Accuracy of MRI for predicting shrinkage modes of primary breast tumor following neoadjuvant chemotherapy with three-dimensional reconstruction technique
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Accuracy of MRI for predicting shrinkage modes of primary breast tumor following neoadjuvant chemotherapy with three-dimensional reconstruction technique
China OncologyVol. 26, Issue 2, Pages: 168-176(2016)
杨 涛, 刘雁冰, 张朝蓬. Accuracy of MRI for predicting shrinkage modes of primary breast tumor following neoadjuvant chemotherapy with three-dimensional reconstruction technique[J]. China Oncology, 2016, 26(2): 168-176.
杨 涛, 刘雁冰, 张朝蓬. Accuracy of MRI for predicting shrinkage modes of primary breast tumor following neoadjuvant chemotherapy with three-dimensional reconstruction technique[J]. China Oncology, 2016, 26(2): 168-176. DOI: 10.3969/j.issn.1007-3969.2016.02.009.
Accuracy of MRI for predicting shrinkage modes of primary breast tumor following neoadjuvant chemotherapy with three-dimensional reconstruction technique
Background and purpose: The most clearly recognized benefit of neoadjuvant chemotherapy (NAC) is that it can increase the proportion of patients who can be treated with breast-conserving therapy (BCT). However
the shrinkage modes of the primary breast tumor after NAC have been confirmed as a predictor of BCT rate and prognosis. This study is to evaluate the accuracy of MRI predicting the shrinkage mode of the primary breast tumor after NAC with three-dimensional reconstruction technique. Methods: Sixty-one women with pathologically proven solitary invasive ductal carcinoma (ⅡA-ⅢC) were recruited. Breast specimens were prepared with PMSS
and residual tumors were microscopically outlined
scanned and registered by PHOTOSHOP software. The 3D model of residual tumors was reconstructed with 3D-DOCTOR software based on pathology and MRI imaging characteristics to evaluate the shrinkage mode. We devided the pathological shrinkage modes into surgical pCR (no residual tumors)
solitary lesions without surrounding lesions
multinodular lesions
solitary lesions with adjacent spotty lesions and diffuse lesions. Further
the clinical-pathological shrinkage modes were divided into 2 categories: distinct shrinkage mode (DSM
the longest diameter of the pathological residual tumors was less than 50% and ≤2 cm in comparison with the primary tumor before NAC) and non-distinct shrinkage mode (NDSM
the longest diameter of the pathological residual tumors was more than 50% and/or 2 cm in comparison with the primary tumor before NAC). Results: The surgical pCR
solitary lesions without surrounding lesions
multinodular lesions
solitary lesions with adjacent spotty lesions and diffuse lesions were observed in 23
17
5
9
7 and 18
3
13
20
7 patients by MRI and pathology
respectively (P=0.001). The accuracy
sensitivity and specificity of MRI for predicting pathological shrinkage modes were 86.2%
65.6% and 91.4%
respectively. The DSM was observed in 36 (59.0%) patients by pathology
and 38 (62.3%) patients by MRI. Two methods had a high consistency in clinical-pathological shrinkage modes (κ=0.863
P=0.000). The accuracy
sensitivity and specificity of MRI for predicting clinical-pathological shrinkage modes were 91.0%
64.0% and 94.8%
respectively. There was not a statistic difference in prediction between DSM and NDSM by MRI (P0.05). Receiver operating characteristic (ROC) curve analysis showed an AUC of 0.928 (P=0.000) for MRI to predict the clinical-pathological shrinkage mode. Conclusion: Three-dimensional MRI reconstruction after NAC could simulate and predict spatial location of residual tumors
and can be helpful in selecting patients who received BCT after NAC with tumor downstaging.