Sydney Melanoma Diagnostic Centre and Dermatology Department, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
J Invest Dermatol. 2010 Aug;130(8):2080-91. doi: 10.1038/jid.2010.84. Epub 2010 Apr 15.
Limited studies have reported the in vivo reflectance confocal microscopy (RCM) features of lentigo maligna (LM). A total of 64 RCM features were scored retrospectively and blinded to diagnosis in a consecutive series of RCM sampled, clinically equivocal, macules of the face (n=81 LM, n=203 benign macules (BMs)). In addition to describing RCM diagnostic features for LM (univariate), an algorithm was developed (LM score) to distinguish LM from BM. This comprised two major features each scoring +2 points (nonedged papillae and round large pagetoid cells > 20 microm), and four minor features; three scored +1 point each (three or more atypical cells at the dermoepidermal junction in five 0.5 x 0.5 mm(2) fields, follicular localization of atypical cells, and nucleated cells within the dermal papillae), and one (negative) feature scored -1 point (a broadened honeycomb pattern). A LM score of > or = 2 resulted in a sensitivity of 85% and specificity of 76% for the diagnosis of LM (odds ratio (OR) for LM 18.6; 95% confidence interval: 9.3-37.1). The algorithm was equally effective in the diagnosis of amelanotic lesions and showed good interobserver reproducibility (87%). In a test set of 29 LMs and 44 BMs, the OR for LM was 60.7 (confidence interval: 11.9-309) (93% sensitivity, 82% specificity).
仅有少数研究报道了恶性雀斑样痣(LM)的体内共聚焦激光扫描显微镜(RCM)特征。在一项连续的 RCM 采样中,对 81 例 LM、203 例良性斑(BMs)的临床疑似斑进行了回顾性评分和盲法诊断,共评估了 64 项 RCM 特征。除了描述 LM 的 RCM 诊断特征(单变量)外,还开发了一种算法(LM 评分)来区分 LM 和 BM。该算法由两个主要特征组成,每个特征得 2 分(无边缘的乳头和圆形大 paget 样细胞>20 微米),四个次要特征;三个特征各得 1 分(在五个 0.5 x 0.5 mm(2)视野的表皮与真皮交界处有三个或更多异型细胞,滤泡定位的异型细胞,真皮乳头内有核细胞),一个特征(阴性)得 1 分(蜂窝状图案变宽)。LM 评分≥2 时,诊断 LM 的敏感性为 85%,特异性为 76%(LM 的优势比(OR)为 18.6;95%置信区间:9.3-37.1)。该算法在诊断无色素性病变时同样有效,且观察者间的可重复性较好(87%)。在 29 例 LM 和 44 例 BM 的测试集中,LM 的 OR 为 60.7(置信区间:11.9-309)(敏感性 93%,特异性 82%)。