| Literature DB >> 33924382 |
Abdalla Ibrahim1,2,3,4, Turkey Refaee1,5, Sergey Primakov1,4, Bruno Barufaldi6, Raymond J Acciavatti6, Renée W Y Granzier7, Roland Hustinx3, Felix M Mottaghy2,4, Henry C Woodruff1,2, Joachim E Wildberger2, Philippe Lambin1,2, Andrew D A Maidment6.
Abstract
While handcrafted radiomic features (HRFs) have shown promise in the field of personalized medicine, many hurdles hinder its incorporation into clinical practice, including but not limited to their sensitivity to differences in acquisition and reconstruction parameters. In this study, we evaluated the effects of differences in in-plane spatial resolution (IPR) on HRFs, using a phantom dataset (n = 14) acquired on two scanner models. Furthermore, we assessed the effects of interpolation methods (IMs), the choice of a new unified in-plane resolution (NUIR), and ComBat harmonization on the reproducibility of HRFs. The reproducibility of HRFs was significantly affected by variations in IPR, with pairwise concordant HRFs, as measured by the concordance correlation coefficient (CCC), ranging from 42% to 95%. The number of concordant HRFs (CCC > 0.9) after resampling varied depending on (i) the scanner model, (ii) the IM, and (iii) the NUIR. The number of concordant HRFs after ComBat harmonization depended on the variations between the batches harmonized. The majority of IMs resulted in a higher number of concordant HRFs compared to ComBat harmonization, and the combination of IMs and ComBat harmonization did not yield a significant benefit. Our developed framework can be used to assess the reproducibility and harmonizability of RFs.Entities:
Keywords: harmonization; image processing; radiomics biomarkers; reproducibility
Year: 2021 PMID: 33924382 DOI: 10.3390/cancers13081848
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639