Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients

Summary, in English

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 ex vivo.

Results and discussion: The PA spectra could be used to differentiate between BCC and healthy tissue ex vivo (p < 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.

• Author: Ulf Dahlstrand; Rafi Sheikh; Aboma Merdasa; Rehan Chakari; Bertil Persson; Magnus Cinthio; Tobias Erlöv; Bodil Gesslein; Malin Malmsjö
• Department/s: Ophthalmology Imaging Research Group; Ophthalmology, Lund; Combustion Physics; Chemical Physics; Department of Biomedical Engineering; Clinical and experimental lung transplantation; NPWT technology
• Publishing year: 2020-06
• Language: English
• Publication/Series: Photoacoustics
• Volume: 18
• Links: http://dx.doi.org/10.1016/j.pacs.2020.100187
• Document type: Journal article
• Publisher: Elsevier
• Topic: Ophthalmology; Radiology, Nuclear Medicine and Medical Imaging
• Status: Published
• Research group: Ophthalmology Imaging Research Group; Clinical and experimental lung transplantation; NPWT technology
• ISBN/ISSN/Other: ISSN: 2213-5979