Cochran Alistair J, Roberts Alice A, Saida Toshiaki
Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095-1732, USA.
Int J Clin Oncol. 2003 Jun;8(3):139-50. doi: 10.1007/s10147-003-0333-9.
The techniques of sentinel lymphatic mapping (LM) and sentinel lymph node biopsy (SLNB) have become almost routine for the staging of clinically node-negative patients with high-risk cutaneous melanoma. The techniques are also widely applied to staging of the axilla in breast cancer. Investigations of the use of LM and SLNB for other solid malignancies have also shown promise. LM/SLNB requires a multidisciplinary effort involving experienced surgeons, nuclear medicine physicians, and surgical pathologists. The techniques require a learning curve for all involved personnel, requiring experience with at least 30 cases followed by complete nodal dissection after SLNB to achieve full competency. Surgical pathologists play a pivotal role in determining optimum sentinel node analysis. The techniques have lower morbidity and greater accuracy than traditional complete regional node dissection. Pathologists are receiving increasing numbers of SLN specimens and are expected to evaluate the results of the application of the LM/SLNB techniques to a range of solid tumors. We have reviewed LM/SLNB in regard to melanoma and breast cancer and other types of malignancies. The techniques have much to offer, but despite their seeming simplicity, need considerable technical skill and clinical judgment if they are to be effectively applied. They also provide unique opportunities for basic and translational research.
前哨淋巴结定位(LM)和前哨淋巴结活检(SLNB)技术已几乎成为临床上高危皮肤黑色素瘤且淋巴结阴性患者分期的常规方法。这些技术也广泛应用于乳腺癌腋窝分期。对LM和SLNB用于其他实体恶性肿瘤的研究也显示出前景。LM/SLNB需要多学科协作,涉及经验丰富的外科医生、核医学医师和外科病理学家。这些技术对所有相关人员来说都需要一个学习过程,要求至少有30例经验,随后在SLNB后进行完整的淋巴结清扫以达到完全胜任。外科病理学家在确定最佳前哨淋巴结分析方面起着关键作用。与传统的完整区域淋巴结清扫相比,这些技术具有更低的发病率和更高的准确性。病理学家接收的前哨淋巴结标本数量越来越多,并且有望评估LM/SLNB技术应用于一系列实体肿瘤的结果。我们已就黑色素瘤、乳腺癌及其他类型恶性肿瘤对LM/SLNB进行了综述。这些技术有很多优势,但尽管看似简单,若要有效应用则需要相当的技术技能和临床判断力。它们还为基础研究和转化研究提供了独特的机会。