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Evaluation of AL Prediction for Rectal Cancer

Primary Purpose

Anastomotic Leak Rectum

Status
Not yet recruiting
Phase
Not Applicable
Locations
China
Study Type
Interventional
Intervention
Prediction model evaluation
Sponsored by
Changhai Hospital
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional prevention trial for Anastomotic Leak Rectum focused on measuring Anastomotic Leak, rectal cancer, machine learning

Eligibility Criteria

18 Years - 75 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

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

Sites / Locations

  • Department of Colorectal Surgery in Changhai Hospital

Arms of the Study

Arm 1

Arm 2

Arm Type

No Intervention

Experimental

Arm Label

Surgeon evaluation

Surgeon combining with model evaluation

Arm Description

Outcomes

Primary Outcome Measures

Accuracy of stoma implementation
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.

Secondary Outcome Measures

Sensitivity and specificity in the prediction of anastomotic leakage
Grade C leakage rate
Preventive stoma rate
Rate of stoma reverse

Full Information

First Posted
October 30, 2022
Last Updated
November 3, 2022
Sponsor
Changhai Hospital
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1. Study Identification

Unique Protocol Identification Number
NCT05610904
Brief Title
Evaluation of AL Prediction for Rectal Cancer
Official Title
Evaluation of a Machine Learning Based Anastomotic Leakage Prediction Model After Anterior Resection for Rectal cancer-a Multicenter, Prospective, Randomized Controlled Study
Study Type
Interventional

2. Study Status

Record Verification Date
November 2022
Overall Recruitment Status
Not yet recruiting
Study Start Date
December 10, 2022 (Anticipated)
Primary Completion Date
October 10, 2024 (Anticipated)
Study Completion Date
October 10, 2025 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Changhai Hospital

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No

5. Study Description

Brief Summary
Anastomotic leakage is one of the most serious postoperative complications of low rectal cancer, with an incidence of 3%-21%. The occurrence of anastomotic leakage is related to many factors, and the occurrence of anastomotic leakage can be predicted by building a prediction model. Most of the anastomotic leakage prediction models constructed in the past are nomograms, which have limitations in the fitting of model creation. In the previous study, the center took the lead in building a random forest anastomotic leakage prediction model based on machine learning. This study intends to prospectively enroll patients with rectal cancer undergoing anterior abdominal resection and use their clinical data to prospectively verify the efficacy of the anastomotic leakage prediction model, and further improve and promote the prediction model.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Anastomotic Leak Rectum
Keywords
Anastomotic Leak, rectal cancer, machine learning

7. Study Design

Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
Participant
Allocation
Randomized
Enrollment
418 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Surgeon evaluation
Arm Type
No Intervention
Arm Title
Surgeon combining with model evaluation
Arm Type
Experimental
Intervention Type
Diagnostic Test
Intervention Name(s)
Prediction model evaluation
Intervention Description
a machine learning based anastomotic leakage prediction model
Primary Outcome Measure Information:
Title
Accuracy of stoma implementation
Description
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.
Time Frame
1 months after surgery
Secondary Outcome Measure Information:
Title
Sensitivity and specificity in the prediction of anastomotic leakage
Time Frame
1 months after surgery
Title
Grade C leakage rate
Time Frame
1 months after surgery
Title
Preventive stoma rate
Time Frame
1 months after surgery
Title
Rate of stoma reverse
Time Frame
3-6 months after surgery

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
75 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
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
Facility Information:
Facility Name
Department of Colorectal Surgery in Changhai Hospital
City
Shanghai
State/Province
Shanghai
ZIP/Postal Code
200433
Country
China

12. IPD Sharing Statement

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Evaluation of AL Prediction for Rectal Cancer

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