Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease

Yaqiong Chai, Yi Lao, Yicen Li, Chaoran Ji, Sharon O'Neil, Yalin Wang, Natasha Lepore, John Wood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sickle cell disease (SCD) is a genetic hematological disease in which the hemoglobin molecule in red blood cells is abnormal. It is closely associated with many symptoms, including pain, anemia, chest syndrome and neurocognitive impairment. One of the most debilitating symptoms is elevated risk for cerebro-vascular accidents. The corpus callosum (CC), as the largest and most prominent white matter (WM) structure in the brain, can reflect the chronic cerebrovascular damage resulting from silent strokes or infarctions in asymptomatic SCD patients. While a lot of studies have reported WM alterations in this cohort, little is known about the shape deformation of the CC. Here we perform the first surface morphometry analysis of the CC in SCD patients using four different shape metrics on T1-weighted magnetic resonance images. We detect regional surface morphological differences in the CC between 11 patients and 10 healthy control subjects. Differences are located in the genu, posterior midbody and splenium, potentially casting light on the anatomical substrates underlying neuropsychological test differences between the SCD and control groups.

Original languageEnglish (US)
Title of host publication12th International Symposium on Medical Information Processing and Analysis
PublisherSPIE
Volume10160
ISBN (Electronic)9781510607781
DOIs
StatePublished - 2017
Event12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016 - Tandil, Argentina
Duration: Dec 5 2016Dec 7 2016

Other

Other12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016
CountryArgentina
CityTandil
Period12/5/1612/7/16

Fingerprint

Cell
cells
infarction
Morphometry
anemias
Infarction
Red Blood Cells
Magnetic Resonance Image
Hemoglobin
pain
chest
impairment
Surface analysis
hemoglobin
Pain
erythrocytes
Magnetic resonance
Casting
accidents
strokes

Keywords

  • And multivariate tensor based morphometry
  • Corpus callosum
  • Sickle cell disease

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Chai, Y., Lao, Y., Li, Y., Ji, C., O'Neil, S., Wang, Y., ... Wood, J. (2017). Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease. In 12th International Symposium on Medical Information Processing and Analysis (Vol. 10160). [101600A] SPIE. https://doi.org/10.1117/12.2257399

Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease. / Chai, Yaqiong; Lao, Yi; Li, Yicen; Ji, Chaoran; O'Neil, Sharon; Wang, Yalin; Lepore, Natasha; Wood, John.

12th International Symposium on Medical Information Processing and Analysis. Vol. 10160 SPIE, 2017. 101600A.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chai, Y, Lao, Y, Li, Y, Ji, C, O'Neil, S, Wang, Y, Lepore, N & Wood, J 2017, Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease. in 12th International Symposium on Medical Information Processing and Analysis. vol. 10160, 101600A, SPIE, 12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016, Tandil, Argentina, 12/5/16. https://doi.org/10.1117/12.2257399
Chai Y, Lao Y, Li Y, Ji C, O'Neil S, Wang Y et al. Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease. In 12th International Symposium on Medical Information Processing and Analysis. Vol. 10160. SPIE. 2017. 101600A https://doi.org/10.1117/12.2257399
Chai, Yaqiong ; Lao, Yi ; Li, Yicen ; Ji, Chaoran ; O'Neil, Sharon ; Wang, Yalin ; Lepore, Natasha ; Wood, John. / Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease. 12th International Symposium on Medical Information Processing and Analysis. Vol. 10160 SPIE, 2017.
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