Vedantham Srinivasan, O'Connell Avice M, Shi Linxi, Karellas Andrew, Huston Alissa J, Skinner Kristin A
Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA.
J Clin Imaging Sci. 2014 Nov 29;4:64. doi: 10.4103/2156-7514.145867. eCollection 2014.
In this prospective pilot study, the feasibility of non-contrast dedicated breast computed tomography (bCT) to determine primary tumor volume and monitor its changes during neoadjuvant chemotherapy (NAC) treatment was investigated.
Eleven women who underwent NAC were imaged with a clinical prototype dedicated bCT system at three time points - pre-, mid-, and post-treatment. The study radiologist marked the boundary of the primary tumor from which the tumor volume was quantified. An automated algorithm was developed to quantify the primary tumor volume for comparison with radiologist's segmentation. The correlation between pre-treatment tumor volumes from bCT and MRI, and the correlation and concordance in tumor size between post-treatment bCT and pathology were determined.
Tumor volumes from automated and radiologist's segmentations were correlated (Pearson's r = 0.935, P < 0.001) and were not different over all time points [P = 0.808, repeated measures analysis of variance (ANOVA)]. Pre-treatment tumor volumes from MRI and bCT were correlated (r = 0.905, P < 0.001). Tumor size from post-treatment bCT was correlated with pathology (r = 0.987, P = 0.002) for invasive ductal carcinoma larger than 5 mm and the maximum difference in tumor size was 0.57 cm. The presence of biopsy clip (3 mm) limited the ability to accurately measure tumors smaller than 5 mm. All study participants were pathologically assessed to be responders, with three subjects experiencing complete pathologic response for invasive cancer and the reminder experiencing partial response. Compared to pre-treatment tumor volume, there was a statistically significant (P = 0.0003, paired t-test) reduction in tumor volume at mid-treatment observed with bCT, with an average tumor volume reduction of 47%.
This pilot study suggests that dedicated non-contrast bCT has the potential to serve as an expedient imaging tool for monitoring tumor volume changes during NAC. Larger studies are needed in future.
在这项前瞻性试点研究中,探讨了非增强专用乳腺计算机断层扫描(bCT)用于确定原发性肿瘤体积并监测其在新辅助化疗(NAC)治疗期间变化的可行性。
11名接受NAC治疗的女性在治疗前、治疗中期和治疗后三个时间点使用临床原型专用bCT系统进行成像。研究放射科医生标记原发性肿瘤的边界,据此对肿瘤体积进行量化。开发了一种自动算法来量化原发性肿瘤体积,以便与放射科医生的分割结果进行比较。确定了bCT和MRI治疗前肿瘤体积之间的相关性,以及治疗后bCT与病理学之间肿瘤大小的相关性和一致性。
自动分割和放射科医生分割得到的肿瘤体积具有相关性(Pearson相关系数r = 0.935,P < 0.001),并且在所有时间点上无差异[P = 0.808,重复测量方差分析(ANOVA)]。MRI和bCT治疗前的肿瘤体积具有相关性(r = 0.905,P < 0.001)。对于大于5 mm的浸润性导管癌,治疗后bCT的肿瘤大小与病理学具有相关性(r = 0.987,P = 0.002),肿瘤大小的最大差异为0.57 cm。活检夹(3 mm)的存在限制了准确测量小于5 mm肿瘤的能力。所有研究参与者经病理评估均为反应者,3名受试者对浸润性癌出现完全病理缓解,其余受试者出现部分缓解。与治疗前肿瘤体积相比,bCT观察到治疗中期肿瘤体积有统计学意义的减小(P = 0.0003,配对t检验),平均肿瘤体积减小47%。
这项试点研究表明,专用非增强bCT有潜力作为一种便捷的成像工具,用于监测NAC治疗期间的肿瘤体积变化。未来需要开展更大规模的研究。