Sentinel lymph node biopsy using CT lymphography in breast cancer

Breast Cancer : the Journal of the Japanese Breast Cancer Society
Junya MinohataKouichi Hirokaga

Abstract

Sentinel lymph node biopsy (SLNB) is a standard surgical procedure for patients with early breast cancer. The combination of radioisotope (RI) and dye staining is the most accurate method for identification of sentinel lymph nodes (SLN). However, institutions without RI centers perform SLNB by blue dye alone. The identification rate with the dye method alone is inferior to the RI combination method. In our institution, the identification rate of SLNBs by the dye method alone was 95%. So we started this study of SLNB using computed tomographic lymphography (CTLG). Three hundred twenty-four patients with primary breast cancer and no clinical evidence of lymph node metastasis were studied. Identification of SLN was performed by CTLG and the dye-staining method. The identification rate of SLNs was analyzed for relation with the clinicopathological findings. The SLN identification rate was 98.5% with CTLG and 98.8% when combined with the dye-staining method. The identification rate with CTLG was significantly lower in the initial cases. CTLG identified the SLNs in all cases 6 months after its induction. Multi-route multi-SLN patterns, in which SLNs were easily missed by the dye method, were detected in 9.6% of the patients. There wa...Continue Reading

References

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Citations

Jun 26, 2013·International Journal of Clinical Oncology·Masato YasutaTakahiro Kiyohara
Jun 22, 2012·Breast Cancer : the Journal of the Japanese Breast Cancer Society·Kazunori YokohataNaoyuki Matoba
Jul 30, 2014·Breast Cancer : the Journal of the Japanese Breast Cancer Society·Mohamed MokhtarAkira Tangoku
Aug 16, 2011·The Breast : Official Journal of the European Society of Mastology·J Chirgwin, S L Chua
Jan 13, 2015·Breast Cancer : the Journal of the Japanese Breast Cancer Society·Shigeru YamamotoMasaaki Oka
Nov 23, 2017·Polish Journal of Veterinary Sciences·Sabine HessenbergerJ Fink-Gremmels
May 5, 2018·Anatomical Science International·Tamaki FujitaMasahiko Aoki

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