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光体积描记术在皮肤鳞状细胞癌中的空间分析。

Spatial analysis of photoplethysmography in cutaneous squamous cell carcinoma.

机构信息

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

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

出版信息

Sci Rep. 2022 May 5;12(1):7318. doi: 10.1038/s41598-022-10924-3.

Abstract

The primary treatment of the common malignancy squamous cell carcinoma is surgical removal. In this process, sufficient tissue removal is balanced against unnecessary mutilation. We recently presented a remote photoplethysmography algorithm, which revealed significant differences between processed video recordings of cancer biopsy areas and surrounding tissue. The aim of this study was to investigate whether spatial analyses of photoplethysmography data correlate with post-excision pathological analyses and thus have potential to assist in tumour delineation. Based on high speed video recordings of 11 patients with squamous cell carcinoma, we examined different parameters derived from temporal remote photoplethysmography variations. Signal characteristics values in sites matching histological sections were compared with pathological measures. Values were ranked and statistically tested with a Kendall correlation analysis. A moderate, negative correlation was found between signal oscillations and the width and transversal area of squamous cell carcinoma in the frequencies below 1 Hz and specifically from 0.02 to 0.15 Hz. We have presented a correlation between frequency content and prevalence of cancer based on regular video recordings of squamous cell carcinoma. We believe this is supported by published findings on malignant melanoma. Our findings indicate that photoplethysmography can be used to distinguish SCC from healthy skin.

摘要

常见恶性肿瘤鳞状细胞癌的主要治疗方法是手术切除。在这个过程中,需要在充分切除组织与不必要的残缺之间取得平衡。我们最近提出了一种远程光体积描记算法,该算法揭示了癌症活检区域和周围组织的处理视频记录之间存在显著差异。本研究旨在探讨光体积描记数据的空间分析是否与切除后的病理分析相关,从而有可能辅助肿瘤边界的划定。基于 11 名鳞状细胞癌患者的高速视频记录,我们检查了来自时间远程光体积描记变化的不同参数。将与组织学切片匹配的部位的信号特征值与病理测量值进行了比较。对数值进行了排序,并通过 Kendall 相关性分析进行了统计学检验。在低于 1 Hz 的频率下,特别是在 0.02 至 0.15 Hz 的频率下,发现信号振荡与鳞状细胞癌的宽度和横截面积之间存在中度负相关。我们基于鳞状细胞癌的常规视频记录呈现了基于频率内容与癌症流行之间的相关性。我们认为这得到了恶性黑色素瘤的相关研究结果的支持。我们的研究结果表明,光体积描记术可用于区分 SCC 与健康皮肤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b44/9072381/20a79960da10/41598_2022_10924_Fig1_HTML.jpg

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