664-03-003 ISMRM Abstract

Clinical evaluation of deep learning reconstruction in nasopharyngeal masses and ADC quantification

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Neuro - Head & Neck/ENT

664-03-003 · Innovations in Head and Neck Imaging: From Coil Design to Clinical Impact · Thursday, 14 May, 1:40 PM–2:35 PM · Digital Posters Row E

Keywords: Deep learning reconstruction Nasopharyngeal lymphoid hyperplasia Nasopharyngeal carcinoma Apparent diffusion coefficient Disease differentiation

Accepted

Jiuping Liang ¹, Xueying Zhao², Qing Xu¹, Yingqi Li¹, Shengfeng Fan³, Yiyong Liu⁴

¹Department of Radiology, Shenzhen Bao'an Distrct Songgang People's Hospital, Shenzhen, China

²MR Research, GE HealthCare, Beijing, China

³School of Chinese Medicine, Guangdong Pharmaceutical Univeristy, Guangzhou, China

⁴Department of Radiology, Rehabilitation Hospital of China National Nuclear Corporation, Changsha, China

Presenting Author: Jiuping Liang

Synopsis

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References

1. Suryani L, Lee H P Y, Teo W K, et al. Precision medicine for nasopharyngeal cancer—A review of current prognostic strategies. Cancers. 2024; 16(5): 918. https://doi.org/10.3390/cancers16050918 [doi]

2. Gorolay V V, Niles N N, Huo Y R, et al. MRI detection of suspected nasopharyngeal carcinoma: a systematic review and meta-analysis. Neuroradiology. 2022; 64(8): 1471-1481. https://doi.org/10.1007/s00234-022-02941-w [doi]

3. Kim M, Kim H S, Kim H J, et al. Thin-slice pituitary MRI with deep learning–based reconstruction: diagnostic performance in a postoperative setting. Radiology. 2021; 298(1): 114-122. https://doi.org/10.1148/radiol.2020200723 [doi]

4. Chen Q, Fang S, Yuchen Y, et al. Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value. European journal of radiology. 2023; 168: 111149. PMID: 37862927. [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/664-03-003