Literature DB >> 23296145

Poor correlation between spectrophotometric intracutaneous analysis and histopathology in melanoma and nonmelanoma lesions.

Karin Terstappen1, Mart Suurküla, Håkan Hallberg, Marica B Ericson, Ann-Marie Wennberg.   

Abstract

Spectrophotometric intracutaneous analysis (SIAscopy) is an imaging technique developed for diagnostics of pigmented skin lesions. By image analysis, the displayed images indicate the potential distribution and position of melanin, blood, and collagen within the lesion. A topographic comparison was performed between SIAscopic findings and histopathology. In total, 60 patients with suspicious pigmented skin lesions were included. The lesions were SIAscopically imaged and documented before excision and histopathological preparation. Topographical comparisons between SIAscopy findings and histopathology were made. A sensitivity and specificity of 24% and 84%, respectively, were obtained for invasive melanomas. The positive and negative predicted values were 58% and 54%, respectively. The features indicating dermal melanin, blood displacement and collagen holes did only show "no" to "slight" agreement with histopathology, i.e., κ ≤ 0.21. It was concluded that (i) SIAscopy-based diagnosis has low diagnostic accuracy for melanoma, (ii) single SIAscopic features do not provide reliable diagnostic information relating to the lesions internal structure on histopathology examination and (iii) SIAscopy cannot be used as a guide for localizing the maximum tumor thickness when performing the histopathological examination. The importance of validating new optical tools for tumor diagnostics with histopathological findings was demonstrated.

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Year:  2013        PMID: 23296145     DOI: 10.1117/1.JBO.18.6.061223

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


  6 in total

1.  In vivo isolation of the effects of melanin from underlying hemodynamics across skin types using spatial frequency domain spectroscopy.

Authors:  Rolf B Saager; Ata Sharif; Kristen M Kelly; Anthony J Durkin
Journal:  J Biomed Opt       Date:  2016-05-01       Impact factor: 3.170

2.  Portable (handheld) clinical device for quantitative spectroscopy of skin, utilizing spatial frequency domain reflectance techniques.

Authors:  Rolf B Saager; An N Dang; Samantha S Huang; Kristen M Kelly; Anthony J Durkin
Journal:  Rev Sci Instrum       Date:  2017-09       Impact factor: 1.523

3.  Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.

Authors:  Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Jacqueline Dinnes; Naomi Chuchu; Susan E Bayliss; Clare Davenport; Rubeta N Matin; Kathie Godfrey; Colette O'Sullivan; Abha Gulati; Sue Ann Chan; Alana Durack; Susan O'Connell; Matthew D Gardiner; Jeffrey Bamber; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

4.  Hyperspectral imaging in automated digital dermoscopy screening for melanoma.

Authors:  Anna-Marie Hosking; Brandon J Coakley; Dorothy Chang; Faezeh Talebi-Liasi; Samantha Lish; Sung Won Lee; Amanda M Zong; Ian Moore; James Browning; Steven L Jacques; James G Krueger; Kristen M Kelly; Kenneth G Linden; Daniel S Gareau
Journal:  Lasers Surg Med       Date:  2019-01-17       Impact factor: 4.025

5.  Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours-A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks.

Authors:  Vivian Lindholm; Anna-Maria Raita-Hakola; Leevi Annala; Mari Salmivuori; Leila Jeskanen; Heikki Saari; Sari Koskenmies; Sari Pitkänen; Ilkka Pölönen; Kirsi Isoherranen; Annamari Ranki
Journal:  J Clin Med       Date:  2022-03-30       Impact factor: 4.241

6.  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

  6 in total

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