- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07732686
Analysis of Breath Volatile Organic Compounds Using Mass Spectrometry
Breath Volatile Organic Compounds (VOC) Analysis Using Proton Transfer Reaction Mass Spectrometry (PTR-MS)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This study aims to determine whether metabolic changes associated with cancer produce distinct alterations in exhaled breath compared with those of healthy individuals. Breath samples will be analyzed using machine learning techniques to identify volatile organic compound (VOC) patterns and develop diagnostic algorithms capable of detecting multiple types of cancer. The long-term goal is to establish a noninvasive, breath-based screening tool that can facilitate the early detection of various cancers.
Additionally, patients and healthy participants who consent to this study may opt in to be contacted in the future to provide additional breath samples.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Lead Onco Nurse
- Phone Number: 405-271-8777
- Email: SCC-IIT-Office@ouhsc.edu
Study Contact Backup
- Name: Nirmal Choradia, MD
- Email: Nirmal-Choradia@ouhsc.edu
Study Locations
-
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Oklahoma
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Oklahoma City, Oklahoma, United States, 73117
- OU Health Stephenson Cancer Center
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Contact:
- Nirmal Choradia, MD
- Email: Nirmal-Choradia@ouhsc.edu
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age ≥ 18 at the time of consent. Male and female patients to be tested.
- Capable of understanding written and/or spoken English language.
- Able to provide informed consent.
- Cancer of any type.
- Newly diagnosed cancer and untreated or established diagnosis of cancer. For established cancer patients, no active anti-cancer treatment for more than one month (reasons for no treatment are such as relapse, progression of cancer, refractory, or intolerance to treatment etc.)
Exclusion Criteria:
- Under the age of 18.
- Anticipated inability to complete breath sampling procedure.
- Unable to provide informed consent.
- Pregnant women
- Active respiratory infection symptoms
- Recent use of antibiotics
- Difficulty in performing coached exhalation
- Individuals who are unable to follow the instructions
- Cancer patients who are on active treatment for cancer or have received cancer treatment within one month
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Diagnosed Malignancies
Participants in this group either have a newly diagnosed, untreated cancer or a pre-existing cancer diagnosis but are not currently receiving anticancer therapy.
Participants with a pre-existing diagnosis must not have received any anticancer treatment within the previous month.
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This is a noninvasive intervention.
Participants will be asked to provide a breath sample using a disposable mouthpiece equipped with a saliva/moisture trap and a non-rebreathing valve.
Breath samples will be collected through normal, steady exhalation.
The entire breath collection process is expected to take no more than 30 minutes to complete.
Other Names:
|
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Healthy Control Group
Participants in this control group have no current or prior diagnosis of a malignancy.
|
This is a noninvasive intervention.
Participants will be asked to provide a breath sample using a disposable mouthpiece equipped with a saliva/moisture trap and a non-rebreathing valve.
Breath samples will be collected through normal, steady exhalation.
The entire breath collection process is expected to take no more than 30 minutes to complete.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
VOC Signature Collection.
Time Frame: 2 Years
|
The successful collection of breath samples from 1000 cancer patients and 1000 healthy volunteers.
|
2 Years
|
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Assess the sensitivity of Machine Learning (ML) Algorithm In The Test Dataset.
Time Frame: 1 Years
|
Using the training dataset, qualitative output generated by the PTR-MS instrument will be analyzed using machine learning methods to identify volatile organic compound (VOC) patterns associated with different cancer types, including pancreatic, esophageal, hepatocellular carcinoma, lung, and ovarian cancers.
The trained machine learning model will be tested using the dataset.
|
1 Years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assess The Specificity and Accuracy of ML Analysis In The Test Dataset.
Time Frame: 1 year
|
To determine the specificity, and overall diagnostic accuracy of the machine learning (ML) algorithm for detecting pancreatic, esophageal, hepatocellular carcinoma, lung, and ovarian cancers within the test dataset.
|
1 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Nirmal Choradia, MD, University of Oklahoma - Stephenson Cancer Center
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Endocrine System Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Male Urogenital Diseases
- Urologic Diseases
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Intestinal Diseases
- Respiratory Tract Diseases
- Neoplasms by Histologic Type
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Digestive System Diseases
- Gastrointestinal Diseases
- Colorectal Neoplasms
- Intestinal Neoplasms
- Genital Diseases, Female
- Lung Diseases
- Endocrine Gland Neoplasms
- Pancreatic Diseases
- Liver Diseases
- Neoplasms, Glandular and Epithelial
- Adenocarcinoma
- Liver Neoplasms
- Respiratory Tract Neoplasms
- Thoracic Neoplasms
- Colonic Diseases
- Ovarian Diseases
- Adnexal Diseases
- Genital Neoplasms, Female
- Gonadal Disorders
- Skin Diseases
- Breast Diseases
- Urologic Neoplasms
- Carcinoma
- Urinary Bladder Diseases
- Skin and Connective Tissue Diseases
- Carcinoma, Hepatocellular
- Lung Neoplasms
- Colonic Neoplasms
- Ovarian Neoplasms
- Breast Neoplasms
- Pancreatic Neoplasms
- Head and Neck Neoplasms
- Urinary Bladder Neoplasms
Other Study ID Numbers
- OU-SCC-VOC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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