NCT04948047

Brief Summary

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.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
900

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 24, 2021

Completed
7 days until next milestone

First Posted

Study publicly available on registry

July 1, 2021

Completed
9 days until next milestone

Study Start

First participant enrolled

July 10, 2021

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 30, 2022

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed
Last Updated

April 20, 2022

Status Verified

April 1, 2022

Enrollment Period

1.3 years

First QC Date

June 24, 2021

Last Update Submit

April 18, 2022

Conditions

Keywords

volatile organic compoundpulmonary nodulespredictive modelcomputed tomographyHPPI-TOFMS

Outcome Measures

Primary Outcomes (3)

  • Diagnostic sensitivity of breath test combined with computed tomography

    Using pathological diagnosis of pulmonary nodule as gold standard, diagnostic specificity of breath test combined with computed tomography will be calculated

    8 weeks

  • Diagnostic specificity of breath test combined with computed tomography

    Using pathological diagnosis of pulmonary nodule as gold standard, diagnostic specificity of breath test combined with computed tomography will be calculated

    8 weeks

  • Diagnostic accuracy of breath test combined with computed tomography

    Using pathological diagnosis of pulmonary nodule as gold standard, diagnostic accuracy of breath test combined with computed tomography will be calculated

    8 weeks

Secondary Outcomes (2)

  • Positive predictive value of breath test combined with computed tomography

    8 weeks

  • Negative predictive value of breath test combined with computed tomography

    8 weeks

Study Arms (2)

Malignant pulmonary nodules

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

Diagnostic Test: Pathological examinations as the golden diagnosis criteriaDiagnostic Test: Breath test combined with computed tomography

Benign pulmonary nodules

Patients with pulmonary nodule diagnosed as benign disease by pathological examinations after surgical resection.

Diagnostic Test: Pathological examinations as the golden diagnosis criteriaDiagnostic Test: Breath test combined with computed tomography

Interventions

Pathological diagnosis, as the golden standard for diagnosing pulmonary nodules, is achieved by two experienced pathologists and validated by the third senior pathologist.

Benign pulmonary nodulesMalignant pulmonary nodules

Exhaled breath of each participant will be collected with Tedlar bags. The volatile organic compounds will be detected by a high-resolution high-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS). The Imaging markers of pulmonary nodules, including the size, three-dimensional shape, and appearance characteristics, are derived from the chest computed tomography within 2 weeks before surgery resection.

Benign pulmonary nodulesMalignant pulmonary nodules

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

To establish pulmonary nodule diagnosis model of breath test combined with computed tomography, we reviewed the prospective database established during the study of NCT04419207 for participant recruitment. 200 participants with malignant pulmonary nodules and 200 patients with benign pulmonary nodules will be included for establishing the diagnosis model. To validate the efficacy of the established model in distinguishing malignant pulmonary nodules from benign nodules, we will prospectively recruit 500 patients with pulmonary nodules in multi centers: Peking University People's Hospital (200 participants), The First Affiliated Hospital of Zhengzhou University (200 participants), and Beijing Haidian Hospital (100 participants).

You may qualify if:

  • Age \> 18 years old;
  • Pulmonary nodules with planned surgical resection;
  • Signed informed consent and agreed to participate in this study.

You may not qualify if:

  • Preoperative radiotherapy, chemotherapy, targeted therapy or other anti-tumor therapy
  • The lack of chest computed tomography within two weeks before surgery
  • A history of malignant disease within 5 years.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Peking University People's Hospital

Beijing, 100044, China

RECRUITING

Biospecimen

Retention: SAMPLES WITHOUT DNA

Volatile organic compound (VOC) in exhalation collected with air bags.

MeSH Terms

Conditions

Carcinoma, Non-Small-Cell LungMultiple Pulmonary Nodules

Interventions

Tomography, X-Ray Computed

Condition Hierarchy (Ancestors)

Carcinoma, BronchogenicBronchial NeoplasmsLung NeoplasmsRespiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Intervention Hierarchy (Ancestors)

Image Interpretation, Computer-AssistedDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisRadiographic Image EnhancementImage EnhancementPhotographyRadiographyTomography, X-RayTomography

Study Officials

  • Mantang Qiu, PhD

    Peking University People's Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Mantang Qiu, PhD

CONTACT

Peiyu Wang, MM

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Research Assistant

Study Record Dates

First Submitted

June 24, 2021

First Posted

July 1, 2021

Study Start

July 10, 2021

Primary Completion

October 30, 2022

Study Completion

December 31, 2022

Last Updated

April 20, 2022

Record last verified: 2022-04

Data Sharing

IPD Sharing
Will not share

Locations