Abstract
No consensus guidelines exist on the use of optical coherence tomography (OCT) for diagnosis of cutaneous melanoma. The objectives of this review are to provide a descriptive review of the literature on characteristics of cutaneous melanomas seen on high-definition OCT (HD-OCT), speckle variance OCT (SV-OCT), and conventional OCT and to compare their diagnostic ability with that of histopathology. A review of PubMed and Google Scholar identified all available literature on OCT in melanoma skin cancer that included all in vivo and ex vivo studies on human or human tissues and excluded all studies on non-human subjects or animal studies. Two hundred nine abstracts were considered for evaluation, 31 abstracts were selected for manuscript review, and 14 abstracts were included that met all criteria. Diagnoses of MIS and MM using HD-OCT and SV-OCT were consistently reported to correlate with histopathology. However, accuracy of diagnosis using conventional OCT varied. Most authors agreed that it was difficult to differentiate MM from benign nevi using conventional OCT. HD-OCT, SV-OCT, and conventional OCT show promise for visualizing cutaneous melanoma. The use of OCT in diagnosis of melanoma is rarely reported in the literature. There is a need to increase and standardize reporting of OCT for diagnosis of cutaneous melanoma.
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Introduction
The Centers for Disease Control and Prevention (CDC) estimated the melanoma incidence rate at 19.7 per 100,000 individuals living in the USA and projects an increase in incidence for white males and females through 2019 [1]. According to the Surveillance, Epidemiology, and End Results (SEER) program, new melanoma cases have risen 1.5% each year over the past 10 years and are estimated to comprise 5.4% of all new cancer cases in the USA in 2018 [2].
To date, biopsy and subsequent histologic examination by either whole slide imaging or traditional microscopy have been the gold standard for definitive diagnosis of melanoma [3]. However, biopsy has potential complications such as hypersensitivity to anesthetic, bleeding, scarring, and infection secondary to the invasive procedure [4]. To date, noninvasive imaging techniques have been developed to improve the diagnostic accuracy and sensitivity for skin tumors. In vivo assessment of skin offered through noninvasive imaging allows for a view of skin devoid of iatrogenic trauma, which results from biopsy of the skin [5]. These advanced methods include confocal scanning laser microscopy (CSLM), ultrasonography, and optical coherence tomography (OCT), among several others.
OCT in particular provides a promising future for the detection of melanoma skin cancers. OCT was developed in the late 1980s and was originally used in the field of ophthalmology [6, 7]. OCT is a laser-based imaging modality that is centered on Michelson interferometry and uses infrared light [8] to derive cross-sectional two-dimensional and three-dimensional images of backscattered light from tissue [9]. Light from an optical source is coupled into optical fibers and then divided in two directions [10]. One direction is toward the tissue sample and the other to a reference mirror [8]. Photons from the skin, which are “backscattered,” recombine with the reference signal [10]. When the lengths of the two paths are matched at the coherence length, an interference signal is formed [8]. Today, OCT shows promise in identifying a variety of diseases. Studies have shown that OCT has improved diagnostic efficacy in cervical neoplasia [11], gastrointestinal disease [12], and oral malignancies [13, 14].
Noninvasive modalities may yield earlier detection of melanomas, which may in turn improve survival in melanoma patients. Throughout this article, the role of OCT in the diagnosis of melanoma is further explored. Specific characteristics of melanoma observed via three OCT imaging systems, high-definition optical coherence tomography (HD-OCT), speckle variance optical coherence tomography (SV-OCT), and conventional optical coherence tomography (conventional OCT), are assessed based on published reports. The aim of this descriptive literature review is to compile the existing data to describe characteristics of melanoma seen on OCT based on the current literature.
