lipovalidation

Multi-center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-learning on MRI
Very proud of the first paper of PhD candidate Douwe Spaanderman! This study externally and prospectively validated a radiomics model for differentiating lipomas from atypical lipomatous tumors (ALTs) on MRI, incorporating automatic and minimally interactive segmentation methods to improve clinical feasibility. The model demonstrated strong diagnostic performance across three large cohorts, achieving AUCs of up to 0.89 and performing comparably to expert radiologists, potentially reducing the need for biopsies.
Douwe J. Spaanderman, S. N. Hakkesteegt, D. F. Hanff, A. R. W. Schut, L. M. Schiphouwer, M. Vos, C. Messiou, S. J. Doran, R. L. Jones, A. J. Hayes, L. Nardo, Y. G. Abdelhafez, A. W. Moawad, K. M. Elsayes, S. Lee, T. M. Link, W. J. Niessen, G. J. L. H. van Leenders, J. J. Visser, S. Klein, D. J. Grunhagen, C. Verhoef, Martijn P. A. Starmans
Multi-center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-learning on MRI