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The assessment of breast cancer response to neoadjuvant chemotherapy: comparison of magnetic resonance imaging and F-18-fluorodeoxyglucose positron emission tomography

Authors
Park, Jeong SeonMoon, Woo KyungLyou, Chae YeonCho, NariyaKang, Keon WookChung, June-Key
Issue Date
Feb-2011
Publisher
ROYAL SOC MEDICINE PRESS LTD
Keywords
Breast neoplasms; neoadjuvant chemotherapy; magnetic resonance imaging; positron-emission tomography
Citation
ACTA RADIOLOGICA, v.52, no.1, pp.21 - 28
Indexed
SCIE
SCOPUS
Journal Title
ACTA RADIOLOGICA
Volume
52
Number
1
Start Page
21
End Page
28
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/169104
DOI
10.1258/ar.2010.100142
ISSN
0284-1851
Abstract
Background: Neoadjuvant chemotherapy for locally advanced breast cancer is a widely accepted treatment. For assessment of the tumor response after chemotherapy, both magnetic resonance imaging (MRI) and F-18-fluorodeoxyglucose positron emission tomography (PET) are promising methods. Purpose: To retrospectively compare MRI and PET in the assessment of tumor response to neoadjuvant chemotherapy for primary breast cancer with the pathologic response as the reference standard. Material and Methods: Between August 2006 and May 2008, 32 women with breast cancer underwent concurrent MRI and PET before and after neoadjuvant chemotherapy. For response assessment, we calculated the changes in the maximum diameters of the tumor (Delta D-max) on MRI, and the changes in the standard uptake values (Delta SUV) on PET. The correlation between the Delta D-max and Delta SUV was analyzed using Pearson's correlation coefficient. The correspondence rates between each imaging modality and pathologic assessment were calculated. For prediction of the pathologic complete response (pCR), the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were analyzed using the McNemar test. Results: The pathologic assessment of tumor response to neoadjuvant chemotherapy identified eight complete responses (25.0%), 10 partial responses (31.2%), and 14 non-responses (43.8%). The change in size on MRI was moderately correlated with the change in SUV on PET (r = 0.574, p = 0.001). The correspondence rate of response assessment was 75.0% (24/32) between MRI and pathologic response and 53.1% (17/32) between PET and pathologic response. For the pCR, specificity (95.8% vs. 62.5%) and PPV (83.3% vs. 47.1%) were statistically higher on MRI than PET (p < 0.05), while sensitivity (100.0% vs. 62.5%) and NPV (100.0% vs. 88.5%) on PET tended to be higher than MRI. Conclusion: Before and after neoadjuvant chemotherapy for breast cancer, the Delta D-max of MRI correlated moderately with the Delta SUV on PET. For prediction of the pCR, MRI proved to be a more specific modality than PET.
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