Body Composition Analysis for Patient With Lung Cancer Using Computed Tomography Image Analysis

NCT ID: NCT01887769

Last Updated: 2017-01-06

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 1000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2012-05-31
• Study Completion Date: 2017-10-31

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.

Conditions

Lung Cancer

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: RETROSPECTIVE

Study Groups

Lung cancer patient at diagnosis

No interventions assigned to this group

Eligibility 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)

• Minimum Eligible Age: 40 Years
• Maximum Eligible Age: 80 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec

OTHER

Sponsor Role: lead

Responsible Party

Didier Saey

PhD

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Didier Saey, PhD

Role: PRINCIPAL_INVESTIGATOR

Institut universitaire de cardiologie et de pneumologie de Québec, University Laval

Locations

Institut universitaire de cardiologie et de pneumologie de Québec

Québec, Quebec, Canada

Site Status: RECRUITING

Countries

Canada

Facility Contacts

Didier Saey, PhD

Role: primary

didier.saey@criucpq.ulaval.ca

418-656-8711 ext. 2614

Other Identifiers

20824

Identifier Type: -

Identifier Source: org_study_id