Open Access Green as soon as Postprint is submitted to ZB.
Qualitative and quantitative comparison of respiratory triggered reduced field-of-view (FOV) versus full FOV diffusion weighted imaging (DWI) in pancreatic pathologies.
Acad. Radiol. 28, 1, S234-S243 (2021)
RATIONALE AND OBJECTIVES: To investigate the effects of a reduced field-of-view (rFOV) acquisition in diffusion-weighted magnetic resonance imaging of the pancreas. MATERIALS AND METHODS: We enrolled 153 patients who underwent routine clinical MRI work-up including respiratory-triggered diffusion-weighted single-shot echo-planar imaging (DWI) with full field-of-view (fFOV, 3 × 3 × 4 mm3 voxel size) and reduced field-of-view (rFOV, 2.5 × 2.5 × 3 mm3 voxel size) for suspected pancreatic pathology. Two experienced radiologists were asked to subjectively rate (Likert Scale 1-4) image quality (overall image quality, lesion conspicuity, anatomical detail, artifacts). In addition, quantitative image parameters were assessed (apparent diffusion coefficient, apparent signal to noise ratio, apparent contrast to noise ratio [CNR]). RESULTS: All subjective metrics of image quality were rated in favor of rFOV DWI images compared to fFOV DWI images with substantial-to-high inter-rater reliability. Calculated ADC values of normal pancreas, pancreatic pathologies and reference tissues revealed no differences between both sequences. Whereas the apparent signal to noise ratio was higher in fFOV images, apparent CNR was higher in rFOV images. CONCLUSION: rFOV DWI provides higher image quality and apparent CNR values, favorable in the analysis of pancreatic pathologies.
Impact Factor
Scopus SNIP
Altmetric
3.173
1.214
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Diffusion Weighted Imaging ; Magnetic Resonance Imaging ; Pancreas ; Reduced Field-of-view
Language
english
Publication Year
2021
HGF-reported in Year
2021
ISSN (print) / ISBN
1076-6332
e-ISSN
1878-4046
Journal
Academic radiology
Quellenangaben
Volume: 28 ,
Pages: S234-S243,
Supplement: 1
Publishing Place
Reston, VA
Reviewing status
Peer reviewed
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-530014-001
PubMed ID
33390324
Erfassungsdatum
2022-09-13