364-03-008 ISMRM Abstract

Slow diffusion coefficient (SDC) for parotid gland tumors

Primary: Diffusion - DWI/DTI/DKI

Secondary: Diffusion - Diffusion Modeling

364-03-008 · Diffusion MRI Applications in Disease · Monday, 11 May, 1:50 PM–2:45 PM · Digital Posters Row E

Keywords: Perfusion Diffusion-weighted MRI Parotid Gland Tumors Slow diffusion coefficient Diffusion derived vessel density

Accepted

DIANQI YAO ¹, Ann Dorothy King¹, Yixiang Wang¹

¹The Chinese University of Hong Kong, Shatin, Hong Kong

Presenting Author: DIANQI YAO

Synopsis

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References

1. Renehan A, Gleave EN, Hancock BD, Smith P, McGurk M. Long-term follow-up of over 1000 patients with salivary gland tumours treated in a single centre. Br J Surg. 1996;83:1750-4.

2. Zhan KY, Khaja SF, Flack AB, Day TA. Benign Parotid Tumors. Otolaryngol Clin North Am. 2016;4:327-42.

3. Bokhari MR, Greene J. Pleomorphic Adenoma. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2024 Jan. https://www.ncbi.nlm.nih.gov/books/NBK430829/

4. Yao DQ, King AD, Zhang R, Xiao BH, Wong LM, Wáng YXJ. Assessing parotid gland tumor perfusion with a new imaging biomarker DDVD (diffusion-derived vessel density): promising initial results. Rofo. 2025 Mar 13. doi: 10.1055/a-2543-3305. [doi]

5. Yamamoto T, Kimura H, Hayashi K, et al. Pseudo-continuous arterial spin labeling MR images in Warthin tumors and pleomorphic adenomas of the parotid gland: qualitative and quantitative analyses and their correlation with histopathologic and DWI and dynamic contrast enhanced MRI findings. Neuroradiology 2018;60:803-812.

6. Huang W, Chen Y, Fedorov A, Li X, Jajamovich GH, Malyarenko DI, et al. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II. Tomography. 2019;5:99-109.

7. Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg. 2019;9:1840-1890.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/364-03-008