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This study aims to validate the value of tumor involvement features based on MRI in cervical cancer, facilitate the development of a more appropriate model for risk stratification, and help patients with varying risk profiles make appropriate decisions in treatment selection and follow-up plans.
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Even with the development of advanced technology, the prognosis for CC patients who received radiotherapy is still an intractable problem. Almost 40% suffered disease recurrence among locally advanced patients after radiotherapy and the reported 5-year overall survival is 50-70%. The present FIGO staging is controversial in pre-treatment assessment, which is mainly based on physical examination. An ambiguous diagnosis leads to different treatment strategies and follow-up plans, which is associated with prognosis non-improvement. Incorporation of the tumor involvement features based on the MRI into pre-treatment assessment could standardize and improve the consistency and repeatability of diagnosis.
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200 participants in 1 patient group
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Yang Sun
Data sourced from clinicaltrials.gov
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