CT texture analysis of liver metastases in PNETs versus NPNETs: Correlation with histopathological findings. Issue 124 (March 2020)

• Record Type: Journal Article
• Authors: Martini, Isabella; Polici, Michela; Zerunian, Marta; Panzuto, Francesco; Rinzivillo, Maria; Landolfi, Federica; Magi, Ludovica; Caruso, Damiano; Eid, Marwen; Annibale, Bruno; Laghi, Andrea; Iannicelli, Elsa
• Is Part Of: European journal of radiology. Issue 124(2020)
• Publication Date: 2020-03
• Subjects: Pancreatic neuroendocrine tumors -- Non pancreatic neuroendocrine tumors -- CT texture analysis -- Liver metastasis -- Prognosis; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2020.108812
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Liver metastases in PNETs are different from NPNETs according to CTTA features. Skewness of liver metastases is higher in NPNETs than in PNETs. Inverse correlation between Entropy and TTP is shown in PNETs. Correlation between Entropy and high risk of dying is shown in NPNETs. Abstract: Purpose: To compare CT and Texture features of liver metastases in Pancreatic Neuroendocrine Tumors (PNETs) and in Non-Pancreatic Neuroendocrine Tumors (NPNETs) according to tumor grading, overall survival (OS), time to progression (TTP) and Ki67 index. Methods: 23 patients with PNETs and 25 patients with NPNETs affected by liver metastases were compared. The lesions were G1 and G2 according to WHO classification of tumors. Texture parameters ( Mean, Standard Deviation, Entropy, Kurtosis, Skewness, Mean of Positive Pixel) at different spatial scale image filtration (SSF) were evaluated in both arterial and portal phase using a dedicated software for volumetric analysis. All CT images were acquired before the beginning of any medical treatment. Results: The following significant results ( P < 0.05) were found: in the arterial phase for value of Skewness between PNETs G2 and NPNETs G2; in the portal phase between PNETs versus NPNETs, PNETs G1 versus NPNETs G1, PNETs G2 versus NPNETs G2; value of Mean in portal phase in PNETs vs NPNETs. Regarding PNETs, a P < 0.05 was found in: inverse correlation between Entropy and TTP; direct correlation between Mean and OS; correlating Kurtosis and high risk of death; correlating Skewness and low risk of death. Regarding NPNETs, P < 0.05 was found in: inverse correlation between Entropy and OS; correlating Entropy and high risk of dying. Conclusions: This study shows that CT texture features are significantly different in PNETs from NPNETs. Additionally, textural features such as Entropy, Kurtosis and Skewness, were found to have significant correlation with higher mortality risk.