Methods
A priori inclusion and exclusion criteria were established to select studies evaluating OCT in melanoma skin cancer. To the best of our knowledge, all in vivo and ex vivo studies on human or human tissues in the English language were included in this descriptive review. Studies were excluded if the patient population did not consist of human subjects, if there was no melanoma of the skin, and if the study is not in the English language. A literature search was conducted using PubMed and Google Scholar (Table 1). All search results from database inception to October 2017 were considered for inclusion. Two reviewers (ARE and JMB) independently reviewed all studies for inclusion and exclusion criteria. In the case of disagreement, the two reviewers compared their findings and reached a consensus on classification. After duplicates were removed, 209 abstracts were considered for inclusion, 31 abstracts were selected for manuscript review, and 14 met all criteria and were included (Fig. 1). Among these 14 studies examined [15,16,17,18,19,20,21,22,23,24,25,26,27,28], we collected data regarding inclusion criteria, study design, number of melanomas, melanoma type, OCT device details, sensitivity, specificity, diagnostic results, features visualized through OCT, and performance compared to other diagnostic devices if available.
Results
Conventional OCT, HD-OCT, and SV-OCT systems were used by different researchers in the diagnosis of cutaneous melanoma. Many of these studies compared OCT to other diagnostic methods such as reflectance confocal microscopy, dermoscopy, and biopsy with subsequent histopathological assessment (gold standard). The results of the 14 studies can be found in Table 2.
High-definition OCT: observations and comparison to histopathology
Studies that examined the use of HD-OCT [15, 16, 19, 20, 26] reported similar observations using the cross-sectional and en face modes of the device for visualizing melanoma. Features of melanoma seen on HD-OCT included atypical melanocytes in the upper part of the acanthotic dermis, roundish pagetoid cells, epidermal disarray, loss of maturation progression with depth, and distorted rete ridges. Together, 67 melanomas were visualized using HD-OCT, however 20 of which may have been accounted for twice due to consecutive reports by Gambichler et al., leaving 47 unique melanomas. Multiple studies reported a statistically significant correlation between HD-OCT measurements and histopathology. Boone reported that there was a statistically significant correlation between the HD-OCT measurements and histopathology for the 15 superficial spreading melanomas (SSMs) assessed. Two consecutive reports by Gambichler et al. of 20 and 27 malignant melanomas (MMs), respectively, showed that HD-OCT measurements correlated to histopathology with a sensitivity of 74.1% (53.7–88.8%) and specificity of 92.4% (83.2–97.5%).
Speckle variance OCT: observations and comparison to histopathology
Three studies reported the use of SV-OCT [17, 23, 25] for melanoma. All three studies assessed melanoma in situ (MIS) lesions and described observations of the lesions on SV-OCT as irregularly distributed vessels organized in larger columns [17, 23], and shadows that significantly correlated with MIS [25]. However, Moraes et al. were the only study that assessed MM using SV-OCT, and reported that shadows in addition to loss of bright collagen correlated significantly with MM [25]. All three studies reported that SV-OCT findings significantly correlated to histopathology.
Conventional OCT: observations and comparison to histopathology
The results of studies that assessed the use of conventional OCT [21, 22, 24, 27,28,29] varied. Most authors agreed that melanomas showed more architectural disarray, less definition, and absence of lower border of lesions compared to benign nevi [21, 22, 27,28,29], while others stated that the difference was difficult to visualize in lesions greater than 0.5 mm [24] and an inability to differentiate MM from benign nevi [18]. Compared to histopathology diagnostic results, some authors found that conventional OCT findings correlated to histopathology [22, 27, 29], while others did not [18, 21, 24]. It should be noted that studies that showed a significant correlation between conventional OCT and melanoma diagnosis were smaller cohorts with less than 10 melanomas per study while the reports of no such correlation between conventional OCT and ability to diagnose melanoma were mainly larger cohorts that consisted of 40 [21] and 67 [24] melanomas. Gambichler et al. [21] noted that 20% of MM cases did not show evidence for malignancy in OCT images and Meyer et al. [24] reported a Spearman correlation coefficient of r = 0.2 between histopathology and conventional OCT measurements.
