%0 Journal Article %A Valerie Coats %A Jean-Simon Lalancette %A Fernanda Ribeiro %A Yves Lacasse %A Lise Tremblay %A François Maltais %A Didier Saey %T Body composition analysis using computed tomography image in patients with advanced lung cancer %D 2013 %J European Respiratory Journal %P P1351 %V 42 %N Suppl 57 %X Background: Despite the importance of muscle wasting in lung cancer, body composition in this disease has been mostly assessed using methods that do not allow differentiation between muscle and other tissues.Aim: To compare body composition of patients with lung cancer (1-year survivors versus 1-year non-survivors) using computed tomography (CT scan) image analysis at diagnosis and at the end of follow-up (at 1 year or at death).Method: 39 patients newly diagnosed with advanced lung cancer who had a thoraco-abdominal CT-scan were recruited and separated in two groups according to whether they were alive at one year or not. Following the collection of clinical data, we quantified muscle, visceral fat and subcutaneous fat areas from a single abdominal cross-sectional image at the level of the third lumbar vertebra. Sarcopenia was assessed using CT-based criteria and defined as having a muscle area ≤ 55 cm²/m² for men and ≤ 39 cm²/m² for women.Results: CT scans from 17 males/22 females with advanced lung cancer and a mean age of 64 ±9 years and a body mass index of 26 ±4 Kg/m² were analysed. The one-year survival rate was 51%. At diagnosis, average muscle, visceral fat and subcutaneous fat areas were 141 ±67 cm², 134 ±96 cm² and 141 ±67 cm² respectively. Overall, 28% of patients were sarcopenic at diagnosis but the prevalence tend to be higher in the non-survivors compared to survivors, 37% vs 20% respectively. During the one-year follow-up, the rate of sarcopenia rised in both groups but stayed higher in the non-survivors, 58% vs 40% respectively.Conclusion: Sarcopenia was prevalent in patients with advanced lung cancer and tend to be higher in those who did not survive at one year. %U https://erj.ersjournals.com/content/erj/42/Suppl_57/P1351.full.pdf