Systematic review of diagnostic accuracy of reflectance confocal microscopy for melanoma diagnosis in patients with clinically equivocal skin lesions
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Summary
The utility of reflectance confocal microscopy (RCM) as an add-on test for the diagnosis of melanoma depends on the trade off between over-excising benign lesions and misdiagnosing melanoma as benign.
- Type
- article
- Published
- 2013-10-01
- Cited by
- 19
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W1969755213
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:263925386
Keywords
Medicine, Dermatology, Melanoma, Dermatoscopy, Diagnostic accuracy
References
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- The impact of in vivo reflectance confocal microscopy on the diagnostic accuracy of lentigo maligna and equivocal pigmented and nonpigmented macules of the face.
- Why perform dermoscopy? The evidence for its role in the routine management of pigmented skin lesions.
- Dermoscopy in black people
- The impact of in vivo reflectance confocal microscopy for the diagnostic accuracy of melanoma and equivocal melanocytic lesions.
- The Diagnostic Accuracy of in vivo Confocal Scanning Laser Microscopy Compared to Dermoscopy of Benign and Malignant Melanocytic Lesions: A Prospective Study
- An empirical comparison of methods for meta-analysis of diagnostic accuracy showed hierarchical models are necessary.
- Cutaneous malignant melanoma in Europe.
- When Is Measuring Sensitivity and Specificity Sufficient To Evaluate a Diagnostic Test, and When Do We Need Randomized Trials?
- In vivo confocal scanning laser microscopy of human skin: melanin provides strong contrast.
- In vivo reflectance confocal microscopy enhances secondary evaluation of melanocytic lesions.
- A 6 year prospective analysis of the diagnosis of malignant melanoma in a pigmented-lesion clinic: even the experts miss malignant melanomas, but not often.
- Instructions for authors (www.scielo.br/spmj)
Cited by
- Validation of a Skin-Lesion Image-Matching Algorithm Based on Computer Vision Technology
- A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin
- Reflectance Confocal Microscopy of Skin In Vivo: From Bench to Bedside
- Diagnostik und Therapie des Melanoms im Wandel der letzten 25 Jahre
- Automated video-mosaicking approach for confocal microscopic imaging in vivo: an approach to address challenges in imaging living tissue and extend field of view
- In vivo reflectance confocal microscopy image interpretation for the dermatopathologist
- The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
- Evaluating the Diagnostic Accuracy of Reflectance Confocal Microscopy to Diagnose Skin Cancer: Protocol for a Prospective, Multicenter Study
- BCN20000: Dermoscopic Lesions in the Wild
- Skin Cancer Classification using Random Forest
- Automating reflectance confocal microscopy image analysis for dermatological research: a review
- The Reporting and Methodological Quality of Systematic Reviews Underpinning Clinical Practice Guidelines Focused on the Management of Cutaneous Melanoma: Cross-Sectional Analysis
- Lentigo Maligna Treatment—An Update
- From Optical to Molecular Imaging on Human Skin: A Review
- Electromagnetic Techniques and Systems for Noninvasive Skin Cancer Detection and Classification: Current Status and Future Perspectives
- Melanoma Beyond the Microscope in the Era of AI and Integrated Diagnostics
- Evaluating the Diagnostic Accuracy of Reflectance Confocal Microscopy to Diagnose Skin Cancer: A Research Protocol (Preprint)
- Descriptor : The HAM 10000 dataset , a large collection of multi-source dermatoscopic images of common pigmented skin lesions
- The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
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