Discussion
This descriptive review compiles and shares available data on the role of OCT in diagnosis of cutaneous melanoma. Noninvasive modalities may yield earlier detection of melanomas, which may in turn improve survival in melanoma patients [30, 31].
OCT technology as a diagnostic tool for melanoma
OCT allows assessment of real-time skin architecture at a depth of approximately 0.5–1.5 mm [32]. The resolution offered by OCT is originally noted as 3–15 μm [33]; however, more recent variations of OCT such as HD-OCT have achieved resolution as low as 1–3 μm [32]. OCT resolution does not allow for observation of single-cell morphology; however, lesion architecture can be assessed [34]. Although certain factors such as the inability to visualize the basement membrane zone and cellular features [35] have been seen as setbacks in using OCT to identify early melanoma, the advancement of technology has identified various methods of distinguishing melanomas from other nevi through OCT. For example, OCT displays certain characteristics of melanomas such as clear architectural disarray and an indistinct dermo-epidermal junction [33].
Although OCT may have lower sensitivity for detecting early melanomas, some authors have reported OCT to have the highest overall sensitivity for detecting melanoma compared to other techniques such as reflectance confocal microscopy, ultrasonography, and multispectral imaging [32]. Additionally, OCT yields a higher resolution and contrast [36] than ultrasound as well as a greater detection depth than CSLM [37]. The mechanism of OCT is comparable to that of ultrasonography; however, instead of sound waves, OCT uses light waves [38].
Conventional OCT is known to have limited ability in studying the skin from a cellular perspective. Recently, many new variations of OCT have been developed to visualize more specific aspects of the skin, which may be beneficial in differentiating malignant melanoma from benign nevi.
HD-OCT has been speculated to enhance OCT’s diagnostic accuracy of malignant melanoma [9]. This may be due to the increased lateral resolution of high-definition of OCT, which is 1 to 3 μm, compared to conventional OCT, which has a lateral resolution of 10 to 15 μm [20]. Although HD-OCT can differentiate between the architecture and cytology of pigmented skin lesions and cells in the epidermis and upper dermis [20], it is unknown if its resolution is sufficient to discriminate between early melanomas and atypical or dysplastic nevi [32].
SV-OCT is a variation of OCT which identifies the microvasculature of the skin [8]. SV-OCT may be useful to differentiate the vasculature in benign nevi and malignant melanoma [39], primarily due to its ability to visualize the neovascularization that occurs during tumor growth [32].
OCT findings in malignant melanoma
Malignant melanoma bears many evident unique features in comparison to benign nevi, which can be noted through OCT. In a pilot study by Boone et al., melanocytic lesions of 26 patients were imaged with HD-OCT, reflectance confocal microscopy (RCM), and dermoscopy prior to excision, and results showed a strong correspondence between HD-OCT image and histopathologic features [16].
Malignant melanomas display a more chaotic architectural organization in comparison to benign nevi [34], chiefly due to their large melanocytes with a prolific cytoplasm [32]. Atypical melanocyte expression initially begins in the acanthotic epidermis as the melanoma gains the ability to expand closer to the dermo-epidermal junction [4]. Additionally, these melanocytes display a stromal reaction, which consists of plump bright cells, small bright cells, and the presence of fibrosis [16]. The plump bright cells represent a lymphocytic infiltrate as they parallel melanophages and small bright cells [16].
The vertical location of the atypical melanocytes results in different histological landmarks and cytological features. In a malignant melanoma, which is merely superficially spreading, atypical melanocytes are found prominently in the upper part of the epidermis [16]. Pagetoid spreading becomes evident once these haphazard melanocytes begin to proliferate within the stratum spinosum [35]. These large and round pagetoid cells are strongly reflecting and suggestive of malignant melanoma [15]. Furthermore, pagetoid cells are known to occur in areas where epidermal disarray is observed [16]. Once these atypical melanocytes permeate the dermis, they form compact infiltrates which result in malignant melanoma’s hallmark appearance of vertical icicle-shaped structures [8].
