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Prediction of Mediastinal Station IV Lymph Node Metastasis in Non-small Cell Lung Cancer

NCT06496360 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2024-08-07

No results posted yet for this study

Summary

Mediastinal lymph node metastasis is a common metastasis pathway of non-small cell lung cancer (NSCLC), and its occurrence is closely related to the lymphatic drainage pattern, which is different in different pulmonary lobe NSCLC, which poses a challenge for the formulation of individualized treatment strategies. Accurate staging is the prerequisite for accurate treatment of NSCLC. Computed Tomograph (CT) examination is an important tool for evaluating mediastinal lymph node metastasis, which is crucial for making treatment plan and evaluating patient prognosis. However, it is difficult to diagnose metastatic lymph nodes with insignificant imaging features. Especially metastatic lymph nodes in areas 4 and 7. Both zone 4 and zone 7 are hot spots for mediastinal lymph node metastasis. However, clinical guidelines do not make clear provisions on lymph node dissection in zone 4, which makes preoperative clinical staging and prognosis evaluation of patients with NSCLC particularly important. By integrating and analyzing a large amount of data in CT images, the newly emerging CT radiomics technology captures subtle features that may be overlooked in conventional CT scans, showing great application prospects in the accuracy of non-invasive diagnosis of lymph node metastasis. This study aims to explore the mediastinal drainage pattern and the role of CT in evaluating mediastinal lymph node metastasis, in order to provide valuable imaging evidence for accurately judging mediastinal lymph node metastasis of NSCLC, formulating appropriate lymph node dissection scope, optimizing treatment strategy, and improving patient prognosis.

Conditions

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence

The model employs machine learning algorithms to analyze CT imaging data of patients with non-small cell lung cancer. It focuses on the identification and assessment of features of the mediastinal fourth group lymph nodes, including size, shape, margins, and density. By extracting features related to lymph node metastasis, the model assists doctors in making more accurate diagnoses.

Sponsors & Collaborators

  • Qilu Hospital of Shandong University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-01
Primary Completion
2024-11-30
Completion
2025-06-30

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06496360 on ClinicalTrials.gov