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Post Radiotherapy MRI Based AI System to Predict Radiation Proctitis for Pelvic Cancers

NCT04918992 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2021-06-09

No results posted yet for this study

Summary

In this study, investigators utilize a Artificial Intelligence (AI) supportive system to predict radiation proctitis for patients with pelvic cancers underwent radiotherapy. By the system, whether the participants achieve the radiation proctitis will be identified based on the radiomics features extracted from the post radiotherapy Magnetic Resonance Imaging (MRI) . The predictive power to discriminate the radiation proctitis individuals from non-radiation proctitis patients, will be validated in this multicenter, prospective clinical study.

Conditions

  • Pelvic Cancer

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence

investigators utilize a Artificial Intelligence (AI) supportive system to predict radiation proctitis for patients with pelvic cancers underwent radiotherapy

Sponsors & Collaborators

  • Sixth Affiliated Hospital, Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Xinjuan Fan, MD · Sixth Affiliated Hospital, Sun Yat-sen University

  • Weidong Han, MD · Sir Run Run Shaw Hospital

  • Zhenhui Li, MD · The Third Affiliated Hospital of Kunming Medical College.

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-22
Primary Completion
2024-06-01
Completion
2024-08-01

Countries

  • China

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 NCT04918992 on ClinicalTrials.gov