Development of Clinically High Efficient Platforms for Individualised Treatment of Cervix Cancer

Recruiting now

Conditions studied: Cervix Cancer

In brief

Retrospective study utilizing patient data to develop and validate Machine Learning application. Available imaging data sets of patients who have completed treatment will be used to develop Normal tissue complication probability and Tumour control probability Hypothesis Integrating existing radiation treatment information, quantitative imaging and patient outcome data from completed and ongoing clinical trials will allow development of knowledge based systems for efficient treatment delivery and allow selection of patients for intensified treatment approaches in cervix cancer.

Key facts

Study ID

NCT05102240

Run by

Tata Memorial Hospital

People needed

1800

Starts

2022-02-24

Expected to finish

2026-06-30

Last updated by the study team

2026-02-20

Who can join

Age: 18 and older, up to 90. Sex: female. Healthy volunteers: not accepted.

You may qualify if…

• For Aim 1 and Aim 3:
• Patients treated within ongoing and completed clinical trials of chemoradiation and brachytherapy for cervix cancer with access to MRI/CT images at the time of diagnosis and brachytherapy For Aim 2
• Patients undergoing postoperative or definitive radiotherapy and treated within trials of postoperative or definitive RT.

You may not qualify if…

• Lack of disease or toxicity outcomes.
• Lack of images in the hospital database.

Where it is running

• Advanced Centre of Treatment Research and Education In Cancer,Tata Memorial Centre — Navi Mumbai, Maharashtra, India (enrolling)

Full record on ClinicalTrials.gov

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