TY - JOUR
T1 - The influence of the exclusion of central necrosis on [18F]FDG PET radiomic analysis
AU - Noortman, Wyanne A.
AU - Vriens, Dennis
AU - Mooij, Charlotte D.Y.
AU - Slump, Cornelis H.
AU - Aarntzen, Erik H.
AU - van Berkel, Anouk
AU - Timmers, Henri J.L.M.
AU - Bussink, Johan
AU - Meijer, Tineke W.H.
AU - de Geus-Oei, Lioe Fee
AU - van Velden, Floris H.P.
N1 - Funding Information:
Funding: Dennis Vriens was supported in part by the Netherlands Organisation for Health Research and Development (ZonMw) stipends for a Clinical Research Fellowship (AGIKO) (project no. 92003552) for design and data collection of the original clinical NSCLC study. The costs of the additional dynamic PET scans were covered by the Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen. The PPGL study [19] was supported by the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement 259735 (ENSAT CANCER). No additional funding was received for this study.
Funding Information:
Dennis Vriens was supported in part by the Netherlands Organisation for Health Research and Development (ZonMw) stipends for a Clinical Research Fellowship (AGIKO) (project no. 92003552) for design and data collection of the original clinical NSCLC study. The costs of the additional dynamic PET scans were covered by the Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen. The PPGL study [19] was supported by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement 259735 (ENSAT CANCER). No additional funding was received for this study.
Publisher Copyright:
© 2021 by the authors.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Central necrosis
KW - Radiomics
KW - Tumour delineation
KW - [F]FDG PET/CT
UR - http://www.scopus.com/inward/record.url?scp=85111944749&partnerID=8YFLogxK
U2 - 10.3390/diagnostics11071296
DO - 10.3390/diagnostics11071296
M3 - Article
AN - SCOPUS:85111944749
VL - 11
JO - Diagnostics
JF - Diagnostics
SN - 2075-4418
IS - 7
M1 - 1296
ER -