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US Radiomics in Advanced Cervical Cancer

NCT06984289 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 220

Last updated 2025-05-22

No results posted yet for this study

Summary

This is a retrospective, multicenter observational study aimed at evaluating the role of ultrasound-based radiomics in patients with locally advanced cervical cancer (LACC). The study will analyze pre-treatment ultrasound images to identify radiomic features that may predict treatment response and disease recurrence.

A total of 220 patients treated with exclusive chemoradiotherapy or neoadjuvant chemoradiotherapy followed by radical surgery between 2011 and 2024 will be included. Using clinical and imaging data, machine learning models will be developed to distinguish between responders and non-responders, and to identify patients at higher risk of relapse.

The goal is to improve personalized care in LACC by integrating radiomic analysis into treatment planning and follow-up strategies.

Conditions

  • Uterine Cervical Neoplasms
  • Locally Advanced Cervical Cancer
  • Radiomics
  • Ultrasound Imaging
  • Machine Learning
  • Chemoradiotherapy

Interventions

OTHER

Radiomic Analysis of Ultrasound Images

Quantitative analysis of pre-treatment ultrasound images of the primary cervical tumor to extract radiomic features. These features will be used to develop and validate machine learning models for predicting treatment response and disease relapse in patients with locally advanced cervical cancer (LACC).

Sponsors & Collaborators

  • Fondazione Policlinico Universitario Agostino Gemelli IRCCS

    lead OTHER

Principal Investigators

  • Camilla Culcasi · Fondazione Policlinico Universitario Agostino Gemelli

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-25
Primary Completion
2025-04-30
Completion
2025-05-14

Countries

  • Italy

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 NCT06984289 on ClinicalTrials.gov