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A model for predicting low probability of nonsentinel lymph node positivity in melanoma patients with a single positive sentinel lymph node

机译:一种阳性哨淋巴结淋巴结淋巴结患者不列颠淋巴结阳性低概率的模型

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摘要

Background Identifying factors associated with nonsentinel lymph node (NSN) metastases in melanoma patients with a single positive sentinel lymph node (SLN) could aid decision making regarding adjuvant therapy. We describe a model for identifying patients with a single positive SLN at low risk for NSN metastasis. Methods Factors associated with NSN metastasis in patients with a primary cutaneous melanoma and a single positive SLN who underwent completion lymph node dissection (CLND) were identified. These factors were used to construct a model for predicting the NSN status. The model was validated using a separate data set from another tertiary referral cancer center. Results In the training data set, 111 patients had a single positive SLN. Of these, 27 had positive NSN. SLN tumor deposit diameter ≥0.75?mm (OR, 3.43; P ?=?0.047), age ≥40 (OR, 12.14; P ?=?0.024), and multifocal SLN tumor deposit location (OR, 4.16; P ?=?0.0096) were independently associated with NSN positivity. Patients with 0 to 1 of these risk factors had a low risk of NSN metastasis in both the training (7.5%) and validation (4.6%) data sets. Conclusions A combination of patient and SLN tumor burden characteristics can help to identify patients with a single positive SLN who are at a low risk of NSN metastasis.
机译:背景技术鉴定与单次阳性哨淋巴结(SLN)的黑色素瘤患者中非淋巴结(NSN)转移相关的因素可以帮助关于佐剂治疗的决策。我们描述了一种鉴定单个阳性SLN患者的模型,以低风险NSN转移。方法鉴定了与初级皮肤黑素瘤患者患者NSN转移相关的因素和接受完全淋巴结解剖(CLND)的单一阳性SLN。这些因素用于构建用于预测NSN状态的模型。使用来自另一个第三次推荐癌症中心的单独数据进行验证该模型。结果培训数据集,111名患者有一个阳性SLN。其中,27个有正面的NSN。 SLN肿瘤沉积物直径≥0.75?mm(或3.43; p?= 0.047),年龄≥40(或12.14; p?= 0.024),和多焦体SLN肿瘤沉积位置(或4.16; p?=? 0.0096)与NSN阳性独立相关。这些风险因素中的0〜1的患者在培训(7.5%)和验证(4.6%)数据集中具有低风险NSN转移。结论患者和SLN肿瘤负荷特性的组合可以有助于鉴定患有单一阳性SLN的患者,该患者患有NSN转移的低风险。

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