<p>White matter hyperintensity, a key imaging biomarker for brain health, has prognostic implications for stroke. Using a multicenter MRI dataset of 9179 stroke patients plus the UK Biobank (n = 36,210 low/high risk controls), we employ Subtype and Stage Inference modeling and identify three distinct white matter hyperintensity progression subtypes: fronto-parietal, radial, and temporo-occipital. Longitudinal validation confirms classification stability. The fronto-parietal subtype shows delayed onset and more hypertension, while the temporo-occipital subtype has more atrial fibrillation and coronary heart disease. The fronto-parietal and radial subtypes are linked to small vessel stroke, while the temporo-occipital subtype is linked to cardioembolism. The fronto-parietal subtype has higher 1-year ischemic stroke recurrence, while the temporo-occipital subtype shows a higher incidence of early neurological deterioration by symptomatic hemorrhagic transformation and worse 3-month outcomes. Beyond capturing progression, demographics, and vascular risks, and improving post-stroke outcome prediction, this subtyping–staging model also holds potential for stroke prediction.</p>

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Distinct spatiotemporal patterns of white matter hyperintensity progression

  • Jinyong Chung,
  • Gilsoon Park,
  • Wi-Sun Ryu,
  • Dawid Schellingerhout,
  • Hang-Rai Kim,
  • Dong-Seok Gwak,
  • Elizabeth Haddad,
  • Neda Jahanshad,
  • Beom Joon Kim,
  • Keun-Sik Hong,
  • Hyerin Oh,
  • Sang-Wuk Jeong,
  • Joon-Tae Kim,
  • Man Seok Park,
  • Kang-Ho Choi,
  • Kyungbok Lee,
  • Tai Hwan Park,
  • Sang-Soon Park,
  • Jong-Moo Park,
  • Kyusik Kang,
  • Kyung-Ho Yu,
  • Mi Sun Oh,
  • Soo Joo Lee,
  • Jae Guk Kim,
  • Jae-Kwan Cha,
  • Dae-Hyun Kim,
  • Jun Lee,
  • Moon-Ku Han,
  • Yong-Jin Cho,
  • Byung-Chul Lee,
  • Philip M. Bath,
  • Joanna M. Wardlaw,
  • Hee-Joon Bae,
  • Hosung Kim,
  • Dong-Eog Kim

摘要

White matter hyperintensity, a key imaging biomarker for brain health, has prognostic implications for stroke. Using a multicenter MRI dataset of 9179 stroke patients plus the UK Biobank (n = 36,210 low/high risk controls), we employ Subtype and Stage Inference modeling and identify three distinct white matter hyperintensity progression subtypes: fronto-parietal, radial, and temporo-occipital. Longitudinal validation confirms classification stability. The fronto-parietal subtype shows delayed onset and more hypertension, while the temporo-occipital subtype has more atrial fibrillation and coronary heart disease. The fronto-parietal and radial subtypes are linked to small vessel stroke, while the temporo-occipital subtype is linked to cardioembolism. The fronto-parietal subtype has higher 1-year ischemic stroke recurrence, while the temporo-occipital subtype shows a higher incidence of early neurological deterioration by symptomatic hemorrhagic transformation and worse 3-month outcomes. Beyond capturing progression, demographics, and vascular risks, and improving post-stroke outcome prediction, this subtyping–staging model also holds potential for stroke prediction.