Digital Subtraction of Magnetic Resonance Images Improves Detection and Characterization of Pancreatic Neuroendocrine Neoplasms

J Comput Assist Tomogr. 2017 Jul/Aug;41(4):614-618. doi: 10.1097/RCT.0000000000000552.

Abstract

Objective: The aim of this study was to evaluate the usefulness of digital image subtraction of contrast-enhanced magnetic resonance (MR) images for detection and characterization of pancreatic neuroendocrine neoplasms (PanNENs).

Methods: Magnetic resonance examinations of 50 histologically verified PanNENs were retrospectively evaluated by 2 radiologists; 50 ductal adenocarcinomas were included as a control group. Late arterial phase images and correspondent subtracted images were analyzed. Tumor detectability on a subjective 3-point scale and contrast-to-noise ratios were compared across sequences using paired Student t tests. Tumor signal intensity was compared between sequences using χ or Fisher exact tests.

Results: Subjective conspicuity and contrast-to-noise ratios of PanNENs were significantly higher on subtracted images compared with correspondent late arterial phase images (P < 0.001 and P = 0.002). The rate of clearly hyperenhancing PanNENs was higher on subtracted images compared with arterial phase images (76% vs 36%).

Conclusions: Digital image subtraction improves tumor conspicuity and allows better characterization of PanNENs compared with late arterial phase images.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Angiography, Digital Subtraction / methods*
  • Carcinoma, Neuroendocrine / diagnostic imaging*
  • Female
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Pancreas / diagnostic imaging
  • Pancreatic Neoplasms / diagnostic imaging*
  • Retrospective Studies
  • Sensitivity and Specificity
  • Young Adult