Assessment of MAGiC abilities of therapeutic selection and prediction on recurrence risk factors and short-term treatment efficacy in CC
Motivation: MRI is difficult to quantitatively and qualitatively evaluate cervical cancer (CC) with one acquisition. Goal(s): To evaluate the efficacy of MAGiC (sy-T2WI; T1, T2 and PD maps) in cervical cancer (CC) for therapeutic selection and prediction on recurrence risk factors (RRF) and short-term treatment efficacy (STE). Approach: The image quality and tumor staging were assessed by sy-T2WI, and RRF and STE were predicted by the T1, T2, PD map, which compared with hr-T2WI and DWI respectively. Results: sy-T2WI was similar to hr-T2WI for image quality and tumor staging. The combination of T1 and T2 was superior to ADC for predicting RRF and STE. Impact: MAGIC is a promising technique for determination on tumor staging, RRF prediction and STE prognosis in CC patients, offering performance equivalent to and even superior to hr-T2WI and DWI. It should be recommended for clinical application.
Authors
- Xiaomin Ou (ORCID: https://orcid.org/0000-0001-9162-1950)
- Yigang Pei
- Weiyin Vivian Liu (ORCID: https://orcid.org/0000-0002-7917-7612)
- Wenzheng Li (ORCID: https://orcid.org/0009-0009-3549-3101)
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
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/5161
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00