Sensitivity and specificity of confocal laser-scanning microscopy for in vivo diagnosis of malignant skin tumors
- PMID: 16615102
- DOI: 10.1002/cncr.21910
Sensitivity and specificity of confocal laser-scanning microscopy for in vivo diagnosis of malignant skin tumors
Abstract
Background: Melanoma and nonmelanoma skin cancer are the most frequent malignant tumors by far among whites. Currently, early diagnosis is the most efficient method for preventing a fatal outcome. In vivo confocal laser-scanning microscopy (CLSM) is a recently developed potential diagnostic tool.
Methods: One hundred seventeen melanocytic skin lesions and 45 nonmelanocytic skin lesions (90 benign nevi, 27 malignant melanomas, 15 basal cell carcinomas, and 30 seborrheic keratoses) were sampled consecutively and were examined using proprietary CLSM equipment. Stored images were rated by 4 independent observers.
Results: Differentiation between melanoma and all other lesions based solely on CLSM examination was achieved with a positive predictive value of 94.22%. Malignant lesions (melanoma and basal cell carcinoma) as a group were diagnosed with a positive predictive value of 96.34%. Assessment of distinct CLSM features showed a strong interobserver correlation (kappa >0.80 for 11 of 13 criteria). Classification and regression tree analysis yielded a 3-step algorithm based on only 3 criteria, facilitating a correct classification in 96.30% of melanomas, 98.89% of benign nevi, and 100% of basal cell carcinomas and seborrheic keratoses.
Conclusions: In vivo CLSM examination appeared to be a promising method for the noninvasive assessment of melanoma and nonmelanoma skin tumors.
Copyright 2006 American Cancer Society.
Similar articles
-
In vivo confocal laser scanning microscopy of melanocytic skin tumours: diagnostic applicability using unselected tumour images.Br J Dermatol. 2008 Feb;158(2):329-33. doi: 10.1111/j.1365-2133.2007.08389.x. Br J Dermatol. 2008. PMID: 18215250
-
Correlation of image analysis features and visual morphology in melanocytic skin tumours using in vivo confocal laser scanning microscopy.Skin Res Technol. 2009 May;15(2):237-41. doi: 10.1111/j.1600-0846.2009.00361.x. Skin Res Technol. 2009. PMID: 19622133
-
Discrimination of actinic keratoses from normal skin with reflectance mode confocal microscopy.Dermatol Surg. 2008 May;34(5):620-5. doi: 10.1111/j.1524-4725.2008.34195.x. Dermatol Surg. 2008. PMID: 18429925
-
In vivo confocal laser scanning microscopy in the diagnosis of melanocytic skin tumours.Br J Dermatol. 2009 Mar;160(3):475-81. doi: 10.1111/j.1365-2133.2008.08995.x. Epub 2009 Jan 10. Br J Dermatol. 2009. PMID: 19183178 Review.
-
Through the looking glass: Basics and principles of reflectance confocal microscopy.J Am Acad Dermatol. 2015 Aug;73(2):276-84. doi: 10.1016/j.jaad.2015.04.047. Epub 2015 Jun 4. J Am Acad Dermatol. 2015. PMID: 26051696 Review.
Cited by
-
[Modern diagnostic procedures in dermatological oncology].Pathologe. 2015 Feb;36(1):11-5. doi: 10.1007/s00292-014-2062-4. Pathologe. 2015. PMID: 25630484 Review. German.
-
[Ex vivo confocal laser scanning microscopy for melanocytic lesions and autoimmune diseases].Hautarzt. 2021 Dec;72(12):1058-1065. doi: 10.1007/s00105-021-04906-1. Epub 2021 Oct 27. Hautarzt. 2021. PMID: 34705067 Review. German.
-
Discrimination of normal and cancerous human skin tissues based on laser-induced spectral shift fluorescence microscopy.Sci Rep. 2022 Dec 3;12(1):20927. doi: 10.1038/s41598-022-25055-y. Sci Rep. 2022. PMID: 36463297 Free PMC article.
-
Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin.J Biomed Opt. 2011 Mar;16(3):036005. doi: 10.1117/1.3549740. J Biomed Opt. 2011. PMID: 21456869 Free PMC article.
-
Evaluating the Diagnostic Accuracy of Reflectance Confocal Microscopy to Diagnose Skin Cancer: Protocol for a Prospective, Multicenter Study.JMIR Res Protoc. 2018 Aug 9;7(8):e170. doi: 10.2196/resprot.9296. JMIR Res Protoc. 2018. PMID: 30093369 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical