1. Use of positron emission tomography-computed tomography to predict axillary metastasis in patients with triple-negative breast cancer
- Author
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Jung Hyun Youm, Yoona Chung, You Jung Yang, Sang Ah Han, and Jeong Yoon Song
- Subjects
breast neoplasms ,triple negative breast neoplasms ,lymphatic metastasis ,positron emission tomography computed tomography ,roc curve ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Surgery ,RD1-811 - Abstract
Purpose Axillary lymph node dissection (ALND) and sentinel lymph node biopsy (SLNB) are important for staging of patients with node-positive breast cancer. However, these can be avoided in select micrometastatic diseases, preventing postoperative complications. The present study evaluated the ability of axillary lymph node maximum standardized uptake value (SUVmax) on positron emission tomography-computed tomography (PET-CT) to predict axillary metastasis of breast cancer. Methods The records of invasive breast cancer patients who underwent pretreatment (surgery and/or chemotherapy) PET-CT between January 2006 and December 2014 were reviewed. ALNs were preoperatively evaluated by PET-CT. Lymph nodes were dissected by SLNB or ALND. SUVmax was measured in both the axillary lymph node and primary tumor. Student t-test and chi-square test were used to analyze sensitivity and specificity. Receiver operating characteristic (ROC) and area under the ROC curve (AUC) analyses were performed. Results SUV-tumor (SUV-T) and SUV-lymph node (SUV-LN) were significantly higher in the triple-negative breast cancer (TNBC) group than in other groups (SUV-T: 5.99, P
- Published
- 2018
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