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Evaluation shows MAGiC predicts recurrence risk factors and short-term treatment efficacy in cervical cancer, indicating its potential for clinical use.
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.
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Pei et al. (2025) studied this question.
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