Clinical trial · Observational
A Lymph Node Metastasis Predictor (LN-MASTER) in Rectal Cancer
An Easy-to-use Artificial Intelligence Preoperative Lymph Node Metastasis Predictor (LN-MASTER) in Rectal Cancer Based on a Privacy-preserving Computing Platform: Multicenter Retrospective Cohort Study
NCT05493930CI-TRIAL-00060180completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
In this study, we aim to develop and validate an easy-to-use machine learning prediction model to preoperatively identify the lymph node metastasis status for rectal cancer patients by using these clinical data from three hospitals.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Rectum Cancer | Rectal Carcinoma | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| The hospital where the treatment is performed | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- development set;
- description
- RC patients from the Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College
- interventionNames
- Other: The hospital where the treatment is performed
- label
- external validation sets 1
- description
- RC patients from Changhai Hospital, Naval Medical University
- interventionNames
- Other: The hospital where the treatment is performed
- label
- external validation sets 2
- description
- RC patients from the Second Affiliated Hospital of Harbin Medical University
- interventionNames
- Other: The hospital where the treatment is performed
Primary outcomes (1)
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * American Joint Committee on Cancer (AJCC) stages I -III rectal cancer * underwent radical surgery Exclusion Criteria: * other malignancies * received treatment with endoscopic submucosal dissection (ESD) * metastatic lesions * did not undergo lymph node dissection * had unavailable assessed lymph node status * received neoadjuvant therapy
References
Publications (1)
- DERIVEDGuan X, Yu G, Zhang W, Wen R, Wei R, Jiao S, Zhao Q, Lou Z, Hao L, Liu E, Gao X, Wang G, Zhang W, Wang X. An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study. Int J Surg. 2023 Mar 1;109(3):255-265. doi: 10.1097/JS9.0000000000000067. PMID 36927812