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Apparent Diffusion Coefficient Values for Neuroendocrine Liver Metastases.

Authors :
Gultekin MA
Turk HM
Yurtsever I
Cesme DH
Seker M
Besiroglu M
Alkan A
Source :
Academic radiology [Acad Radiol] 2021 Nov; Vol. 28 Suppl 1, pp. S81-S86. Date of Electronic Publication: 2020 Nov 07.
Publication Year :
2021

Abstract

Rationale and Objectives: We aimed to investigate whether there are any differences in apparent diffusion coefficient (ADC) values obtained from liver metastases due to gastroenteropancreatic neuroendocrine tumors (GEP-NET) and adenocarcinomas.<br />Materials and Methods: We included 54 patients with 167 liver metastases due to gastroenteropancreatic tumors. We divided the patients into two groups as liver metastases due to GEP-NETs (seven patients with 51 lesions, mean age: 48) and adenocarcinomas (47 patients with 116 lesions, mean age: 61.2). We used the independent samples t-test to compare the ADC and ADC <subscript>mean</subscript> values of the two groups and performed a receiver-operating characteristic analysis.<br />Results: ADC and ADC <subscript>mean</subscript> values were significantly lower in the GEP-NET group compared with the adenocarcinoma group. Receiver-operating characteristic curve analysis showed a significant difference for ADC and ADC <subscript>mean</subscript> values, and area under the curve values were 0.733 and 0.790, respectively. The cut-off values were 933x10 <superscript>-6</superscript> mm <superscript>2</superscript> /s for ADC and 801x10 <superscript>-6</superscript> mm <superscript>2</superscript> /s for ADC <subscript>mean</subscript> . Diagnostic accuracies of ADC (Sensitivity = 80.2, Specificity = 64.7, PPV = 83.8, NPV = 58.9) and ADC <subscript>mean</subscript> (Sensitivity = 63.8, Specificity = 82.4, PPV = 89.2, NPV = 50) were calculated in differentiating adenocarcinoma metastases from GEP-NET metastases.<br />Conclusion: The lower ADC and ADC <subscript>mean</subscript> values of liver metastases suggest GEP-NET rather than adenocarcinomas. ADC and ADC <subscript>mean</subscript> values obtained from liver metastases may be used to differentiate NETs from adenocarcinomas.<br /> (Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-4046
Volume :
28 Suppl 1
Database :
MEDLINE
Journal :
Academic radiology
Publication Type :
Academic Journal
Accession number :
33172816
Full Text :
https://doi.org/10.1016/j.acra.2020.10.024