Literature DB >> 25394551

Delineating margins of lentigo maligna using a hyperspectral imaging system.

Noora Neittaanmäki-Perttu1, Mari Grönroos, Leila Jeskanen, Ilkka Pölönen, Annamari Ranki, Olli Saksela, Erna Snellman.   

Abstract

Lentigo maligna (LM) is an in situ form of melanoma which can progress into invasive lentigo maligna melanoma (LMM). Variations in the pigmentation and thus visibility of the tumour make assessment of lesion borders challenging. We tested hyperspectral imaging system (HIS) in in vivo preoperative delineation of LM and LMM margins. We compared lesion margins delineated by HIS with those estimated clinically, and confirmed histologically. A total of 14 LMs and 5 LMMs in 19 patients were included. HIS analysis matched the histo-pathological analysis in 18/19 (94.7%) cases while in 1/19 (5.3%) cases HIS showed lesion extension not confirmed by histopathology (false positives). Compared to clinical examination, HIS defined lesion borders more accurately in 10/19 (52.6%) of cases (wider, n = 7 or smaller, n = 3) while in 8/19 (42.1%) cases lesion borders were the same as delineated clinically as confirmed histologically. Thus, HIS is useful for the detection of subclinical LM/LMM borders.

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Year:  2015        PMID: 25394551     DOI: 10.2340/00015555-2010

Source DB:  PubMed          Journal:  Acta Derm Venereol        ISSN: 0001-5555            Impact factor:   4.437


  6 in total

1.  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

2.  FPI Based Hyperspectral Imager for the Complex Surfaces-Calibration, Illumination and Applications.

Authors:  Anna-Maria Raita-Hakola; Leevi Annala; Vivian Lindholm; Roberts Trops; Antti Näsilä; Heikki Saari; Annamari Ranki; Ilkka Pölönen
Journal:  Sensors (Basel)       Date:  2022-04-29       Impact factor: 3.847

3.  Hyperspectral and multispectral image processing for gross-level tumor detection in skin lesions: a systematic review.

Authors:  Eleni Aloupogianni; Masahiro Ishikawa; Naoki Kobayashi; Takashi Obi
Journal:  J Biomed Opt       Date:  2022-06       Impact factor: 3.758

4.  Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas: A Pilot Study.

Authors:  Janne Räsänen; Mari Salmivuori; Ilkka Pölönen; Mari Grönroos; Noora Neittaanmäki
Journal:  Acta Derm Venereol       Date:  2021-02-19       Impact factor: 3.875

5.  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

6.  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 in total

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