Materials and The institutional review board approved this retrospec-Methods: tive study, and the requirement for informed consent was waived. Between December 2009 and December 2012, 86 patients with 86 lesions with luminal-type invasive breast cancer NOS underwent magnetic resonance imaging, including dynamic contrast material-enhanced imaging and diffusion-weighted imaging with b values of 0 and 1000 sec/mm2. Conventional measurement of the minimum and mean ADCs by placing regions of interest and histogram analysis of pixel-based ADC data of the entire tumor were performed by two observers independently and correlated with the Ki-67 labeling index of surgical specimens.
Purpose: To evaluate the correlation between apparent diffusion coefficient (ADC) values and the Ki-67 labeling index for lu-minal-type (estrogen receptor-positive) breast cancer not otherwise specified (NOS) diagnosed by means of biopsy.
Results: For the interobserver reliability, interclass correlation coefficients for all parameters with the exception of the minimum ADC exceeded 0.8, indicating almost perfect agreement. The minimum ADC and mean ADC and the 25th, 50th, and 75th percentiles of the histograms showed negative correlations with the Ki-67 labeling index (r = 20.49, 20.55, 20.54, 20.53, and 20.48, respectively). Receiver operating characteristic curve analysis for the differential diagnosis between the high-proliferation (Ki-67 ≥ 14; n = 44) and low-proliferation (Ki-67 < 14; n = 42) groups revealed that the most effective threshold for the mean ADC was lower than 1097 × 1026 mm2/sec, with sensitivity and specificity of 82% and 71%, respectively. The area under the receiver operating characteristic curve (AUC) was 0.81 for the mean ADC. There were no significant differences in the AUC among the parameters.
Conclusion: Considering convenience for routine practice, the authors suggest that the mean ADC of the conventional method would be practical to use for estimating the Ki-67 labeling index.
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging