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

NCT05102240 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1800

Last updated 2026-02-20

No results posted yet for this study

Summary

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.

Conditions

  • Cervix Cancer

Sponsors & Collaborators

  • Bhabha Atomic Research Centre and Indian Institute of Technology, Mumbai.

    collaborator UNKNOWN

  • Erasmus Medical Center

    collaborator OTHER

  • Tata Memorial Hospital

    lead OTHER_GOV

Principal Investigators

  • Supriya Sastri (nee Chopra), MD · Tata Memorial Centre, The Advanced Centre for Treatment, Research and Education in Cancer (ACTREC)

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-02-24
Primary Completion
2026-06-30
Completion
2026-06-30

Countries

  • India

Study Locations

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Entities

Companies

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 NCT05102240 on ClinicalTrials.gov