A Promising Subject-Level Classification Model for Acute Concussion Based on Cerebrovascular Reactivity Metrics

التفاصيل البيبلوغرافية
العنوان: A Promising Subject-Level Classification Model for Acute Concussion Based on Cerebrovascular Reactivity Metrics
المؤلفون: Tharshini Chandra, Julien Poublanc, Lesley Ruttan, Maria Carmela Tartaglia, Reema Shafi, Joseph A. Fisher, Larissa McKetton, Paul Comper, Olivia Sobczyk, Charles H. Tator, W. Alan C. Mutch, James Duffin, Evan Foster, Lashmi Venkatraghavan, David J. Mikulis, Mark T. Bayley, Adrian P. Crawley
المصدر: Journal of Neurotrauma. 38:1036-1047
بيانات النشر: Mary Ann Liebert Inc, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Adult, Male, 030506 rehabilitation, medicine.medical_specialty, Traumatic brain injury, Stimulus (physiology), Cohort Studies, White matter, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Concussion, Humans, Medicine, Prospective Studies, Brain Concussion, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Brain, Magnetic resonance imaging, Blood flow, medicine.disease, medicine.anatomical_structure, Cerebral blood flow, Blood-Brain Barrier, Case-Control Studies, Cerebrovascular Circulation, Cardiology, Female, Neurology (clinical), 0305 other medical science, business, 030217 neurology & neurosurgery
الوصف: Concussion imaging research has primarily focused on neuronal disruption with lesser emphasis directed toward vascular dysfunction. However, blood flow metrics may be more sensitive than measures of neuronal integrity. Vascular dysfunction can be assessed by measuring cerebrovascular reactivity (CVR)-the change in cerebral blood flow per unit change in vasodilatory stimulus. CVR metrics, including speed and magnitude of flow responses to a standardized well-controlled vasoactive stimulus, are potentially useful for assessing individual subjects following concussion given that blood flow dysregulation is known to occur with traumatic brain injury. We assessed changes in CVR metrics to a standardized vasodilatory stimulus during the acute phase of concussion. Using a case control design, 20 concussed participants and 20 healthy controls (HCs) underwent CVR assessment measuring blood oxygen-level dependent (BOLD) magnetic resonance imaging using precise changes in end-tidal partial pressure of CO2 (PETCO2). Metrics were calculated for the whole brain, gray matter (GM), and white matter (WM) using sex-stratification. A leave-one-out receiver operating characteristic (ROC) analysis classified concussed from HCs based on CVR metrics. CVR magnitude was greater and speed of response faster in concussed participants relative to HCs, with WM showing higher classification accuracy compared with GM. ROC analysis for WM-CVR metrics revealed an area under the curve of 0.94 in males and 0.90 in females for speed and magnitude of response respectively. These greater than normal responses to a vasodilatory stimulus warrant further investigation to compare the predictive ability of CVR metrics against structural injury metrics for diagnosis and prognosis in acute concussion.
تدمد: 1557-9042
0897-7151
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53383c58ef49dc23f6e8dca3f3bcc74eTest
https://doi.org/10.1089/neu.2020.7272Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....53383c58ef49dc23f6e8dca3f3bcc74e
قاعدة البيانات: OpenAIRE