Optimization of MR diffusion-weighted imaging acquisitions for pancreatic cancer at 3.0T.
OBJECTIVE
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.
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.
Xiuzhong
X
Yao
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.
Tiantao
T
Kuang
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.
Li
L
Wu
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.
Hao
H
Feng
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.
Hao
H
Liu
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.
Weizhong
W
Cheng
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.
Shengxiang
S
Rao
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.
He
H
Wang
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.
Mengsu
M
Zeng
D000328:Adult; D000368:Aged; D000465:Algorithms; D016477:Artifacts; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010190:Pancreatic Neoplasms / Q000473:pathology*; D015203:Reproducibility of Results; D055425:Respiratory-Gated Imaging Techniques / Q000379:methods*; D012680:Sensitivity and Specificity
3.0T; Diffusion-weighted imaging; Magnetic resonance imaging; Pancreatic cancer