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Body Composition Analysis for Patient With Lung Cancer Using Computed Tomography Image Analysis (BAT-SCAN)

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ClinicalTrials.gov Identifier: NCT01887769
Recruitment Status : Unknown
Verified January 2017 by Didier Saey, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec.
Recruitment status was:  Recruiting
First Posted : June 27, 2013
Last Update Posted : January 6, 2017
Sponsor:
Information provided by (Responsible Party):
Didier Saey, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec

Brief Summary:

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.


Condition or disease
Lung Cancer

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Study Type : Observational
Estimated Enrollment : 1000 participants
Observational Model: Cohort
Time Perspective: Retrospective
Study Start Date : May 2012
Estimated Primary Completion Date : July 2017
Estimated Study Completion Date : October 2017

Resource links provided by the National Library of Medicine


Group/Cohort
Lung cancer patient at diagnosis



Primary Outcome Measures :
  1. 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. ]
  2. 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. ]

Secondary Outcome Measures :
  1. days of survival [ Time Frame: From the time of the diagnosis of lung cancer until one year ]


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Ages Eligible for Study:   40 Years to 80 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population
Lung cancer patients, at diagnosis, following in oncology clinic
Criteria

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)

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01887769


Locations
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Canada, Quebec
Institut universitaire de cardiologie et de pneumologie de Québec Recruiting
Québec, Quebec, Canada, G1V 4G5
Contact: Didier Saey, PhD    418-656-8711 ext 2614    didier.saey@criucpq.ulaval.ca   
Principal Investigator: Didier Saey, PhD         
Sponsors and Collaborators
Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec
Investigators
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Principal Investigator: Didier Saey, PhD Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec

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Responsible Party: Didier Saey, PhD, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec
ClinicalTrials.gov Identifier: NCT01887769     History of Changes
Other Study ID Numbers: 20824
First Posted: June 27, 2013    Key Record Dates
Last Update Posted: January 6, 2017
Last Verified: January 2017

Keywords provided by Didier Saey, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec:
Lung cancer
Body composition analysis
Ct-Scan
Muscle mass
Cachexia

Additional relevant MeSH terms:
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Lung Neoplasms
Respiratory Tract Neoplasms
Thoracic Neoplasms
Neoplasms by Site
Neoplasms
Lung Diseases
Respiratory Tract Diseases