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Intraradiological Pathology-Calibrated Electrical Impedance Spectroscopy in the Evaluation of Excision-Required Breast Lesions Publisher Pubmed



Mahdavi R1, 2 ; Mehrvarz S1, 2 ; Hoseinpour P1, 3 ; Yousefpour N1, 2 ; Abbasvandi F1, 4 ; Tayebi M5 ; Ataee H1, 2 ; Parniani M6 ; Abdolhoseini S1, 2 ; Hajighasemi F1, 2 ; Nourinejad Z6 ; Shojaeian F1, 2, 7 ; Ghafari H1, 2 ; Nikshoar MS1, 2 Show All Authors
Authors
  1. Mahdavi R1, 2
  2. Mehrvarz S1, 2
  3. Hoseinpour P1, 3
  4. Yousefpour N1, 2
  5. Abbasvandi F1, 4
  6. Tayebi M5
  7. Ataee H1, 2
  8. Parniani M6
  9. Abdolhoseini S1, 2
  10. Hajighasemi F1, 2
  11. Nourinejad Z6
  12. Shojaeian F1, 2, 7
  13. Ghafari H1, 2
  14. Nikshoar MS1, 2
  15. Abdolahad M1, 2, 8
Show Affiliations
Authors Affiliations
  1. 1. Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, 14395/515, Iran
  2. 2. University of Tehran (UT)&Tehran University of Medical Sciences (TUMS) Cancer Electronics Research Center, Tehran, Iran
  3. 3. SEPAS Pathology Laboratory, Tehran, Iran
  4. 4. ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  5. 5. Radiology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  6. 6. Pathology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  7. 7. School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  8. 8. Cancer Institute, Imam-Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran

Source: Medical Physics Published:2022


Abstract

Purpose: Evaluating a real-time complementary bioelectrical diagnostic device based on electrical impedance spectroscopy (EIS) for improving breast imaging-reporting and data system (BI-RADS) scoring accuracy, especially in high-risk or borderline breast diseases. The primary purpose is to characterize breast tumors based on their dielectric properties. Early detection of high-risk lesions and increasing the accuracy of tumor sampling and pathological diagnosis are secondary objectives of the study. Methods: The tumor detection probe (TDP) was first applied to the mouse model for electrical safety evaluations by electrical current measurement. Then it was utilized for characterization of 138 human palpable breast lesions that were to undergo core needle biopsy (CNB), vacuum-assisted biopsy (VAB), or fine needle aspiration (FNA) on the surgeon's requests. Impedance phase slope (IPS) in frequency ranges of 100– 500 kHz and impedance magnitude in f = 1 kHz were extracted as the classification parameters. Consistency of radiological and pathological declarations for the excisional recommendation was then compared with the IPS values. Results: Considering pathological results as the gold standard, meaningful correlations between IPS and pathophysiological status of lesions recommended for excision (such as atypical ductal hyperplasia, papillary lesions, complex sclerosing adenosis, and fibroadenoma) were observed (p < 0.0001). These pathophysiological properties may include cell size, membrane permeability, packing density, adenosis, cytoplasm structure, etc. Benign breast lesions showed IPS values greater than 0, while high-risk proliferative, precancerous, or cancerous lesions had negative IPS values. Statistical analysis showed 95% sensitivity with area under the curve (AUC) equal to 0.92. Conclusion: Borderline breast diseases and high-risk lesions that should be excised according to standard guidelines can be diagnosed with TDP before any sampling process. It is an important outcome for high-risk lesions that are radiologically underestimated to BI-RADS3, specifically in younger patients with dense breast masses that present challenges in mammographic and sonographic evaluations. Also, the lowest IPS value detects the most pathologic portions of the tumor for increasing sampling accuracy in large tumors. Significance: Precise detection of high-risk breast masses, which may be declared BI-RADS3 instead of BI-RADS4a. © 2022 American Association of Physicists in Medicine.