Yao-Lung Kuo1, Wei-Jen Yao, Tsai-Wang Chang. 1. Department of Surgery, College of Medicine, National Cheng Kung University, Tainan and Dou-Liou Branch, Taiwan.
Abstract
BACKGROUND: In approximately 80% of breast cancer patients, the hottest sentinel lymph nodes (SLNs) can be used to predict nodal metastasis. We correlate the reliability of using these nodes to predict SLN metastasis with different lymphoscintigraphic patterns in breast cancer. METHODS: SLN biopsies for T(1-2)N(o) breast cancer were performed on 467 patients. Lymphoscintigraphic patterns were divided into three groups by the number of draining routes using blue dye and radiocolloid and whether the hottest nodes were the first nodes in the channel. RESULTS: The hottest SLNs detected 78 of 87 (90%) cases of SLN metastasis in the 399 patients with successful labeling of both blue dye and radiocolloid in their SLNs. False-negative rates were 0% (single-channel, first node), 58% (multi-channel, first node), and 71% (zero-channel, 0 hottest nodes) (FNR: SingleChanl versus ZeroChanl, P=0.005 and SingleChanl versus MultiChanl, P=0.037; Fisher's exact test). CONCLUSIONS: We recommend a preoperative lymphoscintigram to distinguish the subset of breast-cancer patients with a single draining channel and whose hottest node is the first node.
BACKGROUND: In approximately 80% of breast cancerpatients, the hottest sentinel lymph nodes (SLNs) can be used to predict nodal metastasis. We correlate the reliability of using these nodes to predict SLN metastasis with different lymphoscintigraphic patterns in breast cancer. METHODS:SLN biopsies for T(1-2)N(o) breast cancer were performed on 467 patients. Lymphoscintigraphic patterns were divided into three groups by the number of draining routes using blue dye and radiocolloid and whether the hottest nodes were the first nodes in the channel. RESULTS: The hottest SLNs detected 78 of 87 (90%) cases of SLN metastasis in the 399 patients with successful labeling of both blue dye and radiocolloid in their SLNs. False-negative rates were 0% (single-channel, first node), 58% (multi-channel, first node), and 71% (zero-channel, 0 hottest nodes) (FNR: SingleChanl versus ZeroChanl, P=0.005 and SingleChanl versus MultiChanl, P=0.037; Fisher's exact test). CONCLUSIONS: We recommend a preoperative lymphoscintigram to distinguish the subset of breast-cancerpatients with a single draining channel and whose hottest node is the first node.
Authors: Maria C Dambros Gabbi; Paulo R Masiero; Diego Uchoa; Ilza V Moraes; Jorge V Biazus; Maria Ia Edelweiss Journal: Am J Nucl Med Mol Imaging Date: 2014-09-06
Authors: O Lahtinen; M Eloranta; M Anttila; H Kärkkäinen; R Sironen; R Vanninen; S Rautiainen Journal: Eur Radiol Date: 2017-11-30 Impact factor: 5.315