Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study
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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.
|Status||Udgivet - 2022|
Thanks to technical engineers Mads Frederik Hansen and Christian Stenvang Thomsen at the Technical University of Denmark for helpful figures and analysis relating to OCT data. Funding statement. iThera photoacoustic system was generously provided for a 2-week period March 2020 by the company without constraints. Funding from the Vissing Foundation, Denmark and the Alex Muusfeldt Foundation, Denmark supported rental of imaging equipment. The Vivosight OCT system and the DTU Fotonik system were funded by Innovation Fund Denmark through project ShapeOCT (number 4107-00011B). Author MM’s salary was partly funded by The Research Foundation of Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
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