Colorectal Cancer
Conditions
Interventions
Gold Standard:Previously, there was no gold standard protocol that could accurately predict the early recurrence of colorectal cancer after surgery.
Index test:In this study, we utilized the image recognition software CellProfiler to extract the pathological features from the full-scan sections of colorectal cancer stained with HE, and employed ma
Sponsors
The First Affiliated Hospital of Wenzhou Medical University
Eligibility
Sex/Gender
All
Age
18 Years to 90 Years
Inclusion criteria
Inclusion criteria: 1. Patients diagnosed with colorectal cancer by pathological examination. 2. Undergoing radical surgical resection. 3. Aged 18 years or older. 4. Completed postoperative follow-up and had clinical and pathological data.
Exclusion criteria
Exclusion criteria: 1. Other cancer history: Presence of an active case or treatment history of other types of cancer. 2. Incomplete data: Lack of complete treatment or follow-up data. 3. Poor sample quality: Pathological samples of poor quality due to improper fixation, handling, or prolonged storage, making them unsuitable for effective machine learning analysis. 4. Serious comorbidities: Presence of serious comorbidities that affect prognosis assessment, such as uncontrolled heart disease, liver failure, etc. 5. Age restriction: Patients under the age of 18.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Area under receiver operating characteristic curve, AUC;accuracy;sensitivity;NPV;PPV;F1 score;DCA;Calibration curve;Survival Status;Overall Survival;Recurrence Status;Disease-Free Survival; | — |
Countries
China
Contacts
Public ContactZhongdong Xie; Yongchun Chen
The First Affiliated Hospital of Wenzhou Medical University
Outcome results
None listed