利用智能手机和色彩分析对黑棘皮病进行分级:筛查糖耐量受损和 2 型糖尿病的新型无创方法

Q3 Medicine
A. Dhanoo, Sterling Ramroach, Felicia Hill-Briggs, Brian N. Cockburn
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引用次数: 0

摘要

这项研究的目的是开发 ANcam,这是一种利用智能手机摄像头和计算机辅助色彩分析来识别黑棘皮病(AN)的新方法,用于对糖耐量受损(IGT)患者进行无创筛查。 研究人员在特立尼达和多巴哥招募了患有或未患有 2 型糖尿病的成人和青少年参与者。在获得知情同意后,对参与者的病史、人口统计学、人体测量学和 A1C 进行了收集和记录。三位主题专家使用 ANcam 智能手机应用程序和 Burke 方法对颈部后侧和上背部的照片进行了独立评分。相关矩阵调查了 25 种颜色通道与色素沉着的相关性,并通过接收器操作特征曲线分析确定了诊断阈值。 在 227 位拍摄了图像和 A1C 值的参与者中,在 A1C 临界值为 5.7% [39 mmol/mol]时,青色/品红/黄色/黑色(CMYK)模型颜色通道 CMYK_K 与 IGT 的相关性最好(R = 0.45,P <0.001)。由于预测准确性高(曲线下面积 = 0.854),因此选择 7.67 CMYK_K 单位为临界值,灵敏度为 81.1%,特异性为 70.3%。与伯克分级法(F = 105.71,P <0.001)相比,ANcam 的评分者间差异较小(F = 1.99,P = 0.137)。ANcam 检测出颈部色素沉着的频率是自我报告频率的两倍。出现 ANcam 时,体重指数升高的可能性是自述的 2.9 倍(95% CI 1.9-4.3),血压升高的可能性是自述的 1.7 倍(95% CI 1.2-2.4),腰臀比升高的可能性是自述的 2.3 倍(95% CI 1.4-3.6)。 ANcam 为任何智能手机用户提供了一种灵敏、可重复、用户友好的 IGT 筛查工具,在大多数肤色和光照条件下均表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grading Acanthosis Nigricans Using a Smartphone and Color Analysis: A Novel Noninvasive Method to Screen for Impaired Glucose Tolerance and Type 2 Diabetes
The objective of this study was to develop ANcam, a novel method for identifying acanthosis nigricans (AN) using a smartphone camera and computer-aided color analysis for noninvasive screening of people with impaired glucose tolerance (IGT). Adult and juvenile participants with or without diagnosed type 2 diabetes were recruited in Trinidad and Tobago. After obtaining informed consent, participants’ history, demographics, anthropometrics, and A1C were collected and recorded. Three subject-matter experts independently graded pictures of the posterior neck and upper back using the ANcam smartphone application and Burke methods. A correlation matrix investigated 25 color channels for association with hyperpigmentation, and the diagnostic thresholds were determined with a receiver operating characteristic curve analysis. For the 227 participants with captured images and A1C values, the cyan/magenta/yellow/black (CMYK) model color channel CMYK_K was best correlated with IGT at an A1C cut-off of 5.7% [39 mmol/mol] (R = 0.45, P <0.001). With high predictive accuracy (area under the curve = 0.854), the cut-off of 7.67 CMYK_K units was chosen, with a sensitivity of 81.1% and a specificity of 70.3%. ANcam had low interrater variance (F = 1.99, P = 0.137) compared with Burke grading (F = 105.71, P <0.001). ANcam detected hyperpigmentation on the neck at double the self-reported frequency. Elevated BMI was 2.9 (95% CI 1.9–4.3) times more likely, elevated blood pressure was 1.7 (95% CI 1.2–2.4) times more likely, and greater waist-to-hip ratio was 2.3 (95% CI 1.4–3.6) times more likely with AN present. ANcam offers a sensitive, reproducible, and user-friendly IGT screening tool to any smartphone user that performs well with most skin tones and lighting conditions.
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来源期刊
Diabetes Spectrum
Diabetes Spectrum Medicine-Internal Medicine
CiteScore
2.70
自引率
0.00%
发文量
62
期刊介绍: The mission of Diabetes Spectrum: From Research to Practice is to assist health care professionals in the development of strategies to individualize treatment and diabetes self-management education for improved quality of life and diabetes control. These goals are achieved by presenting review as well as original, peer-reviewed articles on topics in clinical diabetes management, professional and patient education, nutrition, behavioral science and counseling, educational program development, and advocacy. In each issue, the FROM RESEARCH TO PRACTICE section explores, in depth, a diabetes care topic and provides practical application of current research findings.
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