explaining unfavorable functional outcome (mean of posterior distribution: 0.08, area under the curve: 0.8). In particular, the rich club-combination had a higher relevance than 98.4% of random constellations. Rich club regions were substantially more important in explaining long-term outcome in women than in men. All in all, lesions in rich club regions were associated with increased odds of unfavorable outcome. These effects were spatially specific and more pronounced in women., (© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)
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- 2023
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30. Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.
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Bretzner M, Bonkhoff AK, Schirmer MD, Hong S, Dalca A, Donahue K, Giese AK, Etherton MR, Rist PM, Nardin M, Regenhardt RW, Leclerc X, Lopes R, Gautherot M, Wang C, Benavente OR, Cole JW, Donatti A, Griessenauer C, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McArdle PF, McDonough CW, Meschia JF, Phuah CL, Rolfs A, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Wu O, Zand R, Worrall BB, Maguire J, Lindgren AG, Jern C, Golland P, Kuchcinski G, and Rost NS
- Subjects
- Child, Female, Humans, Male, Middle Aged, Brain diagnostic imaging, Magnetic Resonance Imaging methods, Brain Ischemia diagnostic imaging, Brain Ischemia complications, Ischemic Stroke complications, Stroke complications
- Abstract
Background and Objectives: While chronological age is one of the most influential determinants of poststroke outcomes, little is known of the impact of neuroimaging-derived biological "brain age." We hypothesized that radiomics analyses of T2-FLAIR images texture would provide brain age estimates and that advanced brain age of patients with stroke will be associated with cardiovascular risk factors and worse functional outcomes., Methods: We extracted radiomics from T2-FLAIR images acquired during acute stroke clinical evaluation. Brain age was determined from brain parenchyma radiomics using an ElasticNet linear regression model. Subsequently, relative brain age (RBA), which expresses brain age in comparison with chronological age-matched peers, was estimated. Finally, we built a linear regression model of RBA using clinical cardiovascular characteristics as inputs and a logistic regression model of favorable functional outcomes taking RBA as input., Results: We reviewed 4,163 patients from a large multisite ischemic stroke cohort (mean age = 62.8 years, 42.0% female patients). T2-FLAIR radiomics predicted chronological ages (mean absolute error = 6.9 years, r = 0.81). After adjustment for covariates, RBA was higher and therefore described older-appearing brains in patients with hypertension, diabetes mellitus, a history of smoking, and a history of a prior stroke. In multivariate analyses, age, RBA, NIHSS, and a history of prior stroke were all significantly associated with functional outcome (respective adjusted odds ratios: 0.58, 0.76, 0.48, 0.55; all p -values < 0.001). Moreover, the negative effect of RBA on outcome was especially pronounced in minor strokes., Discussion: T2-FLAIR radiomics can be used to predict brain age and derive RBA. Older-appearing brains, characterized by a higher RBA, reflect cardiovascular risk factor accumulation and are linked to worse outcomes after stroke., (© 2022 American Academy of Neurology.)
- Published
- 2023
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31. Deep profiling of multiple ischemic lesions in a large, multi-center cohort: Frequency, spatial distribution, and associations to clinical characteristics.
