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- Title
ADC of Diffusion-weighted MRI and SUV<sub>max</sub> of 18F-FDG-PET/CT: Correlation with Prognostic Factors and Distant Metastasis in Breast Cancer.
- Authors
ÇIFCI, Kevser Esmeray; NAZLI, Mehmet Ali; BAYKARA ULUSAN, Melis; ARSLAN, Esra
- Abstract
OBJECTIVE We aimed to evaluate the relationship between apparent diffusion coefficient (ADC), maximum standardized uptake value (SUVmax), and prognostic factors in breast cancer (BC) and to investigate the contribution of these parameters in determining the distant metastases at the time of diagnosis in BC. METHODS The study included 209 patients with invasive BC at the time of initial diagnosis. Patients underwent whole-body 18F-fluorodeoxyglocose positron emission tomography/computed tomography and breast magnetic resonance imaging including diffusion weighted imaging. Histologic grade (HG), histological type, human epidermal growth factor 2 (HER-2), Ki-67, estrogen receptor (ER), and progesterone receptor (PR) markers of the breast tumor were evaluated in pathological samples. Tumor-node-metastasis (TNM) staging was performed based on clinical, pathological, and imaging findings. RESULTS HER-2 positivity and PR positivity demonstrated a strong correlation with distant metastasis (p=0.00040 ve 0.00045). ER positivity was positively correlated with SUVmax (p=0.0001) and SUVmax/ADCmean (p=0.006). PR was positively correlated with ADCmean (0.028). SUVmax was correlated with the tumor size (p=0.008), TNM stage (p=0.022 and r=0.159), and HG (p<0.0001 and r=0.347). CONCLUSION Both SUVmax and ADCmean are helpful parameters in determining prognosis in BC. HER-2 and PR positivity, and tumor size can be used as revealing and useful parameters in determining distant metastases.
- Subjects
BREAST cancer prognosis; EPIDERMAL growth factor receptors; MAGNETIC resonance imaging; POSITRON emission tomography computed tomography; METASTASIS; DIAGNOSTIC imaging; ESTROGEN receptors; TUMOR classification; RADIOPHARMACEUTICALS; DEOXY sugars; TUMOR markers; PROGESTERONE receptors
- Publication
Turkish Journal of Oncology / Türk Onkoloji Dergisi, 2023, Vol 38, Issue 2, p180
- ISSN
1300-7467
- Publication type
Article
- DOI
10.5505/tjo.2023.3473