- ICH GCP
- Amerikanska kliniska prövningsregistret
- Klinisk prövning NCT07732686
Analysis of Breath Volatile Organic Compounds Using Mass Spectrometry
Breath Volatile Organic Compounds (VOC) Analysis Using Proton Transfer Reaction Mass Spectrometry (PTR-MS)
Studieöversikt
Status
Betingelser
Intervention / Behandling
Detaljerad beskrivning
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.
Studietyp
Inskrivning (Beräknad)
Kontakter och platser
Studiekontakt
- Namn: Lead Onco Nurse
- Telefonnummer: 405-271-8777
- E-post: SCC-IIT-Office@ouhsc.edu
Studera Kontakt Backup
- Namn: Nirmal Choradia, MD
- E-post: Nirmal-Choradia@ouhsc.edu
Studieorter
-
-
Oklahoma
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Oklahoma City, Oklahoma, Förenta staterna, 73117
- OU Health Stephenson Cancer Center
-
Kontakt:
- Nirmal Choradia, MD
- E-post: Nirmal-Choradia@ouhsc.edu
-
-
Deltagandekriterier
Urvalskriterier
Åldrar som är berättigade till studier
- Vuxen
- Äldre vuxen
Tar emot friska volontärer
Testmetod
Studera befolkning
Beskrivning
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
Studieplan
Hur är studien utformad?
Designdetaljer
Kohorter och interventioner
Grupp / Kohort |
Intervention / Behandling |
|---|---|
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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.
Andra namn:
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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.
Andra namn:
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Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
VOC Signature Collection.
Tidsram: 2 Years
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The successful collection of breath samples from 1000 cancer patients and 1000 healthy volunteers.
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2 Years
|
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Assess the sensitivity of Machine Learning (ML) Algorithm In The Test Dataset.
Tidsram: 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.
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1 Years
|
Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
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Assess The Specificity and Accuracy of ML Analysis In The Test Dataset.
Tidsram: 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.
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1 year
|
Samarbetspartners och utredare
Sponsor
Utredare
- Huvudutredare: Nirmal Choradia, MD, University of Oklahoma - Stephenson Cancer Center
Studieavstämningsdatum
Studera stora datum
Studiestart (Beräknad)
Primärt slutförande (Beräknad)
Avslutad studie (Beräknad)
Studieregistreringsdatum
Först inskickad
Först inskickad som uppfyllde QC-kriterierna
Första postat (Faktisk)
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
Senast verifierad
Mer information
Termer relaterade till denna studie
Ytterligare relevanta MeSH-villkor
- Urogenitala sjukdomar
- Genitala sjukdomar
- Sjukdomar i det endokrina systemet
- Urogenitala neoplasmer
- Neoplasmer efter plats
- Neoplasmer
- Manliga urogenitala sjukdomar
- Urologiska sjukdomar
- Kvinnliga urogenitala sjukdomar
- Kvinnliga urogenitala sjukdomar och graviditetskomplikationer
- Tarmsjukdomar
- Luftvägssjukdomar
- Neoplasmer efter histologisk typ
- Gastrointestinala neoplasmer
- Neoplasmer i matsmältningssystemet
- Matsmältningssystemets sjukdomar
- Gastrointestinala sjukdomar
- Kolorektala neoplasmer
- Intestinala neoplasmer
- Genitala sjukdomar, kvinnor
- Lungsjukdomar
- Neoplasmer i endokrina körtel
- Bukspottkörtelsjukdomar
- Leversjukdomar
- Neoplasmer, körtel och epitel
- Adenocarcinom
- Neoplasmer i levern
- Neoplasmer i andningsvägarna
- Thoracic neoplasmer
- Kolonsjukdomar
- Ovariella sjukdomar
- Adnexala sjukdomar
- Genitala neoplasmer, hona
- Gonadal sjukdomar
- Hudsjukdomar
- Bröstsjukdomar
- Urologiska neoplasmer
- Carcinom
- Sjukdomar i urinblåsan
- Hud- och bindvävssjukdomar
- Karcinom, hepatocellulärt
- Lungneoplasmer
- Kolonneoplasmer
- Ovariella neoplasmer
- Bröstneoplasmer
- Pankreatiska neoplasmer
- Neoplasmer i huvud och hals
- Neoplasmer i urinblåsan
Andra studie-ID-nummer
- OU-SCC-VOC
Plan för individuella deltagardata (IPD)
Planerar du att dela individuella deltagardata (IPD)?
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