Literature DB >> 18050282

Electrical impedance scanning as a new breast cancer risk stratification tool for young women.

Alexander Stojadinovic1, Aviram Nissan, Craig D Shriver, Elizabeth A Mittendorf, Mark D Akin, Vivian Dickerson, Sarah Lenington, Lawrence D Platt, Thomas Stavros, Steven R Goldstein, Orah Moskovitz, Zahava Gallimidi, Scott I Fields, Arieh Yeshaya, Tanir M Allweis, Raymond Manassa, Itzhak Pappo, Ron X Ginor, Ralph B D'Agostino, David Gur.   

Abstract

BACKGROUND: Electrical impedance scanning (EIS) measures changes in breast tissue associated with breast cancer (Br-Ca) development. The T-Scan(tm2000 (ED is designed to use EIS to identify women ages 30-39 with elevated risk of breast cancer (i.e., T-Scan+ women). AIM: To estimate the relative probability of breast cancer in a T-Scan+ woman compared to a randomly selected young woman.
METHODS: A prospective, two-cohort trial was conducted in pre-menopausal women. The Specificity (S(p))-Cohort evaluated T-Scan specificity in 1,751 asymptomatic women ages 30-39. The Sensitivity)S(n))-Cohort evaluated T-Scan sensitivity in 390 women ages 45-30 scheduled for biopsy. Specificity, sensitivity, and conservative estimate of disease prevalence were used to calculate relative probability.
RESULTS: In the S(p)-Cohort, 93 of 1,751 women were T-Scan+ (S(p) = 94.7%; 95% CI: 93.7-95.7%). In the S(n)-Cohort, 23 of 87 biopsy-proven cancers were T-Scan+ (S(n) = 26.4%; 95% CI: 17.4-35.4%). Given S(p) = 94.7%, S(n) = 26.4% and prevalence of 1.5 cancers/1,000 women (ages 30-39), the relative probability of a T-Scan+ woman having Br-Ca is 4.95: (95% CI: 3.16-7.14).
CONCLUSION: EIS can identify a subset of young women with a relative probability of breast cancer almost five times greater than in the population of young women at-large. T-Scan+ women have a sufficiently high risk of Br-Ca to warrant further surveillance or imaging.

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Year:  2008        PMID: 18050282     DOI: 10.1002/jso.20931

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  12 in total

1.  The Future of Breast Cancer Diagnostics.

Authors:  Felix Diekmann; Susanne Diekmann
Journal:  Breast Care (Basel)       Date:  2008-12-05       Impact factor: 2.860

2.  A preliminary evaluation of multi-probe resonance-frequency electrical impedance based measurements of the breast.

Authors:  Bin Zheng; Dror Lederman; Jules H Sumkin; Margarita L Zuley; Michelle Z Gruss; Linda S Lovy; David Gur
Journal:  Acad Radiol       Date:  2010-12-03       Impact factor: 3.173

3.  Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification.

Authors:  Xingwei Wang; Dror Lederman; Jun Tan; Xiao Hui Wang; Bin Zheng
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4.  Use of Electrical Impedance Spectroscopy for Intraoperative Tissue Differentiation During Thyroid and Parathyroid Surgery.

Authors:  Sarah L Hillary; Brian H Brown; Nicola J Brown; Saba P Balasubramanian
Journal:  World J Surg       Date:  2020-02       Impact factor: 3.352

5.  A GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopy.

Authors:  Dror Lederman; Bin Zheng; Xingwei Wang; Jules H Sumkin; David Gur
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

Review 6.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

7.  Real-time electrical impedance variations in women with and without breast cancer.

Authors:  Ryan J Halter; Alex Hartov; Steven P Poplack; Roberta diFlorio-Alexander; Wendy A Wells; Kari M Rosenkranz; Richard J Barth; Peter A Kaufman; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2014-07-24       Impact factor: 10.048

Review 8.  Future directions for the early detection of recurrent breast cancer.

Authors:  Erika J Schneble; Lindsey J Graham; Matthew P Shupe; Frederick L Flynt; Kevin P Banks; Aaron D Kirkpatrick; Aviram Nissan; Leonard Henry; Alexander Stojadinovic; Nathan M Shumway; Itzhak Avital; George E Peoples; Robert F Setlik
Journal:  J Cancer       Date:  2014-03-16       Impact factor: 4.207

9.  Modern breast cancer detection: a technological review.

Authors:  Adam B Nover; Shami Jagtap; Waqas Anjum; Hakki Yegingil; Wan Y Shih; Wei-Heng Shih; Ari D Brooks
Journal:  Int J Biomed Imaging       Date:  2009-12-28

10.  Noninvasive pulmonary nodule characterization using transcutaneous bioconductance: Preliminary results of an observational study.

Authors:  Joanna Gariani; Steve P Martin; Anne-Lise Hachulla; Wolfram Karenovics; Dan Adler; Paola M Soccal; Chirstoph D Becker; Xavier Montet
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

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