Novel EIS postprocessing algorithm for breast cancer diagnosis

被引：37

作者：

Glickman, YA ^{[1
]}

Filo, O ^{[1
]}

Nachaliel, U ^{[1
]}

Lenington, S ^{[1
]}

Amin-Spector, S ^{[1
]}

Ginor, R ^{[1
]}

机构：

[1] TransScan Med Ltd, IL-10550 Migdal Haemeq, Israel

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2002年 / 21卷 / 06期

关键词：

breast cancer; electrical impedance scanning; medical diagnosis; postprocessing algorithm;

D O I：

10.1109/TMI.2002.800605

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new postprocessing algorithm was developed for the diagnosis of breast cancer using electrical impedance scanning. This algorithm automatically recognizes bright focal spots in the conductivity map of the breast. Moreover, this algorithm discriminates between malignant and benign/normal tissues using two main predictors: phase at 5 kHz and crossover frequency, the frequency at which the imaginary part of the admittance is at its maximum. The thresholds for these predictors were adjusted using a learning group consisting of 83 carcinomas and 378 benign cases. In addition, the algorithm was verified on an independent test group including 87 carcinomas, 153 benign cases and 356 asymptomatic cases. Biopsy was used as gold standard for determining pathology in the symptomatic cases. A sensitivity of 84% and a specificity of 52% were obtained for the test group.

引用

页码：710 / 712

页数：3

共 13 条

[1] The T-SCAN™ technology:: electrical impedance as a diagnostic tool for breast cancer detection [J].