能谱CT成像在乳腺癌检出中的初步研究  

Spectral CT imaging in detecting breast cancer: a pilot study

作　　者：陈娇[1] 管彬[1] 刘永秀[1] 王晋秋[1] 郭仲杰[1] 林华[1] 

机构地区：[1]绵阳市中心医院放射科,四川绵阳621000

出　　处：《华西医学》2017年第11期1739-1743,共5页West China Medical Journal

摘　　要：目的分析能谱CT成像显示乳腺癌病灶的能力,探讨能谱CT成像在乳腺癌检出中的意义。方法回顾性分析2013年7月—2016年2月68个病理诊断为乳腺癌病灶的能谱CT各参数图像,比较各参数图像显示乳腺癌病灶的对比噪声比(contrast noise ratio,CNR)和信噪比(signal to noise ratio,SNR)以及各参数图像检出乳腺癌病灶的能力。结果在显示乳腺癌病灶时脂(水)基物质图像的CNR最佳,碘(水)基物质图像的CNR最低。70 ke V单能量、最佳单能量图像的SNR较高。脂(水)基物质图像检出病灶最多(100.0%);常规平扫检出病灶最少。结论能谱CT成像可以很好地显示乳腺癌病灶,特别是脂(水)基物质图像,在乳腺癌病灶的检出中具有潜在应用价值。Objective To analyze the ability of spectral CT imaging in displaying breast cancer lesions and explore the value of spectral CT imaging in detecting breast cancer. Methods The spectral CT images with different parameters of sixty-eight breast cancer lesions confirmed by pathology between July 2013 and February 2016 were retrospectively analyzed. The contrast noise ratio（CNR） and signal to noise ratio（SNR） as well as the ability in detecting breast cancer of the images with different parameters were compared. Results Fat-water material decomposition images showed breast cancer lesions best. Iodine-water material decomposition images had the lowest CNR. 70 ke V monochromatic images and the monochromatic of best CNR images had better SNR. Fat-water material decomposition images detected all of the breast cancer lesions. Conventional CT plain scan detected least lesions. Conclusion Spectral CT imaging, especially fat-water material decomposition images, can show breast cancer lesions well, which has the potential application for detection of breast cancer lesions.

关 键 词：体层摄影术 X线计算机 能谱成像 乳腺癌 

分 类 号：R730.44[医药卫生—肿瘤] R737.9[医药卫生—临床医学]