Another structural consequence of these atypical melanocytes is that they have the tendency to form junctional sheets, or irregular junctional aggregates that disfigure the rete ridges and lead to both junctional nests [16] and dermal nests [8]. As a result, the rete ridges in malignant melanoma take on a broadened shape [32] in contrast to the rete ridges of benign nevi, which are characterized by finger-shaped and elongated rete ridges [8]. The dermo-epidermal junction of benign nevi is generally defined and clearly delineated [8], whereas the dermo-epidermal junction of malignant melanoma is markedly less defined due to infiltrative nature of the tumor growth [11] and irregularity of rete ridges [33].
Alterations in vessel morphology of malignant melanomas are also a common finding and increase as the melanoma becomes more invasive [36]. Specifically, vascular patterns can be studied via SV-OCT in both en face and transversal sections [32]. Changes in tissue reflectivity, which result as blood cells pass through the infrared scanning beam of the SV-OCT, are identified by software analysis, allowing the imaging of the skin’s microangiography [17]. The transversal sections imaged with SV-OCT of malignant melanoma revealed irregular organization of vessels whereas the en face sections display multiple densely organized dots increasing in irregularity with depth [17]. In contrast, these dots display a regular pattern in benign nevi, indicating more consistent architecture [17]. As melanomas gain the ability to invade deeper layers of the skin, these dots tend to arrange themselves in a linear fashion with a branching pattern [36]. Tremendously convoluted vascular patterns, and even the formation of vessel aneurysms, are noted particularly in deeply invasive melanomas [36].
Note that the currently available studies assessing OCT for diagnosis of melanoma used different variables to evaluate OCT’s imaging potential. Factors such as sensitivity, specificity, and strength of correlation were selectively and inconsistently reported by the studies—thereby precluding potential meta-analyses. Although this paper represents hitherto the most comprehensive compilation of data, it must be interpreted with caution, as the small number of studies and lack of structured reporting introduce potential for bias.
Conclusion
This study compiles the most comprehensive available data on the use of OCT in the diagnosis of cutaneous melanoma. Results from HD-OCT and SV-OCT, in particular, correlate with those from histopathological cancer cell identification in a statistically significant manner. HD-OCT offers a high lateral resolution which can aid in the identification of architectural features useful in distinguishing MM from benign nevi. SV-OCT focuses on microvasculature and may be particularly useful in visualizing tumor-associated neovascularization.
OCT yields the high resolution and contrast which allows for greater detection depth versus CSLM. However, OCT has been reported to have lower sensitivity in detecting early melanomas. OCT shows promise as a relatively quick and noninvasive method for the diagnosis of melanoma. However, the current data is limited and more consistent reporting is necessary to develop a definitive conclusion on its efficacy.
References
Guy GP Jr, Thomas CC, Thompson T, Watson M, Massetti GM, Richardson LC (2015) Vital signs: melanoma incidence and mortality trends and projections - United States, 1982-2030. MMWR Morb Mortal Wkly Rep 64:591–596
Surveillance E, and End Results (SEER) Program (2017) Cancer Stat Facts: Melanoma of the Skin (1975-2015). National Cancer Institute
