The aim of this study was to investigate the correlation between primary lesion and contralateral breast tissue metabolic parameters in standard and delayed images obtained on preoperative F-18-fluorodeoxyglucose (FDG) positron emission tomography (PET) and the correlation with pathological variables of primary lesion in invasive lobular breast cancer (ILC). Methods: Seventeen ILC cases in which standard and late FDG-PET imaging were performed between 2007 and 2018 were included in the study. SUV max , metabolic tumor volume (MTV) and total lesion glycolysis (TLG) values and change rates (Δ) of primary malignant lesion and contralateral breast control area were recorded. T and N-stages, histological and nuclear grades of primary malignancy, estrogen receptor (ER), progesterone receptor, presence of human epidermal growth factor receptor (HER)-2 and Ki-67 values are compared with FDG-PET values. Results: No statistically significant correlation was found between metabolic parameters and histopathological components of 17 ILC patients (median age: 45 years) after surgery (11 breast conserving surgery, 6 mastectomy). Among the metabolic parameters obtained from contralateral breast tissue, SUV max-based ones [standard(s)-SUV max , late(g)-SUV max , ΔSUV max ] showed statistically significant differences with malignancy (p<0.000). Conclusion: Especially the negative median value of the control SUV max suggests that late imaging may provide additional contribution, especially in the dense breast tissue, in the ILC with high probability of multifocality/multicentricity. Although there was no statistically significant difference with histopathological components, parallel results (such as high Δ-TLG in presence of lymph node metastasis, HER-2 positive and high SUV max , MTV and TLG median values in ER negative cases) were seen with the literature mostly consisting of invasive ductal carcinoma. Confirmation of this important information obtained only from ILC patients is required in multicentre studies or meta-analyzes in which the number of cases will be higher.