Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study

INTRODUCTION: Whole-body MRI (WB-MRI) is recommended by the National Institute of Clinical Excellence as the first-line imaging tool for diagnosis of multiple myeloma. Reporting WB-MRI scans requires expertise to interpret and can be challenging for radiologists who need to meet rapid turn-around re...

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Detalles Bibliográficos
Autores principales: Satchwell, Laura, Wedlake, Linda, Greenlay, Emily, Li, Xingfeng, Messiou, Christina, Glocker, Ben, Barwick, Tara, Barfoot, Theodore, Doran, Simon, Leach, Martin O, Koh, Dow Mu, Kaiser, Martin, Winzeck, Stefan, Qaiser, Talha, Aboagye, Eric, Rockall, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Radiology and Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535185/
https://www.ncbi.nlm.nih.gov/pubmed/36198471
http://dx.doi.org/10.1136/bmjopen-2022-067140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535185/
https://www.ncbi.nlm.nih.gov/pubmed/36198471
http://dx.doi.org/10.1136/bmjopen-2022-067140

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