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

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

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06768853
Enrollment
60
Registered
2025-01-10
Start date
2025-01-01
Completion date
2026-12-31
Last updated
2025-01-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Non-small Cell Lung Cancer

Keywords

lung cancer, mediastinal lymph node

Brief summary

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.

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.

Interventions

PROCEDURELymph node dissection based on the guidelines

During surgery, mediastinal lymph nodes will be dissected based on the NCCN guidelines (2023) .

PROCEDURELymph node dissection based on the model

During surgery, lymph nodes will be dissected based on the predicted lymph node status by the model.

Sponsors

Zhongnan Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
DOUBLE (Subject, Caregiver)

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Consistency rate between preoperative prediction results and postoperative pathological results1 week after surgeryCompare postoperative lymph node pathology results with preoperative prediction results

Secondary

MeasureTime frameDescription
Postoperative recurrence rate2 years after surgeryObserve for recurrence within 2 years after surgery
Disease-free survival2 years after surgeryFollow up after surgery to determine if there is any recurrence or metastasis, and calculate disease-free survival
Overall survival2 years after surgeryFollow up after surgery to determine if there is death, and calculate overall survival
Postoperative complications30 days after surgeryObservation of complications within 30 days after surgery
Postoperative drainage volume2 weeks after surgeryRecord postoperative drainage volume
Postoperative drainage time2 weeks after surgeryRecord the time from the end of the surgery to the removal of the drain tube
Intraoperative blood lossDuring the surgeryRecord intraoperative blood loss

Countries

China

Contacts

Primary ContactHexiao Tang, PhD
thx1245@sina.com15102723563

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026