Guan Yue, Shi Hua, Chen Ying, Liu Song, Li Weifeng, Jiang Zhuoran, Wang Huanhuan, He Jian, Zhou Zhengyang, Ge Yun
From the *School of Electronic Science and Engineering, Nanjing University; and †Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
J Comput Assist Tomogr. 2016 Mar-Apr;40(2):212-7. doi: 10.1097/RCT.0000000000000349.
The aim of this study was to explore the application of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) values of cervical cancer.
A total of 54 women (mean age, 53 years) with cervical cancers underwent 3-T diffusion-weighted imaging with b values of 0 and 800 s/mm prospectively. Whole-lesion histogram analysis of ADC values was performed. Paired sample t test was used to compare differences in ADC histogram parameters between cervical cancers and normal cervical tissues. Receiver operating characteristic curves were constructed to identify the optimal threshold of each parameter.
All histogram parameters in this study including ADCmean, ADCmin, ADC10%-ADC90%, mode, skewness, and kurtosis of cervical cancers were significantly lower than those of normal cervical tissues (all P < 0.0001). ADC90% had the largest area under receiver operating characteristic curve of 0.996.
Whole-lesion histogram analysis of ADC maps is useful in the assessment of cervical cancer.
本研究旨在探讨宫颈癌表观扩散系数（ADC）值的全病灶直方图分析的应用。
共有54例（平均年龄53岁）宫颈癌女性前瞻性地接受了b值为0和800 s/mm²的3-T扩散加权成像。对ADC值进行全病灶直方图分析。采用配对样本t检验比较宫颈癌与正常宫颈组织之间ADC直方图参数的差异。构建受试者操作特征曲线以确定各参数的最佳阈值。
本研究中宫颈癌的所有直方图参数，包括ADC均值、ADC最小值、ADC 10% - ADC 90%、众数、偏度和峰度，均显著低于正常宫颈组织（所有P < 0.0001）。ADC 90%在受试者操作特征曲线下的面积最大，为0.996。
ADC图的全病灶直方图分析在宫颈癌评估中具有重要作用。
