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'Real-world' radiomics from multi-vendor MRI: an original retrospective study on the prediction of nodal status and disease survival in breast cancer, as an exemplar to promote discussion of the wider issues

Autor: Simon J. Doran, Santosh Kumar, Matthew Orton, James d’Arcy, Fenna Kwaks, Elizabeth O’Flynn, Zaki Ahmed, Kate Downey, Mitch Dowsett, Nicholas Turner, Christina Messiou, Dow-Mu Koh

Publikováno v: Cancer Imaging, Vol 21, Iss 1, Pp 1-18 (2021)

Abstract Background Most MRI radiomics studies to date, even multi-centre ones, have used “pure” datasets deliberately accrued from single-vendor, single-field-strength scanners. This does not reflect aspirations for the ultimate generalisability

Externí odkaz: https://doaj.org/article/b8803efd26464f2cba8a96710f55b876

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Autor: Matthew R. Orton, Fenna Kwaks, Dow-Mu Koh, Mitch Dowsett, James A. d’Arcy, Santosh Kumar, Elizabeth O'Flynn, Zaki Ahmed, Nicholas C. Turner, Kate Downey, Christina Messiou, Simon J. Doran

Publikováno v: Cancer Imaging, Vol 21, Iss 1, Pp 1-18 (2021)
Cancer Imaging

BackgroundMost MRI radiomics studies to date, even multi-centre ones, have used “pure” datasets deliberately accrued from single-vendor, single-field-strength scanners. This does not reflect aspirations for the ultimate generalisability of AI mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e6490e8a9fd239c63d4d81676dee86
https://doaj.org/article/b8803efd26464f2cba8a96710f55b876

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