ESTRO 37 Abstract book

S115

ESTRO 37

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multicentre calibration/accreditation program to harmonise quantitative imaging system performance. Moreover, continuous monitoring of the FDG PET/CT data quality is warranted [4]. In this lecture the principles of metabolic imaging with PET, the mechanism of FDG uptake, various factors affecting FDG PET/CT tracer uptake and its quantification by SUV will be discussed. Moreover, the need for validation of simplified uptake metrics and tumor delineations and its use as quantitative metabolic imaging biomarker will be addressed. References: [1] Boellaard R. (2009) Standards for PET image acquisition and quantitative data analysis. J.Nucl.Med. 50: 11S-20S [2] Boellaard R, O'Doherty MJ, Weber WA, et al. (2010) FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging. 37:181-200 [3] Boellaard R, Delgado-Bolton R, Oyen WJ, et al. (2015) European Association of Nuclear Medicine (EANM). FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging 42:328- 54 [4] Hristova I, Boellaard R, Vogel W, et al. (2015) Retrospective quality control review of FDG scans in the imaging sub-study of PALETTE EORTC 62072/VEG110727: a randomized, double-blind, placebo-controlled phase III trial. Eur J Nucl Med Mol Imaging. 42:848-57 SP-0216 Image guided radiotherapy to improve treatment delivery accuracy, how far can we go? C. Dickie 1 1 Princess Margaret Cancer Centre, Radiation Medicine Department, Toronto, Canada Abstract text This lecture will focus on the accuracy of image guidance for radiotherapy. An overview of available IGRT technologies will be provided, including but not limited to ultrasound, Plain KV/MV, CBCT, SGRT, and MRI. The advantages and disadvantages of IGRT will be explored in the context of safety, quality and value added to radiation treatment. Evidence supporting the role of IGRT in the radiotherapy delivery process will also be considered, with the overarching theme of 'how precise can we possibly be' and 'how far can we actually go'. SP-0217 Big data: how to handle, interpret and analyse? A. Dekker 1 1 Maastricht Radiation Oncology MAASTRO, Knowledge Engineering, Maastricht, The Netherlands Abstract text Big data, artificial intelligence, machine learning and data science are new fields which are expected to have a major impact on day-to-day oncology practice. Big data based services such as automated contouring and planning, radiomics, decision support systems and literature mining are products already available to our community and these are expected to rapidly change the way we practice medicine. Teaching Lecture: IGRT, SGRT, IGART, improving treatment delivery accuracy, how far can we go? Teaching Lecture: Big data: how to handle, interpret and analyse?

Teaching Lecture: Things radiotherapy physicists need to know about good PET imaging practice

SP-0215 Things radiotherapy physicists need to know about good PET imaging practice R. Boellaard 1 1 Boellaard R, Radiology and Nuclear Medicine, Amsterdam, The Netherlands Abstract text Metabolic activity or glucose consumption can be measured using FDG PET/CT. Quantification of FDG PET/CT studies is often based on so-called standardised uptake values (SUV) which is the FDG concentration observed by PET usually normalised by net injected activity per patient weight. SUVs or other metabolic parameters, such as metabolic volume and total lesion glycolysis can be used for metabolic phenotyping of the tumor. Moreover FDG PET/CT may be useful for radiotherapy purposes, e.g. to assist in tumor delineations or identify regions requiring a higher treatment dose. FDG uptake, its distribution and PET based tumor delineations are associated by various sources of bias and uncertainties [1]. Factor influencing tracer uptake can be described as technical, imaging physics related or biological uncertainties[1]. Use of PET for radiation therapy purposes requires that data or delineations derived from PET are repeatable and reproducible. The latter implies that the effects of the above mentioned factors on SUV should be mitigated and/or harmonized as much as possible [2,3]. Harmonization of PET/CT examinations aims at making SUV reads as exchangeable (comparable) and reproducible as possible by harmonizing imaging procedures, image quality and quantitation and harmonizing data analysis methods and interpretation. The main challenge of harmonisation efforts arises from differences in both PET/CT imaging procedures and in technology across multiple sites and users. To this end the European Association of Nuclear Medicine published FDG PET/CT imaging guidelines [2,3] and started a