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Digital Subtraction of Magnetic Resonance Images Improves Detection and Characterization of Pancreatic Neuroendocrine Neoplasms
- Publication Year :
- 2017
-
Abstract
- 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).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.Subjective conspicuity and contrast-to-noise ratios of PanNENs were significantly higher on subtracted images compared with correspondent late arterial phase images (P0.001 and P = 0.002). The rate of clearly hyperenhancing PanNENs was higher on subtracted images compared with arterial phase images (76% vs 36%).Digital image subtraction improves tumor conspicuity and allows better characterization of PanNENs compared with late arterial phase images.
- Subjects :
- Adult
Male
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
Young Adult
03 medical and health sciences
Digital image
0302 clinical medicine
Nuclear magnetic resonance
pancreatic neuroendocrine neoplasms (PanNENs)
medicine
Humans
Radiology, Nuclear Medicine and imaging
Pancreas
Aged
Retrospective Studies
Aged, 80 and over
medicine.diagnostic_test
business.industry
Subtraction
Angiography, Digital Subtraction
Resonance
Magnetic resonance imaging
Middle Aged
Magnetic Resonance Imaging
Carcinoma, Neuroendocrine
Characterization (materials science)
Pancreatic Neoplasms
030220 oncology & carcinogenesis
Female
business
human activities
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....8410273ae81c62c53aa1eaae4f65b99f