This issue of Dermatologic Clinics, guest edited by Drs. Darrell S. Rigel and Aaron S. Farberg, is devoted to Non-Invasive Technologies for the Diagnosis of Skin Cancer. Articles in this issue include: Current state and issues of clinical inspection; Tele-dermatology applications in skin cancer diagnosis; Enhancing skin cancer diagnosis with dermoscopy; Mole Mapping for management of pigmented skin lesions; Temporal image comparison (Serial Imaging) in assessing pigmented lesions; Multispectral digital skin lesion imaging and analysis; Using reflectance confocal microscopy in skin cancer diagnosis; Optical Coherence Tomography in the diagnosis of skin cancer; Electrical impedance spectroscopy in skin cancer diagnosis; The use of Raman Spectroscopy to detect and diagnose skin cancer; Applying high frequency ultrasound in the diagnosis of skin cancer; Proteomic mass spectrometery imaging for skin cancer diagnosis; Assessing skin cancer using epidermal genetic information retrieved by tape stripping; Smartphone-based applications for skin monitoring and melanoma detection; Detection of aberrations in cellular DNA in diagnosis and assessment of skin cancer; Assessing genetic expression profiles in melanoma diagnosis; Assessing genetic expression profiles in melanoma prognosis; and Integrating skin cancer related technologies into clinical practice.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. Erratum - p. xiii 8. Preface - p. xv 9. Clinical Diagnosis of Skin Cancer: Enhancing Inspection and Early Recognition - p. 409 10. Enhancing Skin Cancer Diagnosis with Dermoscopy - p. 417 11. Mole Mapping for Management of Pigmented Skin Lesions - p. 439 12. Temporal Image Comparison (Serial Imaging) in Assessing Pigmented Lesions - p. 447 13. Noninvasive Technologies for the Diagnosis of Cutaneous Melanoma - p. 453 14. Using Reflectance Confocal Microscopy in Skin Cancer Diagnosis - p. 457 15. Optical Coherence Tomography in the Diagnosis of Skin Cancer - p. 465 16. Electrical Impedance Spectroscopy in Skin Cancer Diagnosis - p. 489 17. Using Raman Spectroscopy to Detect and Diagnose Skin Cancer In Vivo - p. 495 18. High-Frequency Ultrasound Examination in the Diagnosis of Skin Cancer - p. 505 19. Proteomic Mass Spectrometry Imaging for Skin Cancer Diagnosis - p. 513 20. Assessing Skin Cancer Using Epidermal Genetic Information Retrieved by Adhesive Patch Skin Surface Sampling - p. 521 21. Detection of Genetic Aberrations in the Assessment and Prognosis of Melanoma - p. 525 22. Assessing Genetic Expression Profiles in Melanoma Diagnosis - p. 537 23. Assessing Genetic Expression Profiles in Melanoma Prognosis - p. 545 24. Smartphone-Based Applications for Skin Monitoring and Melanoma Detection - p. 551 25. Teledermatology Applications in Skin Cancer Diagnosis - p. 559 26. Integrating Skin Cancer–Related Technologies into Clinical Practice - p. 565
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This issue of Dermatologic Clinics, guest edited by Drs. Darrell S. Rigel and Aaron S. Farberg, is devoted to Non-Invasive Technologies for the Diagnosis of Skin Cancer. Articles in this issue include: Current state and issues of clinical inspection; Tele-dermatology applications in skin cancer diagnosis; Enhancing skin cancer diagnosis with dermoscopy; Mole Mapping for management of pigmented skin lesions; Temporal image comparison (Serial Imaging) in assessing pigmented lesions; Multispectral digital skin lesion imaging and analysis; Using reflectance confocal microscopy in skin cancer diagnosis; Optical Coherence Tomography in the diagnosis of skin cancer; Electrical impedance spectroscopy in skin cancer diagnosis; The use of Raman Spectroscopy to detect and diagnose skin cancer; Applying high frequency ultrasound in the diagnosis of skin cancer; Proteomic mass spectrometery imaging for skin cancer diagnosis; Assessing skin cancer using epidermal genetic information retrieved by tape stripping; Smartphone-based applications for skin monitoring and melanoma detection; Detection of aberrations in cellular DNA in diagnosis and assessment of skin cancer; Assessing genetic expression profiles in melanoma diagnosis; Assessing genetic expression profiles in melanoma prognosis; and Integrating skin cancer related technologies into clinical practice.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. Erratum - p. xiii 8. Preface - p. xv 9. Clinical Diagnosis of Skin Cancer: Enhancing Inspection and Early Recognition - p. 409 10. Enhancing Skin Cancer Diagnosis with Dermoscopy - p. 417 11. Mole Mapping for Management of Pigmented Skin Lesions - p. 439 12. Temporal Image Comparison (Serial Imaging) in Assessing Pigmented Lesions - p. 447 13. Noninvasive Technologies for the Diagnosis of Cutaneous Melanoma - p. 453 14. Using Reflectance Confocal Microscopy in Skin Cancer Diagnosis - p. 457 15. Optical Coherence Tomography in the Diagnosis of Skin Cancer - p. 465 16. Electrical Impedance Spectroscopy in Skin Cancer Diagnosis - p. 489 17. Using Raman Spectroscopy to Detect and Diagnose Skin Cancer In Vivo - p. 495 18. High-Frequency Ultrasound Examination in the Diagnosis of Skin Cancer - p. 505 19. Proteomic Mass Spectrometry Imaging for Skin Cancer Diagnosis - p. 513 20. Assessing Skin Cancer Using Epidermal Genetic Information Retrieved by Adhesive Patch Skin Surface Sampling - p. 521 21. Detection of Genetic Aberrations in the Assessment and Prognosis of Melanoma - p. 525 22. Assessing Genetic Expression Profiles in Melanoma Diagnosis - p. 537 23. Assessing Genetic Expression Profiles in Melanoma Prognosis - p. 545 24. Smartphone-Based Applications for Skin Monitoring and Melanoma Detection - p. 551 25. Teledermatology Applications in Skin Cancer Diagnosis - p. 559 26. Integrating Skin Cancer–Related Technologies into Clinical Practice - p. 565
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