Literature DB >> 30859583

Technical Note: A new method to rapidly identify benign and malignant breast lumps through bioelectrical impedance spectroscopy.

Jian Wu1, Pin Wang1, Yan Tang2, Hong Liu1, Haobin Wang1, Wenjie Zhang1, Yan Zhang1, Liping Chen1, Zhangbo Xu1, Xinmin Yao1.   

Abstract

PURPOSE: To evaluate the effectiveness of Bioelectrical Impedance Spectroscopy (BIS) in order to rapidly distinguish malignant vs benign breast masses.
METHODS: A total of 622 breast masses from 489 patients were collected from January 2015 to June 2017. Every specimen was evaluated by a breast tissue bioimpedance analyzer (MScan1.0B) followed by morphological examination by pathologists. The results from BIS were compared with the morphological results from pathology (as a gold standard). The specificity and sensitivity of BIS were evaluated and the consistency test was performed.
RESULTS: Compared with the pathology standard, BIS had good sensitivity (92.4%), specificity (96.0%), false positive rate (3.96%), and false negative rate (7.58%). The positive likelihood ratio, negative likelihood ratio, positive predictive value, and negative predictive values of BIS were 23.36, 0.0789, 73.49%, 99.07%, respectively. The kappa value of BIS was 0.794 ± 0.038 in the consistency test.
CONCLUSION: Compared with the pathology standard, the BIS is an effective, convenient, and economical detection method to quickly differentiate benign and malignant breast masses with high accuracy. It may serve as a potential supplement of intraoperative pathological examinations.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  bioelectrical impedance spectroscopy; breast neoplasm; intraoperative detection; pathological examination

Mesh:

Year:  2019        PMID: 30859583     DOI: 10.1002/mp.13474

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

1.  Diagnostic test of bioimpedance-based neural network algorithm in early cervical cancer.

Authors:  Ling Mei; Jian Meng; Dongmei Wei; Qian Hu; Yueyue Chen; Tao Cui; Yueting Zhang; Qiao Li; Xiaoli Zhang; Yuqing Liu; Qian Wang; Lisha Ding; Tao Wang; Yukuan Feng; Wei Lei; Yanhui Deng; Xiaoyun Gong; Jingchun Ling; Xiaoyu Niu
Journal:  Ann Transl Med       Date:  2022-04

2.  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

  2 in total

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