The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
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 t...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/13/8/1848 |
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| author | Abdalla Ibrahim Turkey Refaee Sergey Primakov Bruno Barufaldi Raymond J. Acciavatti Renée W. Y. Granzier Roland Hustinx Felix M. Mottaghy Henry C. Woodruff Joachim E. Wildberger Philippe Lambin Andrew D. A. Maidment |
| author_facet | Abdalla Ibrahim Turkey Refaee Sergey Primakov Bruno Barufaldi Raymond J. Acciavatti Renée W. Y. Granzier Roland Hustinx Felix M. Mottaghy Henry C. Woodruff Joachim E. Wildberger Philippe Lambin Andrew D. A. Maidment |
| author_sort | Abdalla Ibrahim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T12:23:39Z |
| format | Article |
| id | doaj.art-eb6bd1e7785a4a058d0b9b29a2433a3e |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T12:23:39Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-eb6bd1e7785a4a058d0b9b29a2433a3e2023-11-21T15:19:39ZengMDPI AGCancers2072-66942021-04-01138184810.3390/cancers13081848The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat HarmonizationAbdalla Ibrahim0Turkey Refaee1Sergey Primakov2Bruno Barufaldi3Raymond J. Acciavatti4Renée W. Y. Granzier5Roland Hustinx6Felix M. Mottaghy7Henry C. Woodruff8Joachim E. Wildberger9Philippe Lambin10Andrew D. A. Maidment11The D-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6200 Maastricht, The NetherlandsThe D-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6200 Maastricht, The NetherlandsThe D-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6200 Maastricht, The NetherlandsDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USADepartment of Surgery, GROW—School for Oncology, Maastricht University Medical Centre+, 6200 Maastricht, The NetherlandsDivision of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, University Hospital of Liège and GIGA CRC-In Vivo Imaging, University of Liège, 4000 Liege, BelgiumDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, 6200 Maastricht, The NetherlandsThe D-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6200 Maastricht, The NetherlandsDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, 6200 Maastricht, The NetherlandsThe D-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6200 Maastricht, The NetherlandsDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USAWhile 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.https://www.mdpi.com/2072-6694/13/8/1848image processingharmonizationreproducibilityradiomics biomarkers |
| spellingShingle | Abdalla Ibrahim Turkey Refaee Sergey Primakov Bruno Barufaldi Raymond J. Acciavatti Renée W. Y. Granzier Roland Hustinx Felix M. Mottaghy Henry C. Woodruff Joachim E. Wildberger Philippe Lambin Andrew D. A. Maidment The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization Cancers image processing harmonization reproducibility radiomics biomarkers |
| title | The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization |
| title_full | The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization |
| title_fullStr | The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization |
| title_full_unstemmed | The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization |
| title_short | The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization |
| title_sort | effects of in plane spatial resolution on ct based radiomic features stability with and without combat harmonization |
| topic | image processing harmonization reproducibility radiomics biomarkers |
| url | https://www.mdpi.com/2072-6694/13/8/1848 |
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