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European Radiology

, Volume 28, Issue 5, pp 1891–1899 | Cite as

Feasibility of free-breathing dynamic contrast-enhanced MRI of gastric cancer using a golden-angle radial stack-of-stars VIBE sequence: comparison with the conventional contrast-enhanced breath-hold 3D VIBE sequence

  • Huan-Huan Li
  • Hui Zhu
  • Lei Yue
  • Yi Fu
  • Robert Grimm
  • Alto Stemmer
  • Cai-Xia Fu
  • Wei-jun Peng
Magnetic Resonance
  • 267 Downloads

Abstract

Objectives

To investigate the feasibility and diagnostic value of free-breathing, radial, stack-of-stars three-dimensional (3D) gradient echo (GRE) sequence (“golden angle”) on dynamic contrast-enhanced (DCE) MRI of gastric cancer.

Methods

Forty-three gastric cancer patients were divided into cooperative and uncooperative groups. Respiratory fluctuation was observed using an abdominal respiratory gating sensor. Those who breath-held for more than 15 s were placed in the cooperative group and the remainder in the uncooperative group. The 3-T MRI scanning protocol included 3D GRE and conventional breath-hold VIBE (volume-interpolated breath-hold examination) sequences, comparing images quantitatively and qualitatively. DCE-MRI parameters from VIBE images of normal gastric wall and malignant lesions were compared.

Results

For uncooperative patients, 3D GRE scored higher qualitatively, and had higher SNRs (signal-to-noise ratios) and CNRs (contrast-to-noise ratios) than conventional VIBE quantitatively. Though 3D GRE images scored lower in qualitative parameters compared with conventional VIBE for cooperative patients, it provided images with fewer artefacts. DCE parameters differed significantly between normal gastric wall and lesions, with higher Ve (extracellular volume) and lower Kep (reflux constant) in gastric cancer.

Conclusions

The free-breathing, golden-angle, radial stack-of-stars 3D GRE technique is feasible for DCE-MRI of gastric cancer. Dynamic enhanced images can be used for quantitative analysis of this malignancy.

Key Points

• Golden-angle radial stack-of-stars VIBE aids gastric cancer MRI diagnosis.

• The 3D GRE technique is suitable for patients unable to suspend respiration.

• Method scored higher in the qualitative evaluation for uncooperative patients.

• The technique produced images with fewer artefacts than conventional VIBE sequence.

• Dynamic enhanced images can be used for quantitative analysis of gastric cancer.

Keywords

Stomach neoplasms Magnetic resonance imaging DCE Golden-angle radial VIBE Stack of stars 

Abbreviations

AUC

Area under the curve

BH

Breath-hold

CNR

Contrast-to-noise ratio

CT

Computed tomography

DCE

Dynamic contrast-enhanced

FB

Free-breathing

GRE

Gradient echo

Kep

Extravascular-to-plasma volume transfer

Ktrans

Plasma-to-extravascular volume transfer

MDCT

Multiple-detector computed tomography

MRI

Magnetic resonance imaging

ROI

Region of interest

SD

Standard deviation

SI

Signal intensity

SNR

Signal-to-noise ratio

Ve

Extravascular fluid volume fraction

VIBE

Volume-interpolated breath-hold examination

Notes

Funding

This study has received funding by the innovation funds for development of science and technology in PuDong new area, Fund code: PKJ2013-Y07

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Wei-jun Peng.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all patients in this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• prospective

• performed at one institution

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Copyright information

© European Society of Radiology 2017

Authors and Affiliations

  • Huan-Huan Li
    • 1
    • 2
  • Hui Zhu
    • 1
  • Lei Yue
    • 1
  • Yi Fu
    • 1
  • Robert Grimm
    • 3
  • Alto Stemmer
    • 3
  • Cai-Xia Fu
    • 4
  • Wei-jun Peng
    • 1
  1. 1.Department of RadiologyFudan University Shanghai Cancer CenterShanghaiChina
  2. 2.Department of RadiologyShanghai Pudong New Area Gongli HospitalShanghaiChina
  3. 3.MR Applications DevelopmentSiemens HealthcareErlangenGermany
  4. 4.MR Applications DevelopmentSiemens Shenzhen Magnetic Resonance Ltd.ShenzhenChina

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