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Adan F, Nelemans PJ, Essers BAB, Brinkhuizen T, Dodemont SRP, Kessels JPHM, Quaedvlieg PJF, Dermont GJ, Winnepenninckx VJL, Abdul Hamid M, Kelleners-Smeets NWJ, Mosterd K. Optical coherence tomography versus punch biopsy for diagnosis of basal cell carcinoma: a multicentre, randomised, non-inferiority trial. Lancet Oncol 2022; 23:1087-1096. [DOI: 10.1016/s1470-2045(22)00347-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/01/2022] [Accepted: 06/09/2022] [Indexed: 12/30/2022]
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Maguluri G, Grimble J, Mujat M, Park J, Caron A, Iftimia N. Fiber‐based hand‐held
RCM‐OCT
probe for noninvasive assessment of skin lesions and therapy guidance. TRANSLATIONAL BIOPHOTONICS 2022; 4. [PMID: 36176918 PMCID: PMC9514145 DOI: 10.1002/tbio.202200002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Noninvasive assessment of skin lesions, especially of basal cell carcinoma (BCC), has benefited more recently from the use of optical imaging techniques such as optical coherence tomography (OCT) and reflectance confocal microscopy (RCM). While RCM provides submicron scale resolution and thus enables identification of skin morphological changes of the skin, with the downside of limited penetration depth, OCT imaging of the same lesion brings the benefit of better resolving its depth of invasion. OCT and RCM can be used either individually or combined within the same instrument for the noninvasive diagnosis of nonmelanoma skin cancers (NMSCs). Their combined use has shown to provide certain benefits such as better characterization of the lesion's margins, both in depth and laterally, as well as improved sensitivity and specificity, as previously demonstrated by our team. In this paper we report a new "fiber-based" implementation of the second-generation RCM-OCT hand-held probe. The fiber-based implementation of both imaging modalities enabled the construction of a smaller footprint/lower weight hand-held probe. Its preliminary evaluation on the skin of healthy volunteers is reported here, demonstrating improved capabilities for resolving sub-cellular structures and image skin morphology with micron-scale resolution to a higher depth than in the previous implementation, while also enabling the construction of angiography maps showing vascular remodeling.
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Fuchs CSK, Ortner VK, Mogensen M, Rossi AM, Pellacani G, Welzel J, Mosterd K, Guitera P, Nayahangan LJ, Johnsson VL, Haedersdal M, Tolsgaard MG. 2021 international consensus statement on optical coherence tomography for basal cell carcinoma: image characteristics, terminology and educational needs. J Eur Acad Dermatol Venereol 2022; 36:772-778. [PMID: 35141952 DOI: 10.1111/jdv.17969] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/02/2021] [Accepted: 01/07/2022] [Indexed: 01/14/2023]
Abstract
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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Affiliation(s)
- C S K Fuchs
- Department of Dermatology and Wound Healing Centre, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - V K Ortner
- Department of Dermatology and Wound Healing Centre, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - M Mogensen
- Department of Dermatology and Wound Healing Centre, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - A M Rossi
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - G Pellacani
- Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy
| | - J Welzel
- Department of Dermatology, General Hospital Augsburg, Augsburg, Germany
| | - K Mosterd
- Department of Dermatology, Maastricht University Medical Center, Maastricht, The Netherlands.,GROW Research Institute for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - P Guitera
- Melanoma Institute Australia, Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, The University of Sydney, Sydney, New South Wales, Australia
| | - L J Nayahangan
- Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark
| | - V L Johnsson
- Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark
| | - M Haedersdal
- Department of Dermatology and Wound Healing Centre, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - M G Tolsgaard
- Copenhagen Academy for Medical Education and Simulation, Centre for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark
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