Use of in vivo confocal microscopy in malignant melanoma: an aid in diagnosis and assessment of surgical and nonsurgical therapeutic approaches.

Arch Dermatol

Department of Dermatology, the Cutaneous Oncology Program, and the Division of Hematology/Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.

Published: September 2004

AI Article Synopsis

  • Melanomas with poorly defined borders and other challenging characteristics often require multiple surgeries for effective treatment.
  • The use of reflectance mode confocal microscopy has emerged as a promising noninvasive diagnostic tool for accurately identifying pigmented lesions.
  • In clinical cases, confocal microscopy not only aided in the diagnosis and treatment monitoring of amelanotic melanoma but also helped establish clear surgical margins in locally recurrent and lentigo maligna melanomas.

Article Abstract

Background: Melanomas with poorly defined borders, lack of pigmentation, lentiginous extension, and location in cosmetically sensitive regions represent diagnostic and therapeutic challenges. Repeated surgical reexcisions are frequently required to achieve tumor-free margins. The use of reflectance mode confocal microscopy as an noninvasive method has shown to be a promising tool for diagnosing pigmented lesions in vivo.

Observations: We report 3 clinical cases of melanoma: amelanotic melanoma (case 1), locally recurrent melanoma (case 2), and lentigo maligna melanoma (case 3). In case 1, in vivo confocal microscopy was instrumental in making the diagnosis and in monitoring the response to imiquimod therapy for in situ residual disease. It was also used to successfully delineate preoperative surgical margins in cases 2 and 3.

Conclusion: As new methods for treating melanoma emerge and become more available, confocal microscopy can play a significant role by improving sensitivity in diagnosis, by increasing rates of successful initial excision, and by serving as a noninvasive means of monitoring therapy.

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Source
http://dx.doi.org/10.1001/archderm.140.9.1127DOI Listing

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