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Lopes, Renaud

0000-0002-2425-2283

Mayo Clinic

Inserm

Citations 1

Radiomics Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke
Bretzner, Martin , Bonkhoff, Anna K. , Schirmer, Markus D. , Hong, Sung‐Min , Donahue, Kathleen, Etherton, Mark R. , Rist, Pamela M. , Nardin, Marco, Regenhardt, Robert W. , Leclerc, X. , Gautherot, Morgan , Wang, Clinton, Benavente, Oscar, Donatti, Amanda , Heitsch, Laura , Jiménez-Conde, Jordi , Kittner, Steven J. , McArdle, Patrick, Rolfs, Arndt , Schmidt, Reinhold, Sharma, Pankaj , Słowik, Agnieszka , Sousa, Alessandro Viana Oliveira e, Strbian, Daniel , Wassélius, Johan , Woo, Daniel , Worrall, Bradford B. , Maguire, Jane , Golland, Polina , Kuchcinski, Grégory , Rost, Natalia S. , Bretzner, Martin , Strbian, Daniel , Regenhardt, Robert W , Dalca, Adrian Vasile , Giese, Anne‐Katrin , Lopes, Renaud , Cole, John W. , Griessenauer, Christoph J. , Holmegaard, Lukas , Jood, Katarina , Lemmens, Robin , Levi, Christopher , McDonough, Caitrin W. , Meschia, James F. , Phuah, Chia‐Ling , Ropele, Stefan , Rosand, Jonathan M. , Roquer, Jaume , Rundek, Tatjana , Sacco, Ralph L. , Sousa, Alessandro Augusto Viana Oliveira e, Stanne, Tara M. , Tatlisumak, Turgut , Thijs, Vincent , Vagal, Achala , Wu, Ona , Zand, Ramin , Lindgren, Arne G. , Jern, Christina

No container title available | September 24, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-923769/v1 Get It

Abstract While chronological age is one of the most influential determinants of post-stroke outcomes, little is known of the impact of neuroimaging-derived biological brain age. We here first examine whether radiomics analysis of the texture of brain T2-FLAIR MRI images can be used to predict brain age in stroke patients. We then assess the clinical determinants of accelerated brain aging and, finally, its impact on post-stroke functional outcomes. Leveraging a multisite cohort of 4,163 ischemic stroke patients, we show that older-appearing patients have more hypertension, diabetes mellitus, prior strokes, and smoking history and are more likely to develop worse post-stroke outcomes than their younger-appearing counterparts. Our results strengthen the importance of preventive medicine for maintaining brain health in stroke patients as they age and suggest a novel methodology to capture previously undescribed prognostic information available on commonly acquired MRI sequences during routine stroke care.