Assessment of cutaneous melanoma and pigmented skin lesions with photoacoustic imaging

Melanoma is the most dangerous form of skin cancer and is the most difficult to diagnose and stage. Knowing the thickness of melanoma and its level of invasion into cutaneous tissue is the most important factor [1, 2] in determining a patient’s prognosis [3, 4]. Detection of melanoma is typically done by clinical inspection of lesion morphology, followed by lesion excision and histological assessment of the resected specimen. To improve assessment and diagnosis of melanoma and other pigmented lesions, various non-invasive imaging techniques, including photoacoustic (PA) imaging, have been investigated. PA imaging is a non-invasive imaging modality which combines laser light with ultrasound, and can be used to image pigmented skin lesion morphology [5-7] due the high absorption of melanin in the visible and near-infrared wavelength rage. In this study we investigate the clinical usefulness of PA imaging in diagnosing and assessing pigmented skin lesions such as melanoma and melanocytic nevi. Pre-operative PA images of patients with suspected cases of cutaneous melanoma were taken with the Vevo Lazr® 2100 PA imaging system at several wavelengths. The distribution and maximum thickness of suspect lesions was determined by imaging at 700 nm, and the surrounding vasculature was imaged at 900 nm. Information obtained from the PA images was compared with histological examination of resected surgical specimens.

[1]  Sheila MacNeil,et al.  State of the art in non‐invasive imaging of cutaneous melanoma , 2011, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[2]  W. Bergman,et al.  Impact of dermoscopy on the management of high-risk patients from melanoma families: a prospective study. , 2011, Acta dermato-venereologica.

[3]  A. Bell On the production and reproduction of sound by light , 1880, American Journal of Science.

[4]  Lihong V. Wang,et al.  Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging , 2006, Nature Biotechnology.

[5]  F. Amzica,et al.  Ultrasonographic staging of cutaneous malignant tumors: an ultrasonographic depth index , 2013, Archives of Dermatological Research.

[6]  Harold S Rabinovitz,et al.  Dermoscopy of pigmented seborrheic keratosis: a morphological study. , 2002, Archives of dermatology.

[7]  Lihong V. Wang,et al.  In vivo photoacoustic microscopy of human cutaneous microvasculature and a nevus. , 2011, Journal of biomedical optics.

[8]  S. Menzies,et al.  Melanoma histological Breslow thickness predicted by 75‐MHz ultrasonography , 2008, The British journal of dermatology.

[9]  S Manohar,et al.  First experiences of photoacoustic imaging for detection of melanoma metastases in resected human lymph nodes , 2012, Lasers in surgery and medicine.

[10]  Lihong V Wang,et al.  Photoacoustic tomography and sensing in biomedicine , 2009, Physics in medicine and biology.

[11]  Lihong V. Wang,et al.  Prospects of photoacoustic tomography. , 2008, Medical physics.

[12]  Xu Xiao Photoacoustic imaging in biomedicine , 2008 .

[13]  S. Gambhir,et al.  Light in and sound out: emerging translational strategies for photoacoustic imaging. , 2014, Cancer research.

[14]  A Breslow,et al.  Thickness, Cross‐Sectional Areas and Depth of Invasion in the Prognosis of Cutaneous Melanoma , 1970, Annals of surgery.

[15]  Radu Badea,et al.  Diagnosis and characterization of cutaneous tumors using combined ultrasonographic procedures (conventional and high resolution ultrasonography). , 2010, Medical ultrasonography.

[16]  H. Soyer,et al.  Influence of skin tension and formalin fixation on sonographic measurement of tumor thickness. , 1996, Journal of the American Academy of Dermatology.