Literature DB >> 15827796

Electrical impedance scanning of thyroid nodules before thyroid surgery: a prospective study.

Alexander Stojadinovic1, Scott I Fields, Craig D Shriver, Sarah Lenington, Ron Ginor, George E Peoples, Henry B Burch, Tamar Peretz, Herbert R Freund, Aviram Nissan.   

Abstract

BACKGROUND: Electrical impedance scanning (EIS) is a novel imaging technique based on differential electrical conductivity and capacitance of malignant and normal human tissues. The aim of this study was to evaluate the accuracy of EIS in the detection of thyroid malignancies.
METHODS: Patients with thyroid nodules scheduled for thyroid surgery were eligible for the study. Enrolled patients underwent EIS with a T-Scan 2000ED. Nodule location, size, and type (cystic vs. solid) measured by ultrasound, cytology results, thyroid conductivity, and capacitance calculated by EIS were recorded. EIS results were interpreted as positive or negative for malignancy and compared with final histopathology results. Study end points included EIS accuracy, sensitivity, specificity, negative and positive predictive values, and false-positive and false-negative rates.
RESULTS: Sixty-four patients were enrolled onto the study, and all underwent either lobectomy-isthmusectomy (20%) or total thyroidectomy (80%). The mean tumor diameter was 2.64 +/- 14.8 mm. Thyroid cancers were identified by histology in 30 patients (46.9%). There were 11 false-positive and four false-negative cases. The overall diagnostic accuracy of EIS was 76.6% (49 of 64 correct diagnoses). The sensitivity and specificity of EIS were 86.7% (26 of 30 true positive) and 67.6% (23 of 34 true negative), respectively. The corresponding positive and negative predictive values were 70.3% and 85.2%.
CONCLUSIONS: EIS is a potentially useful imaging modality for differentiating thyroid neoplasms. If these results are confirmed in large-scale trials, EIS may be an important part of the evaluation of thyroid nodules.

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Year:  2005        PMID: 15827796     DOI: 10.1245/ASO.2005.03.062

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  5 in total

1.  Classification of thyroid nodules using a resonance-frequency-based electrical impedance spectroscopy: a preliminary assessment.

Authors:  Bin Zheng; Mitchell E Tublin; Amy H Klym; David Gur
Journal:  Thyroid       Date:  2013-06-21       Impact factor: 6.568

2.  Development of a clinical decision model for thyroid nodules.

Authors:  Alexander Stojadinovic; George E Peoples; Steven K Libutti; Leonard R Henry; John Eberhardt; Robin S Howard; David Gur; Eric A Elster; Aviram Nissan
Journal:  BMC Surg       Date:  2009-08-10       Impact factor: 2.102

3.  Electrical Impedance Analysis for Lung Cancer: A Prospective, Multicenter, Blind Validation Study.

Authors:  Dawei Yang; Chuanjia Gu; Ye Gu; Xiaodong Zhang; Di Ge; Yong Zhang; Ningfang Wang; Xiaoxuan Zheng; Hao Wang; Li Yang; Saihua Chen; Pengfei Xie; Deng Chen; Jinming Yu; Jiayuan Sun; Chunxue Bai
Journal:  Front Oncol       Date:  2022-07-20       Impact factor: 5.738

4.  Bioelectrical impedance spectroscopy can assist to identify the parathyroid gland during thyroid surgery.

Authors:  Bin Wang; Zaoyang Liu; Jian Wu; Ying Liu; Pin Wang; Hong Liu; Haobin Wang; Tielin Wang; Juan Wang; Yan Tang; Junyan Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-15       Impact factor: 6.055

5.  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

  5 in total

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