Yendamuri emphasizes the importance of incorporating body composition into obesity assessments in cancer research. Rather than relying solely on BMI, he suggests using alternative measures such as waist circumference and waist-to-hip ratio, which may provide a more accurate representation of body composition. He also discusses the potential role of computed tomography (CT) imaging as a more comprehensive assessment tool, particularly in oncology, where patients routinely undergo CT scans as part of their care.
Because CT imaging is already widely used in cancer evaluation, Yendamuri argues that these scans could offer an opportunity to better characterize body composition without requiring additional imaging. He suggests that the divergence between BMI and actual body composition may help explain some of the conflicting findings reported in previous studies of obesity and cancer.
His perspective underscores the need for more precise measures of obesity in oncology research, particularly when investigating how body composition influences cancer risk and outcomes.