Tract specific analysis in patients with sickle cell disease

Yaqiong Chai; Julie Coloigner; Xiaoping Qu; Soyoung Choi; Adam Bush; Matt Borzage; Chau Vu; Natasha Lepore; John Wood

doi:10.1117/12.2213617

22 December 2015 Tract specific analysis in patients with sickle cell disease

Yaqiong Chai, Julie Coloigner, Xiaoping Qu, Soyoung Choi, Adam Bush, Matt Borzage, Chau Vu, Natasha Lepore, John Wood

Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 968108 (2015) https://doi.org/10.1117/12.2213617
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador

Abstract

Sickle cell disease (SCD) is a hereditary blood disorder in which the oxygen-carrying hemoglobin molecule in red blood cells is abnormal. It affects numerous people in the world and leads to a shorter life span, pain, anemia, serious infections and neurocognitive decline. Tract-Specific Analysis (TSA) is a statistical method to evaluate white matter alterations due to neurocognitive diseases, using diffusion tensor magnetic resonance images. Here, for the first time, TSA is used to compare 11 major brain white matter (WM) tracts between SCD patients and age-matched healthy subjects. Alterations are found in the corpus callosum (CC), the cortico-spinal tract (CST), inferior fronto-occipital fasciculus (IFO), inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus (SLF), and uncinated fasciculus (UNC). Based on previous studies on the neurocognitive functions of these tracts, the significant areas found in this paper might be related to several cognitive impairments and depression, both of which are observed in SCD patients.

Citation Download Citation

Yaqiong Chai, Julie Coloigner, Xiaoping Qu, Soyoung Choi, Adam Bush, Matt Borzage, Chau Vu, Natasha Lepore, and John Wood "Tract specific analysis in patients with sickle cell disease ", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 968108 (22 December 2015); https://doi.org/10.1117/12.2213617

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