Hyperspectral Imaging of Melanocytic Lesions

Abstract:Hyperspectral imaging (HSI) allows the identification of objects through the analysis of their unique spectral signatures. Although first developed many years ago for use in terrestrial remote sensing, this technology has more recently been studied for application in the medical field. With preliminary data favoring a role for HSI in distinguishing normal and lesional skin tissues, we sought to investigate the potential use of HSI as a diagnostic aid in the classification of atypical Spitzoid neoplasms, a group of lesions that often leave dermatopathologists bewildered. One hundred and two hematoxylin and eosin-stained tissue samples were divided into 1 of 4 diagnostic categories (Spitz nevus, Spitz nevus with unusual features, atypical Spitzoid neoplasm, and Spitzoid malignant melanoma) and 1 of 2 control groups (benign melanocytic nevus and malignant melanoma). A region of interest was selected from the dermal component of each sample, thereby maximizing the examination of melanocytes. Tissue samples were examined at ×400 magnification using a spectroscopy system interfaced with a light microscope. The absorbance patterns of wavelengths from 385 to 880 nm were measured and then analyzed within and among groups. All tissue groups demonstrated 3 common absorbance spectra at 496, 533, and 838 nm. Each sample group contained at least one absorption point that was unique to that group. The Spitzoid malignant melanoma category had the highest number of total and unique absorption points for any sample group. The data were then clustered into 12 representative spectral classes. Although each of the sample groups contained all 12 spectral vectors, they did so in differing proportions. These preliminary results reveal differences in the spectral signatures of the Spitzoid lesions examined in this study. Further investigation into a role for HSI in classifying atypical Spitzoid neoplasms is encouraged.

[1]  P. Sajda,et al.  In vivo snapshot hyperspectral image analysis of age-related macular degeneration , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[2]  P. Meltzer,et al.  High frequency of BRAF mutations in nevi , 2003, Nature Genetics.

[3]  K. Schomacker,et al.  Assessing diabetic foot ulcer development risk with hyperspectral tissue oximetry. , 2011, Journal of biomedical optics.

[4]  José M Medina,et al.  Hyperspectral optical imaging of human iris in vivo: characteristics of reflectance spectra. , 2011, Journal of biomedical optics.

[5]  E. Thorland,et al.  Malignant melanoma in the 21st century: the emerging molecular landscape. , 2008, Mayo Clinic proceedings.

[6]  D. Faller,et al.  Medical hyperspectral imaging to facilitate residual tumor identification during surgery , 2007, Cancer biology & therapy.

[7]  M. Mihm,et al.  Atypical Spitz nevi/tumors: lack of consensus for diagnosis, discrimination from melanoma, and prediction of outcome. , 1999, Human pathology.

[8]  K. Schomacker,et al.  Monitoring temporal development and healing of diabetic foot ulceration using hyperspectral imaging , 2011, Journal of biophotonics.

[9]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[10]  D. Pinkel,et al.  Molecular cytogenetic analysis of Spitz nevi shows clear differences to melanoma. , 1999, The Journal of investigative dermatology.

[11]  Y. Kosugi,et al.  Cancer detection using infrared hyperspectral imaging , 2011, Cancer science.

[12]  P. Ascierto,et al.  Main roads to melanoma , 2009, Journal of Translational Medicine.

[13]  D. Elder,et al.  Differentiation of normal skin and melanoma using high resolution hyperspectral imaging , 2006, Cancer biology & therapy.

[14]  J. Chin,et al.  Evaluation of hyperspectral technology for assessing the presence and severity of peripheral artery disease. , 2011, Journal of vascular surgery.

[15]  N. Ibrahim,et al.  Molecular pathogenesis of cutaneous melanocytic neoplasms. , 2009, Annual review of pathology.

[16]  P. Guldberg,et al.  Genetic risk factors for melanoma , 2009, Human Genetics.