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Bonkhoff AK, Ullberg T, Bretzner M, Hong S, Schirmer MD, Regenhardt RW, Donahue KL, Nardin MJ, Dalca AV, Giese AK, Etherton MR, Hancock BL, Mocking SJT, McIntosh EC, Attia J, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McDonough CW, Meschia JF, Phuah CL, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Woo D, Zand R, McArdle PF, Worrall BB, Jern C, Lindgren AG, Maguire J, Wu O, Frid P, Rost NS, and Wasselius J
- Abstract
Background Purpose: A substantial number of patients with acute ischemic stroke (AIS) experience multiple acute lesions (MAL). We here aimed to scrutinize MAL in a large radiologically deep-phenotyped cohort., Materials and Methods: Analyses relied upon imaging and clinical data from the international MRI-GENIE study. Imaging data comprised both Fluid-attenuated inversion recovery (FLAIR) for white matter hyperintensity (WMH) burden estimation and diffusion-weighted imaging (DWI) sequences for the assessment of acute stroke lesions. The initial step featured the systematic evaluation of occurrences of MAL within one and several vascular supply territories. Associations between MAL and important imaging and clinical characteristics were subsequently determined. The interaction effect between single and multiple lesion status and lesion volume was estimated by means of Bayesian hierarchical regression modeling for both stroke severity and functional outcome., Results: We analyzed 2,466 patients (age = 63.4 ± 14.8, 39% women), 49.7% of which presented with a single lesion. Another 37.4% experienced MAL in a single vascular territory, while 12.9% featured lesions in multiple vascular territories. Within most territories, MAL occurred as frequently as single lesions (ratio ∼1:1). Only the brainstem region comprised fewer patients with MAL (ratio 1:4). Patients with MAL presented with a significantly higher lesion volume and acute NIHSS (7.7 vs. 1.7 ml and 4 vs. 3, p
FDR < 0.001). In contrast, patients with a single lesion were characterized by a significantly higher WMH burden (6.1 vs. 5.3 ml, pFDR = 0.048). Functional outcome did not differ significantly between patients with single versus multiple lesions. Bayesian analyses suggested that the association between lesion volume and stroke severity between single and multiple lesions was the same in case of anterior circulation stroke. In case of posterior circulation stroke, lesion volume was linked to a higher NIHSS only among those with MAL., Conclusion: Multiple lesions, especially those within one vascular territory, occurred more frequently than previously reported. Overall, multiple lesions were distinctly linked to a higher acute stroke severity, a higher total DWI lesion volume and a lower WMH lesion volume. In posterior circulation stroke, lesion volume was linked to a higher stroke severity in multiple lesions only., Competing Interests: ME had received personal fees for consulting from Astra Zeneca and WorldCare Clinical Group. CG had received consulting honoraria from Microvention and Strykere and research funding from Medtronic and Penumbra. AV had received research funding from Cerenovus. AL had received personal fees from Bayer, Astra Zeneca, BMS Pfizer, and Portola. NR had received compensation as scientific advisory consultant from Omniox, Sanofi Genzyme and AbbVie Inc. TU received personal fees for consulting from AstraZeneca. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Bonkhoff, Ullberg, Bretzner, Hong, Schirmer, Regenhardt, Donahue, Nardin, Dalca, Giese, Etherton, Hancock, Mocking, McIntosh, Attia, Cole, Donatti, Griessenauer, Heitsch, Holmegaard, Jood, Jimenez-Conde, Kittner, Lemmens, Levi, McDonough, Meschia, Phuah, Ropele, Rosand, Roquer, Rundek, Sacco, Schmidt, Sharma, Slowik, Sousa, Stanne, Strbian, Tatlisumak, Thijs, Vagal, Woo, Zand, McArdle, Worrall, Jern, Lindgren, Maguire, Wu, Frid, Rost and Wasselius.)- Published
- 2022
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32. Sex-specific lesion pattern of functional outcomes after stroke.
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Bonkhoff AK, Bretzner M, Hong S, Schirmer MD, Cohen A, Regenhardt RW, Donahue KL, Nardin MJ, Dalca AV, Giese AK, Etherton MR, Hancock BL, Mocking SJT, McIntosh EC, Attia J, Benavente OR, Bevan S, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McDonough CW, Meschia JF, Phuah CL, Rolfs A, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Söderholm M, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Zand R, McArdle PF, Worrall BB, Jern C, Lindgren AG, Maguire J, Fox MD, Bzdok D, Wu O, and Rost NS
- Abstract
Stroke represents a considerable burden of disease for both men and women. However, a growing body of literature suggests clinically relevant sex differences in the underlying causes, presentations and outcomes of acute ischaemic stroke. In a recent study, we reported sex divergences in lesion topographies: specific to women, acute stroke severity was linked to lesions in the left-hemispheric posterior circulation. We here determined whether these sex-specific brain manifestations also affect long-term outcomes. We relied on 822 acute ischaemic patients [age: 64.7 (15.0) years, 39% women] originating from the multi-centre MRI-GENIE study to model unfavourable outcomes (modified Rankin Scale >2) based on acute neuroimaging data in a Bayesian hierarchical framework. Lesions encompassing bilateral subcortical nuclei and left-lateralized regions in proximity to the insula explained outcomes across men and women (area under the curve = 0.81). A pattern of left-hemispheric posterior circulation brain regions, combining left hippocampus, precuneus, fusiform and lingual gyrus, occipital pole and latero-occipital cortex, showed a substantially higher relevance in explaining functional outcomes in women compared to men [mean difference of Bayesian posterior distributions (men - women) = -0.295 (90% highest posterior density interval = -0.556 to -0.068)]. Once validated in prospective studies, our findings may motivate a sex-specific approach to clinical stroke management and hold the promise of enhancing outcomes on a population level., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.)
