Reflectance confocal microscopy (RCM) is a technology utilized for bedside diagnosis of cutaneous pathology by non-invasive, in vivo, cellular-level imaging. With the recent establishment of reimbursement codes by the US Centers for Medicaid and Medicare Services, RCM is now likely to be employed by clinical dermatologists and impact decision making on skin cancer management. Dermatopathologists, therefore, would benefit from learning how to interpret RCM images and how RCM findings correlate with histopathological criteria of diagnosis. This review briefly explains the principles behind RCM image acquisition, describes the key RCM features of normal skin, and delineates the RCM characteristics of frequently observed benign and malignant neoplasms.benign neoplasms, confocal microscopy, melanoma, nonmelanoma skin cancers
| INTRODUCTIONThe most definitive diagnostic tool utilized by dermatologists in the assessment of skin lesions is a biopsy for histopathological microscopic analysis. However, the invasive nature of surgical biopsy engenders anxiety for some patients, can leave scars in cosmetically sensitive areas (e.g., the face and chest), and may have procedureassociated morbidity such as infection and delayed healing (e.g., on the lower extremities). To this end, reflectance confocal microscopy (RCM) offers non-invasive imaging of skin lesions at cellular-level magnification and resolution, and may facilitate curbing unnecessary Herein, we provide a succinct review of the principles of RCM imaging, describe key RCM terminology and delineate the fundamental RCM features of normal skin and neoplastic entities.
| BASIC PRINCIPLESRCM utilizes a low-energy laser light source that focuses on a specific area of tissue. Light is back-scattered from certain tissue structures at the focal point, and enters the detector through a small-aperture gating pinhole; only light from the focal point at the tissue will enter and produce an image, while light from nearby tissue ("out of focus") will not be able to enter the detector.