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

Ulf Dahlstrand; Rafi Sheikh; Aboma Merdasa; Rehan Chakari; Bertil Persson; Magnus Cinthio; Tobias Erlöv; Bodil Gesslein; Malin Malmsjö

doi:10.1016/j.pacs.2020.100187

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

Ulf Dahlstrand, Rafi Sheikh, Aboma Merdasa, Rehan Chakari, Bertil Persson, Magnus Cinthio, Tobias Erlöv, Bodil Gesslein, Malin Malmsjö

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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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.

Originalspråk	engelska
Artikelnummer	100187
Tidskrift	Photoacoustics
Volym	18
DOI	https://doi.org/10.1016/j.pacs.2020.100187
Status	Published - 2020 juni

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title = "Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients",

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 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 and Rafi Sheikh and Aboma Merdasa and Rehan Chakari and Bertil Persson and Magnus Cinthio and Tobias Erl{\"o}v and Bodil Gesslein and Malin Malmsj{\"o}",

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year = "2020",

month = jun,

doi = "10.1016/j.pacs.2020.100187",

language = "English",

volume = "18",

journal = "Photoacoustics",

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TY - JOUR

T1 - Photoacoustic imaging for three-dimensional visualization and delineation of basal cell carcinoma in patients

AU - Dahlstrand, Ulf

AU - Sheikh, Rafi

AU - Merdasa, Aboma

AU - Chakari, Rehan

AU - Persson, Bertil

AU - Cinthio, Magnus

AU - Erlöv, Tobias

AU - Gesslein, Bodil

AU - Malmsjö, Malin

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

U2 - 10.1016/j.pacs.2020.100187

DO - 10.1016/j.pacs.2020.100187

M3 - Article

C2 - 32461885

VL - 18

JO - Photoacoustics

JF - Photoacoustics

SN - 2213-5979

M1 - 100187

ER -

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

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