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Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer.

Authors :
Park SH
Moon WK
Cho N
Chang JM
Im SA
Park IA
Kang KW
Han W
Noh DY
Park, Sang Hee
Moon, Woo Kyung
Cho, Nariya
Chang, Jung Min
Im, Seock-Ah
Park, In Ae
Kang, Keon Wook
Han, Wonshik
Noh, Dong-Young
Source :
European Radiology; Jan2012, Vol. 22 Issue 1, p18-25, 8p
Publication Year :
2012

Abstract

<bold>Objective: </bold>To compare the use of diffusion-weighted MR imaging (DWI) and (18)F-FDG PET/CT to predict pathological complete response (pCR) in breast cancer patients receiving neoadjuvant chemotherapy.<bold>Methods: </bold>Thirty-four women with 34 invasive breast cancers underwent DWI and PET/CT before and after chemotherapy and before surgery. The percentage changes in the apparent diffusion coefficient (ADC) and the standardised uptake value (SUV) were calculated, and the diagnostic performances for predicting pCR were evaluated using receiver operating characteristic (ROC) curve analysis.<bold>Results: </bold>After surgery, 7/34 patients (20.6%) were found to have pCR. A( z ) values for DWI, PET/CT and the combined use of DWI and PET/CT were 0.910, 0.873 and 0.944, respectively. The best cut-offs for differentiating pCR from non-pCR were a 54.9% increase in the ADC and a 63.9% decrease in the SUV. DWI showed 100% (7/7) sensitivity and 70.4% (19/27) specificity and PET/CT showed 100% sensitivity and 77.8% (21/27) specificity. When DWI and PET/CT were combined, there was a trend towards improved specificity compared with DWI.<bold>Conclusions: </bold>DWI and FDG PET/CT show similar diagnostic accuracy for predicting pCR to neoadjuvant chemotherapy in breast cancer patients. The combined use of DWI and FDG PET/CT has the potential to improve specificity in predicting pCR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09387994
Volume :
22
Issue :
1
Database :
Complementary Index
Journal :
European Radiology
Publication Type :
Academic Journal
Accession number :
104351082
Full Text :
https://doi.org/10.1007/s00330-011-2236-x