Multimode optical dermoscopy (SkinSpect) analysis for skin with melanocytic nevus

Vasefi, Fartash; MacKinnon, Nicholas; Saager, Rolf B.; Kelly, Kristen M.; Maly, Tyler; Chave, R.; Booth, Nicholas; Durkin, Anthony J.; Farkas, Daniel L.

doi:10.1117/12.2214288

Cited by 6 publications

(8 citation statements)

References 5 publications

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“…A number of optical imaging and spectroscopic technologies have been developed for noninvasive detection of skin cancers . These include RCM, optical coherence tomography (OCT), diffuse reflectance spectroscopy including multi‐ and hyper‐spectral approaches, two‐photon microscopy, Raman spectroscopy, and multimodal spectroscopy . Of these, RCM imaging is currently the furthest along in clinical settings, with level I and level II evidence supporting its role in enabling dermatologists to discriminate benign from malignant lesions with high sensitivity and specificity.…”

Section: Introductionmentioning

confidence: 99%

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Reflectance confocal microscopy of skin in vivo: From bench to bedside

et al. 2016

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Following more than two decades of effort, reflectance confocal microscopy (RCM) imaging of skin was granted codes for reimbursement by the US Centers for Medicare and Medicaid Services. Dermatologists in the USA have started billing and receiving reimbursement for the imaging procedure and for the reading and interpretation of images. RCM imaging combined with dermoscopic examination is guiding the triage of lesions into those that appear benign, which are being spared from biopsy, against those that appear suspicious, which are then biopsied. Thus far, a few thousand patients have been spared from biopsy of benign lesions. The journey of RCM imaging from bench to bedside is certainly a success story, but still much more work lies ahead toward wider dissemination, acceptance, and adoption. We present a brief review of RCM imaging and highlight key challenges and opportunities. The success of RCM imaging paves the way for other emerging optical technologies, as well—and our bet for the future is on multimodal approaches.

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Section: Introductionmentioning

confidence: 99%

“…Multimodal spectral approaches, combining reflectance, fluorescence, and Raman, can classify melanocytic and non‐melanocytic lesions with sensitivity 90–100% and specificity 71% to 100% . A new polarization‐sensitive hyper‐spectral imaging approach (SkinSpect) is in clinical testing .…”

Section: Introductionmentioning

confidence: 99%

Reflectance confocal microscopy of skin in vivo: From bench to bedside

et al. 2016

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“…This platform demonstrates a number of advantages compared with previous systems targeting chromophore mapping and skin cancer screening. 14,15,17,18,20,[22][23][24] The smartphone platform is a compact, low-cost, portable, easy-to-use system with native image capture and processing capabilities, which removes the need for expensive, clinical-grade imaging systems. [17][18][19] The platform is flexible enough to use either the embedded camera for imaging or a separate USB-connected camera, depending on the desired ergonomics of the user.…”

Section: Discussionmentioning

confidence: 99%

“…11 Adjunctive tools utilizing objective measures such as polarized multispectral imaging (PMSI) and polarized white-light imaging (PWLI) to map dermal chromophores [hemoglobin, deoxyhemoglobin (Hb), and melanin], quantify erythema, and perform image classification for lesion screening have the potential to increase early detection of melanoma by PCPs and even outside the physician's office, leading to reduced need for biopsy and improved outcomes. [14][15][16][17][18][19][20][21][22][23][24][25][26][27] We propose a smartphone combined with LED illumination as the ideal platform for an adjunctive medical device, which will provide a portable system with easy-to-operate apps and native image capture, processing, and data transmission. These systems can reduce the costs associated with interference-filter-based 14,15,20 or spectrometer-based 21,23 systems while also providing a more compact, portable geometry for use in any testing environment compared with clinicalgrade imaging systems.…”

