Evaluation of AL Prediction for Rectal Cancer
Evaluation of a Machine Learning Based Anastomotic Leakage Prediction Model After Anterior Resection for Rectal cancer-a Multicenter, Prospective, Randomized Controlled Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Shanghai
-
Shanghai, Shanghai, China, 200433
- Department of Colorectal Surgery in Changhai Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients aged 18-75 years
- Adenocarcinoma confirmed by pathology
- Colonoscopy or imaging examination confirmed that the distance between the lower edge of the tumor and the anal edge was less than or equal to 12cm
- Preoperative imaging diagnosis was cTxNxM0
- No local complications (no obstruction, incomplete obstruction, no massive active bleeding, no perforation, abscess formation, and no invasion of adjacent organs)
- The hematopoietic functions of heart, lung, liver, kidney and bone marrow meet the requirements of surgery and anesthesia
- Voluntarily sign the informed consent form
Exclusion Criteria:
- Previous history of malignant tumor
- Simultaneous multiple primary colorectal cancer
- Previous multiple abdominal and pelvic surgeries or extensive abdominal adhesions
- Patients with intestinal obstruction, intestinal perforation, intestinal bleeding, etc., requiring emergency surgery
- Patients with familial adenomatous polyposis and active inflammatory bowel disease
- A history of severe mental illness
- pregnant or lactating women
- Patients with uncontrolled infection before operation
- The investigator did not consider the patient to be eligible for the trial
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
No Intervention: Surgeon evaluation
|
|
|
Experimental: Surgeon combining with model evaluation
|
a machine learning based anastomotic leakage prediction model
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of stoma implementation
Time Frame: 1 months after surgery
|
Accuracy of stoma implementation: the number of anastomotic leakage patients with stoma and none anastomotic leakage patients without stoma to the number of total patients.
|
1 months after surgery
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Sensitivity and specificity in the prediction of anastomotic leakage
Time Frame: 1 months after surgery
|
1 months after surgery
|
|
Grade C leakage rate
Time Frame: 1 months after surgery
|
1 months after surgery
|
|
Preventive stoma rate
Time Frame: 1 months after surgery
|
1 months after surgery
|
|
Rate of stoma reverse
Time Frame: 3-6 months after surgery
|
3-6 months after surgery
|
Collaborators and Investigators
Sponsor
Sponsor
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
- CHALP001
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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