Possibia

4918992

Last Update Posted: 2021-06-09

Recruiting status is unknown

All Genders

accepted

18 Years-75 Years

400 Estimated Participants

No Expanded Access

Observational Study

Does not accept healthy volunteers

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

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.

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.

Eligibility

Relevant conditions:

Pelvic Cancer

If you aren't sure if you meet the criteria above speak to your healthcare professional. Criteria may be updated but not reflected here, do not hesitate to contact the trial if you think are close to fitting criteria.

locations

Contact Information

Overall Contact

Data sourced from ClinicalTrials.gov