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

Baiocco, Serena; Sah, Bert-Ram; Mallia, Andrew; Kelly-Morland, Christian; Neji, Radhouene; Stirling, J James; Jeljeli, Sami; Bevilacqua, Alessandro; Cook, Gary J R; Goh, Vicky (2019). Exploratory radiomic features from integrated 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging are associated with contemporaneous metastases in oesophageal/gastroesophageal cancer. European journal of nuclear medicine and molecular imaging, 46(7), pp. 1478-1484. Springer-Verlag 10.1007/s00259-019-04306-7

[img]
Preview
Text
sah_10.1007_s00259-019-04306-7.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (1MB) | Preview

PURPOSE

The 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.

METHODS

Following IRB approval and informed consent, patients underwent a staging PET/MRI following 18F-FDG injection (326 ± 28 MBq) and 156 ± 23 min 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.

RESULTS

Twenty patients (18 males, 2 female; median 67 years, 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 = 80%, SP = 80%, PPV = 80%, NPV = 80%, ACC = 80%). SUVmax (SN = 30%, SP = 80%, PPV = 60%, NPV = 53%, ACC = 55%), ADCmean (SN = 20%, SP = 70%, PPV = 40%, NPV = 47%, ACC = 45%) and tumour maximum diameter (SN = 10%, SP = 90%, PPV = 50%, NPV = 50%, ACC = 50%) had poorer sensitivity and accuracy.

CONCLUSION

High ADC entropy combined with low SUV entropy is associated with a higher prevalence of metastases and a promising initial signature for future study.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Sah, Bert-Ram

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1619-7070

Publisher:

Springer-Verlag

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

16 Jan 2020 10:32

Last Modified:

11 Mar 2021 15:25

Publisher DOI:

10.1007/s00259-019-04306-7

PubMed ID:

30919055

Uncontrolled Keywords:

18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging Oesophageal cancer Radiomic analysis

BORIS DOI:

10.7892/boris.137269

URI:

https://boris.unibe.ch/id/eprint/137269

Actions (login required)

Edit item Edit item
Provide Feedback