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A Radiomic MRI Predictive Model for Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer

NCT07305727 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 120

Last updated 2026-01-07

No results posted yet for this study

Summary

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.

Conditions

  • Uterine Cervical Neoplasms
  • Cervical Cancer by FIGO Stage 2018

Sponsors & Collaborators

  • Centre Hospitalier Universitaire de Nīmes

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2026-08-01
Completion
2026-12-31

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07305727 on ClinicalTrials.gov