Literature DB >> 11286578

Differentiation of mammographically suspicious lesions: evaluation of breast ultrasound, MRI mammography and electrical impedance scanning as adjunctive technologies in breast cancer detection.

A Malich1, T Boehm, M Facius, M G Freesmeyer, M Fleck, R Anderson, W A Kaiser.   

Abstract

AIM: Various modalities are used as an adjunct to mammography for differentiation of potentially suspicious breast lesions. Electrical impedance scanning (EIS) is a new technique based upon the principle that cancer cells exhibit altered local dielectric properties and thus show measurably higher conductivity values. The accuracy of differentiation of benign and malignant breast lesions was evaluated to determine whether EIS duplicates or supplements the results obtainable from ultrasound (US) or magnetic resonance imaging (MRI).
MATERIALS AND METHODS: One hundred mammographically suspicious lesions were examined using US, MRI and EIS. Definitive histology was acquired through either lesion biopsy or surgical excision.
RESULTS: Fifty of 62 malignant lesions were correctly identified using EIS (81% overall sensitivity), 24/38 benign lesions were correctly identified as benign (63% specificity). Negative predictive value and positive predictive value of 67 and 78% were observed, respectively. kappa-factor evaluation revealed a value of 0.82 between MRI and EIS and 0.62 between US and EIS.
CONCLUSIONS: EIS may be a valuable adjunct for differentiation of suspicious mammographic lesions. Based upon the calculated kappa-factor, EIS results supplement US examinations. Artifacts (superficial skin lesions, poor contact, air bubbles) currently result in the high false-positive rate of EIS.

Entities:  

Mesh:

Year:  2001        PMID: 11286578     DOI: 10.1053/crad.2000.0621

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

1.  Influence of size and depth on accuracy of electrical impedance scanning.

Authors:  Ansgar Malich; Mirjam Facius; Roselle Anderson; Joachim Böttcher; Dieter Sauner; Andreas Hansch; Christiane Marx; Alexander Petrovitch; Stefan Pfleiderer; Werner Kaiser
Journal:  Eur Radiol       Date:  2003-07-05       Impact factor: 5.315

2.  Computer-aided diagnostic models in breast cancer screening.

Authors:  Turgay Ayer; Mehmet Us Ayvaci; Ze Xiu Liu; Oguzhan Alagoz; Elizabeth S Burnside
Journal:  Imaging Med       Date:  2010-06-01

3.  Diagnostic accuracy and prognostic value of three-dimensional electrical impedance tomography imaging in patients with breast cancer.

Authors:  Feng Xu; Mengxin Li; Jie Li; Hongchuan Jiang
Journal:  Gland Surg       Date:  2021-09

Review 4.  The Accuracy of Electrical Impedance Tomography for Breast Cancer Detection: A Systematic Review and Meta-Analysis.

Authors:  Zahra Rezanejad Gatabi; Mehri Mirhoseini; Nasrin Khajeali; Iman Rezanezhad Gatabi; Maedeh Dabbaghianamiri; Sara Dorri
Journal:  Breast J       Date:  2022-05-26       Impact factor: 2.269

5.  A method for analyzing electrical impedance spectroscopy data from breast cancer patients.

Authors:  Bong Seok Kim; David Isaacson; Hongjun Xia; Tzu-Jen Kao; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

6.  Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.

Authors:  Mariko Goto; Koji Sakai; Hajime Yokota; Maki Kiba; Mariko Yoshida; Hiroshi Imai; Elisabeth Weiland; Isao Yokota; Kei Yamada
Journal:  Eur Radiol       Date:  2018-08-07       Impact factor: 5.315

Review 7.  Technology review: the use of electrical impedance scanning in the detection of breast cancer.

Authors:  Tyna A Hope; Siân E Iles
Journal:  Breast Cancer Res       Date:  2003-11-13       Impact factor: 6.466

8.  The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI.

Authors:  Ping Ni Wang; Julia V Velikina; Leah C Henze Bancroft; Alexey A Samsonov; Frederick Kelcz; Roberta M Strigel; James H Holmes
Journal:  Tomography       Date:  2022-06-14

Review 9.  Current applications and future direction of MR mammography.

Authors:  P J Kneeshaw; L W Turnbull; P J Drew
Journal:  Br J Cancer       Date:  2003-01-13       Impact factor: 7.640

  9 in total

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