A novel multi-layer perceptron model for assessing the diagnostic value of non-invasive imaging instruments for rosacea.
A novel multi-layer perceptron model for assessing the diagnostic value of non-invasive imaging instruments for rosacea.
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DOI：
10.7717/peerj.13917
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发表时间：
2022
期刊：
影响因子：
2.7
通讯作者：
Zhao, Zhixiang
中科院分区：
文献类型：
--
作者：
Huang, Yingxue;He, Jieyu;Zhang, Shuping;Tang, Yan;Wang, Ben;Jian, Dan;Xie, Hongfu;Li, Ji;Chen, Feng;Zhao, Zhixiang
反射共聚焦显微镜（RCM），VISIA和皮肤镜已成为客观诊断和评估酒渣鼻的有前途的工具。然而，很少有人知道这些成像系统的诊断价值酒渣鼻。通过建立一种新的多层感知器（MLP）模型，评估RCM、VISIA和皮肤镜对酒渣鼻的诊断价值。共520例酒渣鼻和其他面部疾病患者纳入本研究。共收集了474个皮肤镜数据样本、374个RCM数据样本、434个VISIA数据样本和291个包含三个数据源的样本。用全部数据建立MLP模型，以探讨每种仪器的影像学特征与酒渣鼻概率之间的关联。我们的MLP模型显示，RCM、VISIA和皮肤镜诊断酒渣鼻的受试者工作特征曲线下面积（AUROC）值分别为0.5233、0.5646和0.7971。这三种工具与临床数据的整合可以进一步提高预测诊断的准确性至0.8385。对于每种工具的影像学特征，角质层异常（角化过度或角化不全）是RCM下排除酒渣鼻的有效变量（比值比[OR]，0.4333）。VISIA下红斑痤疮的指标包括红斑的总体严重程度、累及脸颊或眉弓的红斑、可见的红色血管和丘疹（OR分别为2.2745、3.1592、1.8365、2.8647和1.4260）。皮肤镜检查的候选变量包括黄色背景、白色背景、均匀分布的血管、分支血管和网状血管（OR值分别为0.4259、0.4949、2.2858、3.7444和2.4576）。RCM、皮肤镜、VISIA各有其特点，对酒渣鼻的辅助诊断有一定价值。综合分析这三个工具，使用我们的MLP模型可能有助于提高诊断酒渣鼻的准确性。
Reflectance confocal microscopy (RCM), VISIA, and dermoscopy have emerged as promising tools for objective diagnosis and assessment of rosacea. However, little is known about the diagnostic value of these imaging systems for rosacea. To assess the diagnostic value of RCM, VISIA, and dermoscopy for rosacea by establishing a novel multilayer perceptron (MLP) model. A total of 520 patients with rosacea and other facial diseases were included in this study. A total of 474 samples of dermoscopy data, 374 samples of RCM data, 434 samples of VISIA data, and 291 samples containing three data sources were collected. An MLP model was built with the total data to explore the association between the imageological features of each instrument and the probability of rosacea. Our MLP model revealed that the area under the receiver operating characteristic curve (AUROC) values of RCM, VISIA and dermoscopy for diagnosing rosacea were 0.5233, 0.5646 and 0.7971, respectively. The integration of these three tools with clinical data could further improve the accuracy of the predictive diagnosis to 0.8385. For the imageological features of each tool, abnormalities (hyperkeratosis or parakeratosis) in the stratum corneum were effective variables for excluding rosacea (odds ratio [OR], 0.4333) under RCM. The indicators of rosacea under VISIA included overall severity of erythema, erythema involving the cheek or superciliary arch, visible red blood vessels, and papules (OR = 2.2745, 3.1592, 1.8365, 2.8647, and 1.4260, respectively). The candidate variables of dermoscopy included yellow background, white background, uniform distribution of vessels, branched vessels, and reticular blood vessels (OR = 0.4259, 0.4949, 2.2858, 3.7444, and 2.4576, respectively). RCM, dermoscopy, and VISIA each can present several imageological features and were of certain value for assisting rosacea diagnosis. The combined analysis of these three tools using our MLP model may be useful for improving the accuracy of diagnosing rosacea.
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影响因子：
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通讯作者：
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