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Status unknownNCT04948047Updated Apr 20, 2022

Breath Combined With CT for Diagnoses of Pulmonary Nodules

An observational study in Non-small Cell Lung Cancer and Pulmonary Nodule, Multiple, sponsored by Peking University People's Hospital. Status unknown at 1 site in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-04-20.

Sponsored by Peking University People's Hospital · Observational

The sponsor has not verified this record recently (last verified Apr 2022), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
900
Ages
18 Years and older
Sex
All
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Study 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.

Read the detailed description

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.

02

Conditions studied

  • Non-small Cell Lung Cancer
  • Pulmonary Nodule, Multiple

Keywords

  • volatile organic compound
  • pulmonary nodules
  • predictive model
  • computed tomography
  • HPPI-TOFMS
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In context

Carcinoma, Non-Small-Cell Lung

6,641 studies on the registry are indexed under Carcinoma, Non-Small-Cell Lung; 1,665 are open to participants now.

This study's planned enrollment of 900 is above the median of 164 across 974 observational studies indexed under Carcinoma, Non-Small-Cell Lung.

Browse Carcinoma, Non-Small-Cell Lung studies →

Lead sponsor

Peking University People's Hospital is the lead sponsor of 603 studies on the registry; 241 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Sampling method
Probability 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).

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

  1. Preoperative radiotherapy, chemotherapy, targeted therapy or other anti-tumor therapy
  2. The lack of chest computed tomography within two weeks before surgery
  3. A history of malignant disease within 5 years.
05

Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
900 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • 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 criteria · Diagnostic 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 criteria · Diagnostic Test: Breath test combined with computed tomography

Interventions

  • Diagnostic testPathological examinations as the golden diagnosis criteria

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

  • Diagnostic testBreath test combined with computed tomography

    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.

06

What researchers measure

Primary outcomes

  1. 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

    Time frame: 8 weeks

  2. 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

    Time frame: 8 weeks

  3. 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

    Time frame: 8 weeks

Secondary outcomes

  1. Positive predictive value of breath test combined with computed tomography

    Using pathological diagnosis of pulmonary nodule as gold standard, positive predictive value of breath test combined with computed tomography will be calculated

    Time frame: 8 weeks

  2. Negative predictive value of breath test combined with computed tomography

    Using pathological diagnosis of pulmonary nodule as gold standard, negative predictive value of breath test combined with computed tomography will be calculated

    Time frame: 8 weeks

07

Study locations

1 of 1 sites recruiting
  • Peking University People's Hospital
    Beijing, 100044, China
    Recruiting
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Jul 2021 (actual). Primary completion is estimated for Oct 2022, 15 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Jun 24, 2021
First posted
Jul 1, 2021
StartActual
Jul 10, 2021
Primary completionEst.
Oct 30, 2022
CompletionEst.
Dec 31, 2022
Last update
Apr 20, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 20, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04948047
Collaborators
Beijing Haidian Hospital, The First Affiliated Hospital of Zhengzhou University, Jiangsu Cancer Institute & Hospital, Beijing Breatha Biological Technology Co., Ltd, Beijing
Responsible party
Mantang Qiu, MD, PhD (Research Assistant, Peking University People's Hospital) — Principal investigator
First posted
Jul 1, 2021
Start date
Jul 10, 2021
Primary completion
Oct 30, 2022 (estimated)
Completion
Dec 31, 2022 (estimated)
Last update
Apr 20, 2022

Study contacts

Mantang Qiu, PhD
Contact
qiumantang@163.com
13915973485
Peiyu Wang, MM
Contact
18339979852@163.com
Mantang Qiu, PhD
principal investigator · Peking University People's Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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