Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study
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Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies : A Pilot Study. / von Knorring, Terese; Møller Israelsen, Niels; Ung, Vilde; Formann, Julie L.; Jensen, Mikkel; Haedersdal, Merete; Bang, Ole; Fredman, Gabriella; Mogensen, Mette.
In: Acta Dermato-Venereologica, Vol. 102, adv00634, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies
T2 - A Pilot Study
AU - von Knorring, Terese
AU - Møller Israelsen, Niels
AU - Ung, Vilde
AU - Formann, Julie L.
AU - Jensen, Mikkel
AU - Haedersdal, Merete
AU - Bang, Ole
AU - Fredman, Gabriella
AU - Mogensen, Mette
N1 - Publisher Copyright: © 2022, Medical Journals/Acta D-V. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Rapid diagnosis of suspicious pigmented skin lesions is imperative; however, current bedside skin imaging technologies are either limited in penetration depth or resolution. Combining imaging methods is there-fore highly relevant for skin cancer diagnostics. This pilot study evaluated the ability of optical coherence tomography, reflectance confocal microscopy, photo-acoustic imaging and high-frequency ultrasound to differentiate malignant from benign pigmented skin lesions. A total of 41 pigmented skin tumours were scanned prior to excision. Morphological features and blood vessel characteristics were analysed with reflectance confocal microscopy, optical coherence tomography, high-frequency ultrasound and photoacoustic imaging images, and the diagnostic accuracy was assessed. Three novel photoacous-tic imaging features, 7 reflectance confocal microscopy features, and 2 optical coherence tomography features were detected that had a high correlation with malignancy; diagnostic accuracy > 71%. No significant features were found in high-frequency ultrasound. In conclusion, optical coherence tomo-graphy, reflectance confocal microscopy and pho-toacoustic imaging in combination enable image-guided bedside evaluation of suspicious pigmented skin tumours. Combining these advanced techniques may enable more efficient diagnosis of skin cancer.
AB - Rapid diagnosis of suspicious pigmented skin lesions is imperative; however, current bedside skin imaging technologies are either limited in penetration depth or resolution. Combining imaging methods is there-fore highly relevant for skin cancer diagnostics. This pilot study evaluated the ability of optical coherence tomography, reflectance confocal microscopy, photo-acoustic imaging and high-frequency ultrasound to differentiate malignant from benign pigmented skin lesions. A total of 41 pigmented skin tumours were scanned prior to excision. Morphological features and blood vessel characteristics were analysed with reflectance confocal microscopy, optical coherence tomography, high-frequency ultrasound and photoacoustic imaging images, and the diagnostic accuracy was assessed. Three novel photoacous-tic imaging features, 7 reflectance confocal microscopy features, and 2 optical coherence tomography features were detected that had a high correlation with malignancy; diagnostic accuracy > 71%. No significant features were found in high-frequency ultrasound. In conclusion, optical coherence tomo-graphy, reflectance confocal microscopy and pho-toacoustic imaging in combination enable image-guided bedside evaluation of suspicious pigmented skin tumours. Combining these advanced techniques may enable more efficient diagnosis of skin cancer.
KW - Angiography
KW - Confocal microscopy
KW - Diagnostic imaging
KW - Optical coherence tomography
KW - Photoacoustic techniques
KW - Pigmented skin neoplasm
U2 - 10.2340/actadv.v101.571
DO - 10.2340/actadv.v101.571
M3 - Journal article
C2 - 34806755
AN - SCOPUS:85123878130
VL - 102
JO - Acta Dermato-Venereologica
JF - Acta Dermato-Venereologica
SN - 0001-5555
M1 - adv00634
ER -
ID: 312694335