Open Access
22 February 2018 Optical coherence tomography for the diagnosis of malignant skin tumors: a meta-analysis
Yi-Quan Xiong, Yun Mo, Yu-Qi Wen, Ming-Ji Cheng, Shu-Ting Huo, Xue-Jiao Chen, Qing Chen
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Abstract
Optical coherence tomography (OCT) is an emergent imaging tool used for noninvasive diagnosis of skin diseases. The present meta-analysis was carried out to assess the accuracy of OCT for the diagnosis of skin cancer. We conducted a systematic literature search though EMBASE, Medline, PubMed, the Cochrane Library, and Web of Science database for relevant articles published up to June 6, 2017. The quality of the included studies was assessed using the QUADAS-2 tool and the Oxford Levels of Evidence Scale. Statistical analyses were conducted using the software Meta-Disc version 1.4 and STATA version 12.0. A total of 14 studies involving more than 813 patients with a total of 1958 lesions were included in our analyses. The pooled sensitivity and specificity of OCT for skin cancer diagnoses were 91.8% and 86.7%, respectively. Subgroup analysis showed that the pooled sensitivities of OCT for detecting basal cell carcinoma (BCC), squamous cell carcinoma (SCC), actinic keratosis, and malignant melanoma were 92.4%, 92.3%, 73.8%, and 81.0%, respectively. The pooled specificities were 86.9%, 99.5%, 91.5%, and 93.8%, respectively. OCT appears to be useful for the detection of BCC and SCC. It is a valuable diagnostic method when screening for early skin cancers.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2018/ $25.00 © 2018 SPIE
Yi-Quan Xiong, Yun Mo, Yu-Qi Wen, Ming-Ji Cheng, Shu-Ting Huo, Xue-Jiao Chen, and Qing Chen "Optical coherence tomography for the diagnosis of malignant skin tumors: a meta-analysis," Journal of Biomedical Optics 23(2), 020902 (22 February 2018). https://doi.org/10.1117/1.JBO.23.2.020902
Received: 6 August 2017; Accepted: 29 January 2018; Published: 22 February 2018
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Cited by 37 scholarly publications.
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KEYWORDS
Optical coherence tomography

Diagnostics

Skin

Tumors

Skin cancer

Statistical analysis

Melanoma

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