Optimization of MR diffusion-weighted imaging acquisitions for pancreatic cancer at 3.0T

Xiuzhong Yao; Tiantao Kuang; Li Wu; Hao Feng; Hao Liu; Weizhong Cheng; Shengxiang Rao; He Wang; Mengsu Zeng

doi:10.1016/j.mri.2014.04.011

Optimization of MR diffusion-weighted imaging acquisitions for pancreatic cancer at 3.0T

Magn Reson Imaging. 2014 Sep;32(7):875-9. doi: 10.1016/j.mri.2014.04.011. Epub 2014 Apr 24.

Authors

Xiuzhong Yao¹, Tiantao Kuang², Li Wu³, Hao Feng⁴, Hao Liu⁵, Weizhong Cheng⁶, Shengxiang Rao⁷, He Wang⁸, Mengsu Zeng⁹

Affiliations

¹ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: yao.xiuzhong@zs-hospital.sh.cn.
² Department of General Surgery, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: kuang.tiantao@zs-hospital.sh.cn.
³ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: ningmeng7906@yahoo.com.cn.
⁴ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: fenghao11@hotmail.com.
⁵ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: liu.hao@zs-hospital.sh.cn.
⁶ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: cheng.weizhong@zs-hospital.sh.cn.
⁷ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: rao.shengxiang@zs-hospital.sh.cn.
⁸ Global Applied Science Laboratory of GE Healthcare, No. 1, Huatuo Road, Zhangjiang Hi-tech Park, Pudong District, Shanghai 201203, China. Electronic address: herry258@hotmail.com.
⁹ Department of Radiology, Zhongshan Hospital of Fudan University, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China; Department of Medical Image, Shanghai Medical College of Fudan University, Shanghai Institute of Medical Imaging, No. 138, Fenglin Road, Xuhui District, Shanghai 200032, China. Electronic address: zengmengsu@gmail.com.

PMID: 24848293
DOI: 10.1016/j.mri.2014.04.011

Abstract

Objectives: To investigate and optimize diffusion-weighted imaging (DWI) acquisitions for pancreatic cancer at 3.0T.

Methods: Forty-five patients with pancreatic cancer were examined by four DWI acquisitions with b values=0 and 600s/mm(2) at 3.0T, including breath-holding DWI (BH-DWI), respiratory-triggered DWI (TRIG-DWI), respiratory-triggered DWI with inversion-recovery technique (TRIGIR-DWI), and free-breathing DWI with inversion-recovery technique (FBIR-DWI). Artifacts, contrast ratio (CR), contrast-to-noise ratio (CNR) and apparent diffusion coefficient (ADC) of pancreatic cancer were statistically compared among DWI acquisitions.

Results: TRIGIR-DWI displayed the lowest artifacts and highest CR compared to other DWI acquisitions. CNRs of pancreatic cancer in TRIG-DWI and TRIGIR-DWI were statistically higher than that in FBIR-DWI and BH-DWI. Different ADCs between pancreatic cancer and noncancerous pancreatic tissues were noticed by a paired-samples T test in TRIG-DWI (p=0.017), TRIGIR-DWI (p=0.00001) and FBIR-DWI (p=0.000041).

Conclusions: TRIGIR-DWI may be the optimal acquisition of DWI for pancreatic cancer at 3.0T.

Keywords: 3.0T; Diffusion-weighted imaging; Magnetic resonance imaging; Pancreatic cancer.

Publication types

Comparative Study
Research Support, Non-U.S. Gov't

MeSH terms

Adult
Aged
Algorithms*
Artifacts*
Diffusion Magnetic Resonance Imaging / methods*
Female
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Male
Middle Aged
Pancreatic Neoplasms / pathology*
Reproducibility of Results
Respiratory-Gated Imaging Techniques / methods*
Sensitivity and Specificity