- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01887769
Body Composition Analysis for Patient With Lung Cancer Using Computed Tomography Image Analysis (BAT-SCAN)
Rationale: With 1.6 million new cases diagnosed each year and 1.3 million deaths, lung cancer is the leading cancer-related death worldwide and it represents a pressing health issue. Patients with lung cancer are more likely to experience cachexia, a severe debilitating disorder causing fatigue, weight loss, muscle wasting and associated with reduced physical function, increased chemotherapy toxicity and reduced survival. This syndrome occurring in about 80% of advanced cancer patients is the direct cause of death in about 20% of cases. However, despite the importance of cachexia in lung cancer, it has been mainly studied from several assessment methods which do not usually differentiate muscle from other tissues.
Aim: To analyze body composition of patients with lung cancer at diagnosis using computed tomography (CT-Scan) image analysis.
Methods: This is a retrospective study extending over a period of 3 years conducted at the Institut universitaire de cardiologie et de pneumologie de Québec (2009-2012). We listed patients newly diagnosed with lung cancer who had a thoraco-abdominal CT-scan performed in our institution. Following the collection of clinical data from patient records, we used SliceOmatic software to quantify muscle area, visceral fat area and subcutaneous fat area from a single abdominal cross-sectional image at the level of the third lumbar vertebra.
Study Overview
Status
Conditions
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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Quebec
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Québec, Quebec, Canada, G1V 4G5
- Recruiting
- Institut Universitaire de cardiologie et de pneumologie de Quebec
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Contact:
- Didier Saey, PhD
- Phone Number: 2614 418-656-8711
- Email: didier.saey@criucpq.ulaval.ca
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Principal Investigator:
- Didier Saey, PhD
-
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Men or women
- Between 40-80 years of age
- Primary lung cancer diagnosed between 2009 and 2012
- CT-Scan done at the time of the diagnosis
Exclusion Criteria:
- Chemotherapy, radiotherapy or surgery at the time of the first Ct-Scan image
- History of other cancer (during the last five years)
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Lung cancer patient at diagnosis
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Change of muscle area (cm2/m2) at the level of the third lumbar vertebra
Time Frame: at the time of the diagnosis of lung cancer and one year following it.
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at the time of the diagnosis of lung cancer and one year following it.
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Change of fat area (cm2/m2) at the level of the third lumbar vertebra
Time Frame: at the time of the diagnosis of lung cancer and one year following it.
|
at the time of the diagnosis of lung cancer and one year following it.
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
days of survival
Time Frame: From the time of the diagnosis of lung cancer until one year
|
From the time of the diagnosis of lung cancer until one year
|
Collaborators and Investigators
Investigators
- Principal Investigator: Didier Saey, PhD, Institut universitaire de cardiologie et de pneumologie de Québec, University Laval
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 20824
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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