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

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 (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.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Photoacoustics
volume
18
article number
100187
publisher
Elsevier GmbH
external identifiers
  • pmid:32461885
  • scopus:85084837545
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
2021-03-03 02:46:23
@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 &lt; 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 GmbH},
  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},
}