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Harder, F.N.* ; Kamal, O.* ; Kaissis, G.* ; Heid, I.* ; Lohöfer, F.K.* ; McTavish, S.* ; Van, A.T.* ; Katemann, C.* ; Peeters, J.M.* ; Karampinos, D.C.* ; Makowski, M.R.* ; Braren, R.F.*

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)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
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.
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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
Quellenangaben Volume: 28 , Issue: , Pages: S234-S243, Article Number: , 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