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

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
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article

Assessment of MAGiC abilities of therapeutic selection and prediction on recurrence risk factors and short-term treatment efficacy in CC

Xiaomin Ou, Yigang Pei, Weiyin Vivian Liu, Wenzheng Li
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
Radiomics and Machine Learning in Medical Imaging
article

Assessment of MAGiC abilities of therapeutic selection and prediction on recurrence risk factors and short-term treatment efficacy in CC

Xiaomin Ou, Yigang Pei, Weiyin Vivian Liu, Wenzheng Li
article en

Abstract

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.

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
Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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