AI-based time-intensity-curve assessment of breast tumors on MRI
- PMID: 37934247
- DOI: 10.1007/s00330-023-10298-8
AI-based time-intensity-curve assessment of breast tumors on MRI
Comment on
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Voxel-wise mapping of DCE-MRI time-intensity-curve profiles enables visualizing and quantifying hemodynamic heterogeneity in breast lesions.Eur Radiol. 2024 Jan;34(1):182-192. doi: 10.1007/s00330-023-10102-7. Epub 2023 Aug 11. Eur Radiol. 2024. PMID: 37566270
References
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- Dietzel M, Trimboli RM, Zanardo M et al (2022) The potential of predictive and prognostic breast MRI (P2-bMRI). Eur Radiol Exp 6(1):42
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- Koh D-M, Papanikolaou N, Bick U et al (2022) Artificial intelligence and machine learning in cancer imaging. Commun Med (Lond) 2(1):133
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- Saha A, Harowicz MR, Grimm LJ et al (2018) A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features. Br J Cancer 119(4):508–516
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