Synthetic-based histogram analysis associated with depth of invasion predicted progression-free survival in nasopharyngeal carcinoma
Motivation: Deeply infiltrating tumors have a poor prognosis and need close follow-up. Whether the depth of invasion could serve as a quantitative prognostic indicator in NPC. The prognostic assessment value of synthetic MRI (SyMRI) needs further analysis. Goal(s): To explore the value of two quantitative methods in prognostic assessment in NPC, including depth of invasion and SyMRI. Approach: This study prospectively included NPC patients, and utilized multiple statistical methods to construct and validate two methods. Results: Depth of invasion and SyMRI are important quantitative methods. Impact: Tumor invasion depth is an unignorable metric, and combining it with SyMRI may provide a quantitative and objective approach for clinical treatment.
Authors
- Haoran Wei (ORCID: https://orcid.org/0000-0003-1136-5614)
- Meng Kuan Lin (ORCID: https://orcid.org/0000-0002-8191-8563)
- Hongmei Zhang (ORCID: https://orcid.org/0009-0009-7935-7240)
- Fan Yang (ORCID: https://orcid.org/0000-0003-4440-6128)
- Xiaoduo Yu (ORCID: https://orcid.org/0000-0002-0893-695X)
- Lizhi Xie
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/1946
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.00