MRI Scan Model to Predict Response to Chemoradiotherapy in Cervical Cancer
Studies whether pelvic MRI scan features predict response to chemoradiotherapy in cervical cancer.
Plain-language title generated from the registry record
Registry title: A Radiomic MRI Predictive Model for Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer
Key facts
- Where
- Nîmes, FranceSee the site
Where in France
- Nîmes University HospitalNîmes, FranceTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Centre Hospitalier Universitaire de Nīmes
- Trial code
- NCT07305727
- Record updated
- 7 January 2026
- Original description
Cervical cancer is the fourth most common cancer in women worldwide, with approximately 604,000 new cases in 2020.Treatment for locally advanced cervical cancer is based on a combination of radiotherapy and chemotherapy. The response to concomitant chemoradiotherapy vary from one woman to another. Predicting the response to these treatments would allow early consideration of alternative therapies for patients identified as less responsive to standard treatments. A 5-year recurrence-free survival is approximately 79% for stages IB and IIA and 59% for stages III and IVA, with approximately 36% of local failures despite chemoradiotherapy. In a few studies,the radiomic MRI approach in locally advanced cervical cancers has shown to be prognostic for locoregional recurrence or survival but these models still need to be explored and validated.The EPICOL cohort, a clinical-biological cohort of 136 patients treated with chemoradiotherapy for locally advanced cervical cancer at the Montpellier Cancer Institute or Nîmes University Hospital, will be used to develop a predictive model of response to chemoradiotherapy based on radiomic data from pelvic MRIs before and after treatment.Read full original descriptionShow less
Developing a Radiomic MRI Model Predictive of Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer. A Prognostic, Retrospective, Open-label, Multicenter, Descriptive and Analytical Clinical Cohort Study
Cervical cancer is the fourth most common cancer in women worldwide, with approximately 604,000 new cases in 2020.Treatment for locally advanced cervical cancer is based on a combination of radiotherapy and chemotherapy. The response to concomitant chemoradiotherapy vary from one woman to another. Predicting the response to these treatments would allow early consideration of alternative therapies for patients identified as less responsive to standard treatments. A 5-year recurrence-free survival is approximately 79% for stages IB and IIA and 59% for stages III and IVA, with approximately 36% of local failures despite chemoradiotherapy. In a few studies,the radiomic MRI approach in locally advanced cervical cancers has shown to be prognostic for locoregional recurrence or survival but these models still need to be explored and validated.The EPICOL cohort, a clinical-biological cohort of 136 patients treated with chemoradiotherapy for locally advanced cervical cancer at the Montpellier Cancer Institute or Nîmes University Hospital, will be used to develop a predictive model of response to chemoradiotherapy based on radiomic data from pelvic MRIs before and after treatment.
Inclusion: Patients treated with exclusive radio-chemotherapy for locally advanced cervical cancer (stage Ib-IVb according to the FIGO classification); Patients with a minimum of 2 years of post-treatment follow-up; Patients for whom the initial biopsy specimen (prior to treatment) is available; Patients who have not expressed their opposition to participating in the study; Patients who are affiliated with or beneficiaries of a health insurance plan.
Exclusion: Patients under judicial protection, guardianship, or curatorship.