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光学相干断层扫描图像特征对基底细胞癌诊断的价值。

Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma.

机构信息

Department of Dermatology, Maastricht University Medical Centre, P. Debyelaan 25, NL-6229 HX Maastricht, The Netherlands.

出版信息

Acta Derm Venereol. 2021 Nov 30;101(11):adv00607. doi: 10.2340/actadv.v101.421.

DOI:10.2340/actadv.v101.421
PMID:34724068
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9455320/
Abstract

Optical coherence tomography (OCT) is a non-invasive diagnostic method. Numerous morphological OCT features have been described for diagnosis of basal cell carcinoma (BCC). The aim of this study is to evaluate the diagnostic value of established OCT features and to explore whether the use of a small set of OCT features enables accurate discrimination between BCC and non-BCC lesions and between BCC subtypes. For each lesion, the presence or absence of specific OCT features was recorded. Histopathology was used as a gold standard. Diagnostic parameters were calculated for each OCT feature, and multivariate logistic regression analyses were performed to evaluate the loss in discriminative ability when using a small subset of OCT features instead of all features that are characteristic for BCC according to the literature. The results show that the use of a limited number of OCT features allows for good discrimination of superficial BCC from non-superficial BCC and non-BCC lesions. The prevalence of BCC was 75.3% (225/299) and the proposed diagnostic algorithm enabled detection of 97.8% of BCC lesions (220/225). Subtyping without the need for biopsy was possible in 132 of 299 patients (44%), with a predictive value for presence of superficial BCC of 84.3% vs 98.8% for presence of non-superficial BCC.

摘要

光学相干断层扫描(OCT)是一种非侵入性的诊断方法。已经描述了许多形态学 OCT 特征,用于诊断基底细胞癌(BCC)。本研究旨在评估已建立的 OCT 特征的诊断价值,并探讨是否使用少量 OCT 特征能够准确区分 BCC 与非 BCC 病变以及 BCC 亚型。对于每个病变,记录特定 OCT 特征的存在或不存在。组织病理学用作金标准。为每个 OCT 特征计算诊断参数,并进行多变量逻辑回归分析,以评估当使用少量 OCT 特征(根据文献,这些特征是 BCC 的特征)而不是所有特征时,鉴别能力的损失。结果表明,使用少量 OCT 特征可以很好地区分浅表 BCC 与非浅表 BCC 和非 BCC 病变。BCC 的患病率为 75.3%(225/299),所提出的诊断算法能够检测到 97.8%的 BCC 病变(220/225)。在 299 名患者中的 132 名(44%)无需活检即可进行亚型分类,浅表 BCC 的存在预测值为 84.3%,而非浅表 BCC 的存在预测值为 98.8%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c483/9455320/e4bf5dcf8b4c/ActaDV-101-11-421-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c483/9455320/35f3d84fcaab/ActaDV-101-11-421-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c483/9455320/e4bf5dcf8b4c/ActaDV-101-11-421-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c483/9455320/35f3d84fcaab/ActaDV-101-11-421-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c483/9455320/e4bf5dcf8b4c/ActaDV-101-11-421-g002.jpg

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'Pitfalls for differentiating basal cell carcinoma from non-basal cell carcinoma on optical coherence tomography: A clinical series'.“光学相干断层扫描鉴别基底细胞癌与非基底细胞癌的陷阱:临床系列”。
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