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Introduction to Normal Distributions01:29

Introduction to Normal Distributions

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Evaluation of CT-based SUV normalization.

Joke Devriese1, Laurence Beels, Alex Maes

  • 1Department of Public Health and Primary Care @ Kulak, KU Leuven campus Kulak, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium.

Physics in Medicine and Biology
|August 9, 2016
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Summary
This summary is machine-generated.

This study introduces a computed tomography (CT)-based method for determining lean body mass (LBM) and lean tissue (LT), finding LBMJames to be the most advantageous for standardized uptake value (SUV) normalization in PET/CT imaging.

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Area of Science:

  • Nuclear Medicine
  • Radiology
  • Medical Imaging Analysis

Background:

  • Standardized uptake value (SUV) normalization in PET/CT imaging is crucial for accurate quantitative analysis.
  • Conventional normalization methods, such as body weight (BW), may introduce variability.
  • Accurate determination of lean body mass (LBM) is essential for improved SUV normalization.

Purpose of the Study:

  • To determine patients' lean body mass (LBM) and lean tissue (LT) using a computed tomography (CT)-based method.
  • To compare standardized uptake value (SUV) normalized by CT-derived LBM/LT with conventionally normalized SUVs.
  • To evaluate the variability and dependence on normalization factors for different SUV normalization methods.

Main Methods:

  • Retrospective analysis of head-to-toe PET/CT examinations.
  • Semi-automatic segmentation of tissues using CT Hounsfield units (HU) for LBM and LT determination (LBMCT, LTCT).
  • Comparison of CT-estimated LBM (LBMCT) with formula-based estimates (LBMJames, LBMJanma) and calculation of body surface area (BSA) using the DuBois formula.

Main Results:

  • CT-estimated body weight (BWCT) showed non-significant difference (0.8 kg) compared to actual BW.
  • LBMJames estimates were significantly higher than LBMJanma (4.7 kg for females, 1.0 kg for males).
  • Formula-based LBM estimates did not significantly differ from LBMCT.
  • SUV normalized for LBMJames (SUVLBM-James) showed significantly reduced coefficient of variation (CV) in liver (12.3%) and mediastinum (11.1-12.2%) compared to SUVBW (15.4% and 15.5%).
  • Only SUVBW and SUVLBM-James demonstrated independence from normalization factors.

Conclusions:

  • The CT-based method for LBM and LT determination is validated.
  • SUV normalization using LBMJames appears advantageous, reducing variability in reference tissues compared to SUVBW.
  • LBMJames is identified as the most beneficial normalization method for SUV in PET/CT imaging, with no demonstrated advantage for other methods over BW.