Breath Combined With CT for Diagnoses of Pulmonary Nodules

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

900 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-07-10

Study Completion Date

2022-12-31

Brief Summary

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Pulmonary nodules diagnosis using breath test of volatile organic compound (VOC) is in its infancy. The accuracy of VOC analysis in diagnosing malignant pulmonary nodules varies cross the published studies. The diagnosis accuracy of VOC alone is generally poor. We speculate that the accuracy of diagnosing malignant pulmonary nodules will be improved by combining breath test with chest computed tomography (CT). This study aims to establish a predictive model of malignant pulmonary nodule using bio-markers from exhaled breath and image-markers from chest CT with retrospective data from multi centers. The sensitivity, specificity and accuracy of the model will be validated prospectively.

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Detailed Description

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Endogenous volatile organic compounds (VOCs) can be derived from many different metabolic pathways. VOCs can be transported to the alveoli through the blood circulation and expelled by exhalation. Changes in VOCs production, clearance, and alterations in lung air-blood exchange functions can lead to aberrant VOCs profiles in the exhaled breath. Testing exhaled breath has the advantages of being completely non-invasive and easy to collect, and has been considered as a perfect approach for disease diagnoses and therapeutic monitoring. Many clinical studies have found that VOCs in exhaled breath are closely related to disease status. Specific VOCs alterations have been identified in many tumors, especially lung cancer. Pulmonary nodules diagnosis using breath test of volatile organic compound (VOC) is in its infancy. The accuracy of VOC analysis in diagnosing malignant pulmonary nodules varies cross the published studies. The diagnosis accuracy of VOC alone is generally poor. We speculate that the accuracy of diagnosing malignant pulmonary nodules will be improved by combining VOC analysis with chest computed tomography.

In this study, we use a highly sensitive mass spectrometry to detect exhaled VOCs of patients with pulmonary nodules. The chest CT will be used for detecting the imaging characteristics of pulmonary nodules. The pathological diagnosis of pulmonary nodules after surgical resections is selected as golden standard.

This study aims to establish a predictive model of malignant pulmonary nodule using bio-markers from breath test and image-markers from chest CT with retrospective data from multi centers. The sensitivity, specificity and accuracy of the model will be varied prospectively.

Conditions

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Non-small Cell Lung Cancer Pulmonary Nodule, Multiple

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Malignant pulmonary nodules

Patients with pulmonary nodule diagnosed as malignant cancer by pathological examinations after surgical resection.