Abstract #3114

The evaluation of white matter lesion with 3D-T1 weighted imaging for predicting dementia

Rinako Iseki^1,2, Koji Kamagata¹, Yuya Saito¹, Seina Yoshida^1,2, Christina Anidica^1,3, Wataru Uchida¹, Kaito Takabayashi¹, Rui Zou^1,3, Takafumi Kitagawa^1,3, Takuya Ozawa¹, Akifumi Hagiwara¹, Toshiaki Akashi¹, Akihiko Wada¹, and Shigeki Aoki^1,3,4

¹Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, ²Department of Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan, ³Department of Data Science, Juntendo University Graduate School of Medicine,, Tokyo, Japan, ⁴Faculty of Health Data Science, Juntendo University Graduate School of Medicine,, Chiba, Japan

Synopsis

Keywords: Segmentation, Segmentation, Dementia, Alzheimer's disease, Brain, White matter, Neuro

Motivation: Evaluating cognitive function-related white matter lesions (WML) conventionally requires 3D fluid attenuated inversion recovery (3D-FLAIR), which isn't always available. We aimed to explore the suitability of routinely acquired 3D-T1 weighted images (3D-T1WI) for WML assessment.

Goal(s): This study investigated whether 3D-T1WI could replace 3D-FLAIR in WML assessment.

Approach: We compared the correlation coefficient, ICC, and DSC of WML volume between 3D-FLAIR and 3D-T1WI, as well as its correlation with cognitive scores.

Results: WML based on 3D-T1WI strongly correlated with WML based on 3D-FLAIR, with high ICC, DSC, and cognitive score associations, indicating the potential of 3D-T1WI for WML assessment alternative to 3D-FLAIR.

Impact: White matter lesions (WML) based on 3D-T1 weighted images (3D-T1WI) closely matched 3D-fluid attenuated inversion recovery (3D-FLAIR) in WML area, volume, and cognitive function associations. It is suggested 3D-T1WI is valuable alternative to 3D-FLAIR for WML volume assessment.

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