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

• Conditions: Lung Cancer

• Registration Number: NCT01887769
• Lead Sponsor: 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2012-05
• Study First Submitted: 2013-02-13
• Study First Submitted QC: 2013-06-25
• Study First Posted: 2013-06-27
• Status Verified: 2017-01
• Last Update Submitted: 2017-01-05
• Last Update Posted: 2017-01-06
• Primary Completion: 2017-07
• Study Completion: 2017-10

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 1000

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 & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Change of fat area (cm2/m2) at the level of the third lumbar vertebra	at the time of the diagnosis of lung cancer and one year following it.
Change of muscle area (cm2/m2) at the level of the third lumbar vertebra	at the time of the diagnosis of lung cancer and one year following it.

Secondary Outcome Measures

Name	Time	Method
days of survival	From the time of the diagnosis of lung cancer until one year

Trial Locations

Locations (1)

Institut universitaire de cardiologie et de pneumologie de Québec; 🇨🇦 Québec, Quebec, Canada