Clinical trial · Observational
Development of an Imaging Prediction Model for Pelvic Lymph Node Metastasis of Cervical Cancer Using Artificial Intelligence Techniques.
NCT06448897CI-TRIAL-00077790unknownClinicalTrials.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)
This study is a retrospective exploratory trial conducted at a single center, aiming to develop and validate a preoperative lymphatic metastasis model for cervical cancer using artificial intelligence deep learning. The model is trained using preoperative imaging and postoperative pathological findings of cervical cancer patients, with the goal of enhancing the accuracy of lymphatic metastasis prediction through preoperative imaging and offering insights for treatment decisions.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Artificial Intelligence | — | UNRESOLVED | — |
| Cervical Cancer | Malignant Cervical Neoplasm | CURATED_EXACT | 0.92 |
| Lymph Node Metastasis | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- A model for identifying pelvic lymph node metastases on preoperative imaging
- timeFrame
- From enrollment to the end of development of model at 24 months
- description
- Artificial intelligence (AI) technology was utilized to develop a model for identifying pelvic lymph node metastasis from preoperative images in order to enhance the accuracy of preoperative lymph node metastasis detection in cervical cancer. The model was validated with the main diagnostic focus on determining the status of lymph node metastasis.
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion criteria: 1. patients with preoperative diagnosis of invasive cervical cancer stage I-III, with any type of pathology, and patients who underwent radical/modified radical cervical cancer surgery + pelvic lymph node dissection in our hospital. 2. Age ≥18 years old and ≤80 years old 3. patients with complete preoperative pelvic MRI images and postoperative pathology and clinical data in our hospital Exclusion criteria: 1. Patients during pregnancy or breastfeeding, patients within 42 days of abortion 2. Patients who have received neoadjuvant chemotherapy or radiotherapy before surgery for this previous cervical cancer 3. Patients with other malignant tumors within 5 years 4. Combination of other underlying diseases that may lead to enlarged pelvic lymph nodes 5. Imaging report more than 1 month prior to surgery 6. Poor image quality and unrecognizable
References
Publications (0)
Data not yet available
No reference posted for this study.