European Journal of Nuclear Medicine and Molecular Imaging | 2019

Exploratory radiomic features from integrated 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging are associated with contemporaneous metastases in oesophageal/gastroesophageal cancer

 
 
 
 
 
 
 
 
 
 

Abstract


PurposeThe purpose of this study was to determine if 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) features are associated with contemporaneous metastases in patients with oesophageal/gastroesophageal cancer.MethodsFollowing IRB approval and informed consent, patients underwent a staging PET/MRI following 18F-FDG injection (326\u2009±\u200928\xa0MBq) and 156\u2009±\u200923\xa0min uptake time. First-order histogram and second-order grey level co-occurrence matrix features were computed for PET standardized uptake value (SUV) and MRI T1-W, T2-W, diffusion weighted (DWI) and apparent diffusion coefficient (ADC) images for the whole tumour volume. K-means clustering assessed the correlation of feature-pairs with metastases. Multivariate analysis of variance (MANOVA) was performed to assess the statistical separability of the groups identified by feature-pairs. Sensitivity (SN), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), and accuracy (ACC) were calculated for these features and compared with SUVmax, ADCmean and maximum diameter alone for predicting contemporaneous metastases.ResultsTwenty patients (18 males, 2 female; median 67\xa0years, range 52–86) comprised the final study cohort; ten patients had metastases. Lower second-order SUV entropy combined with higher second-order ADC entropy were the best feature-pair for discriminating metastatic patients, MANOVA p value <0.001 (SN\u2009=\u200980%, SP\u2009=\u200980%, PPV\u2009=\u200980%, NPV\u2009=\u200980%, ACC\u2009=\u200980%). SUVmax (SN\u2009=\u200930%, SP\u2009=\u200980%, PPV\u2009=\u200960%, NPV\u2009=\u200953%, ACC\u2009=\u200955%), ADCmean (SN\u2009=\u200920%, SP\u2009=\u200970%, PPV\u2009=\u200940%, NPV\u2009=\u200947%, ACC\u2009=\u200945%) and tumour maximum diameter (SN\u2009=\u200910%, SP\u2009=\u200990%, PPV\u2009=\u200950%, NPV\u2009=\u200950%, ACC\u2009=\u200950%) had poorer sensitivity and accuracy.ConclusionHigh ADC entropy combined with low SUV entropy is associated with a higher prevalence of metastases and a promising initial signature for future study.

Volume 46
Pages 1478 - 1484
DOI 10.1007/s00259-019-04306-7
Language English
Journal European Journal of Nuclear Medicine and Molecular Imaging

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