Master of Science, The Ohio State University, 2024, Anatomy
Introduction
Lung cancer is prevalent and deadly and contributes to approximately 25% of all cancer-related mortalities. With incidence rates rising globally, new treatment options have increased patient overall survival. Lung cancer is unique from other cancer types in that there is a correlation between a patient's body mass index (BMI) and overall survival. Sarcopenia is a skeletomuscular system disorder characterized by a loss of skeletal muscle mass, size, and function. It is identified to be correlated with worse treatment outcomes and survival in several cancer types. Thus, this study explored the relationship between anatomically measured sarcopenia and survival. We hypothesized that sarcopenia would be correlated with a worse overall survival among patients with non-small cell lung cancer. Additionally, we tested two anatomically different measurement methods.
Methods
We abstracted data from both chest and abdominal CT scans from 22 patients consented and enrolled in the FITNESS Study: Longitudinal Geriatric Assessment, Treatment Toxicity, and Biospecimen Collection to Assess Functional Disability Among Older Adults with Lung Cancer at the Ohio State Wexner Medical Center's James Cancer Hospital and Solove Research Institute. Using the NilRead software, the skeletal muscle index (SMI) was analyzed by finding the paravertebral muscles at the T12 level, and the psoas major muscle at the L3 level, and manually tracing it to calculate the SMI. Additionally, the patient's weight, in kg, and height, in meters, were used to calculate their BMI as the same date of their baseline CT scans. The patient's body mass index (BMI) and SMI values for both methods were analyzed and further assessed by patient sex. From there, previously established equations were utilized to calculate the sarcopenic and normal range SMI values for both methods. Next, univariate and multivariate Hazard Cox Ratio tests were run to analyze the impact on survival. A paired samples T-Test wa (open full item for complete abstract)
Committee: Melissa Quinn (Advisor); Jessica Blackburn (Committee Member); Carolyn Presley (Committee Member)
Subjects: Anatomy and Physiology; Medical Imaging; Medicine