Line-field confocal optical coherence tomography of basal cell carcinoma: A retrospective study on diagnostic performance.

IF 8.4 2区 医学 Q1 DERMATOLOGY
Lyna Mtimet, Lucas Boussingault, Dina Aktas, Margot Fontaine, Carmen Orte Cano, Gwendoline Diet, Clement Lenoir, Makiko Miyamoto, Elisa Cinotti, Linda Tognetti, Alessandra Cartocci, Pietro Rubegni, Susana Puig, Josep Malvehy, Javiera Perez-Anker, Jean-Luc Perrot, Véronique Del Marmol, Mariano Suppa
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引用次数: 0

Abstract

Introduction: Line-field confocal optical coherence tomography (LC-OCT) represents one of the newest non-invasive in vivo skin imaging techniques. Previous studies described morphologic criteria of basal cell carcinoma (BCC) under LC-OCT examination. Preliminary data on LC-OCT diagnostic performance for BCC have recently been published but showed only a modest improvement compared to dermoscopy, possibly due to study limitations.

Objectives: The main objective of this study was to find diagnostic performance parameters of LC-OCT for differentiating BCC from its clinical/dermoscopic mimickers and for discriminating among BCC subtypes. An additional objective was to suggest a simple, user-friendly diagnostic algorithm based on the most powerful LC-OCT features in the field of BCC and its imitators.

Materials and methods: Equivocal BCC lesions imaged with an LC-OCT device prior to biopsy/excision were included. Three observers blinded for histopathological diagnosis retrospectively formulated clinical, dermoscopic and LC-OCT diagnoses and evaluated LC-OCT features for each study lesion.

Results: A total of 303 lesions (173 BCCs and 130 non-BCCs) from 225 patients were included. For the differentiation of BCC from BCC imitators, the use of LC-OCT increased the diagnostic accuracy compared to clinical examination by 24% and compared to dermoscopy by 12%. For the discrimination of sBCC from other BCC subtypes, LC-OCT increased the diagnostic accuracy compared to clinical examination by 18% and compared to dermoscopy by 12%. The presence of lobule with millefeuille pattern was a significant feature for BCC diagnosis. Lobule shape and location allowed BCC subtype discrimination.

Conclusions: The accuracy of BCC diagnosis can be increased by at least 12% with the use of LC-OCT compared to clinical and dermoscopic examinations alone, both in terms of BCC differentiation from clinical/dermoscopic imitators and in terms of BCC-subtype discrimination. A diagnostic algorithm based on significant features for BCC diagnosis is proposed, for which further validation is required.

基底细胞癌的线场共聚焦光学相干断层扫描:诊断性能的回顾性研究。
介绍:线场共聚焦光学相干断层扫描(LC-OCT)是一种最新的无创体内皮肤成像技术。先前的研究描述了LC-OCT检查下基底细胞癌(BCC)的形态学标准。最近发表了LC-OCT诊断BCC的初步数据,但可能由于研究的局限性,与皮肤镜检查相比,LC-OCT诊断BCC的效果只有适度的改善。目的:本研究的主要目的是寻找LC-OCT的诊断性能参数,以区分BCC与临床/皮肤镜下的模拟物,并区分BCC亚型。另一个目标是提出一种简单、用户友好的诊断算法,该算法基于BCC及其模仿者领域最强大的LC-OCT特征。材料和方法:包括活检/切除前用LC-OCT设备成像的模棱两可的BCC病变。三名盲法组织病理学诊断的观察者回顾性制定临床、皮肤镜和LC-OCT诊断,并评估每个研究病变的LC-OCT特征。结果:225例患者共303个病变(173个bcc和130个非bcc)。对于BCC和BCC仿制品的鉴别,LC-OCT的使用比临床检查提高了24%的诊断准确性,比皮肤镜检查提高了12%。对于sBCC与其他BCC亚型的区分,LC-OCT的诊断准确率比临床检查提高了18%,比皮肤镜检查提高了12%。小叶呈千费叶型是BCC诊断的重要特征。小叶的形状和位置可以区分BCC亚型。结论:与单纯临床和皮肤镜检查相比,LC-OCT诊断BCC的准确性可提高至少12%,无论是在BCC与临床/皮肤镜模仿者的区分方面,还是在BCC亚型的区分方面。提出了一种基于显著特征的BCC诊断算法,该算法有待进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.70
自引率
8.70%
发文量
874
审稿时长
3-6 weeks
期刊介绍: The Journal of the European Academy of Dermatology and Venereology (JEADV) is a publication that focuses on dermatology and venereology. It covers various topics within these fields, including both clinical and basic science subjects. The journal publishes articles in different formats, such as editorials, review articles, practice articles, original papers, short reports, letters to the editor, features, and announcements from the European Academy of Dermatology and Venereology (EADV). The journal covers a wide range of keywords, including allergy, cancer, clinical medicine, cytokines, dermatology, drug reactions, hair disease, laser therapy, nail disease, oncology, skin cancer, skin disease, therapeutics, tumors, virus infections, and venereology. The JEADV is indexed and abstracted by various databases and resources, including Abstracts on Hygiene & Communicable Diseases, Academic Search, AgBiotech News & Information, Botanical Pesticides, CAB Abstracts®, Embase, Global Health, InfoTrac, Ingenta Select, MEDLINE/PubMed, Science Citation Index Expanded, and others.
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