中国麻风皮肤病杂志 ›› 2022, Vol. 38 ›› Issue (1): 29-33.doi: 10.12144/zgmfskin202201029

• 论著 • 上一篇    下一篇

预测双波长脉冲染料激光治疗鲜红斑痣效果的无创模型研究

刘杰雄,黄煜坤,刘璐,熊霞,邓永琼   

  1. 西南医科大学附属医院皮肤科，四川泸州，646000
  • 出版日期:2022-01-15 发布日期:2021-11-01
  • 通讯作者: 邓永琼，E-mail: dengyongqiong1@126.com

Study on model of predicting the efficacy of dual-wavelength pulsed dye laser in treatment of port-wine stains

LIU Jiexiong, HUANG Yukun, LIU Lu, XIONG Xia, DENG Yongqiong   

  1. Department of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
  • Online:2022-01-15 Published:2021-11-01
  • Contact: DENG Yongqiong, E-mail: dengyongqiong1@126.com

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摘要： 目的：建立一种预测脉冲双波长染料激光治疗鲜红斑痣效果的无创数学模型。方法：收集采用双脉冲染料激光治疗的91例面颈部鲜红斑痣患者资料，将其分为建模组（59例）及验证组（32例）。在建模组采用单因素及多因素方法分析影响PWS治疗效果的独立相关因素；通过logistic回归建立数学模型PWS index；最后采用ROC曲线下面积、敏感性、特异性等评价该模型的疗效预测能力。结果：经单因素及多因素方法分析发现皮肤镜表现分型、B超皮肤厚度是预测染料激光治疗面颈部鲜红斑痣治疗效果的独立相关因素(P<0.05)。数学模型PWS index=-5.899+［-1.846(皮肤镜表现1型)/2.017(皮肤镜表现2型)］+6.808*B超厚度。PWS index预测建模组及验证组鲜红斑痣治疗效果的曲线下面积分别为0.952(95% CI：0.895,1.01)、0.902（95% CI：0.785, 0.102）。结论：皮肤镜表现、B超皮肤厚度是预测染料激光治疗鲜红斑痣疗效的独立相关因素，基于二者建立的数学模型PWS index在建模组及验证组均显示出较好的疗效预测价值。

关键词: 鲜红斑痣, 脉冲染料激光, 无创模型

Abstract: Objective: To study a non-invasive mathematical model for predicting the effect of dual-wavelength pulsed dye laser on port-wine stains (PWS). Methods:The data of 91 patients with port-wine stains treated with dual-wavelength pulsed dye laser were retrospectively analyzed and  were divided into modeling group (59 patients) and verification group (32 patients). In the modeling group, using single-factor and multi-factor methods to analyze independent related factors which affect the effect of PWS. The mathematical model PWS index was established through logistic regression. Finally, areas under the receiver operating characteristics (AUROC), sensitivity, and specificity were used to evaluate the predictive ability of the model. Results: The dermoscopic feature of PWS and skin thickness under B-ultrasound were independent factors on the effect of dye laser treatment on PWS on the face and neck by single-factor and multi-factor methods (P<0.05). Mathematical model PWS index=-5.899 +［-1.846 (dermoscopy type 1)/2.017 (dermoscopy type 2)］ + 6.808 * B-ultrasonic thickness. The AUROC (95% CI) for the effect of dye laser treatment on PWS in the modeling group and verification group were 0.952 (95% CI: 0.895, 1.01) and 0.902 (95% CI: 0.785, 0.102). Conclusion: The dermoscopic feature of PWS and skin thickness under B-ultrasound are independent factors that predict the efficacy of dual-wavelength pulsed dye laser trentment on PWS on the face and neck. The mathematical model PWS index established based on the two parameters exhibits significant prediction of efficacy in both the modeling group and the verification group.

Key words: port-wine stains, pulsed dye laser, none-invasive model