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Apparent Diffusion Coefficient Values for Neuroendocrine Liver Metastases.

Mehmet Ali Gultekin1, Hacı Mehmet Turk2, Ismail Yurtsever1

  • 1Department of Radiology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey.

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|November 11, 2020
PubMed
Summary
This summary is machine-generated.

Lower apparent diffusion coefficient (ADC) and ADCmean values in liver metastases indicate gastroenteropancreatic neuroendocrine tumors (GEP-NETs) over adenocarcinomas. These ADC values can help differentiate between GEP-NET and adenocarcinoma liver metastases.

Keywords:
AdenocarcinomaDiffusion MRINeuroendocrine tumormetastasis

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Area of Science:

  • Radiology and Medical Imaging
  • Oncology
  • Gastroenterology

Background:

  • Liver metastases present a diagnostic challenge, with differentiation between tumor types crucial for treatment planning.
  • Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and adenocarcinomas are common primary malignancies with distinct metastatic patterns and prognoses.
  • Apparent diffusion coefficient (ADC) values derived from diffusion-weighted magnetic resonance imaging (DW-MRI) offer insights into tissue microstructural properties.

Purpose of the Study:

  • To investigate differences in ADC values between liver metastases originating from GEP-NETs and adenocarcinomas.
  • To assess the utility of ADC and ADCmean values in distinguishing between these two types of liver metastases.

Main Methods:

  • A retrospective analysis included 54 patients with 167 liver metastases from gastroenteropancreatic tumors.
  • Patients were categorized into GEP-NET (7 patients, 51 lesions) and adenocarcinoma (47 patients, 116 lesions) groups.
  • Independent samples t-test and receiver-operating characteristic (ROC) analysis were employed to compare ADC and ADCmean values.

Main Results:

  • Liver metastases from GEP-NETs exhibited significantly lower ADC and ADCmean values compared to adenocarcinomas.
  • ROC analysis demonstrated significant discriminative power for both ADC (AUC=0.733) and ADCmean (AUC=0.790).
  • Calculated cut-off values for ADC and ADCmean showed varying diagnostic accuracies in differentiating the two metastatic types.

Conclusions:

  • Lower ADC and ADCmean values in liver metastases are suggestive of GEP-NETs rather than adenocarcinomas.
  • ADC and ADCmean measurements hold potential as non-invasive biomarkers for differentiating GEP-NET liver metastases from adenocarcinoma metastases.