Wyanne A Noortman1,2, Dennis Vriens1, Charlotte D Y Mooij1,3, Cornelis H Slump2, Erik H Aarntzen4, Anouk van Berkel5, Henri J L M Timmers5, Johan Bussink6, Tineke W H Meijer7, Lioe-Fee de Geus-Oei1,2, Floris H P van Velden1. 1. Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands. 2. TechMed Centre, University of Twente, 7522 NB Enschede, The Netherlands. 3. Technical Medicine, Delft University of Technology, 2628 CD Delft, The Netherlands. 4. Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands. 5. Division of Endocrinology, Department of Internal Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands. 6. Radiotherapy and OncoImmunology Laboratory, Department of Radiation Oncology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands. 7. Department of Radiation Oncology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
Abstract
BACKGROUND: Central necrosis can be detected on [18F]FDG PET/CT as a region with little to no tracer uptake. Currently, there is no consensus regarding the inclusion of regions of central necrosis during volume of interest (VOI) delineation for radiomic analysis. The aim of this study was to assess how central necrosis affects radiomic analysis in PET. METHODS: Forty-three patients, either with non-small cell lung carcinomas (NSCLC, n = 12) or with pheochromocytomas or paragangliomas (PPGL, n = 31), were included retrospectively. VOIs were delineated with and without central necrosis. From all VOIs, 105 radiomic features were extracted. Differences in radiomic features between delineation methods were assessed using a paired t-test with Benjamini-Hochberg multiple testing correction. In the PPGL cohort, performances of the radiomic models to predict the noradrenergic biochemical profile were assessed by comparing the areas under the receiver operating characteristic curve (AUC) for both delineation methods. RESULTS: At least 65% of the features showed significant differences between VOIvital-tumour and VOIgross-tumour (65%, 79% and 82% for the NSCLC, PPGL and combined cohort, respectively). The AUCs of the radiomic models were not significantly different between delineation methods. CONCLUSION: In both tumour types, almost two-third of the features were affected, demonstrating that the impact of whether or not to include central necrosis in the VOI on the radiomic feature values is significant. Nevertheless, predictive performances of both delineation methods were comparable. We recommend that radiomic studies should report whether or not central necrosis was included during delineation.
BACKGROUND:Central necrosis can be detected on [18F]FDG PET/CT as a region with little to no tracer uptake. Currently, there is no consensus regarding the inclusion of regions of central necrosis during volume of interest (VOI) delineation for radiomic analysis. The aim of this study was to assess how central necrosis affects radiomic analysis in PET. METHODS: Forty-three patients, either with non-small cell lung carcinomas (NSCLC, n = 12) or with pheochromocytomas or paragangliomas (PPGL, n = 31), were included retrospectively. VOIs were delineated with and without central necrosis. From all VOIs, 105 radiomic features were extracted. Differences in radiomic features between delineation methods were assessed using a paired t-test with Benjamini-Hochberg multiple testing correction. In the PPGL cohort, performances of the radiomic models to predict the noradrenergic biochemical profile were assessed by comparing the areas under the receiver operating characteristic curve (AUC) for both delineation methods. RESULTS: At least 65% of the features showed significant differences between VOIvital-tumour and VOIgross-tumour (65%, 79% and 82% for the NSCLC, PPGL and combined cohort, respectively). The AUCs of the radiomic models were not significantly different between delineation methods. CONCLUSION: In both tumour types, almost two-third of the features were affected, demonstrating that the impact of whether or not to include central necrosis in the VOI on the radiomic feature values is significant. Nevertheless, predictive performances of both delineation methods were comparable. We recommend that radiomic studies should report whether or not central necrosis was included during delineation.
Entities:
Keywords:
[18F]FDG PET/CT; central necrosis; radiomics; tumour delineation
Authors: Nandita M deSouza; Aad van der Lugt; Christophe M Deroose; Angel Alberich-Bayarri; Luc Bidaut; Laure Fournier; Lena Costaridou; Daniela E Oprea-Lager; Elmar Kotter; Marion Smits; Marius E Mayerhoefer; Ronald Boellaard; Anna Caroli; Lioe-Fee de Geus-Oei; Wolfgang G Kunz; Edwin H Oei; Frederic Lecouvet; Manuela Franca; Christian Loewe; Egesta Lopci; Caroline Caramella; Anders Persson; Xavier Golay; Marc Dewey; James P B O'Connor; Pim deGraaf; Sergios Gatidis; Gudrun Zahlmann Journal: Insights Imaging Date: 2022-10-04
Authors: Wyanne A Noortman; Dennis Vriens; Lioe-Fee de Geus-Oei; Cornelis H Slump; Erik H Aarntzen; Anouk van Berkel; Henri J L M Timmers; Floris H P van Velden Journal: Eur Radiol Date: 2022-08-24 Impact factor: 7.034