Status:
UNKNOWN
Post Radiotherapy MRI Based AI System to Predict Radiation Proctitis for Pelvic Cancers
Lead Sponsor:
Sixth Affiliated Hospital, Sun Yat-sen University
Conditions:
Pelvic Cancer
Eligibility:
All Genders
18-75 years
Brief 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...
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...
Eligibility Criteria
Inclusion
- pathologically diagnosed as pelvic tumours
- intending to receive or undergoing radiotherapy
- MRI (high-solution T2-weighted imaging, contrast-enhanced T1-weighted imaging, and diffusion-weighted imaging are required) examination is completed after radiotherapy
Exclusion
- insufficient imaging quality of MRI (e.g., lack of sequence, motion artifacts)
- incomplete radiotherapy
Key Trial Info
Start Date :
June 22 2021
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
August 1 2024
Estimated Enrollment :
400 Patients enrolled
Trial Details
Trial ID
NCT04918992
Start Date
June 22 2021
End Date
August 1 2024
Last Update
June 9 2021
Active Locations (4)
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1
the Sixth Affiliated Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China, 510000
2
the Sixth Affiliated Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China, 510655
3
The Third Affiliated Hospital of Kunming Medical College
Kunming, Yunnan, China, 650000
4
Sir Run Run Shaw Hospital
Hangzhou, Zhejiang, China, 310000