Combined reflectance confocal microscopy and optical coherence tomography to improve the diagnosis of equivocal lesions for basal cell carcinoma

Monnier, Jilliana; Carvalho, Nathalie De; Harris, Ucalene; Garfinkel, Jason; Aleissa, Saud; Navarrete‐Dechent, Cristián; Liopyris, Konstantinos; Reiter, Ofer; Rubinstien, Gennady; Iftimia, Nicusor; Nehal, Kishwer S.; Markova, Alina; Deng, Liang; Rossi, Anthony; Marghoob, Ashfaq A.; Marchetti, Michael A.; Rotemberg, Veronica; Pellacani, Giovanni; Jain, Manu

doi:10.1016/j.jaad.2021.03.066

Cited by 11 publications

(7 citation statements)

References 5 publications

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“…This procedure requires mechanically shifting the reference mirror, thereby changing the depth of the tissue being scanned ( 31 , 32 ). However, with the advancement of technology and technology and for different needs, TD-OCT has emerged many variants, such as line-field confocal OCT (LC-OCT) ( 33 , 34 ), full-field OCT (FF-OCT) ( 35 ), polarization-sensitive OCT (PS-OCT) ( 36 ), etc., to achieve more efficient and wide applications in the clinic.…”

Section: Development Of the Octmentioning

confidence: 99%

“…The diagnostic method was able to detect 97.8% of BCC lesions, 84.3% of superficial BCC lesions and 98.8% of non-superficial BCC lesions ( 45 ). The LC-OCT technique, which combines reflex confocal microscopy with OCT technology, explains the basal cell carcinoma characteristics under LC-OCT examination and offers a theoretical basis for the diagnosis, classification, and treatment of later basal cell carcinoma ( 33 , 34 ).…”

Section: Application Of Oct In Oncologymentioning

confidence: 99%

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Research progress on the application of optical coherence tomography in the field of oncology

et al. 2022

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Optical coherence tomography (OCT) is a non-invasive imaging technique which has become the “gold standard” for diagnosis in the field of ophthalmology. However, in contrast to the eye, nontransparent tissues exhibit a high degree of optical scattering and absorption, resulting in a limited OCT imaging depth. And the progress made in the past decade in OCT technology have made it possible to image nontransparent tissues with high spatial resolution at large (up to 2mm) imaging depth. On the one hand, OCT can be used in a rapid, noninvasive way to detect diseased tissues, organs, blood vessels or glands. On the other hand, it can also identify the optical characteristics of suspicious parts in the early stage of the disease, which is of great significance for the early diagnosis of tumor diseases. Furthermore, OCT imaging has been explored for imaging tumor cells and their dynamics, and for the monitoring of tumor responses to treatments. This review summarizes the recent advances in the OCT area, which application in oncological diagnosis and treatment in different types: (1) superficial tumors:OCT could detect microscopic information on the skin’s surface at high resolution and has been demonstrated to help diagnose common skin cancers; (2) gastrointestinal tumors: OCT can be integrated into small probes and catheters to image the structure of the stomach wall, enabling the diagnosis and differentiation of gastrointestinal tumors and inflammation; (3) deep tumors: with the rapid development of OCT imaging technology, it has shown great potential in the diagnosis of deep tumors such in brain tumors, breast cancer, bladder cancer, and lung cancer.

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Section: Development Of the Octmentioning

confidence: 99%

Section: Application Of Oct In Oncologymentioning

confidence: 99%

Research progress on the application of optical coherence tomography in the field of oncology

et al. 2022

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“…Techniques such as dermoscopy, 2 ultrasound, 3 and reflectance confocal microscopy (RCM) have been explored to characterize CM but had limitations. Recently, a novel multi‐modal non‐invasive, in vivo imaging RCM‐OCT device that combines the advantage of RCM and optical coherence tomography (OCT) by providing RCM cellular‐level, high‐resolution images in the horizontal ( en face ) plane (200 μm depth) and OCT low‐resolution images in the transverse plane (1000 μm depth) has been developed 4 and shown to help detect BCC 5 …”

Section: Figurementioning

confidence: 99%

“…Recently, a novel multi-modal noninvasive, in vivo imaging RCM-OCT device that combines the advantage of RCM and optical coherence tomography (OCT) by providing RCM cellular-level, high-resolution images in the horizontal (en face) plane (200 lm depth) and OCT low-resolution images in the transverse plane (1000 lm depth) has been developed 4 and shown to help detect BCC. 5 In this study, we used the RCM-OCT device to image and describe features of CM in breast cancer patients to elucidate its potential role in aiding their diagnosis and management. Seven patients with clinically suspicious CM from breast cancer were imaged.…”

