Last updated on February 2018

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


Brief description of study

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 Qubec (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.

Clinical Study Identifier: NCT01887769

Contact Investigators or Research Sites near you

Start Over

Didier Saey, PhD

Institut universitaire de cardiologie et de pneumologie de Qu bec
Québec, QC Canada
  Connect »

Recruitment Status: Open


Brief Description Eligibility Contact Research Team


Receive Emails About New Clinical Trials!

Sign up for our FREE service to receive email notifications when clinical trials are posted in the medical category of interest to you.