TY - JOUR
T1 - Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI
T2 - Preliminary results
AU - Abramson, Richard G.
AU - Li, Xia
AU - Hoyt, Tamarya Lea
AU - Su, Pei Fang
AU - Arlinghaus, Lori R.
AU - Wilson, Kevin J.
AU - Abramson, Vandana G.
AU - Chakravarthy, A. Bapsi
AU - Yankeelov, Thomas E.
N1 - Funding Information:
We thank John Huff, M.D., and Yu Shyr, Ph.D., for their invaluable insights and guidance. We also thank Donna Butler, Leslie McIntosh, and Sandeep Bhave for their expert technical assistance. This project was supported by the following research grants from the National Institutes of Health (NIH) : NCI 1R01CA129961 , NCI 1P50 098131 , NIH P30 CA68485 , and NCI 1U01CA142565 . We thank the Kleberg Foundation for generous support of the molecular imaging program at our Institution.
PY - 2013/11
Y1 - 2013/11
N2 - Purpose: To evaluate whether semi-quantitative analysis of high temporal resolution dynamic contrast-enhanced MRI (DCE-MRI) acquired early in treatment can predict the response of locally advanced breast cancer (LABC) to neoadjuvant chemotherapy (NAC). Materials and Methods: As part of an IRB-approved prospective study, 21 patients with LABC provided informed consent and underwent high temporal resolution 3. T DCE-MRI before and after 1. cycle of NAC. Using measurements performed by two radiologists, the following parameters were extracted for lesions at both examinations: lesion size (short and long axes, in both early and late phases of enhancement), radiologist's subjective assessment of lesion enhancement, and percentages of voxels within the lesion demonstrating progressive, plateau, or washout kinetics. The latter data were calculated using two filters, one selecting for voxels enhancing ≥. 50% over baseline and one for voxels enhancing ≥. 100% over baseline. Pretreatment imaging parameters and parameter changes following cycle 1 of NAC were evaluated for their ability to discriminate patients with an eventual pathological complete response (pCR). Results: All 21 patients completed NAC followed by surgery, with 9 patients achieving a pCR. No pretreatment imaging parameters were predictive of pCR. However, change after cycle 1 of NAC in percentage of voxels demonstrating washout kinetics with a 100% enhancement filter discriminated patients with an eventual pCR with an area under the receiver operating characteristic curve (AUC) of 0.77. Changes in other parameters, including lesion size, did not predict pCR. Conclusion: Semi-quantitative analysis of high temporal resolution DCE-MRI in patients with LABC can discriminate patients with an eventual pCR after one cycle of NAC.
AB - Purpose: To evaluate whether semi-quantitative analysis of high temporal resolution dynamic contrast-enhanced MRI (DCE-MRI) acquired early in treatment can predict the response of locally advanced breast cancer (LABC) to neoadjuvant chemotherapy (NAC). Materials and Methods: As part of an IRB-approved prospective study, 21 patients with LABC provided informed consent and underwent high temporal resolution 3. T DCE-MRI before and after 1. cycle of NAC. Using measurements performed by two radiologists, the following parameters were extracted for lesions at both examinations: lesion size (short and long axes, in both early and late phases of enhancement), radiologist's subjective assessment of lesion enhancement, and percentages of voxels within the lesion demonstrating progressive, plateau, or washout kinetics. The latter data were calculated using two filters, one selecting for voxels enhancing ≥. 50% over baseline and one for voxels enhancing ≥. 100% over baseline. Pretreatment imaging parameters and parameter changes following cycle 1 of NAC were evaluated for their ability to discriminate patients with an eventual pathological complete response (pCR). Results: All 21 patients completed NAC followed by surgery, with 9 patients achieving a pCR. No pretreatment imaging parameters were predictive of pCR. However, change after cycle 1 of NAC in percentage of voxels demonstrating washout kinetics with a 100% enhancement filter discriminated patients with an eventual pCR with an area under the receiver operating characteristic curve (AUC) of 0.77. Changes in other parameters, including lesion size, did not predict pCR. Conclusion: Semi-quantitative analysis of high temporal resolution DCE-MRI in patients with LABC can discriminate patients with an eventual pCR after one cycle of NAC.
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U2 - 10.1016/j.mri.2013.07.002
DO - 10.1016/j.mri.2013.07.002
M3 - Article
C2 - 23954320
AN - SCOPUS:84885077368
VL - 31
SP - 1457
EP - 1464
JO - Magnetic Resonance Imaging
JF - Magnetic Resonance Imaging
SN - 0730-725X
IS - 9
ER -