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confidence: 99%

Non‐invasive, in vivo, characterization of cutaneous metastases using a novel multimodal RCM‐OCT imaging device: a case‐series

Bang

Monnier

Harris

et al. 2022

Acad Dermatol Venereol

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Background Cutaneous metastases (CM) diagnosis is clinically challenging, requiring an invasive biopsy for confirmation. A novel, RCM‐OCT device combines the advantage of horizontal high‐resolution reflectance confocal microscopy (RCM) images and vertical deeper optical coherence tomography (OCT) images to aid in non‐invasive diagnosis of CM from breast cancers. Objective Characterize CM from breast cancers using RCM‐OCT device. Methods Seven patients suffering from breast cancers with suspicious CM were consented and imaged with RCM‐OCT device. CM features were defined by comparing with histopathology. Tumour depths were measured on OCT and on H&E‐images and correlated using statistical analysis Pearson test. 3D‐OCT images were reconstructed to enhance tumour visualization. Results 6/7 lesions were CM from breast cancers, and one was vascular ectasia, on histopathology. CM appeared as greyish‐darkish oval to round structures within the dermis on RCM and OCT‐images. On RCM, individual tumour cells were seen, enabling identification of even small tumour foci; while, on OCT deeper tumours were detected. Inflammatory cells, dilated vessels and coarse collagen were identified in the dermis. Pearson correlation had an r2 of 0.38 and a significant P‐value <0.004 for depth measurements. CM from breast cancers could be differentiated from ecstatic vessels on 3D‐reconstructed OCT image. Limitation Small sample size and lack of clinical mimickers. Conclusion RCM‐OCT can detect CM and has potential in aiding non‐invasive diagnosis and management.

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“…7 While there is a maturing body of literature reflecting the clinical interest in OCT characteristics of BCCs, recommendations for OCT-based BCC diagnosis and subtyping, such as the German national guidelines for BCC, have yet to be developed on an international level. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] The Delphi method is a commonly used technique to generate expert opinion-based evidence and build consensus concerning topics that lack, or are not suitable for, empirical or experimental research. 22 It uses iterative rounds of surveys followed by a final review phase to collect feedback on the preliminary consensus.…”

Section: Introductionmentioning

confidence: 99%

2021 international consensus statement on optical coherence tomography for basal cell carcinoma: image characteristics, terminology and educational needs

Fuchs

Ortner

Mogensen

et al. 2022

Acad Dermatol Venereol

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Background Despite the widespread use of optical coherence tomography (OCT) for imaging of keratinocyte carcinoma, we lack an expert consensus on the characteristic OCT features of basal cell carcinoma (BCC), an internationally vetted set of OCT terms to describe various BCC subtypes, and an educational needs assessment. Objectives To identify relevant BCC features in OCT images, propose terminology based on inputs from an expert panel and identify content for a BCC‐specific curriculum for OCT trainees. Methods Over three rounds, we conducted a Delphi consensus study on BCC features and terminology between March and September 2020. In the first round, experts were asked to propose BCC subtypes discriminable by OCT, provide OCT image features for each proposed BCC subtypes and suggest content for a BCC‐specific OCT training curriculum. If agreement on a BCC‐OCT feature exceeded 67%, the feature was accepted and included in a final review. In the second round, experts had to re‐evaluate features with less than 67% agreement and rank the ten most relevant BCC OCT image features for superficial BCC, nodular BCC and infiltrative and morpheaphorm BCC subtypes. In the final round, experts received the OCT‐BCC consensus list for a final review, comments and confirmation. Results The Delphi included six key opinion leaders and 22 experts. Consensus was found on terminology for three OCT BCC image features: (i) hyporeflective areas, (ii) hyperreflective areas and (iii) ovoid structures. Further, the participants ranked the ten most relevant image features for nodular, superficial, infiltrative and morpheaform BCC. The target group and the key components for a curriculum for OCT imaging of BCC have been defined. Conclusion We have established a set of OCT image features for BCC and preferred terminology. A comprehensive curriculum based on the expert suggestions will help implement OCT imaging of BCC in clinical and research settings.

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Combined reflectance confocal microscopy and optical coherence tomography to improve the diagnosis of equivocal lesions for basal cell carcinoma

Cited by 11 publications

References 5 publications

Research progress on the application of optical coherence tomography in the field of oncology

Research progress on the application of optical coherence tomography in the field of oncology

Non‐invasive, in vivo, characterization of cutaneous metastases using a novel multimodal RCM‐OCT imaging device: a case‐series

2021 international consensus statement on optical coherence tomography for basal cell carcinoma: image characteristics, terminology and educational needs

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