TY - JOUR
T1 - Predictive value of primary tumor parameters using 18F-FDG PET/CT for occult lymph node metastasis in breast cancer with clinically negative axillary lymph node
AU - Yoo, Jang
AU - Kim, Bom Sahn
AU - Yoon, Hai Jeon
N1 - Funding Information:
This research was supported by grants from the National Research Foundation (2015R1C1A1A02037051, 2018R1D1A1B07045321) of South Korea. The authors have no conflicts of interest to declare.
Funding Information:
Acknowledgements This research was supported by grants from the National Research Foundation (2015R1C1A1A02037051, 2018R1D1A1B07045321) of South Korea.
Publisher Copyright:
© 2018, The Japanese Society of Nuclear Medicine.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - Objective: This study aimed to demonstrate the clinical significance of total lesion glycolysis (TLG) of primary breast cancer using 18F-FDG PET/CT to predict axillary lymph node (ALN) metastasis in invasive ductal breast cancer (IDC) with a clinically negative axillary lymph node (cN-ALN). Methods: 135 patients, newly diagnosed with IDC with CN-ALN between July 2016 and October 2017, were retrospectively enrolled. We estimated primary tumor PET/CT parameters including the maximum standard uptake value (SUVmax), metabolic tumor volume (MTV), and TLG, as well as clinicopathologic findings. All patients received breast surgery followed by pathologic axillary lymph node examination. Results: Of the 135 patients, 31 (23.0%) were diagnosed with pathologically proven metastatic ALN. In univariate analysis, SUVmax, MTV, and TLG of the primary breast tumor were correlated with metastatic ALN along with tumor size, lymphovascular invasion, CD34, and D2-40. On multivariate analysis, TLG (> 5.74, p = 0.009) had independent significance for predicting ALN metastasis in IDC with cN-ALN. Conclusion: We demonstrated that TLG of primary tumors can be useful in predicting pathologic ALN metastasis in IDC patients with cN-ALN.
AB - Objective: This study aimed to demonstrate the clinical significance of total lesion glycolysis (TLG) of primary breast cancer using 18F-FDG PET/CT to predict axillary lymph node (ALN) metastasis in invasive ductal breast cancer (IDC) with a clinically negative axillary lymph node (cN-ALN). Methods: 135 patients, newly diagnosed with IDC with CN-ALN between July 2016 and October 2017, were retrospectively enrolled. We estimated primary tumor PET/CT parameters including the maximum standard uptake value (SUVmax), metabolic tumor volume (MTV), and TLG, as well as clinicopathologic findings. All patients received breast surgery followed by pathologic axillary lymph node examination. Results: Of the 135 patients, 31 (23.0%) were diagnosed with pathologically proven metastatic ALN. In univariate analysis, SUVmax, MTV, and TLG of the primary breast tumor were correlated with metastatic ALN along with tumor size, lymphovascular invasion, CD34, and D2-40. On multivariate analysis, TLG (> 5.74, p = 0.009) had independent significance for predicting ALN metastasis in IDC with cN-ALN. Conclusion: We demonstrated that TLG of primary tumors can be useful in predicting pathologic ALN metastasis in IDC patients with cN-ALN.
KW - F-FDG PET/CT
KW - Clinically negative axillary lymph node
KW - Invasive ductal breast cancer
KW - Total lesion glycolysis
UR - http://www.scopus.com/inward/record.url?scp=85051284631&partnerID=8YFLogxK
U2 - 10.1007/s12149-018-1288-2
DO - 10.1007/s12149-018-1288-2
M3 - Article
C2 - 30094546
AN - SCOPUS:85051284631
SN - 0914-7187
VL - 32
SP - 642
EP - 648
JO - Annals of Nuclear Medicine
JF - Annals of Nuclear Medicine
IS - 9
ER -