BACKGROUND: The preferred management for women with stage II or locally advanced breast cancer (LABC) is neoadjuvant chemotherapy. Pathologic response to chemotherapy has been shown to be an excellent predictor of outcome. Surrogates that can predict pathologic response and outcome will fuel future changes in management. Magnetic resonance imaging (MRI) demonstrates that patients with LABC have distinct tumor patterns. We investigated whether or not these patterns predict response to therapy. METHODS: Thirty-three women who received neoadjuvant doxorubicin and cyclophosphamide chemotherapy for 4 cycles and serial breast MRI scans before and after therapy were evaluated for this study. Response to therapy was measured by change in the longest diameter on the MRI. RESULTS: Five distinct imaging patterns were identified: circumscribed mass, nodular tissue infiltration diffuse tissue infiltration, patchy enhancement, and septal spread. The likelihood of a partial or complete response as measured by change in longest diameter was 77%, 37.5%, 20%, and 25%, respectively. CONCLUSIONS: MRI affords three-dimensional characterization of tumors and has revealed distinct patterns of tumor presentation that predict response. A multisite trial is being planned to combine imaging and genetic information in an effort to better understand and predict response and, ultimately, to tailor therapy and direct the use of novel agents.
BACKGROUND: The preferred management for women with stage II or locally advanced breast cancer (LABC) is neoadjuvant chemotherapy. Pathologic response to chemotherapy has been shown to be an excellent predictor of outcome. Surrogates that can predict pathologic response and outcome will fuel future changes in management. Magnetic resonance imaging (MRI) demonstrates that patients with LABC have distinct tumor patterns. We investigated whether or not these patterns predict response to therapy. METHODS: Thirty-three women who received neoadjuvant doxorubicin and cyclophosphamide chemotherapy for 4 cycles and serial breast MRI scans before and after therapy were evaluated for this study. Response to therapy was measured by change in the longest diameter on the MRI. RESULTS: Five distinct imaging patterns were identified: circumscribed mass, nodular tissue infiltration diffuse tissue infiltration, patchy enhancement, and septal spread. The likelihood of a partial or complete response as measured by change in longest diameter was 77%, 37.5%, 20%, and 25%, respectively. CONCLUSIONS: MRI affords three-dimensional characterization of tumors and has revealed distinct patterns of tumor presentation that predict response. A multisite trial is being planned to combine imaging and genetic information in an effort to better understand and predict response and, ultimately, to tailor therapy and direct the use of novel agents.
Authors: Shigeto Ueda; Darren Roblyer; Albert Cerussi; Amanda Durkin; Anais Leproux; Ylenia Santoro; Shanshan Xu; Thomas D O'Sullivan; David Hsiang; Rita Mehta; John Butler; Bruce J Tromberg Journal: Cancer Res Date: 2012-07-09 Impact factor: 12.701
Authors: Albert E Cerussi; Vaya W Tanamai; David Hsiang; John Butler; Rita S Mehta; Bruce J Tromberg Journal: Philos Trans A Math Phys Eng Sci Date: 2011-11-28 Impact factor: 4.226
Authors: Paul M Meaney; Amir H Golnabi; Neil R Epstein; Shireen D Geimer; Margaret W Fanning; John B Weaver; Keith D Paulsen Journal: Med Phys Date: 2013-10 Impact factor: 4.071
Authors: Lisa K Dunnwald; Julie R Gralow; Georgiana K Ellis; Robert B Livingston; Hannah M Linden; Jennifer M Specht; Robert K Doot; Thomas J Lawton; William E Barlow; Brenda F Kurland; Erin K Schubert; David A Mankoff Journal: J Clin Oncol Date: 2008-07-14 Impact factor: 44.544