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"Exploring tumour heterogeneity using PET Radiomics"

Elisabeth Pfaehler

 Forschungszentrum Jülich, Germany 

13 July 2022 13:00–14:00

Theatre Room, CiMUS


Personalized cancer therapies are one of the main promises of modern medicine. The analysis of patient genetics on the one hand and tumor phenotype extracted from medical images on the other hand could provide important information on treatment response and could help to guide physicians in selecting the most adequate therapy. The rapidly emerging field radiomics aims to describe the tumor phenotype by calculating a large number of image biomarkers (radiomic features) describing the tumor phenotype in a medical image. Radiomics could therefore play an important role in future clinical decision making. Several studies reported on the promising value of radiomic features extracted from Positron Emission Tomography (PET) images regarding diagnosis or treatment response assessment. However, to date, radiomic features are only used for scientific purposes but are not yet implemented in the clinic. This is due to several challenges coming with radiomics. One of them is the low reproducibility of radiomic features. I.e. if the same patient would be scanned in two different hospitals, a large number of radiomic features would result in large differences across hospitals. Therefore, in each hospital the physician would draw a different conclusion. By standardizing image acquisition, reconstruction and, pre-processing, a large number of radiomic features can be harmonized so that images from different center become comparable.


Elisabeth Pfaehler is a post-doc researcher at the Research Center Forschungszentrum Jülich, Germany, and PhD in Mathematics at the University Hospital of Groningen, The Netherlands. She is working on the standardization of PET quantification methods, radiomics and image enhancement of PET and MR images using deep learning.

Hosted by Pablo  Aguiar's Group

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