A new method for apparent diffusion coefficient measurement using sequential 18 F-FDG PET and MRI: correlation with hist
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ORIGINAL ARTICLE
A new method for apparent diffusion coefficient measurement using sequential 18F-FDG PET and MRI: correlation with histological grade of invasive ductal carcinoma of the breast Byung Hyun Byun • Woo Chul Noh • Ilhan Lim • Seung Sook Lee • A. Ra Cho • Ji Ae Park • Kyeong Min Kim • Hyun-Ah Kim • Eun-Kyu Kim Byung Il Kim • Chang Woon Choi • Sang Moo Lim
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Received: 13 January 2013 / Accepted: 13 May 2013 Ó The Japanese Society of Nuclear Medicine 2013
Abstract Objective The aim of this study was to measure the apparent diffusion coefficient (ADC) value at the region with the highest FDG uptake using sequential 18F-FDG PET and MRI, and to correlate it with the histological grade of invasive ductal carcinoma (IDC) of the breast. Methods A retrospective study was conducted on 75 untreated patients with IDC. First, a PET/CT scan and subsequent breast MRI were done and the SUVmax of the each breast tumor was recorded. Then, a PET image and ADC map were co-registered. On the axial slice containing the pixel with SUVmax, we drew multiple circular ROIs
B. H. Byun I. Lim B. I. Kim C. W. Choi S. M. Lim (&) Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), 75 Nowongil, Nowon Gu, Seoul 139-706, Republic of Korea e-mail: [email protected] B. H. Byun I. Lim J. A. Park K. M. Kim B. I. Kim C. W. Choi S. M. Lim Molecular Imaging Research Center, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea W. C. Noh H.-A. Kim E.-K. Kim Department of Surgery, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea S. S. Lee Department of Pathology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea A. R. Cho Department of Nuclear Medicine, Seoul Medical Center, Seoul, Republic of Korea
within the tumor and measured the mean ADC value of each ROI. The average (ADC-mean) and minimum (ADCmin) of the mean ADC values for all ROIs within the tumor were calculated, respectively. Then, a circular ROI was placed at the corresponding location to the pixel with the highest SUV and the mean ADC value of the ROI was denoted as ADC-PET. We compared the averages of the ADC parameters and assessed the correlations among SUVmax and ADC parameters. ROC curve and logistic regression analyses were performed to assess the utility of ADC and SUVmax for detecting histological grade 3. Results ADC-min was significantly lower than the ADCmean or ADC-PET. All of the ADC parameters showed a negative correlation with SUVmax. The area under the ROC curve for identifying histological grade 3 using ADC-PET, ADC-min, ADC-mean and SUVmax was 0.684, 0.660, 0.633 and 0.639, respectively. By multivariate analysis, ADC-PET was a significant, independent predictor of histological grade 3 (p = 0.004). Conclusions We estimated the ADC value at the breast tumor region with the highest FDG uptake using
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