Preoperative measurement of cutaneous melanoma and nevi thickness with photoacoustic imaging

Abstract. Photoacoustic imaging (PAI) is an emerging biomedical imaging technology, which can potentially be used in the clinic to preoperatively measure melanoma thickness and guide biopsy depth and sample location. We recruited 27 patients with pigmented cutaneous lesions suspicious for melanoma to test the feasibility of a handheld linear-array photoacoustic probe in imaging lesion architecture and measuring tumor depth. The probe was assessed in terms of measurement accuracy, image quality, and ease of application. Photoacoustic scans included single wavelength, spectral unmixing, and three-dimensional (3-D) scans. The photoacoustically measured lesion thickness gave a high correlation with the histological thickness measured from resected surgical samples (r=0.99, P<0.001 for melanomas, r=0.98, P<0.001 for nevi). Thickness measurements were possible for 23 of 26 cases for nevi and all (6) cases for melanoma. Our results show that handheld, linear-array PAI is highly reliable in measuring cutaneous lesion thickness in vivo, and can potentially be used to inform biopsy procedure and improve patient management.

[1]  Lihong V. Wang,et al.  Photoacoustic imaging in biomedicine , 2006 .

[2]  Feng Gao,et al.  In vivo molecular photoacoustic tomography of melanomas targeted by bioconjugated gold nanocages. , 2010, ACS nano.

[3]  A. Jerant,et al.  Early detection and treatment of skin cancer. , 2000, American family physician.

[4]  Rory Wolfe,et al.  The impact of partial biopsy on histopathologic diagnosis of cutaneous melanoma: experience of an Australian tertiary referral service. , 2010, Archives of dermatology.

[5]  Geng Ku,et al.  Noninvasive functional photoacoustic tomography of blood-oxygen saturation in the brain , 2004, SPIE BiOS.

[6]  Milind Rajadhyaksha,et al.  Differences between polarized light dermoscopy and immersion contact dermoscopy for the evaluation of skin lesions. , 2007, Archives of dermatology.

[7]  G. Giles,et al.  The management of primary cutaneous melanoma in Victoria in 1996 and 2000 , 2007, The Medical journal of Australia.

[8]  Liren Zhu,et al.  Handheld photoacoustic probe to detect both melanoma depth and volume at high speed in vivo , 2015, Journal of biophotonics.

[9]  T. Hieken,et al.  Accuracy of Diagnostic Biopsy for Cutaneous Melanoma: Implications for Surgical Oncologists , 2013, International journal of surgical oncology.

[10]  H. Norton,et al.  Method of Biopsy and Incidence of Positive Margins in Primary Melanoma , 2007, Annals of Surgical Oncology.

[11]  D. Ghazarian,et al.  Skin adnexal neoplasms—part 2: An approach to tumours of cutaneous sweat glands , 2006, Journal of Clinical Pathology.

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

[13]  B. Bastian,et al.  Preoperative characterization of pigmented skin lesions by epiluminescence microscopy and high-frequency ultrasound. , 1995, Archives of dermatology.

[14]  J. Malvehy,et al.  Development of a two-step method for the diagnosis of melanoma by reflectance confocal microscopy. , 2009, Journal of the American Academy of Dermatology.

[15]  OA Orzan,et al.  Controversies in the diagnosis and treatment of early cutaneous melanoma , 2015, Journal of medicine and life.

[16]  S. Lyle,et al.  The hair follicle barrier to involvement by malignant melanoma , 2009, Cancer.

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

[18]  Marilyn Noah White Paper : Imaging of Murine Tumors Using the Vevo ® LAZR Photoacoustic Imaging System , 2006 .

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

[20]  A. Needles,et al.  Development and initial application of a fully integrated photoacoustic micro-ultrasound system , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[21]  D. Xing,et al.  Toward in vivo biopsy of melanoma based on photoacoustic and ultrasound dual imaging with an integrated detector. , 2016, Biomedical optics express.

[22]  R. Webb,et al.  In vivo confocal scanning laser microscopy of human skin: melanin provides strong contrast. , 1995, The Journal of investigative dermatology.

[23]  T. Johnson Guidelines of care for the management of primary cutaneous melanoma. , 2013, Journal of the American Academy of Dermatology.

[24]  Jun Ma,et al.  Noninvasive Determination of Melanoma Depth using a Handheld Photoacoustic Probe. , 2017, The Journal of investigative dermatology.

[25]  Jung-Taek Oh,et al.  Three-dimensional imaging of skin melanoma in vivo by dual-wavelength photoacoustic microscopy. , 2006, Journal of biomedical optics.

[26]  Karsten König,et al.  Sensitivity and specificity of multiphoton laser tomography for in vivo and ex vivo diagnosis of malignant melanoma. , 2009, The Journal of investigative dermatology.

[27]  Pai-Chi Li,et al.  Cost-effective design of a concurrent photoacoustic-ultrasound microscope using single laser pulses , 2016, SPIE BiOS.

[28]  Bernard Querleux,et al.  Advances in MR imaging of the skin , 2006, NMR in biomedicine.

[29]  Jennifer L. Schwartz,et al.  Microstaging accuracy after subtotal incisional biopsy of cutaneous melanoma. , 2005, Journal of the American Academy of Dermatology.

[30]  Vasilis Ntziachristos,et al.  Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography , 2011, BiOS.

[31]  Thilo Gambichler,et al.  Characterization of benign and malignant melanocytic skin lesions using optical coherence tomography in vivo. , 2007, Journal of the American Academy of Dermatology.

[32]  A. Scott,et al.  Role of nuclear medicine in the management of cutaneous malignant melanoma. , 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[33]  Andrew Needles,et al.  Screening and quantification of the tumor microenvironment with micro-ultrasound and photoacoustic imaging , 2015, Nature Methods.