用于患者基底细胞癌三维可视化和描绘的光声成像。
Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients.
作者信息
Dahlstrand Ulf, Sheikh Rafi, Merdasa Aboma, Chakari Rehan, Persson Bertil, Cinthio Magnus, Erlöv Tobias, Gesslein Bodil, Malmsjö Malin
机构信息
Department of Clinical Sciences Lund, Ophthalmology, Skåne University Hospital, Lund University, Lund, Sweden.
Department of Dermatology, Skåne University Hospital, Lund, Sweden.
出版信息
Photoacoustics. 2020 May 5;18:100187. doi: 10.1016/j.pacs.2020.100187. eCollection 2020 Jun.
BACKGROUND
Photoacoustic (PA) imaging is an emerging non-invasive biomedical imaging modality that could potentially be used to determine the borders of basal cell carcinomas (BCC) preoperatively in order to reduce the need for repeated surgery.
METHODS
Two- and three-dimensional PA images were obtained by scanning BCCs using 59 wavelengths in the range 680-970 nm. Spectral unmixing was performed to visualize the tumor tissue distribution. Spectral signatures from 38 BCCs and healthy tissue were compared .
RESULTS AND DISCUSSION
The PA spectra could be used to differentiate between BCC and healthy tissue ( < 0.05). Spectral unmixing provided visualization of the overall architecture of the lesion and its border.
CONCLUSION
PA imaging can be used to differentiate between BCC and healthy tissue and can potentially be used to delineate tumors prior to surgical excision.
背景
光声（PA）成像是一种新兴的非侵入性生物医学成像方式，有可能用于在术前确定基底细胞癌（BCC）的边界，以减少重复手术的需求。
方法
使用680 - 970 nm范围内的59个波长扫描基底细胞癌，获得二维和三维光声图像。进行光谱解混以可视化肿瘤组织分布。比较了38个基底细胞癌和健康组织的光谱特征。
结果与讨论
光声光谱可用于区分基底细胞癌和健康组织（<0.05）。光谱解混提供了病变及其边界整体结构的可视化。
结论
光声成像可用于区分基底细胞癌和健康组织，并有可能在手术切除前描绘肿瘤。
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