Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients
(2020) In Photoacoustics 18.- Abstract
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... (More)
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.
(Less)
- author
- Dahlstrand, Ulf
LU
; Sheikh, Rafi
LU
; Merdasa, Aboma LU ; Chakari, Rehan ; Persson, Bertil LU ; Cinthio, Magnus LU ; Erlöv, Tobias LU ; Gesslein, Bodil LU and Malmsjö, Malin LU
- organization
- publishing date
- 2020-06
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Photoacoustics
- volume
- 18
- article number
- 100187
- publisher
- Elsevier
- external identifiers
-
- scopus:85084837545
- pmid:32461885
- ISSN
- 2213-5979
- DOI
- 10.1016/j.pacs.2020.100187
- language
- English
- LU publication?
- yes
- additional info
- © 2020 The Author(s).
- id
- 37952f09-2b86-44c4-a190-ff57f33356ca
- date added to LUP
- 2020-06-04 16:53:42
- date last changed
- 2024-09-04 22:33:10
@article{37952f09-2b86-44c4-a190-ff57f33356ca, abstract = {{<p>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.</p><p>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.</p><p>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.</p><p>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.</p>}}, author = {{Dahlstrand, Ulf and Sheikh, Rafi and Merdasa, Aboma and Chakari, Rehan and Persson, Bertil and Cinthio, Magnus and Erlöv, Tobias and Gesslein, Bodil and Malmsjö, Malin}}, issn = {{2213-5979}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Photoacoustics}}, title = {{Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients}}, url = {{http://dx.doi.org/10.1016/j.pacs.2020.100187}}, doi = {{10.1016/j.pacs.2020.100187}}, volume = {{18}}, year = {{2020}}, }