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Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies. | LitMetric

AI Article Synopsis

  • The study focuses on improving the measurement of tumor heterogeneity in FDG PET scans by using cumulative SUV-volume histograms (CSH), which can better quantify variability in glucose uptake compared to standard SUV measurements.
  • The researchers developed a method where the area under the CSH curve (AUC) serves as an indicator of tumor heterogeneity, with lower AUC values reflecting greater heterogeneity.
  • The findings suggest that using AUC-CSH, especially after correcting for image noise and volume, may provide a more accurate evaluation of tumor responses to therapy compared to just relying on SUV(max).

Article Abstract

Purpose: Standardized uptake values (SUV) are commonly used for quantification of whole-body [(18)F]fluoro-2-deoxy-D: -glucose (FDG) positron emission tomography (PET) studies. Changes in SUV following therapy, however, only provide a proper measure of response in case of homogeneous FDG uptake in the tumour. The purpose of this study was therefore to implement and characterize a method that enables quantification of heterogeneity in tumour FDG uptake.

Methods: Cumulative SUV-volume histograms (CSH), describing % of total tumour volume above % threshold of maximum SUV (SUV(max)), were calculated. The area under a CSH curve (AUC) is a quantitative index of tumour uptake heterogeneity, with lower AUC corresponding to higher degrees of heterogeneity. Simulations of homogeneous and heterogeneous responses were performed to assess the value of AUC-CSH for measuring uptake and/or response heterogeneity. In addition, partial volume correction and image denoising was applied prior to calculating AUC-CSH. Finally, the method was applied to a number of human FDG scans.

Results: Partial volume correction and noise reduction improved CSH curves. Both simulations and clinical examples showed that AUC-CSH values corresponded with level of tumour heterogeneity and/or heterogeneity in response. In contrast, this correspondence was not seen with SUV(max) alone. The results indicate that the main advantage of AUC-CSH above other measures, such as 1/COV (coefficient of variation), is the possibility to measure or normalize AUC-CSH in different ways.

Conclusion: AUC-CSH might be used as a quantitative index of heterogeneity in tracer uptake. In response monitoring studies it can be used to address heterogeneity in response.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151405PMC
http://dx.doi.org/10.1007/s00259-011-1845-6DOI Listing

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