4.7 Article

Early Changes in Functional Dynamic Magnetic Resonance Imaging Predict for Pathologic Response to Neoadjuvant Chemotherapy in Primary Breast Cancer

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CLINICAL CANCER RESEARCH
卷 14, 期 20, 页码 6580-6589

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-07-4310

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  1. Childwick Trust
  2. Breast Cancer Research Trust

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Purpose: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows non-invasive, in vivo measurements of tissue microvessel perfusion and permeability. We examined whether DCE-MRI done after two cycles of neoadjuvant chemotherapy could predict final clinical and pathologic response in primary breast cancers. Experimental Design: Thirty-seven patients with primary breast cancer, due to receive six cycles of neoadjuvant 5-fluorouracil, epirubicin and cyclophosphamide chemotherapy, were examined using DCE-MRI before neoadjuvant chemotherapy and after two cycles of treatment. Changes in DCE-MRI kinetic parameters (K-trans, k(ep), v(e), MaxGd, rBV, rBF, MTT) were correlated with the final clinical and pathologic response to neoadjuvant chemotherapy. Test-retest variability was used to determine individual patient response. Results: Twenty-eight patients were evaluable for response (19 clinical responders and 9 non-responders; 11 pathologic responders and 17 nonresponders). Changes in the DCE-MRI kinetic parameters K-trans, k(ep), MaxGd, rBV, and rBF were significantly correlated with both final clinical and pathologic response (P < 0,01). Change in K-trans was the best predictor of pathologic nonresponse (area under the receiver operating characteristic curve, 0.93; sensitivity, 94%; specificity, 82%), correctly identifying 94% of nonresponders and 73% of responders. Change in MRI-derived tumor size did not predict for pathologic response. Conclusion: Changes in breast tumor microvessel functionality as depicted by DCE-MRI early on after starting anthracycline-based neoadjuvant chemotherapy can predict final clinical and pathologic response. The ability to identify nonresponders early may allow the selection of patients who may benefit from a therapy change.

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