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Combat Harmonization of Image Reconstruction Parameters to Improve the Repeatability of Radiomics Features Publisher



Hajianfar G1 ; Avval AH2 ; Sabouri M1 ; Khateri M3 ; Jenabi E4 ; Geramifar P4 ; Oveisi M5 ; Shiri I6 ; Zaidi H6, 7, 8, 9
Authors
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Authors Affiliations
  1. 1. Iran University of Medical Science, Rajaie Cardiovascular Medical and Research Center, Tehran, Iran
  2. 2. Mashhad University of Medical Sciences, School of Medicine, Mashhad, Iran
  3. 3. Islamic Azad University, Science and Research Branch, Department of Medical Radiation Engineering, Iran
  4. 4. Tehran University of Medical Sciences, Research Center for Nuclear Medicine, Shariati Hospital, Tehran, Iran
  5. 5. King's College London, London, United Kingdom
  6. 6. Geneva University Hospital, Division of Nuclear Medicine and Molecular Imaging, Geneva, Switzerland
  7. 7. Geneva University Neurocenter, Geneva University, Geneva, CH-1205, Switzerland
  8. 8. University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Groningen, 9700 RB, Netherlands
  9. 9. University of Southern Denmark, Department of Nuclear Medicine, Odense, DK-500, Denmark

Source: 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record# NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors# RTSD 2022 Published:2021


Abstract

Image reconstruction parameters lead to variability in radiomic features, which challenges repeatability and reproducibility of radiomics features, especially in multicenter clinical trials. To deal with this issue, a number of harmonization techniques were proposed. The aim of the current study was to investigate feature domain harmonization to cope with repeatability issues in PET radiomic features. Our study was conducted on a thorax phantom filled with 18F-FDG to acquire PET/CT images followed by extraction of 56 radiomics features on each of the six phantom lesions. Different reconstruction algorithms, post-processing filters, number of iterations, number of subsets, and matrix sizes were investigated. ComBat harmonization method was applied to these parameters on radiomics features and the results and associated p-values reported using Kruskal-Wallis test with a significance level of 0.05. This test indicated that 2, 25, 8, 26, and 29 features for reconstruction algorithms, post-processing filter, number of iterations, number of subset sand matrix size parameters, respectively, had significant variability (all p-values <0.05) before harmonization. These were reduced to 0, 2, 0, 0, and 0 features, respectively. The results of our study indicate that the repeatability of PET radiomics features among several image reconstruction parameters might be improved with the help of harmonization methods and could further support multi-institutional studies. © 2021 IEEE.
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