Sondak Vernon K, Taylor Jeremy M G, Sabel Michael S, Wang Yue, Lowe Lori, Grover Amelia C, Chang Alfred E, Yahanda Alan M, Moon James, Johnson Timothy M
Department of Surgery, University of Michigan Health System, Ann Arbor, Michigan, USA.
Ann Surg Oncol. 2004 Mar;11(3):247-58. doi: 10.1245/aso.2004.03.044.
Sentinel lymph node (SLN) biopsy allows surgeons to identify patients with subclinical nodal involvement who may benefit from lymphadenectomy and, possibly, adjuvant therapy. Several factors have been variably, and sometimes discordantly, reported to have predictive value for SLN metastasis to best select which patients require SLN biopsy.
We reviewed 419 patients who underwent SLN biopsy for melanoma from a prospectively collected melanoma database. To derive a probabilistic model for the occurrence of a positive SLN, a multivariate logistic model was fit by using a stepwise variable selection method. The accuracy of each model was evaluated by using receiver operator characteristic curves.
On univariate analysis, the number of mitoses per square millimeter, increasing Breslow depth, decreasing age, ulceration, and melanoma on the trunk showed a significant relationship to a positive SLN. Multivariate analysis revealed that once age, mitotic rate, and Breslow thickness were included, no other factor, including ulceration, was significantly associated with a positive SLN. The data suggest that younger patients with tumors <1 mm may still have a substantial risk for a positive SLN, especially if the mitotic rate is high.
In addition to Breslow depth, mitoses per square millimeter and younger age were factors identified as independent predictors of a positive SLN. This model may identify patients with thin melanoma at sufficient risk for metastases to justify SLN biopsy.
前哨淋巴结(SLN)活检可使外科医生识别可能从淋巴结清扫术及辅助治疗中获益的亚临床淋巴结受累患者。据报道,有几个因素对SLN转移具有不同程度的预测价值,有时甚至相互矛盾,以最佳选择哪些患者需要进行SLN活检。
我们回顾了419例因黑色素瘤接受SLN活检的患者,这些患者的数据来自一个前瞻性收集的黑色素瘤数据库。为了推导SLN阳性发生的概率模型,我们使用逐步变量选择方法拟合了一个多变量逻辑模型。通过使用受试者工作特征曲线评估每个模型的准确性。
单因素分析显示,每平方毫米有丝分裂数、Breslow深度增加、年龄减小、溃疡以及躯干黑色素瘤与SLN阳性显著相关。多因素分析显示,一旦纳入年龄、有丝分裂率和Breslow厚度,包括溃疡在内的其他因素与SLN阳性均无显著相关性。数据表明,肿瘤<1mm的年轻患者SLN阳性风险可能仍然很高,尤其是有丝分裂率高的患者。
除Breslow深度外,每平方毫米有丝分裂数和年轻是被确定为SLN阳性独立预测因素的因素。该模型可识别出薄型黑色素瘤转移风险足够高、有必要进行SLN活检的患者。