Cheng Lin, Zhang Jianping, Wang Yujie, Xu Xiaoli, Zhang Yongping, Zhang Yingjian, Liu Guangyu, Cheng Jingyi
Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Shanghai, 201321, China.
Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Ann Nucl Med. 2017 Aug;31(7):544-552. doi: 10.1007/s12149-017-1184-1. Epub 2017 Jun 23.
This study was designed to evaluate the utility of textural features for predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC).
Sixty-one consecutive patients with locally advanced breast cancer underwent F-FDG PET/CT scanning at baseline and after the second course of NAC. Changes to imaging parameters [maximum standardized uptake value (SUV), metabolic tumor volume (MTV), total lesion glycolysis (TLG)] and textural features (entropy, coarseness, skewness) between the 2 scans were measured by two independent radiologists. Pathological responses were reviewed by one pathologist, and the significance of the predictive value of each parameter was analyzed using a Chi-squared test. Receiver operating characteristic curve analysis was used to compare the area under the curve (AUC) for each parameter.
pCR was observed more often in patients with HER2-positive tumors (22 patients) than in patients with HER2-negative tumors (5 patients) (71.0 vs. 16.7%, p < 0.001). ∆ %SUV, ∆ %entropy and ∆ %coarseness were significantly useful for differentiating pCR from non-pCR in the HER2-negative group, and the AUCs for these parameters were 0.928, 0.808 and 0.800, respectively (p = 0.003, 0.032 and 0.037). In the HER2-positive group, ∆ %SUV and ∆ %skewness were moderately useful for predicting pCR, and the respective AUCs were 0.747 and 0.758 (p = 0.033 and 0.026). Although there was no significant difference in the AUCs between groups for these parameters, an additional 3/22 patients in the HER2-positive group with pCR were identified when ∆ %skewness and ∆ %SUV were considered together (p = 0.031). The absolute values for each parameter before NAC and after 2 cycles cannot predict pCR in our patients. Neither ∆ %MTV nor ∆ %TLG was efficiently predictive of pCR in any group.
The early changes in the textural features of F-FDG PET images after two cycles of NAC are predictive of pCR in both HER2-negative and HER2-positive patients; this evidence warrants confirmation by further research.
本研究旨在评估纹理特征在预测新辅助化疗(NAC)后病理完全缓解(pCR)方面的效用。
61例连续的局部晚期乳腺癌患者在基线时和NAC第二疗程后接受了F-FDG PET/CT扫描。两名独立的放射科医生测量了两次扫描之间成像参数[最大标准化摄取值(SUV)、代谢肿瘤体积(MTV)、总病变糖酵解(TLG)]和纹理特征(熵、粗糙度、偏度)的变化。由一名病理学家评估病理反应,并使用卡方检验分析每个参数预测价值的显著性。采用受试者工作特征曲线分析来比较每个参数的曲线下面积(AUC)。
HER2阳性肿瘤患者(22例)中观察到pCR的情况比HER2阴性肿瘤患者(5例)更常见(71.0%对16.7%,p<0.001)。在HER2阴性组中,∆%SUV、∆%熵和∆%粗糙度对于区分pCR和非pCR显著有用,这些参数的AUC分别为0.928、0.808和0.800(p = 0.003、0.032和0.037)。在HER2阳性组中,∆%SUV和∆%偏度对于预测pCR有一定作用,各自的AUC分别为0.747和0.758(p = 0.033和0.026)。虽然这些参数在两组之间的AUC没有显著差异,但当同时考虑∆%偏度和∆%SUV时,HER2阳性组中有另外3/22例pCR患者被识别出来(p = 0.031)。NAC前和2个周期后每个参数的绝对值均不能预测我们患者的pCR。在任何组中,∆%MTV和∆%TLG均不能有效预测pCR。
NAC两个周期后F-FDG PET图像纹理特征的早期变化可预测HER2阴性和HER2阳性患者的pCR;这一证据有待进一步研究证实。