Colorectal cancer
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1. Patients with colorectal cancer confirmed by postoperative pathology after surgical resection; 2. Patients who underwent preoperative contrast-enhanced CT examination with adequate image quality for radiomics/deep learning analysis; 3. Complete pathological information was available to determine the status of tumor deposits (TD); 4. Complete clinical, imaging and pathological data were available;
Exclusion criteria
Exclusion criteria: 1. Patients who received preoperative radiotherapy, chemotherapy, targeted therapy, immunotherapy or other anti-tumor treatments; 2. Patients with poor CT image quality, obvious artifacts or unclear tumor visualization, making image segmentation and feature extraction impossible; 3. Patients with incomplete clinical, imaging or pathological data; 4. Patients with concurrent or previous history of other malignancies; 5. Patients with non-primary colorectal cancer, postoperative recurrent disease or unclear pathological diagnosis;
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Area under the receiver operating characteristic curve, AUC; | — |
Secondary
| Measure | Time frame |
|---|---|
| Sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the model for predicting tumor deposits in colorectal cancer;Clinical utility of the model;Calibration performance of the model;Association between the AI-TD risk score and disease-free survival; | — |
Countries
China
Contacts
Hefei First People's Hospital