- Published
- 2022
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33. Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke.
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Hong S, Giese AK, Schirmer MD, Bonkhoff AK, Bretzner M, Rist P, Dalca AV, Regenhardt RW, Etherton MR, Donahue KL, Nardin M, Mocking SJT, McIntosh EC, Attia J, Benavente OR, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Roquer J, Kittner SJ, Lemmens R, Levi CR, McDonough CW, Meschia JF, Phuah CL, Rolfs A, Ropele S, Rosand J, Rundek T, Sacco RL, Schmidt R, Enzinger C, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Zand R, McArdle PF, Worrall BB, Wu O, Jern C, Lindgren AG, Maguire J, Tomppo L, Golland P, and Rost NS
- Abstract
Objective: To personalize the prognostication of post-stroke outcome using MRI-detected cerebrovascular pathology, we sought to investigate the association between the excessive white matter hyperintensity (WMH) burden unaccounted for by the traditional stroke risk profile of individual patients and their long-term functional outcomes after a stroke. Methods: We included 890 patients who survived after an acute ischemic stroke from the MRI-Genetics Interface Exploration (MRI-GENIE) study, for whom data on vascular risk factors (VRFs), including age, sex, atrial fibrillation, diabetes mellitus, hypertension, coronary artery disease, smoking, prior stroke history, as well as acute stroke severity, 3- to-6-month modified Rankin Scale score (mRS), WMH, and brain volumes, were available. We defined the unaccounted WMH (uWMH) burden via modeling of expected WMH burden based on the VRF profile of each individual patient. The association of uWMH and mRS score was analyzed by linear regression analysis. The odds ratios of patients who achieved full functional independence (mRS < 2) in between trichotomized uWMH burden groups were calculated by pair-wise comparisons. Results: The expected WMH volume was estimated with respect to known VRFs. The uWMH burden was associated with a long-term functional outcome (β = 0.104, p < 0.01). Excessive uWMH burden significantly reduced the odds of achieving full functional independence after a stroke compared to the low and average uWMH burden [OR = 0.4, 95% CI: (0.25, 0.63), p < 0.01 and OR = 0.61, 95% CI: (0.42, 0.87), p < 0.01, respectively]. Conclusion: The excessive amount of uWMH burden unaccounted for by the traditional VRF profile was associated with worse post-stroke functional outcomes. Further studies are needed to evaluate a lifetime brain injury reflected in WMH unrelated to the VRF profile of a patient as an important factor for stroke recovery and a plausible indicator of brain health., Competing Interests: AR was employed by Centogene AG, Germany. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Hong, Giese, Schirmer, Bonkhoff, Bretzner, Rist, Dalca, Regenhardt, Etherton, Donahue, Nardin, Mocking, McIntosh, Attia, Benavente, Cole, Donatti, Griessenauer, Heitsch, Holmegaard, Jood, Jimenez-Conde, Roquer, Kittner, Lemmens, Levi, McDonough, Meschia, Phuah, Rolfs, Ropele, Rosand, Rundek, Sacco, Schmidt, Enzinger, Sharma, Slowik, Sousa, Stanne, Strbian, Tatlisumak, Thijs, Vagal, Wasselius, Woo, Zand, McArdle, Worrall, Wu, Jern, Lindgren, Maguire, Tomppo, Golland, Rost and the MRI-GENIE and GISCOME Investigators and the International Stroke Genetics Consortium.)
- Published
- 2021
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34. MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes.
