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光体积描记术用于划定皮肤鳞状细胞癌边界。

Photoplethysmography for demarcation of cutaneous squamous cell carcinoma.

机构信息

Department of Otolaryngology at the Southdanish University Hospital, 7100, Vejle, Denmark.

Department of Electrical and Computer Engineering, Aarhus University, 8000, Aarhus N, Denmark.

出版信息

Sci Rep. 2021 Nov 2;11(1):21467. doi: 10.1038/s41598-021-00645-4.

DOI:10.1038/s41598-021-00645-4
PMID:34728637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8563950/
Abstract

A video processing algorithm designed to identify cancer suspicious skin areas is presented here. It is based on video recordings of squamous cell carcinoma in the skin. Squamous cell carcinoma is a common malignancy, normally treated by surgical removal. The surgeon should always balance sufficient tissue removal against unnecessary mutilation, and therefore methods for distinction of cancer boundaries are wanted. Squamous cell carcinoma has angiogenesis and increased blood supply. Remote photoplethysmography is an evolving technique for analysis of signal variations in video recordings in order to extract vital signs such as pulsation. We hypothesize that the remote photoplethysmography signal inside the area of a squamous cell carcinoma is significantly different from the surrounding healthy skin. Based on high speed video recordings of 13 patients with squamous cell carcinoma, we have examined temporal signal differences in cancer areas versus healthy skin areas. A significant difference in temporal signal changes between cancer areas and healthy areas was found. Our video processing algorithm showed promising results encouraging further investigation to clarify how detailed distinctions can be made.

摘要

这里提出了一种用于识别可疑皮肤癌区域的视频处理算法。它基于皮肤鳞状细胞癌的视频记录。鳞状细胞癌是一种常见的恶性肿瘤，通常通过手术切除治疗。外科医生应始终在足够的组织切除和不必要的畸形之间取得平衡，因此需要区分癌症边界的方法。鳞状细胞癌有血管生成和血液供应增加。远程光体积描记术是一种用于分析视频记录中信号变化以提取脉动等生命体征的新兴技术。我们假设在鳞状细胞癌区域内的远程光体积描记术信号与周围健康皮肤有显著差异。基于 13 名鳞状细胞癌患者的高速视频记录，我们检查了癌症区域与健康皮肤区域之间的时间信号差异。发现癌症区域和健康区域之间的时间信号变化存在显著差异。我们的视频处理算法取得了有希望的结果，鼓励进一步研究以阐明如何进行更详细的区分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/4bae611ad357/41598_2021_645_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/76719a18ed47/41598_2021_645_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/3df259e9abd9/41598_2021_645_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/a7b86a7f8c10/41598_2021_645_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/4bae611ad357/41598_2021_645_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/76719a18ed47/41598_2021_645_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/e32d5bb3fcb1/41598_2021_645_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/ef53d95f8f84/41598_2021_645_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/3c384ca507d4/41598_2021_645_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/3df259e9abd9/41598_2021_645_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/a7b86a7f8c10/41598_2021_645_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9157/8563950/4bae611ad357/41598_2021_645_Fig7_HTML.jpg

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