Abstract #2220

The relationship between skeletal muscle DTI metrics and athletic performance in track and field sprinters

Takuya Ozawa¹, Koji Kamagata¹, Shuhei Shibukawa², Masaya Takahashi^1,2, Kaito Takabayashi¹, Wataru Uchida^1,3, Takafumi Kitagawa¹, Rui Zou¹, Koyo Mizuta¹, Akifumi Hagiwara¹, Moto Nakaya^1,4, Ko Yamanaka⁵, Jimmy Kim⁵, Nobuaki Mizuguchi⁶, Kazuhiko Yamazaki⁵, Takafumi Iwasaki⁵, Hidefumi Waki⁵, and Shigeki Aoki^1,3

¹Department of Radiology, Graduate School of Medicine, Juntendo University, Tokyo, Japan, ²Department of Radiological Technology, Faculty of Health Science, Juntendo University, Tokyo, Japan, ³Faculty of Health Data Science, Juntendo University, Chiba, Japan, ⁴Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan, ⁵Department of Physiology, Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan, ⁶Juntendo Administration for Sports, Health and Medical Sciences, Juntendo University, Tokyo, Japan

Synopsis

Keywords: Muscle, MSK

Motivation: To optimize athletic performance, it is needed to understand the characteristics of muscles. Diffusion tensor imaging (DTI) can reveal muscle microstructure.

Goal(s): To clarify the relationship between changes in DTI metrics of the tibialis anterior (TA) after dorsiflexion exercise and Wingate test metrics, which assess anaerobic capacity, and athletic records.

Approach: Twenty male sprinters underwent MRI scans before and after dorsiflexion exercise. DTI metrics and the cross-sectional area (CSA) of the TA were analyzed for correlations with performance metrics.

Results: λ₃ before exercise showed positive significant correlation with athletic records. CSA consistently showed significant correlations with the Wingate power and peak power.

Impact: Our findings demonstrated that DTI has the potential to evaluate muscle microstructure and for developing training strategies and optimizing performance.

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