{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T15:24:46Z","timestamp":1787757886573,"version":"build-2784847793"},"reference-count":57,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title\/>\n                    <jats:p>Cerebral small vessel disease (SVD) is the most common age-related brain pathology. Magnetic resonance imaging (MRI) is the reference standard for identifying SVD biomarkers, including white matter hyperintensity, recent small subcortical infarcts, lacunes, perivascular spaces, cerebral microbleeds, and cortical superficial siderosis. However, SVD is usually detected only when patients undergo conventional high-field MRI, limiting early identification, longitudinal monitoring, and equitable access to brain health evaluation. Low-field portable MRI systems (&lt;0.1T) offer point-of-care acquisition with reduced infrastructure requirements and have demonstrated concordance with conventional MRI for multiple acute brain pathologies. We review the emerging evidence for portable MRI\u2013based detection of SVD features, with an emphasis on white matter hyperintensity. Future portable MRI work on SVD should prioritize longitudinal validation, standardized reporting, and integration into pragmatic vascular prevention trials.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/strokeaha.126.052981","type":"journal-article","created":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T09:00:12Z","timestamp":1784624412000},"page":"2604-2610","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Role of Low-Field Portable MRI in Small Vessel Disease Identification"],"prefix":"10.1161","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8178-8597","authenticated-orcid":true,"given":"Adam","family":"de Havenon","sequence":"first","affiliation":[{"name":"Department of Neurology (A.d.H.), Yale University, New Haven, CT."},{"name":"Center for Brain and Mind Health (A.d.H.), Yale University, New Haven, CT."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7390-9918","authenticated-orcid":true,"given":"Matthew J.","family":"Huentelmen","sequence":"additional","affiliation":[{"name":"Division of Early Detection and Prevention, Translational Genomics Research Institute, Phoenix, AZ (M.J.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11883-019-0799-1"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1177\/17474930221144911"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.122.038265"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000068408.82115.D2"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa022066"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awh553"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2018.3122"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(23)00131-X"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(13)70124-8"},{"key":"e_1_3_2_11_2","first-page":"1273","article-title":"Prevalence and anatomic characteristics of infarct-like lesions on MR images of middle-aged adults: the atherosclerosis risk in communities study.","volume":"20","author":"Bryan RN","year":"1999","unstructured":"Bryan RN, Cai J, Burke G, Hutchinson RG, Liao D, Toole JF, Dagher AP, Cooper L. 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