[17]  S. Lodha,et al.  Discordance in the histopathologic diagnosis of difficult melanocytic neoplasms in the clinical setting , 2008, Journal of cutaneous pathology.

[18]  Roger Ellwood,et al.  Near-infrared hyperspectral imaging of teeth for dental caries detection. , 2009, Journal of biomedical optics.

[19]  Paul Geladi,et al.  Characterisation of non-viable whole barley, wheat and sorghum grains using near-infrared hyperspectral data and chemometrics , 2011, Analytical and bioanalytical chemistry.

[20]  Tuan Vo-Dinh,et al.  Development of an Advanced Hyperspectral Imaging (HSI) System with Applications for Cancer Detection , 2006, Annals of Biomedical Engineering.

[21]  A. Siddiqi,et al.  Use of hyperspectral imaging to distinguish normal, precancerous, and cancerous cells , 2008, Cancer.

[22]  E. Livingston,et al.  Intraoperative bile duct visualization using near-infrared hyperspectral video imaging. , 2008, American Journal of Surgery.

[23]  M. Kashani-Sabet,et al.  Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center. , 2010, Journal of the American Academy of Dermatology.

[24]  Amani A. Fawzi,et al.  Imaging Characteristics of Dry Age-Related Macular Degeneration , 2011, Seminars in ophthalmology.

[25]  José Manuel Amigo,et al.  Fast assessment of the surface distribution of API and excipients in tablets using NIR-hyperspectral imaging. , 2011, International journal of pharmaceutics.

[26]  Daniel W. Wilson,et al.  Snapshot hyperspectral imaging in ophthalmology. , 2007, Journal of biomedical optics.

[27]  D. Ferris,et al.  Multimodal Hyperspectral Imaging for the Noninvasive Diagnosis of Cervical Neoplasia , 2001, Journal of lower genital tract disease.

[28]  Aksone Nouvong,et al.  Hyperspectral Imaging in Diabetic Foot Wound Care , 2010, Journal of diabetes science and technology.

[29]  Abhas Thapa,et al.  Minimal arterial in-flow protects renal oxygenation and function during porcine partial nephrectomy: confirmation by hyperspectral imaging. , 2011, Urology.

[30]  P E Stanga,et al.  High-resolution hyperspectral imaging of the retina with a modified fundus camera. , 2010, Journal francais d'ophtalmologie.

[31]  D. Pinkel,et al.  Mutations and copy number increase of HRAS in Spitz nevi with distinctive histopathological features. , 2000, The American journal of pathology.

[32]  Jeremy Lerner,et al.  Hyperspectral imaging: A non-invasive method of imaging melanoma lesions in a patient with stage IV melanoma, being treated with a RAF inhibitor , 2011, Cancer biology & therapy.

[33]  A. Klaasen,et al.  HRAS-mutated Spitz Tumors: A Subtype of Spitz Tumors With Distinct Features , 2010, The American journal of surgical pathology.

[34]  M. van de Rijn,et al.  High-Resolution Array-Based Comparative Genomic Hybridization for Distinguishing Paraffin-Embedded Spitz Nevi and Melanomas , 2004, Diagnostic molecular pathology : the American journal of surgical pathology, part B.

[35]  Daniel Pinkel,et al.  Classifying melanocytic tumors based on DNA copy number changes. , 2003, The American journal of pathology.

[36]  J. Cadeddu,et al.  Assessment of renal oxygenation during partial nephrectomy using hyperspectral imaging. , 2010, Journal of Urology.

[37]  Richard M Caprioli,et al.  Imaging Mass Spectrometry—A New and Promising Method to Differentiate Spitz Nevi From Spitzoid Malignant Melanomas , 2012, The American Journal of dermatopathology.

[38]  Karsten Heia,et al.  Automatic nematode detection in cod fillets (Gadus morhua) by transillumination hyperspectral imaging. , 2011, Journal of food science.

[39]  Ute Beyer,et al.  Remote Sensing And Image Interpretation , 2016 .