计算弥散加权成像在乳腺癌诊断中的应用

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Abstract Objective: To quantitatively compare the signal-to-noise (SNR) and the contrast-to-noise ratio (CNR) between series computed diffusion-weighted images (cDWI) and directly measured diffusion-weighted images (mDWI) with b value of 1 000 s/mm2 in patients with breast cancer using 3.0T MRI, and to obtain optimized b value cDWI images with diagnostic quality. Methods: Twenty-four patients with breast cancer (female, age ranged 25-63 years) received DWI examinations at 3.0T (b values of 0, 1 000 s/mm2) to create cDWI images at arbitrary b values of 1 000, 1 500, 2 000, 2 500, 3 000, 3 500, 4 000 s/mm2 under MATLAB 2015b environment. Regions of interest (ROI) were drawn on tumor-suspicious lesions and normal-appearing regions. Results: The CNR between tumor and normal regions in cDWI showed a continuously improvement with increasing b value (H=62.779, P<0.05), but the SNR was progressively decreased (H=134.985, P<0.05). cDWI1 000 and mDWI1 000 showed a similar CNR (t=0.096, P>0.05), but SNR of cDWI1 000 was higher than that of mDWI1 000 (t= 2.868, P<0.05). SNR of the remaining b value cDWI were lower than mDWI1 000 (t=-7.766, -11.377, -12.259, -12.737, -12.869, -12.896, all P<0.01). CNR of b value range (b=1 500, 2 000, 2 500, 3 000 s/mm2) cDWI were higher than those of mDWI1 000 (t=3.138, 3.263, 2.855, 2.243, P<0.05), but the difference of CNR between higher b value cDWI and mDWI1 000 was not significant (t=2.066, 1.839, P>0.05). Conclusion: The high b-value cDWI images contributes to visualize the breast cancer, and the optimal b value cDWI for breast cancer detection is in the range of 1 500-2 000 s/mm2.

Key words： breast neoplasms magnetic resonance imaging compute diffusion-weighted imaging

Received: 07 October 2016

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	Xu Huazhi
	Zhou Jiejie
	Yuan Xiangzhi
	Ye Xiaohe
	YE Qiong
	LI Jiance

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https://xb.wmu.edu.cn/EN/ OR https://xb.wmu.edu.cn/EN/Y2017/V47/I7/485

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