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OPINION article

Front. Oncol., 19 December 2019 | https://doi.org/10.3389/fonc.2019.01457

Reflectance Confocal Microscopy in Evaluating Skin Cancer: A Clinicians's Perspective

Angela Filoni1 and Mauro Alaibac2*
  • 1Melanoma and Soft Tissue Sarcoma Unit, Veneto Institute of Oncology, IOV-IRCCS, Padua, Italy
  • 2Unit of Dermatology, University of Padua, Padua, Italy

Reflectance confocal microscopy (RCM) is a optical imaging technique that affords an horizontal view of the skin until superficial dermis. RCM uses a laser light, at near infrared wavelength (830 nm), as a source of coherent monochromatic light which penetrates the tissue and illuminates a single point.

Microscopic tissue elements reflect light with different refractive indices resulting in white structures on a black background. Given the high reflective index of melanin and keratin this non-invasive imaging tool can have an important application in the diagnosis of skin cancer. Though an “optical biopsy” allows physicians to visualize the skin lesion to a depth of 200 microns with subcellular resolution, improving diagnostic accuracy of dermoscopic equivocal cutaneous lesions (1).

If combined with clinical and dermoscopic diagnosis, RCM can enhance the accuracy of differentiating between benign and malignant skin neoplasms (2). RCM can improve early malignant melanoma diagnosis and can be a valuable method for the monitoring of skin lesions over time, reducing the number of unnecessary excisions, in particular in cases of cosmetically important areas, such as the face or the neck.

Despite its utility in skin cancer diagnosis the diffusion of RCM in clinical practice is circumscribed mainly around academic medical centers. Moreover, the daily use of RCM is limited by its cost and knowledge gap amongst dermatologist (3).

Before performing RCM at a safe level physicians need a dedicated training, that is not available although the numerous publications in literature about this topic (4).

Farnetani et al. (5) showed that accuracy in skin cancer recognition correlated directly with the expertise of the evaluator; as a matter of fact experienced RCM users had higher sensitivity than more novice RCM users (91.0 vs. 84.8%).

In RCM the images are in gray scale and the interpretation of RCM skin images requires specific knowledge of histomorphological features rather than direct translation of clinical and dermoscopic skills. Consequently, this makes RCM difficult to perform in a routine clinical setting.

Unlike dermoscopy, which has rapidly spread as a screening technique among dermatologists of all generations, currently RCM is rarely used outside teaching hospitals. Dermoscopy is based on the description of colors and structures, whereas RCM morphologic features are similar to those observed within a diagnostic pathology setting (Figure 1). Moreover, RCM-specific vocabulary and architectural features overlap with the diagnostic terminology used in histopathology that is different from that of clinical dermatology, for example cells types are identified through their morphology (polygonal, round, etc.) or their distribution pattern (nest, clustered, pagetoid) (6).

FIGURE 1
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Figure 1. Lesion of the right leg of a 43 years old woman; histopathologic analysis revealed melanoma, focally invasive with a Breslow thickness of 0.41 mm. Confocal examination (Vivascope® 1500) shows papillae that are not always well-defined and the presence of some dendritic pagetoid cells (arrow). This image indicates how the diagnosis is based on the histomorphology of the skin tissue and not on the clinical features of the lesion.

Also images visualization is more pertinent to the dermatopathology since in RCM there is an acquisition both in planes oriented parallel to the skin surface and both in depth through stack of images.

The above considerations indicate that RCM, in our opinion, may reach more widespread acceptance and utilization among pathologists/dermatopathologists rather than clinical dermatologists. To this regard, a recent article (7) reports a case series where prebiopsy examination with RCM improved the reliability of histopathological diagnosis allowing for a critical appraisal of initial histopathological misdiagnosis. The pathologist also plays a key role in a new emerging imaging technique that this is ex vivo confocal microscopy; this new technique allows real-time microscopic examination of freshly excised cutaneous tissues. This technology has been introduced in Mohs dermatologic surgery in particular for the evaluation of the surgical margins of basal cell carcinomas but shows a possible application in breast and brain surgery. Ex vivo confocal microscopy could save two-thirds of processing time compared with conventional analysis of Mohs surgery, as processing and sectioning times are eliminated. Moreover, the procedure does not impair further histopathology evaluation on frozen or paraffin sections.

In conclusion, we believe that both in vivo and ex vivo RCM should primarily be used to assist pathologists/dermatopathologists in the classical histopatological and immunohistochemical diagnosis of skin cancer and, consequently, should not be considered a clinical tool for dermatologists.

Author Contributions

AF and MA wrote the manuscript. The final version of the manuscript was approved by all coauthors.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Ahlgrimm-Siess V, Laimer M, Rabinovitz HS, Oliviero M, Hofmann-Wellenhof R, Marghoob AA, et al. Confocal microscopy in skin cancer. Curr Dermatol Rep. (2018) 7:105–18. doi: 10.1007/s13671-018-0218-9

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Farnetani F, Manfredini M, Chester J, Ciardo S, Gonzalez S, Pellacani G. Reflectance confocal microscopy in the diagnosis of pigmented macules of the face: differential diagnosis and margin definition. Photochem Photobiol Sci. (2019) 18:963–9. doi: 10.1039/C8PP00525G

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Pellacani G, Scope A, Gonzalez S, Guitera P, Farnetani F, Malvehy J, et al. Reflectance confocal microscopy made easy: the 4 must-know key features for the diagnosis of melanoma and nonmelanoma skin cancers. J Am Acad Dermatol. (2019) 81:520–6. doi: 10.1016/j.jaad.2019.03.085

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Witkowski A, Łudzik J, Soyer HP. Telediagnosis with confocal microscopy: a reality or a dream? Dermatol Clin. (2016) 34:505–12. doi: 10.1016/j.det.2016.05.013

CrossRef Full Text | Google Scholar

5. Farnetani F, Scope A, Braun RP, Gonzalez S, Guitera P, Malvehy J, et al. Skin cancer diagnosis with reflectance confocal microscopy: reproducibility of feature recognition and accuracy of diagnosis. JAMA Dermatol. (2015) 151:1075–80. doi: 10.1001/jamadermatol.2015.0810

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Shahriari N, Grant-Kels JM, Rabinovitz H, Oliviero M, Scope A. In vivo reflectance confocal microscopy image interpretation for the dermatopathologist. J Cutan Pathol. (2018) 45:187–97. doi: 10.1111/cup.13084

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Shahriari N, Grant-Kels JM, Rabinovitz H, Oliviero M, Scope A. Reflectance confocal microscopy may enhance the accuracy of histopathologic diagnosis: a case series. J Cutan Pathol. (2019) 46:830–8. doi: 10.1111/cup.13548

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: reflectance confocal microscopy, dermatology, histopathology, skin cancer, non-invasive skin imaging, diagnosis

Citation: Filoni A and Alaibac M (2019) Reflectance Confocal Microscopy in Evaluating Skin Cancer: A Clinicians's Perspective. Front. Oncol. 9:1457. doi: 10.3389/fonc.2019.01457

Received: 19 September 2019; Accepted: 05 December 2019;
Published: 19 December 2019.

Edited by:

Sebastian Cerdan, Spanish National Research Council (CSIC), Spain

Reviewed by:

Valeria Righi, University of Bologna, Italy

Copyright © 2019 Filoni and Alaibac. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mauro Alaibac, mauro.alaibac@unipd.it