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Diagnosis of Cancer Using Breath Samples

NCT ID: NCT01234987

Last Updated: 2011-10-28

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

COMPLETED

Study Classification

OBSERVATIONAL

Brief Summary

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The purpose of this study is to collect breath samples from healthy and cancer sick patients. The breath, collected to special bags, will be transferred to laboratories in the Technion and analyzed using an electronic nose system developed in Hossam Haick's labs (Chemical Engineering, Technion). The hypothesis is that based on the analysis of the chemical bio-markers present in the exhaled breath, cancer states can be distinguished from healthy subjects or before and after treatment, allowing a technique for diagnosis of cancer and/or cancer treatment.

Detailed Description

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Conditions

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Cancer

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Breast cancer

No interventions assigned to this group

Colon cancer

No interventions assigned to this group

Lung Cancer

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* The cancer is local or homeostatic
* The subject did not undergo surgery for tumor removal, chemotherapy or radiation treatment prior to first sampling
* The subject signed an informed consent form

Exclusion Criteria

* The subject is addicted to drugs or alcohol
* The subject smoked in the last hour
* There are communication problems with the subject
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Rambam Hospital

UNKNOWN

Sponsor Role collaborator

Technion, Israel Institute of Technology

OTHER

Sponsor Role lead

Locations

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Rambam Health Care Campus

Haifa, , Israel

Site Status

Countries

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Israel

Other Identifiers

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DCHHSGCTIL

Identifier Type: -

Identifier Source: org_study_id