The prognostic value of SUV(max) measuring on primary lesion and ALN by (18)F-FDG PET or PET/CT in patients with breast cancer.

To evaluate the prognostic value of maximum standardized uptake values (SUVmax) measured in the primary lesion and axillary lymph nodes (ALN) by pretreatment fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) or positron emission tomography/computed tomography (PET/CT) in patients with breast cancer. We systematically searched PubMed, Embase, and the Cochrane Library. The primary prognosis endpoint was event-free survival (EFS), and the secondary endpoint was overall survival (OS). The pooled hazard ratio (HR) was estimated by using random-effects model according to the results of heterogeneity. Fifteen eligible studies with 3574 breast cancer patients were included. For EFS, patients with higher primary SUVmax showed a poorer survival prognosis with pooled HR of 1.96 (95% confidence interval (CI) 1.40-2.73). The combined HR of high SUVmax in ALN and ALN-to-primary SUVmax ratio (N/T ratio) were 1.89 (95% CI 0.70-5.07) and 2.06 (95% CI 0.59-7.21), respectively. In analyzing invasive ductal carcinoma (IDC) patients, the pooled HR was 1.91 (95% CI 1.40-2.64). For OS, the pooled HR of SUVmax in primary lesion and ALN were 0.64 (95% CI 0.23-1.84) and 1.09 (95% CI 0.07-16.53), respectively. Our meta-analysis suggested that patients with high primary SUVmax may experience a higher risk for recurrence or a poor progression. Moreover, the SUVmax of 18F-FDG showed a significant prognostic value in IDC patients.

Diao W ，Tian F ，Jia Z 《-》

18F-FDG uptake by metastatic axillary lymph nodes on pretreatment PET/CT as a prognostic factor for recurrence in patients with invasive ductal breast cancer.

Song BI ，Lee SW ，Jeong SY ，Chae YS ，Lee WK ，Ahn BC ，Lee J ... -  《-》

Predictive Value of (18)F-FDG PET/CT for Axillary Lymph Node Metastasis in Invasive Ductal Breast Cancer.

Song BI ，Kim HW ，Won KS 《-》

Prognostic significance of preoperative (18)F-FDG PET/CT for breast cancer subtypes.

Adjuvant treatments for operable breast cancers are determined according to subtypes defined based on estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) status. The ER+/HER2- subtype can be divided into luminal A and luminal B usually by Ki67 expression levels. Although tumor size, lymph node metastasis and tumor grade have been widely accepted in daily clinical practice, the identification of further prognostic indicators especially in the ER+/HER2- subtype is warranted. A total of 387 operated breast cancers for which maximum standardized uptake value (SUVmax) on the 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (FDG PET/CT) were available at baseline were retrospectively analyzed. The optimal cutoff value of SUVmax for relapse-free survival (RFS) was determined to be 3.585 by means of the receiver operating characteristics curve with an area under the curve of 0.6795 (95% CI: 0.5972 to 0.7618, p = 0.0006, sensitivity: 78.8%, specificity: 57.1%). The RFS of patients with SUVmax-high (n = 178) was significantly (p = 0.0003) worse compared with those with SUVmax-low (n = 209). This significant association was prominently recognized in the ER+/HER2- subtype. By multivariable analysis, SUVmax (hazard ratio: 3.83, 95% confidence interval: 1.28-11.51, p = 0.017), tumor size (4.22, 1.39-12.82, p = 0.011) and lymph node metastasis (4.44, 1.81-10.87, p = 0.0012) were significant and independent prognostic factors for RFS. The ER+/HER2- subtype demonstrated consistently worse RFS in the SUVmax-high patients both in the luminal A (p = 0.037) and luminal B (p = 0.047) subtypes. Combination of Ki67 and SUVmax appears to be useful for selecting patients who have inferior prognosis and need further adjuvant treatment of the ER+/HER2- subtype.

Higuchi T ，Nishimukai A ，Ozawa H ，Fujimoto Y ，Yanai A ，Miyagawa Y ，Murase K ，Imamura M ，Takatsuka Y ，Kitajima K ，Fukushima K ，Miyoshi Y ... -  《-》

The correlation of (18)F-FDG PET/CT metabolic parameters, clinicopathological factors, and prognosis in breast cancer.

Qu YH ，Long N ，Ran C ，Sun J ... -  《-》