Kent MN, Olsen TG, Feeser TA, Tesno KC, Moad JC, Conroy MP, Kendrick MJ, Stephenson SR, Murchland MR, Khan AU, Peacock EA, Brumfiel A, Bottomley MA (2017) Diagnostic accuracy of virtual pathology vs traditional microscopy in a large dermatopathology study. JAMA Dermatol 153:1285–1291
Nischal U, Nischal KC, Khopkar U (2008) Techniques of skin biopsy and practical considerations. J Cutan Aesthet Surg 1:107–111
Sattler E, Kästle R, Welzel J (2013) Optical coherence tomography in dermatology. J Biomed Opt 18:061224
Fercher AF, Mengedoht K, Werner W (1988) Eye-length measurement by interferometry with partially coherent light. Opt Lett 13:186–188
Huang D, Swanson EA, Lin CP, Schuman JS, Stinson WG, Chang W, Hee MR, Flotte T, Gregory K, Puliafito CA et al (1991) Optical coherence tomography. Science 254:1178–1181
Olsen J, Themstrup L, Jemec GB (2015) Optical coherence tomography in dermatology. G Ital Dermatol Venereol 150:603–615
Calin MA, Parasca SV, Savastru R, Calin MR, Dontu S (2013) Optical techniques for the noninvasive diagnosis of skin cancer. J Cancer Res Clin Oncol 139:1083–1104
Marghoob AA, Swindle LD, Moricz CZ, Sanchez Negron FA, Slue B, Halpern AC, Kopf AW (2003) Instruments and new technologies for the in vivo diagnosis of melanoma. J Am Acad Dermatol 49:777–797 quiz 798–779
Gallwas JK, Turk L, Stepp H, Mueller S, Ochsenkuehn R, Friese K, Dannecker C (2011) Optical coherence tomography for the diagnosis of cervical intraepithelial neoplasia. Lasers Surg Med 43:206–212
Kirtane TS, Wagh MS (2014) Endoscopic optical coherence tomography (OCT): advances in gastrointestinal imaging. Gastroenterol Res Pract 2014:376367
DeCoro M, Wilder-Smith P (2010) Potential of optical coherence tomography for early diagnosis of oral malignancies. Expert Rev Anticancer Ther 10:321–329
Wang J, Xu Y, Boppart SA (2017) Review of optical coherence tomography in oncology. J Biomed Opt 22:1–23
Boone MA, Suppa M, Dhaenens F, Miyamoto M, Marneffe A, Jemec GB, Del Marmol V, Nebosis R (2016) In vivo assessment of optical properties of melanocytic skin lesions and differentiation of melanoma from non-malignant lesions by high-definition optical coherence tomography. Arch Dermatol Res 308:7–20
Boone MA, Norrenberg S, Jemec GB, Del Marmol V (2014) High-definition optical coherence tomography imaging of melanocytic lesions: a pilot study. Arch Dermatol Res 306:11–26
De Carvalho N, Ciardo S, Cesinaro AM, Jemec G, Ulrich M, Welzel J, Holmes J, Pellacani G (2016) In vivo micro-angiography by means of speckle-variance optical coherence tomography (SV-OCT) is able to detect microscopic vascular changes in naevus to melanoma transition. J Eur Acad Dermatol Venereol 30:e67–e68
de Giorgi V, Stante M, Massi D, Mavilia L, Cappugi P, Carli P (2005) Possible histopathologic correlates of dermoscopic features in pigmented melanocytic lesions identified by means of optical coherence tomography. Exp Dermatol 14:56–59
Gambichler T, Schmid-Wendtner MH, Plura I, Kampilafkos P, Stücker M, Berking C, Maier T (2015) A multicentre pilot study investigating high-definition optical coherence tomography in the differentiation of cutaneous melanoma and melanocytic naevi. J Eur Acad Dermatol Venereol 29:537–541
Gambichler T, Plura I, Schmid-Wendtner M, Valavanis K, Kulichova D, Stücker M, Pljakic A, Berking C, Maier T (2015) High-definition optical coherence tomography of melanocytic skin lesions. J Biophotonics 8:681–686
Gambichler T, Regeniter P, Bechara FG, Orlikov A, Vasa R, Moussa G, Stücker M, Altmeyer P, Hoffmann K (2007) Characterization of benign and malignant melanocytic skin lesions using optical coherence tomography in vivo. J Am Acad Dermatol 57:629–637
