The Accuracy of Targeted Lymph Node Dissection of Non-small Cell Lung Cancer Patients According to Predictive Models

January 6, 2025 updated by: Zhongnan Hospital

Clinical Study on Predicting Mediastinal Lymph Node Metastasis in Patients with Lung Cancer by the Predictive Model Based on Clinical Characteristics and Radiomics

Investigators combined the clinical and radiomics characteristics of resectable non-small cell lung cancer patients to construct an accurate model for preoperative prediction of mediastinal lymph node status. For the patients in the experimental group, lymph nodes will be dissected based on the predicted lymph node status by the model, while in the control group, the lymph nodes will be dissected according to the NCCN guidelines (2023). Investigators expect that performing lymph node dissection according to the predictive model can lead to better prognosis for patients.

Study Overview

Detailed Description

Investigators combined the clinical and radiomics characteristics of resectable non-small cell lung cancer patients to construct an accurate model for preoperative prediction of mediastinal lymph node status. Investigators will randomly divide all enrolled patients into an experimental group and a control group. For the patients in the experimental group, lymph nodes will be dissected based on the predicted lymph node status by the model, while in the control group, the lymph nodes will be dissected according to the NCCN guidelines (2023). Investigators will calculate the consistency between preoperative prediction results and postoperative pathological results to verify the accuracy of the model. And investigators will evaluate the impact of this new lymph node dissection method on prognosis by comparing the intraoperative blood loss, postoperative complications, disease-free survival, and overall survival between the two groups of patients. Investigators expect that performing lymph node dissection according to the predictive model can lead to better prognosis for patients.

Study Type

Interventional

Enrollment (Estimated)

60

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Hubei
      • Wuhan, Hubei, China, 430071
        • Zhongnan Hospital of Wuhan University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Age range from 18 to 70 years old;
  2. Chest CT shows a single pulmonary nodule, which may be adenocarcinoma or squamous cell carcinoma;
  3. Chest CT shows multiple pulmonary nodules, but preoperative evaluation suggests that pulmonary nodules other than the main lesion are benign;
  4. Preoperative auxiliary examination evaluates the patient as clinically resectable lung adenocarcinoma or squamous cell carcinoma in stages I, II, or IIIA (UICC-TNM 9th edition);
  5. ECOG score 0-1;
  6. Preoperative lung function FEV1 ≥ 1.0L and actual/expected value ≥ 80%;
  7. No contraindications for surgery;
  8. Technically, lobectomy or segmental resection combined with lymph node dissection can be performed;
  9. Preoperative plain scan and enhanced chest CT examination;
  10. The interval between surgery and chest CT, lung function, and electrocardiogram examinations is less than or equal to 28 days;
  11. The patient signs a written informed consent form.

Exclusion Criteria:

  1. Chest CT suggests multiple primary lung cancer or metastatic cancer;
  2. Previous history of thoracic surgery;
  3. Previous history of malignant tumors;
  4. History of neoadjuvant therapy;
  5. A history of severe heart failure, myocardial infarction, cerebral infarction, and pneumonia within 6 months prior to surgery;
  6. Concurrent active bacterial or fungal infections;
  7. Severe underlying lung diseases such as interstitial lung disease, pulmonary fibrosis, or emphysema are complicated;
  8. Concomitant mental illness;
  9. Pregnant/lactating women.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Model group
During surgery, lymph nodes predicted to be metastatic will be dissected based on the predicted results of the model.
During surgery, lymph nodes will be dissected based on the predicted lymph node status by the model.
Active Comparator: Guideline group
During surgery, lymph nodes will be dissected based on the NCCN guidelines (2023).
During surgery, mediastinal lymph nodes will be dissected based on the NCCN guidelines (2023) .

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Consistency rate between preoperative prediction results and postoperative pathological results
Time Frame: 1 week after surgery
Compare postoperative lymph node pathology results with preoperative prediction results
1 week after surgery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Postoperative complications
Time Frame: 30 days after surgery
Observation of complications within 30 days after surgery
30 days after surgery
Postoperative recurrence rate
Time Frame: 2 years after surgery
Observe for recurrence within 2 years after surgery
2 years after surgery
Disease-free survival
Time Frame: 2 years after surgery
Follow up after surgery to determine if there is any recurrence or metastasis, and calculate disease-free survival
2 years after surgery
Overall survival
Time Frame: 2 years after surgery
Follow up after surgery to determine if there is death, and calculate overall survival
2 years after surgery
Intraoperative blood loss
Time Frame: During the surgery
Record intraoperative blood loss
During the surgery
Postoperative drainage volume
Time Frame: 2 weeks after surgery
Record postoperative drainage volume
2 weeks after surgery
Postoperative drainage time
Time Frame: 2 weeks after surgery
Record the time from the end of the surgery to the removal of the drain tube
2 weeks after surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Hexiao Tang, PhD, Zhongnan Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 1, 2025

Primary Completion (Estimated)

March 31, 2025

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

December 29, 2024

First Submitted That Met QC Criteria

January 6, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 6, 2025

Last Verified

October 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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