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Bretzner M, Bonkhoff AK, Schirmer MD, Hong S, Dalca AV, Donahue KL, Giese AK, Etherton MR, Rist PM, Nardin M, Marinescu R, Wang C, Regenhardt RW, Leclerc X, Lopes R, Benavente OR, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McArdle PF, McDonough CW, Meschia JF, Phuah CL, Rolfs A, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Wu O, Zand R, Worrall BB, Maguire JM, Lindgren A, Jern C, Golland P, Kuchcinski G, and Rost NS
- Abstract
Objective: Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and clinical phenotypes., Methods: We analyzed a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images with total brain and WMH segmentations. Radiomic features were extracted from normal-appearing brain tissue (brain mask-WMH mask). Radiomics-based prediction of personalized WMH burden was done using ElasticNet linear regression. We built a radiomic signature of WMH with stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA)., Results: Radiomic features were predictive of WMH burden ( R
2 = 0.855 ± 0.011). Seven pairs of canonical variates (CV) significantly correlated the radiomics signature of WMH and clinical traits with respective canonical correlations of 0.81, 0.65, 0.42, 0.24, 0.20, 0.15, and 0.15 (FDR-corrected p -valuesCV 1 - 6 < 0.001, p -valueCV 7 = 0.012). The clinical CV1 was mainly influenced by age, CV2 by sex, CV3 by history of smoking and diabetes, CV4 by hypertension, CV5 by atrial fibrillation (AF) and diabetes, CV6 by coronary artery disease (CAD), and CV7 by CAD and diabetes., Conclusion: Radiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes, suggesting different radiographical textural abnormalities per cardiovascular risk profile. Further research could evaluate radiomics to predict the progression of WMH and for the follow-up of stroke patients' brain health., Competing Interests: AR was employed by the company Centogene GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Bretzner, Bonkhoff, Schirmer, Hong, Dalca, Donahue, Giese, Etherton, Rist, Nardin, Marinescu, Wang, Regenhardt, Leclerc, Lopes, Benavente, Cole, Donatti, Griessenauer, Heitsch, Holmegaard, Jood, Jimenez-Conde, Kittner, Lemmens, Levi, McArdle, McDonough, Meschia, Phuah, Rolfs, Ropele, Rosand, Roquer, Rundek, Sacco, Schmidt, Sharma, Slowik, Sousa, Stanne, Strbian, Tatlisumak, Thijs, Vagal, Wasselius, Woo, Wu, Zand, Worrall, Maguire, Lindgren, Jern, Golland, Kuchcinski and Rost.)- Published
- 2021
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35. Outcome after acute ischemic stroke is linked to sex-specific lesion patterns.
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Bonkhoff AK, Schirmer MD, Bretzner M, Hong S, Regenhardt RW, Brudfors M, Donahue KL, Nardin MJ, Dalca AV, Giese AK, Etherton MR, Hancock BL, Mocking SJT, McIntosh EC, Attia J, Benavente OR, Bevan S, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McDonough CW, Meschia JF, Phuah CL, Rolfs A, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Söderholm M, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Zand R, McArdle PF, Worrall BB, Jern C, Lindgren AG, Maguire J, Bzdok D, Wu O, and Rost NS
- Subjects
- Aged, Aged, 80 and over, Bayes Theorem, Brain Mapping, Brain Stem blood supply, Brain Stem diagnostic imaging, Cerebral Revascularization methods, Cohort Studies, Female, Humans, Image Processing, Computer-Assisted, Ischemic Stroke diagnostic imaging, Ischemic Stroke therapy, Magnetic Resonance Imaging, Male, Middle Aged, Risk Factors, Sensorimotor Cortex blood supply, Sensorimotor Cortex diagnostic imaging, Severity of Illness Index, Sex Factors, Thalamus blood supply, Thalamus diagnostic imaging, Treatment Outcome, Brain Stem pathology, Ischemic Stroke pathology, Sensorimotor Cortex pathology, Thalamus pathology
- Abstract
Acute ischemic stroke affects men and women differently. In particular, women are often reported to experience higher acute stroke severity than men. We derived a low-dimensional representation of anatomical stroke lesions and designed a Bayesian hierarchical modeling framework tailored to estimate possible sex differences in lesion patterns linked to acute stroke severity (National Institute of Health Stroke Scale). This framework was developed in 555 patients (38% female). Findings were validated in an independent cohort (n = 503, 41% female). Here, we show brain lesions in regions subserving motor and language functions help explain stroke severity in both men and women, however more widespread lesion patterns are relevant in female patients. Higher stroke severity in women, but not men, is associated with left hemisphere lesions in the vicinity of the posterior circulation. Our results suggest there are sex-specific functional cerebral asymmetries that may be important for future investigations of sex-stratified approaches to management of acute ischemic stroke.
- Published
- 2021
- Full Text
- View/download PDF
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