Media
Radiomics: from qualitative to quantitative imaging — an interview with BJR author Professor Philippe Lambin
18 June 2020
In this podcast from the British Journal of Radiology, there is an interview with Professor Philippe Lambin, Head of the Department of Precision Medicine at the University of Maastricht, The Netherlands, and author of a recent BJR Review on Radiomics: from qualitative to quantitative imaging, which is part of a special anniversary article series to celebrate BJR’s 125th anniversary as the oldest radiology journal in the world. We talk to Philippe about how quantitative imaging has developed over recent years, the radiomics workflow, potential clinical applications, as well as what challenges we will need to overcome in order to fulfil its potential.
"In the long term, radiomics is not the answer for everything. We will go towards a more multifactorial approach that people call totalomics, holomics or panomics. The idea is to use all variables we have to make decisions rather than focus on one family of variables"
— Professor Philippe Lambin
Listen to the podcast to find out more!
List of scientific publications
Parmar C, Rios Velazquez E, Leijenaar R, et al. Robust radiomics feature quantification using semiautomatic volumetric segmentation. PLoS One. 2014;9(7):e102107.
Hugo J. W. L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, Chintan Parmar, Patrick Grossmann, Sara Cavalho, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 2014;5: 4006.
Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012;48: 441-446.
Velazquez ER, Parmar C, Jermoumi M, Mak RH, van Baardwijk A, Fennessy FM, et al. Volumetric CT-based segmentation of NSCLC using 3D-Slicer. Scientific reports 2013;3: 3529.
Leijenaar RT, Carvalho S, Velazquez ER, van Elmpt WJ, Parmar C, Hoekstra OS, et al. Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability. Acta Oncol 2013;52: 1391-1397.
Lambin P, van Stiphout RG, Starmans MH, Rios-Velazquez E, Nalbantov G, Aerts HJ, et al. Predicting outcomes in radiation oncology--multifactorial decision support systems. Nat Rev Clin Oncol 2013;10: 27-40.
Lambin P, Roelofs E, Reymen B, Velazquez ER, Buijsen J, Zegers CM, et al. 'Rapid Learning health care in oncology' - An approach towards decision support systems enabling customised radiotherapy'. Radiother Oncol 2013;109: 159-164.
Carvalho S, Leijenaar RT, Velazquez ER, Oberije C, Parmar C, van Elmpt W, et al. Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer. Acta Oncol 2013;52: 1398-1404.
Rios Velazquez E, Aerts HJ, Gu Y, Goldgof DB, De Ruysscher D, Dekker A, et al. A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen. Radiother Oncol 2012;105: 167-173.