Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
European Radiology
Published in: European Radiology 11/2016

01-11-2016 | Magnetic Resonance

Feasibility of test-bolus DCE-MRI using CAIPIRINHA-VIBE for the evaluation of pancreatic malignancies

Authors: Jimi Huh, Yoonseok Choi, Dong-Cheol Woo, Nieun Seo, Bohyun Kim, Chang Kyung Lee, In Seong Kim, Dominik Nickel, Kyung Won Kim

Published in: European Radiology | Issue 11/2016

Login to get access

Abstract

Objectives

To evaluate the feasibility of test-bolus dynamic contrast-enhanced (DCE) MRI with CAIPIRINHA-VIBE for pancreatic malignancies.

Methods

Thirty-two patients underwent DCE-MRI with CAIPIRINHA-VIBE after injection of 2 mL gadolinium. From the resulting time–intensity curve (TIC), we estimated the arterial (AP) and portal venous phase (PVP) scan timing for subsequent multiphasic MRI. DCE-MRI perfusion maps were generated, and perfusion parameters were calculated. The image quality was rated on a 5-point scale (1: poor, 5: excellent). Goodness-of-fit of the TIC was evaluated by Pearson’s χ2 test.

Results

Test-bolus DCE-MRIs with high temporal (3 s) and spatial resolution (1 × 1 × 4 mm3) were acquired with good-quality perfusion maps of Ktrans and iAUC (mean score 4.313 ± 0.535 and 4.125 ± 0.554, respectively). The mean χ2 values for fitted TICs were 0.115 ± 0.082 for the pancreatic parenchyma and 0.784 ± 0.074 for pancreatic malignancies, indicating an acceptable goodness-of-fit. Test-bolus DCE-MRI was highly accurate in estimating the proper timing of AP (90.6 %) and PVP (100 %) of subsequent multiphasic MRI. Between pancreatic adenocarcinomas and neuroendocrine tumours, there were significant differences in the Ktrans (0.073 ± 0.058 vs. 0.308 ± 0.062, respectively; p = 0.007) and iAUC (1.501 ± 0.828 vs. 3.378 ± 0.378, respectively; p = 0.045).

Conclusions

Test-bolus DCE-MRI using CAIPIRINHA-VIBE is feasible for incorporating perfusion analysis of pancreatic tumours into routine multiphasic MRI.

