NCT06984289

US Radiomics in Advanced Cervical Cancer

Role of Radiomics Applied to Ultrasound in Patients With Locally Advanced Cervical Cancer: a Retrospective Multicenter Study

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 220 (actual)
• Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS · Academic / Other
• Sex: Female
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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).

Timeline

• Start date: 2025-03-25
• Primary completion: 2025-04-30
• Completion: 2025-05-14
• First posted: 2025-05-22
• Last updated: 2025-05-22

Locations

1 site across 1 country: Italy