Literature DB >> 32135314

Multispectral autofluorescence dermoscope for skin lesion assessment.

Renan Arnon Romano1, Ramon Gabriel Teixeira Rosa2, Ana Gabriela Salvio3, Javier A Jo4, Cristina Kurachi2.   

Abstract

Basal cell carcinoma (BCC) is the most common type of skin cancer. Diagnosis and edge assessment of BCC lesions are based on clinical and dermoscopy evaluation, which are strongly dependent on the expertise and training of the physician. There is a high rate of underdiagnosis because BCC is frequently confused with certain common benign lesions and is often indistinguishable from the surrounding healthy tissue. In the present study, a multispectral fluorescence lifetime imaging (FLIm) dermoscopy system, designed for imaging and analyzing the autofluorescence emission of skin tissue, was used to image thirty-eight patients with diagnosed nodular BCC (nBCC) lesions, using clinically acceptable levels of excitation light exposure. With this system, skin autofluorescence was imaged simultaneously using three emission bands: 390 ± 20 nm, 452 ± 22 nm, and >496 nm, preferentially targeting collagen, NADH, and FAD autofluorescence, respectively. Statistical classifiers based on FLIm features developed to discriminate BCC from healthy tissue showed promising performance (ROC area-under-the-curve of 0.82). This study demonstrates the feasibility of clinically performing multispectral endogenous FLIm dermoscopy providing baseline results indicating the potential of this technology as an image-guided tool to improve the delineation of nBCC during surgical lesion resection.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  BCC; Fluorescence lifetime imaging; In vivo; Label-free fluorescence; Skin cancer

Mesh:

Substances:

Year:  2020        PMID: 32135314      PMCID: PMC8299719          DOI: 10.1016/j.pdpdt.2020.101704

Source DB:  PubMed          Journal:  Photodiagnosis Photodyn Ther        ISSN: 1572-1000            Impact factor:   3.631


  30 in total

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4.  Flexible endoscope for continuous in vivo multispectral fluorescence lifetime imaging.

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5.  Objective Detection of Oral Carcinoma with Multispectral Fluorescence Lifetime Imaging In Vivo.

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6.  Facial basal cell carcinoma: analysis of recurrence and follow-up strategies.

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7.  Can autofluorescence demarcate basal cell carcinoma from normal skin? A comparison with protoporphyrin IX fluorescence.

Authors:  R Na; I M Stender; H C Wulf
Journal:  Acta Derm Venereol       Date:  2001 Aug-Sep       Impact factor: 4.437

8.  Incidence of residual basal cell carcinoma in patients who appear tumor free after biopsy.

Authors:  K A Holmkvist; G S Rogers; P R Dahl
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9.  Incidence of residual nonmelanoma skin cancer in excisions after shave biopsy.

Authors:  Kurt Grelck; Sean Sukal; Les Rosen; Gabriel P Suciu
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10.  Laser-induced fluorescence spectroscopy for in vivo diagnosis of non-melanoma skin cancers.

Authors:  Masoud Panjehpour; Clark E Julius; Mary N Phan; Tuan Vo-Dinh; Suzanne Overholt
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  4 in total

1.  Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning.

Authors:  Priyanka Vasanthakumari; Renan A Romano; Ramon G T Rosa; Ana G Salvio; Vladislav Yakovlev; Cristina Kurachi; Jason M Hirshburg; Javier A Jo
Journal:  J Biomed Opt       Date:  2022-06       Impact factor: 3.758

2.  Multispectral fluorescence lifetime imaging device with a silicon avalanche photodetector.

Authors:  Xiangnan Zhou; Julien Bec; Diego Yankelevich; Laura Marcu
Journal:  Opt Express       Date:  2021-06-21       Impact factor: 3.833

3.  Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach.

Authors:  Daniel U Campos-Delgado; Omar Gutierrez-Navarro; Ricardo Salinas-Martinez; Elvis Duran; Aldo R Mejia-Rodriguez; Miguel J Velazquez-Duran; Javier A Jo
Journal:  PLoS One       Date:  2021-03-18       Impact factor: 3.752

Review 4.  FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring.

Authors:  Yuzhen Ouyang; Yanping Liu; Zhiming M Wang; Zongwen Liu; Minghua Wu
Journal:  Nanomicro Lett       Date:  2021-06-03
  4 in total

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