Clinical Usefulness of Standardized Uptake Value Normalized to Lean Body Mass Measured Using a Body Composition...

Area of Science:

• Nuclear Medicine
• Radiopharmacology
• Medical Imaging

Background:

• Standardized uptake value normalized to lean body mass (SUL) is crucial for quantitative PET imaging.
• Predictive equations for lean body mass (LBM) may lack accuracy across diverse populations.
• Accurate LBM estimation is vital for reliable SUL calculations in clinical settings.

Purpose of the Study:

• To compare SUL values derived from predictive equations with a body composition analyzer (BCA)-based method in a Japanese population.
• To evaluate the clinical utility and accuracy of different SUL calculation methods.
• To assess gender-specific differences in SUL estimations.

Main Methods:

• PET imaging was performed on 85 Japanese subjects.
• SUL was calculated using two predictive equations (Pieterman, Janmahasatian) and a BCA-based method.
• Pearson correlation, Bland-Altman analysis, and intraclass correlation coefficients (ICC) were used for comparison.

Main Results:

• Significant positive correlations were found between body weight and both SUV and SUL.
• Janmahasatian's equation-based SUL was comparable to the BCA-based SUL in the overall cohort.
• BCA-based SUL showed significant differences in gender subgroup analyses, performing less reliably in females.

Conclusions:

• The BCA-based method is a viable alternative for SUL calculation in the Japanese population, particularly when using Janmahasatian's equation.
• Gender-specific differences in LBM and SUL estimations are significant and must be considered in clinical PET studies.
• Population-specific validation of SUL calculation methods is essential for accurate quantitative PET imaging.