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Article

Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and 18F-FDG Uptake

1
Department of Radiology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy
2
Department of Radiology, Ospedale Civile Maggiore, AOUI Verona, 37134 Verona, Italy
3
Department of Oncology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy
4
Department of Pathology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy
5
Department of Surgery, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(6), 1486; https://doi.org/10.3390/cancers12061486
Received: 25 April 2020 / Revised: 30 May 2020 / Accepted: 3 June 2020 / Published: 7 June 2020
(This article belongs to the Special Issue Advances in Neuroendocrine Neoplasms Research)
Pancreatic neuroendocrine tumors (p-NETs) are a rare group of neoplasms that often present with liver metastases. Histological characteristics, metabolic behavior, and liver tumor burden (LTB) are important prognostic factors. In this study, the usefulness of texture analysis of liver metastases in evaluating the biological aggressiveness of p-NETs was assessed. Fifty-six patients with liver metastases from p-NET were retrospectively enrolled. Qualitative and quantitative CT features of LTB were evaluated. Histogram-derived parameters of liver metastases were calculated and correlated with the tumor grade (G) and 18F-fluorodeoxyglucose (18F-FDG) standardized uptake value (SUV). Arterial relative enhancement was inversely related with G (−0.37, p = 0.006). Different metastatic spread patterns of LTB were not associated with histological grade. Arterialentropy was significantly correlated to G (−0.368, p = 0.038) and to Ki67 percentage (−0.421, p = 0.018). The ROC curve for the Arterialentropy reported an area under the curve (AUC) of 0.736 (95% confidence interval 0.545–0.928, p = 0.035) in the identification of G1–2 tumors. Arterialuniformity values were correlated to G (0.346, p = 0.005) and Ki67 levels (0.383, p = 0.033). Arterialentropy values were directly correlated with the SUV (0.449, p = 0.047) which was inversely correlated with Arterialuniformity (−0.499, p = 0.025). Skewness and kurtosis reported no significant correlations. In conclusion, histogram-derived parameters may predict adverse histological features and metabolic behavior of p-NET liver metastases. View Full-Text
Keywords: pancreas; neuroendocrine tumors; computed tomography; texture analysis; tumor burden; grading pancreas; neuroendocrine tumors; computed tomography; texture analysis; tumor burden; grading
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MDPI and ACS Style

Beleù, A.; Rizzo, G.; De Robertis, R.; Drudi, A.; Aluffi, G.; Longo, C.; Sarno, A.; Cingarlini, S.; Capelli, P.; Landoni, L.; Scarpa, A.; Bassi, C.; D’Onofrio, M. Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and 18F-FDG Uptake. Cancers 2020, 12, 1486. https://doi.org/10.3390/cancers12061486

AMA Style

Beleù A, Rizzo G, De Robertis R, Drudi A, Aluffi G, Longo C, Sarno A, Cingarlini S, Capelli P, Landoni L, Scarpa A, Bassi C, D’Onofrio M. Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and 18F-FDG Uptake. Cancers. 2020; 12(6):1486. https://doi.org/10.3390/cancers12061486

Chicago/Turabian Style

Beleù, Alessandro; Rizzo, Giulio; De Robertis, Riccardo; Drudi, Alessandro; Aluffi, Gregorio; Longo, Chiara; Sarno, Alessandro; Cingarlini, Sara; Capelli, Paola; Landoni, Luca; Scarpa, Aldo; Bassi, Claudio; D’Onofrio, Mirko. 2020. "Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and 18F-FDG Uptake" Cancers 12, no. 6: 1486. https://doi.org/10.3390/cancers12061486

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