CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae
Abstract Radiomics features (RFs) studies have showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. The provided CadAIver dataset has the aims of...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03191-6 |
| _version_ | 1827284518586810368 |
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| author | Riccardo Levi Maximiliano Mollura Giovanni Savini Federico Garoli Massimiliano Battaglia Angela Ammirabile Luca A. Cappellini Simona Superbi Marco Grimaldi Riccardo Barbieri Letterio S. Politi |
| author_facet | Riccardo Levi Maximiliano Mollura Giovanni Savini Federico Garoli Massimiliano Battaglia Angela Ammirabile Luca A. Cappellini Simona Superbi Marco Grimaldi Riccardo Barbieri Letterio S. Politi |
| author_sort | Riccardo Levi |
| collection | DOAJ |
| description | Abstract Radiomics features (RFs) studies have showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. The provided CadAIver dataset has the aims of evaluating how CT scanner parameters effect radiomics features on cadaveric donor. The dataset comprises 112 unique CT acquisitions of a cadaveric truck acquired on 3 different CT scanners varying KV, mA, field-of-view, and reconstruction kernel settings. Technical validation of the CadAIver dataset comprises a comprehensive univariate and multivariate GLM approach to assess stability of each RFs extracted from lumbar vertebrae. The complete dataset is publicly available to be applied for future research in the RFs field, and could foster the creation of a collaborative open CT image database to increase the sample size, the range of available scanners, and the available body districts. |
| first_indexed | 2024-04-24T09:56:46Z |
| format | Article |
| id | doaj.art-7f42edc8c9a04dff8c5ef0e732f79729 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-24T09:56:46Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-7f42edc8c9a04dff8c5ef0e732f797292024-04-14T11:07:27ZengNature PortfolioScientific Data2052-44632024-04-011111510.1038/s41597-024-03191-6CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebraeRiccardo Levi0Maximiliano Mollura1Giovanni Savini2Federico Garoli3Massimiliano Battaglia4Angela Ammirabile5Luca A. Cappellini6Simona Superbi7Marco Grimaldi8Riccardo Barbieri9Letterio S. Politi10Neuroradiology Department, IRCCS Humanitas Research HospitalDepartment of Electronic, Information and Bioengineering, Politecnico di MilanoNeuroradiology Department, IRCCS Humanitas Research HospitalNeuroradiology Department, IRCCS Humanitas Research HospitalNeuroradiology Department, IRCCS Humanitas Research HospitalNeuroradiology Department, IRCCS Humanitas Research HospitalNeuroradiology Department, IRCCS Humanitas Research HospitalNeuroradiology Department, IRCCS Humanitas Research HospitalNeuroradiology Department, IRCCS Humanitas Research HospitalDepartment of Electronic, Information and Bioengineering, Politecnico di MilanoNeuroradiology Department, IRCCS Humanitas Research HospitalAbstract Radiomics features (RFs) studies have showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. The provided CadAIver dataset has the aims of evaluating how CT scanner parameters effect radiomics features on cadaveric donor. The dataset comprises 112 unique CT acquisitions of a cadaveric truck acquired on 3 different CT scanners varying KV, mA, field-of-view, and reconstruction kernel settings. Technical validation of the CadAIver dataset comprises a comprehensive univariate and multivariate GLM approach to assess stability of each RFs extracted from lumbar vertebrae. The complete dataset is publicly available to be applied for future research in the RFs field, and could foster the creation of a collaborative open CT image database to increase the sample size, the range of available scanners, and the available body districts.https://doi.org/10.1038/s41597-024-03191-6 |
| spellingShingle | Riccardo Levi Maximiliano Mollura Giovanni Savini Federico Garoli Massimiliano Battaglia Angela Ammirabile Luca A. Cappellini Simona Superbi Marco Grimaldi Riccardo Barbieri Letterio S. Politi CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae Scientific Data |
| title | CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae |
| title_full | CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae |
| title_fullStr | CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae |
| title_full_unstemmed | CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae |
| title_short | CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae |
| title_sort | ct cadaveric dataset for radiomics features stability assessment in lumbar vertebrae |
| url | https://doi.org/10.1038/s41597-024-03191-6 |
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