An observational study in Pelvic Cancer, sponsored by Sixth Affiliated Hospital, Sun Yat-sen University. Status unknown at 4 sites in China. Open to participants aged 18 Years to 75 Years. Per ClinicalTrials.gov, last updated 2021-06-09.
Sponsored by Sixth Affiliated Hospital, Sun Yat-sen University · Observational
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.
82 studies on the registry are indexed under Pelvic Neoplasms; 28 are open to participants now.
This study's planned enrollment of 400 is above the median of 167 across 31 observational studies indexed under Pelvic Neoplasms.
Browse Pelvic Neoplasms studies →Sixth Affiliated Hospital, Sun Yat-sen University is the lead sponsor of 217 studies on the registry; 111 are open to participants now.
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pelvic cancers who underwent radiotherapy will be enrolled in our study.
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Exclusion Criteria:
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The diagnosis was confirmed by looking at a sample under a microscope: tissue from a biopsy or surgery (histology), or cells from a fluid or needle sample (cytology).
Your pathology report is the document that shows this.
Histologically or cytologically confirmed
The diagnosis was confirmed by looking at a sample under a microscope: tissue from a biopsy or surgery (histology), or cells from a fluid or needle sample (cytology).
Your pathology report is the document that shows this.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
investigators utilize a Artificial Intelligence (AI) supportive system to predict radiation proctitis for patients with pelvic cancers underwent radiotherapy
The area under curve (AUC) of Receiver Operating Characteristic (ROC) curves of AI prediction system in prediction radiation proctitis
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
Time frame: baseline
The specificity of AI prediction system in prediction radiation proctitis
The specificity of AI prediction system in identifying the radiation proctitis candidates from non-radiation proctitis individuals among pelvic cancers underwent radiotherapy
Time frame: baseline
The sensitivity of AI prediction system in prediction the radiation proctitis candidates
The sensitivity of AI prediction system in identifying the radiation proctitis candidates from non-radiation proctitis individuals among pelvic cancers underwent radiotherapy
Time frame: baseline
Plan to share: Undecided
No publications or documents are linked to this record.
Start is estimated for Jun 2021; primary completion for Jun 2024, 35 months later.
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This study is status unknown, as verified in Jun 2021. You cannot join it, but the record below documents what was studied.
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