Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from 68Ga-DOTATOC PET/MRI

Manuel Weber1, Lukas Kessler2, Benedikt Schaarschmidt3

  • 1Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany. manuel.weber@uk-essen.de.

BMC Cancer
|April 18, 2020
PubMed
Abstract

Insights

Treatment response in neuroendocrine tumors (NETs) correlates with decreased lesion volume on apparent diffusion coefficient (ADC) maps, but not PET parameters. Pre-treatment imaging did not predict response to peptide receptor radionuclide therapy (PRRT).

Area of Science:

  • Radiology
  • Nuclear Medicine
  • Oncology

Background:

  • Neuroendocrine tumors (NETs) often overexpress somatostatin receptors (SSTRs), enabling imaging with 68Ga-DOTATOC positron-emission tomography (PET) and treatment with peptide receptor radionuclide therapy (PRRT).
  • SSTR expression can change with treatment, impacting imaging and therapy effectiveness.
  • This study investigated changes in PET and apparent diffusion coefficient (ADC) parameters during treatment and their predictive value for PRRT response.

Purpose of the Study:

  • To assess changes in 68Ga-DOTATOC-PET/MRI and ADC parameters in NET patients undergoing various treatments.
  • To determine if pre-therapeutic 68Ga-DOTATOC-PET/MRI can predict treatment response to PRRT.

Main Methods:

  • Retrospective analysis of 68Ga-DOTATOC-PET/MRI scans (including ADC maps) from NET patients with liver metastases.
  • Extracted conventional PET parameters (SUVmax, SUVmean) and ADC values, along with textural features.
  • Analyzed changes between serial scans and compared parameters between PRRT responders and non-responders.

Main Results:

  • Treatment responders showed a significant decrease in lesion volume and a borderline significant decrease in ADC map entropy compared to non-responders.
  • Patients treated with somatostatin analogues (SSAs) had a borderline significant decrease in mean and maximum ADC compared to PRRT-treated patients.
  • No pre-therapeutic PET or ADC parameters reliably predicted PRRT treatment response.

Conclusions:

  • Decreased lesion volume on ADC maps and reduced ADC map entropy are associated with treatment response in NETs.
  • PET parameters did not show significant changes related to treatment response.
  • Current imaging parameters, including pre-treatment 68Ga-DOTATOC-PET/MRI, cannot predict PRRT response, necessitating further research due to small sample size.

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