Literature DB >> 21721796

Towards noncontact skin melanoma selection by multispectral imaging analysis.

Ilona Kuzmina, Ilze Diebele, Dainis Jakovels, Janis Spigulis, Lauma Valeine, Janis Kapostinsh, Anna Berzina.   

Abstract

A clinical trial comprising 334 pigmented and vascular lesions has been performed in three Riga clinics by means of multispectral imaging analysis. The imaging system Nuance 2.4 (CRi) and self-developed software for mapping of the main skin chromophores were used. Specific features were observed and analyzed for malignant skin melanomas: notably higher absorbance (especially as the difference of optical density relative to the healthy skin), uneven chromophore distribution over the lesion area, and the possibility to select the "melanoma areas" in the correlation graphs of chromophores. The obtained results indicate clinical potential of this technology for noncontact selection of melanoma from other pigmented and vascular skin lesions.

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Year:  2011        PMID: 21721796     DOI: 10.1117/1.3584846

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  15 in total

1.  Analysis of skin morphological features and real-time monitoring using snapshot hyperspectral imaging.

Authors:  Qinghua He; Ruikang K Wang
Journal:  Biomed Opt Express       Date:  2019-10-10       Impact factor: 3.732

2.  On the spectral signature of melanoma: a non-parametric classification framework for cancer detection in hyperspectral imaging of melanocytic lesions.

Authors:  Arturo Pardo; José A Gutiérrez-Gutiérrez; I Lihacova; José M López-Higuera; Olga M Conde
Journal:  Biomed Opt Express       Date:  2018-11-15       Impact factor: 3.732

3.  Comparative Analysis of Diagnostic Techniques for Melanoma Detection: A Systematic Review of Diagnostic Test Accuracy Studies and Meta-Analysis.

Authors:  Alessia Blundo; Arianna Cignoni; Tommaso Banfi; Gastone Ciuti
Journal:  Front Med (Lausanne)       Date:  2021-04-21

4.  Clinical evaluation of melanomas and common nevi by spectral imaging.

Authors:  Ilze Diebele; Ilona Kuzmina; Alexey Lihachev; Janis Kapostinsh; Alexander Derjabo; Lauma Valeine; Janis Spigulis
Journal:  Biomed Opt Express       Date:  2012-02-09       Impact factor: 3.732

5.  Non-invasive monitoring of ultrasound-stimulated microbubble radiation enhancement using photoacoustic imaging.

Authors:  K Briggs; A Al Mahrouki; J Nofiele; A El-Falou; M Stanisz; H C Kim; M C Kolios; G J Czarnota
Journal:  Technol Cancer Res Treat       Date:  2013-08-31

6.  Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis.

Authors:  Laura Rey-Barroso; Francisco J Burgos-Fernández; Xana Delpueyo; Miguel Ares; Santiago Royo; Josep Malvehy; Susana Puig; Meritxell Vilaseca
Journal:  Sensors (Basel)       Date:  2018-05-05       Impact factor: 3.576

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

Authors:  Ross Uthoff; Bofan Song; Melody Maarouf; Vivian Shi; Rongguang Liang
Journal:  J Biomed Opt       Date:  2020-06       Impact factor: 3.170

8.  An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis.

Authors:  Jacob Renzo Bauer; Jean-Baptiste Thomas; Jon Yngve Hardeberg; Rudolf M Verdaasdonk
Journal:  Sensors (Basel)       Date:  2019-11-05       Impact factor: 3.576

9.  Estimation of melanin and hemoglobin using spectral reflectance images reconstructed from a digital RGB image by the Wiener estimation method.

Authors:  Izumi Nishidate; Takaaki Maeda; Kyuichi Niizeki; Yoshihisa Aizu
Journal:  Sensors (Basel)       Date:  2013-06-19       Impact factor: 3.576

10.  Polarization-sensitive hyperspectral imaging in vivo: a multimode dermoscope for skin analysis.

Authors:  Fartash Vasefi; Nicholas MacKinnon; Rolf B Saager; Anthony J Durkin; Robert Chave; Erik H Lindsley; Daniel L Farkas
Journal:  Sci Rep       Date:  2014-05-12       Impact factor: 4.379

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