Literature DB >> 12877689

Electrical impedance scanning: a new approach to skin cancer diagnosis.

Yaël A Glickman1, Orna Filo, Magda David, Avner Yayon, Moris Topaz, Bosmat Zamir, Alexander Ginzburg, Dganit Rozenman, Gad Kenan.   

Abstract

BACKGROUND/AIMS: Skin cancer diagnosis depends, to a great extent, on visual inspection and histopathological examination of excised tissues. The aim of this study is to evaluate the ability of electrical impedance scanning to differentiate between benign and malignant skin lesions.
METHODS: A preclinical study was conducted on 40 nude mice injected subcutaneously with a human melanoma strain. Impedance measurements were recorded every week to correlate electrical changes with tumor growth and histological findings. A clinical study was also performed on 178 human suspicious skin lesions before excision. The impedance measurements were correlated to the histopathological results.
RESULTS: Normalized conductivity and capacitance, recorded on growing skin tumors in nude mice, were shown to change relative to lesion size. Necrosis, present in most of the larger lesions, was associated with a decrease in the electrical conductivity. Similar electrical parameters were used to classify human melanoma lesions with 92% sensitivity and 67% specificity. In addition, four out of five BCC lesions were correctly diagnosed. Moreover, dysplastic lesions were diagnosed with 91% sensitivity and 59% specificity. For comparison, physicians diagnosed melanoma lesions with 75% sensitivity and 87% specificity and dysplastic lesions with 46% sensitivity and 80% specificity.
CONCLUSIONS: The animal study showed that electrical impedance measurements reflect morphological changes related to the growth of a cancerous skin lesion. These findings are in agreement with a preliminary clinical study. Electrical Impedance Scanning can therefore be considered as an objective and non-invasive tool for differentiation between benign and malignant skin lesions.

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Mesh:

Year:  2003        PMID: 12877689     DOI: 10.1034/j.1600-0846.2003.00022.x

Source DB:  PubMed          Journal:  Skin Res Technol        ISSN: 0909-752X            Impact factor:   2.365


  8 in total

1.  Mapping Electrical Impedance Spectra of the Healthy Oral Mucosa: a Pilot Study.

Authors:  Ivica Richter; Ivan Alajbeg; Vanja Vučićević Boras; Ana Andabak Rogulj; Vlaho Brailo
Journal:  Acta Stomatol Croat       Date:  2015-12

2.  Young and advanced tumor-some 2D electrodynamic distinctions: melanoma and satellite during a vascular occlusion test: feasibility study.

Authors:  Y Babich; M Nuzhdina; S Syniuta
Journal:  Med Biol Eng Comput       Date:  2017-07-10       Impact factor: 2.602

3.  Electric impedance microflow cytometry for characterization of cell disease states.

Authors:  E Du; Sungjae Ha; Monica Diez-Silva; Ming Dao; Subra Suresh; Anantha P Chandrakasan
Journal:  Lab Chip       Date:  2013-10-07       Impact factor: 6.799

4.  Cancer Detection Based on Electrical Impedance Spectroscopy: A Clinical Study.

Authors:  Sepideh Mohammadi Moqadam; Parvind Kaur Grewal; Zahra Haeri; Paris Ann Ingledew; Kirpal Kohli; Farid Golnaraghi
Journal:  J Electr Bioimpedance       Date:  2018-08-16

5.  Electrical Characterization of Basal Cell Carcinoma Using a Handheld Electrical Impedance Dermography Device.

Authors:  Xuesong Luo; Ye Zhou; Tristan Smart; Douglas Grossman; Benjamin Sanchez
Journal:  JID Innov       Date:  2021-11-26

Review 6.  Skin cancer detection using non-invasive techniques.

Authors:  Vigneswaran Narayanamurthy; P Padmapriya; A Noorasafrin; B Pooja; K Hema; Al'aina Yuhainis Firus Khan; K Nithyakalyani; Fahmi Samsuri
Journal:  RSC Adv       Date:  2018-08-06       Impact factor: 4.036

7.  Melanoma Detection by AFM Indentation of Histological Specimens.

Authors:  Byoungjun Jeon; Hyo Gi Jung; Sang Won Lee; Gyudo Lee; Jung Hee Shim; Mi Ok Kim; Byung Jun Kim; Sang-Hyon Kim; Hyungbeen Lee; Sang Woo Lee; Dae Sung Yoon; Seong Jin Jo; Tae Hyun Choi; Wonseok Lee
Journal:  Diagnostics (Basel)       Date:  2022-07-17

8.  In vitro differential diagnosis of clavus and verruca by a predictive model generated from electrical impedance.

Authors:  Chien-Ya Hung; Pei-Lun Sun; Shu-Jen Chiang; Fu-Shan Jaw
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

  8 in total

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