Key Points

• Test-bolus DCE-MRI using CAIPIRINHA-VIBE is feasible for perfusion analysis of pancreatic tumours.
• CAIPIRINHA-VIBE enables DCE-MRI with high temporal and spatial resolution.
• Test-bolus DCE-MRI is highly accurate in estimating the proper timing of multiphasic MRI.
Literature
1.
Kim JH, Lee JM, Park JH et al (2013) Solid pancreatic lesions: characterization by using timing bolus dynamic contrast-enhanced MR imaging assessment--a preliminary study. Radiology 266:185–196CrossRefPubMed
2.
Ueno M, Niwa T, Ohkawa S et al (2009) The usefulness of perfusion-weighted magnetic resonance imaging in advanced pancreatic cancer. Pancreas 38:644–648CrossRefPubMed
3.
Akisik MF, Sandrasegaran K, Bu G, Lin C, Hutchins GD, Chiorean EG (2010) Pancreatic cancer: utility of dynamic contrast-enhanced MR imaging in assessment of antiangiogenic therapy. Radiology 256:441–449CrossRefPubMed
4.
Baxter S, Wang ZJ, Joe BN, Qayyum A, Taouli B, Yeh BM (2009) Timing bolus dynamic contrast-enhanced (DCE) MRI assessment of hepatic perfusion: Initial experience. J Magn Reson Imaging 29:1317–1322CrossRefPubMed
5.
Kim BS, Lee KR, Goh MJ (2014) New imaging strategies using a motion-resistant liver sequence in uncooperative patients. Biomed Res Int 2014:142658PubMedPubMedCentral
6.
Committee. DMT (2012) DCE MRI Quantification Profile, Quantitative Imaging Biomarkers Alliance. Version 1.0. Reviewed Draft
7.
Tofts PS, Brix G, Buckley DL et al (1999) Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10:223–232CrossRefPubMed
8.
Chefd'hotel C, Hermosillo G, Faugeras O (2002) Flows of diffeomorphisms for Multimodal Image Registration. Proceedings of the IEEE International Symposium on Biomedical Imaging, Washington DC, USA, pp 753–756
9.
Chefd'hotel C, Hermosillo G, Faugeras O (2001) A Variational Approach to Multimodal Image Matching. Proceedings of the IEEE workshop on Variational and Level Set Methods in Computer Vision, Vancouver BC, Canada, pp 21–28
10.
Kim KW, Lee JM, Jeon YS et al (2013) Free-breathing dynamic contrast-enhanced MRI of the abdomen and chest using a radial gradient echo sequence with K-space weighted image contrast (KWIC). Eur Radiol 23:1352–1360CrossRefPubMed
11.
Tokuda J, Mamata H, Gill RR et al (2011) Impact of nonrigid motion correction technique on pixel-wise pharmacokinetic analysis of free-breathing pulmonary dynamic contrast-enhanced MR imaging. J Magn Reson Imaging 33:968–973CrossRefPubMedPubMedCentral
12.
Chandarana H, Block KT, Winfeld MJ et al (2014) Free-breathing contrast-enhanced T1-weighted gradient-echo imaging with radial k-space sampling for paediatric abdominopelvic MRI. Eur Radiol 24:320–326CrossRefPubMed
13.
Fujinaga Y, Ohya A, Tokoro H et al (2014) Radial volumetric imaging breath-hold examination (VIBE) with k-space weighted image contrast (KWIC) for dynamic gadoxetic acid (Gd-EOB-DTPA)-enhanced MRI of the liver: advantages over Cartesian VIBE in the arterial phase. Eur Radiol 24:1290–1299CrossRefPubMed
14.
Reiner CS, Neville AM, Nazeer HK et al (2013) Contrast-enhanced free-breathing 3D T1-weighted gradient-echo sequence for hepatobiliary MRI in patients with breath-holding difficulties. Eur Radiol 23:3087–3093CrossRefPubMed
15.
Walker-Samuel S, Leach MO, Collins DJ (2006) Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis. Phys Med Biol 51:3593–3602CrossRefPubMed
16.
Leach MO, Brindle KM, Evelhoch JL et al (2003) Assessment of antiangiogenic and antivascular therapeutics using MRI: recommendations for appropriate methodology for clinical trials. Br J Radiol 76:S87–S91CrossRefPubMed
17.
Naish JH, Hutchinson CE, Caunce A et al (2010) Multiple-bolus dynamic contrast-enhanced MRI in the pancreas during a glucose challenge. J Magn Reson Imaging 32:622–628CrossRefPubMed
18.
Coenegrachts K, Van Steenbergen W, De Keyzer F et al (2004) Dynamic contrast-enhanced MRI of the pancreas: initial results in healthy volunteers and patients with chronic pancreatitis. J Magn Reson Imaging 20:990–997CrossRefPubMed
Metadata
Title
Feasibility of test-bolus DCE-MRI using CAIPIRINHA-VIBE for the evaluation of pancreatic malignancies
Authors
Jimi Huh
Yoonseok Choi
Dong-Cheol Woo
Nieun Seo
Bohyun Kim
Chang Kyung Lee
In Seong Kim
Dominik Nickel
Kyung Won Kim
Publication date
01-11-2016
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 11/2016
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-016-4209-6

Other articles of this Issue 11/2016

European Radiology 11/2016 Go to the issue

Computed Tomography

Gouty arthritis: the diagnostic and therapeutic impact of dual-energy CT

Oncology

Predicting EGFR mutation status in lung cancer:Proposal for a scoring model using imaging and demographic characteristics

Interventional

High-intensity focused ultrasound (HIFU) for pancreatic carcinoma: evaluation of feasibility, reduction of tumour volume and pain intensity

Interventional

Benign biliary strictures refractory to standard bilioplasty treated using polydoxanone biodegradable biliary stents: retrospective multicentric data analysis on 107 patients

Physics

Impact of the scout view orientation on the radiation exposure and image quality in thoracic and abdominal CT

Molecular Imaging

MR molecular imaging of tumours using ferritin heavy chain reporter gene expression mediated by the hTERT promoter