Post Radiotherapy MRI Based AI System to Predict Radiation Proctitis for Pelvic Cancers (MRI-RP-2021)
Post-radiotherapy MRI Based AI System to Predict Radiation Proctitis for Pelvic Cancers
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Xinjuan Fan, MD
- Phone Number: +86 13602442569
- Email: fanxjuan@mail.sysu.edu.cn
Study Locations
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-
Guangdong
-
GuangZhou, Guangdong, China, 510655
- The Sixth Affiliated Hospital of Sun Yat-sen University
-
Contact:
- Xinjuan Fan, MD
- Phone Number: +86 13602442569
- Email: fanxjuan@mail.sysu.edu.cn
-
Guangzhou, Guangdong, China, 510000
- The Sixth Affiliated Hospital of Sun Yat-sen University
-
Contact:
- Xinjuan Fan, MD
-
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Yunnan
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Kunming, Yunnan, China, 650000
- The Third Affiliated Hospital of Kunming Medical College
-
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Zhejiang
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HangZhou, Zhejiang, China, 310000
- Sir Run Run Shaw Hospital
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Contact:
- Weidong Han, MD
- Phone Number: +86 13819124503
- Email: hanwd@zju.edu.cn
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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 Criteria:
- insufficient imaging quality of MRI (e.g., lack of sequence, motion artifacts)
- incomplete radiotherapy
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of AI prediction system in prediction radiation proctitis
Time Frame: baseline
|
The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of AI prediction system in identifying the radiation proctitis candidates from non-radiation proctitis individuals among pelvic cancers underwent radiotherapy
|
baseline
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The specificity of AI prediction system in prediction radiation proctitis
Time Frame: baseline
|
The specificity of AI prediction system in identifying the radiation proctitis candidates from non-radiation proctitis individuals among pelvic cancers underwent radiotherapy
|
baseline
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The sensitivity of AI prediction system in prediction the radiation proctitis candidates
Time Frame: baseline
|
The sensitivity of AI prediction system in identifying the radiation proctitis candidates from non-radiation proctitis individuals among pelvic cancers underwent radiotherapy
|
baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Zhenhui Li, MD, The Third Affiliated Hospital of Kunming Medical College.
- Study Chair: Xinjuan Fan, MD, Sixth Affiliated Hospital, Sun Yat-sen University
- Principal Investigator: Weidong Han, MD, Sir Run Run Shaw Hospital
Study record dates
Study Major Dates
Study Start (ANTICIPATED)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- MRI-RP
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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