Jiang Ruisheng, Ma Zhijun, Dong Haixia, Sun Shihang, Zeng Xiangmin, Li Xiao
1 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Weifang, China.
2 Medical Imaging Center, Linyi People's Hospital, Linyi, China.
Br J Radiol. 2016 Aug;89(1064):20160076. doi: 10.1259/bjr.20160076. Epub 2016 Jun 15.
To investigate the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) measured by diffusion tensor imaging (DTI), tissue cellularity and their relationship in breast malignant/benign lesions.
88 patients with 88 breast lesions who underwent DTI and dynamic contrast-enhanced MR scanning between November 2013 and December 2014 were retrospectively analyzed. The diagnosis was confirmed pathologically. ADC and FA values as well as histopathological cellularity of different pathological types of lesions were analyzed and compared statistically. The Pearson's correlation between cellularity and ADC and FA was calculated.
There were 59 cases of breast cancer and 29 cases of benign lesions included in the study. ADC values of breast cancers were statistically lower than that of benign lesions (p < 0.001). FA and cellularity were higher in cancers than in benign lesions with statistical significance (p < 0.05 and p < 0.001, respectively). The mean FA values in the patients with invasive ductal carcinoma (IDC) were higher than that in the patients with ductal carcinoma in situ (DCIS) without statistical difference (p > 0.05). The ADC and the cellularity in the IDC of grade III were statistically lower (p < 0.05) and higher (p < 0.05) than that in the DCIS and IDC of grade I-II, respectively. ADC was negatively correlated to cellularity (r = -0.8319, p < 0.001) and FA was positively correlated to cellularity (r = 0.4231, p < 0.001).
ADC and FA values were statistically different between benign and malignant breast lesions and were significantly correlated to tissue cellularity. ADC and FA may help to discriminate malignant from benign breast lesions and to predict cellularity. ADC is helpful in the prediction of the grade of breast cancer.
ADC and FA values were statistically different between benign and malignant breast lesions and were significantly correlated to tissue cellularity.
通过扩散张量成像(DTI)研究乳腺良恶性病变的表观扩散系数(ADC)和各向异性分数(FA)、组织细胞密度及其相互关系。
回顾性分析2013年11月至2014年12月期间接受DTI及动态对比增强磁共振扫描的88例乳腺病变患者。病理确诊病变类型。对不同病理类型病变的ADC值、FA值及组织病理学细胞密度进行统计学分析和比较。计算细胞密度与ADC值、FA值之间的Pearson相关性。
本研究纳入59例乳腺癌和29例良性病变。乳腺癌的ADC值在统计学上低于良性病变(p<0.001)。癌症的FA值和细胞密度高于良性病变,具有统计学意义(分别为p<0.05和p<0.001)。浸润性导管癌(IDC)患者的平均FA值高于原位导管癌(DCIS)患者,但无统计学差异(p>0.05)。III级IDC的ADC值在统计学上低于I-II级DCIS和IDC(p<0.05),细胞密度则高于I-II级DCIS和IDC(p<0.05)。ADC与细胞密度呈负相关(r=-0.8319,p<0.001),FA与细胞密度呈正相关(r=0.4231,p<0.001)。
乳腺良恶性病变的ADC值和FA值在统计学上存在差异,且与组织细胞密度显著相关。ADC和FA可能有助于鉴别乳腺良恶性病变并预测细胞密度。ADC有助于预测乳腺癌分级。
乳腺良恶性病变的ADC值和FA值在统计学上存在差异,且与组织细胞密度显著相关。