Section: Introductionmentioning

confidence: 99%

Point-of-care, multispectral, smartphone-based dermascopes for dermal lesion screening and erythema monitoring

et al. 2020

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Significance: The rates of melanoma and nonmelanoma skin cancer are rising across the globe. Due to a shortage of board-certified dermatologists, the burden of dermal lesion screening and erythema monitoring has fallen to primary care physicians (PCPs). An adjunctive device for lesion screening and erythema monitoring would be beneficial because PCPs are not typically extensively trained in dermatological care. Aim: We aim to examine the feasibility of using a smartphone-camera-based dermascope and a USB-camera-based dermascope utilizing polarized white-light imaging (PWLI) and polarized multispectral imaging (PMSI) to map dermal chromophores and erythema. Approach: Two dermascopes integrating LED-based PWLI and PMSI with both a smartphonebased camera and a USB-connected camera were developed to capture images of dermal lesions and erythema. Image processing algorithms were implemented to provide chromophore concentrations and redness measures. Results: PWLI images were successfully converted to an alternate colorspace for erythema measures, and the spectral bandwidth of the PMSI LED illumination was sufficient for mapping of deoxyhemoglobin, oxyhemoglobin, and melanin chromophores. Both types of dermascopes were able to achieve similar relative concentration results. Conclusion: Chromophore mapping and erythema monitoring are feasible with PWLI and PMSI using LED illumination and smartphone-based cameras. These systems can provide a simpler, more portable geometry and reduce device costs compared with interference-filterbased or spectrometer-based clinical-grade systems. Future research should include a rigorous clinical trial to collect longitudinal data and a large enough dataset to train and implement a machine learning-based image classifier.

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“…Two additional multispectral-imaging methods have been examined for the inspection of malignant melanoma. SkinSpect (Spectral Molecular Imaging, USA) produces melanin and haemoglobin maps similar to those of MoleMate [19][20][21][22] also using model-based fitting, so it may be possible to include SkinSpect into established scoring algorithms. MelaFind (Strata Skin Science, USA; formerly Mela Science), which has been discontinued, took a different approach.…”

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confidence: 99%

A roadmap for the clinical implementation of optical-imaging biomarkers

et al. 2019

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Clinical workflows for the non-invasive detection and characterization of disease states could benefit from optical-imaging biomarkers. In this Perspective, we discuss opportunities and challenges towards the clinical implementation of optical-imaging biomarkers for the early detection of cancer by analysing two case studies: the assessment of skin lesions in primary care, and the surveillance of patients with Barrett's oesophagus in specialist care. We stress the importance of technical and biological validations and clinical-utility assessments, and the need to address implementation bottlenecks. In addition, we define a translational roadmap for the widespread clinical implementation of optical imaging-technologies. Optical-imaging biomarkers (OIBs), which rely on the interactions of tissue and non-ionizing optical radiation (with typical wavelengths in the range of 400-1,000 nm), can be used for the non-invasive detection and characterization of disease states. OIBs enable the real-time analysis of tissue biochemistry and the use of compact point-of-care and low-cost imaging devices (when compared to radiological imaging), and can operate across ranges of resolutions and depths spanning over four orders of magnitude 1. Across the visible and near-infrared spectrum, light undergoes a range of complex interactions with tissue (Fig. 1). Conventional photographic methods that aim at replicating human vision 2 discard most of the information obtained from these interactions and only capture reflected light across three channels (red, green and blue). Over the past decade, a wide range of promising OIBs that extract in-depth information provided by the different light-tissue interactions have emerged. However, for any new imaging biomarker to be deployed in a clinical setting, detailed validation is required. Technical validation defines the precision and accuracy with which the biomarker can be measured, whereas biological validation establishes the association between the biomarker and the underlying physiological, anatomical or pathological process. Clinical validation can then establish whether the biomarker does indeed identify, measure or predict the clinical outcome of interest. To achieve clinical validation, the imaging device needs to conform to clinical performance and safety specifications, and be approved for use in patients. With standard radiological imaging-such as computed tomography (CT) or magnetic resonance imaging (MRI)-the imaging device required to measure a novel imaging biomarker is already clinically approved for use in humans and widely available across radiology departments 3. In contrast, for OIBs it is uncommon that a clinically approved imaging device (alongside its associated specialist data-acquisition and data-interpretation methods) is available for clinical validation. Therefore, biological validation may be restricted to testing ex vivo samples such as histopathological sections. Compared to the in vivo setting, these can be prone to bias, and generate a different range of optic...

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Multimode optical dermoscopy (SkinSpect) analysis for skin with melanocytic nevus

Cited by 6 publications

References 5 publications

Reflectance confocal microscopy of skin in vivo: From bench to bedside

Reflectance confocal microscopy of skin in vivo: From bench to bedside

Point-of-care, multispectral, smartphone-based dermascopes for dermal lesion screening and erythema monitoring

A roadmap for the clinical implementation of optical-imaging biomarkers

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