Purpose


Objectives
To identify potential prognostically relevant image characteristics for DLBCL patients
To assess the sensitivity of image characteristics to the variability of image quality
To assess the repeatability and reproducibility of the potential prognostically relevant image characteristics
To develop a prognostic model to predict 2 years of progression free survival in DLBCL patients
To assess the potential added prognostic significance of genomic
To clinically validate the prognostic model using the other clinical studies of the PETRA database
Publications
Eertink, J. J., Pfaehler, E., Wiegers, S. E., van de Brug, T., Lugtenburg, P. J., Hoekstra, O. S., Zijlstra, J. M., de Vet, H., & Boellaard, R. (2021). Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, jnumed.121.262117. https://doi.org/10.2967/jnumed.121.262117
Eertink, J. J., van de Brug, T., Wiegers, S. E., Zwezerijnen, G., Pfaehler, E., Lugtenburg, P. J., van der Holt, B., de Vet, H., Hoekstra, O. S., Boellaard, R., & Zijlstra, J. M. (2021). 18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma. European journal of nuclear medicine and molecular imaging, 10.1007/s00259-021-05480-3. https://doi.org/10.1007/s00259-021-05480-3