Hinz T, Ehler LK, Voth H, Fortmeier I, Hoeller T, Hornung T, Schmid-Wendtner MH (2011) Assessment of tumor thickness in melanocytic skin lesions: comparison of optical coherence tomography, 20-MHz ultrasound and histopathology. Dermatology 223:161–168
Markowitz O, Schwartz M, Minhas S, Siegel DM (2016) Speckle-variance optical coherence tomography: a novel approach to skin cancer characterization using vascular patterns. Dermatol Online Journal 22
Meyer N, Lauwers-Cances V, Lourari S, Laurent J, Konstantinou MP, Lagarde JM, Krief B, Batatia H, Lamant L, Paul C (2014) High-frequency ultrasonography but not 930-nm optical coherence tomography reliably evaluates melanoma thickness in vivo: a prospective validation study. Br J Dermatol 171:799–805
Moraes Pinto Blumetti TC, Cohen MP, Gomes EE, Petaccia de Macedo M, Ferreira de Souza Begnami MD, Tavares Guerreiro Fregnani JH, Duprat JP, Pellacani G, Rezze GG (2015) Optical coherence tomography (OCT) features of nevi and melanomas and their association with intraepidermal or dermal involvement: a pilot study. J Am Acad Dermatol 73:315–317
Oliveira A, Arzberger E, Massone C, Carrera C, Zalaudek I (2016) Verrucous melanoma simulating melanoacanthoma: dermoscopic, reflectance confocal microscopic and high-definition optical coherence tomography presentation of a rare melanoma variant. Australas J Dermatol 57:72–73
Welzel J, Lankenau E, Birngruber R, Engelhardt R (1997) Optical coherence tomography of the human skin. J Am Acad Dermatol 37:958–963
Wessels R, de Bruin DM, Relyveld GN, Faber DJ, Vincent AD, Sanders J, van Leeuwen TG, Ruers TJ (2015) Functional optical coherence tomography of pigmented lesions. J Eur Acad Dermatol Venereol 29:738–744
Welzel J, Lankenau E, Birngruber R, Engelhardt R (1998) Optical coherence tomography of the skin. Curr Probl Dermatol 26:27–37
Bataille V (2009) Early detection of melanoma improves survival. Practitioner 253(29–32):3
Voss RK, Woods TN, Cromwell KD, Nelson KC, Cormier JN (2015) Improving outcomes in patients with melanoma: strategies to ensure an early diagnosis. Patient Relat Outcome Meas 6:229–242
Menge TD, Pellacani G (2016) Advances in noninvasive imaging of melanoma. Semin Cutan Med Surg 35:18–24
Mogensen M, Thrane L, Jørgensen TM, Andersen PE, Jemec GB (2009) OCT imaging of skin cancer and other dermatological diseases. J Biophotonics 2:442–451
Goodson AG, Grossman D (2009) Strategies for early melanoma detection: approaches to the patient with nevi. J Am Acad Dermatol 60:719–735 quiz 736–738
Smith L, Macneil S (2011) State of the art in non-invasive imaging of cutaneous melanoma. Skin Res Technol 17:257–269
Schuh S, Holmes J, Ulrich M, Themstrup L, Jemec GBE, De Carvalho N, Pellacani G, Welzel J (2017) Imaging blood vessel morphology in skin: dynamic optical coherence tomography as a novel potential diagnostic tool in dermatology. Dermatol Ther 7:187–202
Rigel DS, Russak J, Friedman R (2010) The evolution of melanoma diagnosis: 25 years beyond the ABCDs. CA Cancer J Clin 60:301–316
Patel JK, Konda S, Perez OA, Amini S, Elgart G, Berman B (2008) Newer technologies/techniques and tools in the diagnosis of melanoma. Eur J Dermatol 18:617–631
Ulrich M, Themstrup L, de Carvalho N, Manfredi M, Grana C, Ciardo S, Kästle R, Holmes J, Whitehead R, Jemec GB, Pellacani G, Welzel J (2016) Dynamic optical coherence tomography in dermatology. Dermatology 232:298–311
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Rajabi-Estarabadi, A., Bittar, J.M., Zheng, C. et al. Optical coherence tomography imaging of melanoma skin cancer. Lasers Med Sci 34, 411–420 (2019). https://doi.org/10.1007/s10103-018-2696-1
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DOI: https://doi.org/10.1007/s10103-018-2696-1