Publication: MRI-based radiomics for predicting histology in malignant salivary gland tumors: methodology and "proof of principle"
MRI-based radiomics for predicting histology in malignant salivary gland tumors: methodology and "proof of principle"
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Khodabakhshi, Z., Motisi, L., Bink, A., Broglie, M. A., Rupp, N. J., Fleischmann, M., von der Grün, J., Guckenberger, M., Tanadini-Lang, S., & Balermpas, P. (2024). MRI-based radiomics for predicting histology in malignant salivary gland tumors: methodology and “proof of principle.” Scientific Reports, 14(1), 9945. https://doi.org/10.1038/s41598-024-60200-9
Abstract
Abstract
Abstract
Defining the exact histological features of salivary gland malignancies before treatment remains an unsolved problem that compromises the ability to tailor further therapeutic steps individually. Radiomics, a new methodology to extract quantitative information from medical images, could contribute to characterizing the individual cancer phenotype already before treatment in a fast and non-invasive way. Consequently, the standardization and implementation of radiomic analysis in the clinical routine work to predict histology of salivar
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Creators (Authors)
- Khodabakhshi, Zahra
- Motisi, Laura
- Broglie, Martina A
- Rupp, Niels J
- Fleischmann, Maximilian
- von der Grün, Jens
- Guckenberger, Matthias
- Tanadini-Lang, Stephanie
- Balermpas, Panagiotis
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Citations
Khodabakhshi, Z., Motisi, L., Bink, A., Broglie, M. A., Rupp, N. J., Fleischmann, M., von der Grün, J., Guckenberger, M., Tanadini-Lang, S., & Balermpas, P. (2024). MRI-based radiomics for predicting histology in malignant salivary gland tumors: methodology and “proof of principle.” Scientific Reports, 14(1), 9945. https://doi.org/10.1038/s41598-024-60200-9
