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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.
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Inclusion criteria
Female patients aged ≥18 years
Histologically confirmed diagnosis of locally advanced cervical cancer (FIGO 2018 stage IB3-IVA, excluding IIA1)
Histologic subtypes: squamous cell carcinoma, adenocarcinoma, or adenosquamous carcinoma
Underwent transvaginal or transrectal ultrasound prior to treatment
At least one pre-treatment DICOM ultrasound image of the primary tumor available
Treated with either exclusive chemoradiotherapy or neoadjuvant chemoradiotherapy followed by radical surgery
Completed at least 12 months of follow-up after primary treatment
Signed informed consent (or equivalent declaration)
Exclusion criteria
Age <18 years
Only printed ultrasound images available
Ultrasound images with poor tumor visualization or with text/markers obscuring the tumor
220 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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