This study was conducted at the Center for Functional Onco-Imaging, Univ. of California Irvine.
Impact of factors affecting the residual tumor size diagnosed by MRI following neoadjuvant chemotherapy in comparison to pathology
Article first published online: 28 OCT 2013
© 2013 Wiley Periodicals, Inc.
Journal of Surgical Oncology
Volume 109, Issue 2, pages 158–167, February 1, 2014
How to Cite
Chen, J.-H., Bahri, S., Mehta, R. S., Carpenter, P. M., McLaren, C. E., Chen, W.-P., Fwu, P. T., Hsiang, D. J. B., Lane, K. T., Butler, J. A. and Su, M.-Y. (2014), Impact of factors affecting the residual tumor size diagnosed by MRI following neoadjuvant chemotherapy in comparison to pathology. J. Surg. Oncol., 109: 158–167. doi: 10.1002/jso.23470
- Issue published online: 21 JAN 2014
- Article first published online: 28 OCT 2013
- Manuscript Accepted: 26 SEP 2013
- Manuscript Received: 26 JUN 2013
- NIH/NCI R01. Grant Number: CA127927
- California Breast Cancer Research Program. Grant Number: 16GB-0056
- breast cancer;
- residual tumor size;
- neoadjuvant chemotherapy;
Background and Objectives
To investigate accuracy of magnetic resonance imaging (MRI) for measuring residual tumor size in breast cancer patients receiving neoadjuvant chemotherapy (NAC).
Ninety-eight patients were studied. Several MRI were performed during NAC for response monitoring, and the residual tumor size was measured on last MRI after completing NAC. Covariates, including age, tumor characteristics, biomarkers, NAC regimens, MRI scanners, and time from last MRI to operation, were analyzed. Univariate and Multivariate linear regression models were used to determine the predictive value of these covariates for MRI-pathology size discrepancy as the outcome measure.
The mean (±SD) of the absolute difference between MRI and pathological residual tumor size was 1.0 ± 2.0 cm (range, 0–14 cm). Univariate regression analysis showed tumor type, morphology, HR status, HER2 status, and MRI scanner (1.5 T or 3.0 T) were significantly associated with MRI-pathology size discrepancy (all P < 0.05). Multivariate regression analyses demonstrated that only tumor type, tumor morphology, and biomarker status considering both HR and HER-2 were independent predictors (P = 0.0014, 0.0032, and 0.0286, respectively).
The accuracy of MRI in evaluating residual tumor size depends on tumor type, morphology, and biomarker status. The information may be considered in surgical planning for NAC patients. J. Surg. Oncol. 2014 109:158–167. © 2013 Wiley Periodicals, Inc.