High‐definition optical coherence tomography algorithm for discrimination of basal cell carcinoma from clinical <scp>BCC</scp> imitators and differentiation between common subtypes

Boone, Marc; Suppa, Mariano; Pellacani, Giovanni; Marneffe, A.; Miyamoto, Makiko; Alarcón, Ivette; Ruini, Cristel; Hofmann‐Wellenhof, Rainer; Malvehy, Josep; Jemec, Gregor B. E.; Marmol, Véronique Del

doi:10.1111/jdv.13003

Cited by 46 publications

(63 citation statements)

References 38 publications

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“…It provides real‐time images of the skin to a depth of 500‐1500 μm with a resolution of ≤3‐7.5 μm (system dependent) . Several morphologic OCT characteristics of BCC have been defined and evaluated, and OCT improves the diagnostic specificity for BCC . Although many studies have looked at OCT diagnosis of BCC, only few have explored the ability of OCT to discriminate between different BCC subtypes, possibly due to limited penetration depth of some OCT devices …”

Section: Introductionmentioning

confidence: 99%

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In vivo differentiation of common basal cell carcinoma subtypes by microvascular and structural imaging using dynamic optical coherence tomography

Themstrup

Carvalho

Nielsen

et al. 2018

Experimental Dermatology

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The subtype of basal cell carcinoma (BCC) influences the choice of treatment. Optical coherence tomography (OCT) is a non-invasive imaging tool, and a recent development of an angiographic version of OCT has extended the application of OCT to image the cutaneous microvasculature (so-called dynamic OCT, D-OCT). This study explores D-OCT's ability to differentiate the common BCC subtypes by microvascular and structural imaging. Eighty-one patients with 98 BCC lesions, consisting of three subtypes: 27 superficial BCC (sBCC), 55 nodular BCC (nBCC) and 16 infiltrative BCC (iBCC) were D-OCT scanned at three European dermatology centres. Blinded evaluations of microvascular and structural features were performed, followed by extensive statistical analysis of risk ratio (RR) and multiple correspondence analysis. nBCC lesions displayed most characteristic structural and vascular features. Serpiginous vessels, branching vessels, vessels creating a circumscribed figure and sharply demarcated hyporeflective ovoid structures in the dermis were all associated with a higher risk of the subtype being nBCC. The presence of highly present lines and dark peripheral borders at the margin of ovoid structures was negatively associated with iBCC. Lastly, the finding of hyporeflective ovoid structures protruding from epidermis correlated with sBCC. We identified various microvascular and structural D-OCT features that may aid non-invasive identification of BCC subtypes. This would allow clinicians to individualize and optimize BCC treatment as well as aid follow-up of non-surgical treatment.

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Section: Introductionmentioning

confidence: 99%

“…Based on conventional grey‐scale OCT imaging, it has been speculated that an improved imaging of the vascular pattern may increase the diagnostic accuracy for BCC and its subtypes . Recent development of angiography‐enabled OCT extends the applications of OCT from pure structural imaging to functional imaging of blood flow .…”

Section: Introductionmentioning

confidence: 99%

In vivo differentiation of common basal cell carcinoma subtypes by microvascular and structural imaging using dynamic optical coherence tomography

Themstrup

Carvalho

Nielsen

et al. 2018

Experimental Dermatology

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“…Combining major and minor OCT criteria for pattern analysis of the tissue enables diagnosis of BCC with a specificity of ∼75% and a sensitivity of ∼96% [2,7] and can also aid in the monitoring of medical treatments of BCC lesions [20,21,22]. An algorithm has been proposed for the subclassification of BCC using high-definition OCT but awaits further validation, while there is currently no data to suggest that standard OCT can reliably differentiate between BCC subtypes [5,23,24,25]. …”

Section: Basal Cell Carcinomamentioning

confidence: 99%

Dynamic Optical Coherence Tomography in Dermatology

Ulrich¹,

et al. 2016

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Optical coherence tomography (OCT) represents a non-invasive imaging technology, which may be applied to the diagnosis of non-melanoma skin cancer and which has recently been shown to improve the diagnostic accuracy of basal cell carcinoma. Technical developments of OCT continue to expand the applicability of OCT for different neoplastic and inflammatory skin diseases. Of these, dynamic OCT (D-OCT) based on speckle variance OCT is of special interest as it allows the in vivo evaluation of blood vessels and their distribution within specific lesions, providing additional functional information and consequently greater density of data. In an effort to assess the potential of D-OCT for future scientific and clinical studies, we have therefore reviewed the literature and preliminary unpublished data on the visualization of the microvasculature using D-OCT. Information on D-OCT in skin cancers including melanoma, as well as in a variety of other skin diseases, is presented in an atlas. Possible diagnostic features are suggested, although these require additional validation.

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“…The localized epidermal atypia in AKs reflects a partial disruption of the differentiation programme, whereas a more complete disruption of differentiation is associated with SCC in situ . Based on RCM diagnostic AK features, we could define in a previous study that HD‐OCT en face features had a good correlation with the histopathological AK grading . These features were atypical honeycomb pattern (AHP) and/or disarranged epidermal pattern (DEP) due to cellular pleomorphism.…”

Section: Discussionmentioning

confidence: 99%

A new algorithm for the discrimination of actinic keratosis from normal skin and squamous cell carcinoma based on in vivo analysis of optical properties by high‐definition optical coherence tomography

Boone

Suppa

Marneffe

et al. 2016

Acad Dermatol Venereol

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HD-OCT seems to enable the combination of in vivo morphological analysis of cellular and 3D microarchitectural structures with in vivo analysis of optical properties of tissue scatterers in AK/SCC lesions and normal sun-exposed skin. In vivoHD-OCT analysis of optical properties permits AK discrimination from SCC and AK subdifferentiation with higher accuracy than in vivoHD-OCT analysis of morphology alone.

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High‐definition optical coherence tomography algorithm for discrimination of basal cell carcinoma from clinical BCC imitators and differentiation between common subtypes

Cited by 46 publications

References 38 publications

In vivo differentiation of common basal cell carcinoma subtypes by microvascular and structural imaging using dynamic optical coherence tomography

In vivo differentiation of common basal cell carcinoma subtypes by microvascular and structural imaging using dynamic optical coherence tomography

Dynamic Optical Coherence Tomography in Dermatology

A new algorithm for the discrimination of actinic keratosis from normal skin and squamous cell carcinoma based on in vivo analysis of optical properties by high‐definition optical coherence tomography

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