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UnknownNCT04918992

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

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

Status
Unknown
Phase
Study type
Observational
Enrollment
400 (estimated)
Sponsor
Sixth Affiliated Hospital, Sun Yat-sen University · Academic / Other
Sex
All
Age
18 Years – 75 Years
Healthy volunteers

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.

Detailed description

This is a multicenter, prospective, observational clinical study for seeking out a better way to predict the radiation proctitis in patients with pelvic cancers based on the post-radiotherapy Magnetic Resonance Imaging (MRI) data. Patients who have been pathologically diagnosed as pelvic cancers will be enrolled from the Sixth Affiliated Hospital of Sun Yat-sen University, Sir Run Run Shaw Hospital and the Third Affiliated Hospital of Kunming Medical College. Patients with pelvic cancers who received radiotherapy will be enrolled and their post-radiotherapy MRI images will be used to predict their radiation proctitis or not. The clinical symptoms, endoscopic findings, imaging and histopathology as a standard. The predictive efficacy will be tested in this multicenter, prospective clinical study.

Conditions

Interventions

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

Timeline

Start date
2021-06-22
Primary completion
2024-06-01
Completion
2024-08-01
First posted
2021-06-09
Last updated
2021-06-09

Locations

4 sites across 1 country: China

Source: ClinicalTrials.gov record NCT04918992. Inclusion in this directory is not an endorsement.