High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment

High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment Publisher

Mokhtari Dowlatabad H¹ ; Mamdouh A¹ ; Yousefpour N¹ ; Mahdavi R¹ ; Zandi A¹ ; Hoseinpour P² ; Moosavikiasari SMS¹ ; Abbasvandi F³ ; Kordehlachin Y¹ ; Parniani M⁴ ; Mohammadpouraghdam K⁵ ; Faranoush P^{1, 6} ; Foroughigilvaee MR^{1, 6} ; Abdolahad M^{1, 7}

Show Affiliations

1. Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, 14399-57131, Iran
2. Department of Pathology, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, 15179-64311, Iran
3. ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, 15179-64311, Iran
4. Pathology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, 15179-64311, Iran
5. Center of Excellence for Applied Electromagnetic Systems, University of Tehran, Tehran, 14399-57131, Iran
6. Pediatric Growth and Development Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, 14496-14535, Iran
7. Cancer Electronics Research Center, Tehran University of Medical Sciences, Tehran, 14197-33141, Iran

Source: Diagnostics Published:2023

Abstract

A gigahertz (GHz) range antenna formed by a coaxial probe has been applied for sensing cancerous breast lesions in the scanning platform with the assistance of a suction tube. The sensor structure was a planar central layer and a metallic sheath of size of 3 cm2 connected to a network analyzer (keySight FieldFox N9918A) with operational bandwidth up to 26.5 GHz. Cancer tumor cells have significantly higher water content (as a dipolar molecule) than normal breast cells, changing their polarization responses and dielectric losses to incoming GHz-based stimulation. Principal component analysis named S11, related to the dispersion ratio of the input signal, is used as a parameter to identify malignant tumor cells in a mouse model (in vivo) and tumor specimens of breast cancer patients (in vitro) (both central and marginal parts). The results showed that S11 values in the frequency range from 5 to 6 GHz were significantly higher in cancer-involved breast lesions. Histopathological analysis was the gold standard for achieving the S11 calibration to distinguish normal from cancerous lesions. Our calibration on tumor specimens presented 82% positive predictive value (PPV), 100% negative predictive value (NPV), and 86% accuracy. Our goal is to apply this system as an in vivo non-invasive tumor margin scanner after further investigations in the future. © 2023 by the authors.

2. Clinical Validation on Role of Cancer Diagnostic Probe in Detecting the Involved Cavity Margins Missed in Permanent Pathology of Tumor Side in Breast Cancer Surgery, Diagnostic Pathology (2024)

3. Real-Time Tracking of Hypoxia Glycolysis in Conization Samples for Cervical Intraepithelial Neoplasia Detection, Tehran University Medical Journal (2023)

4. Evaluation of the Concordance of Cancer Diagnostic Probe Findings During Surgery and Suspected Distortion in Pre-Surgical Mammography Based on Pathology, Indian Journal of Surgical Oncology (2025)

5. Accuracy of Cancer Diagnostic Probe for Intra-Surgical Checking of Cavity Side Margins in Neoadjuvant Breast Cancer Cases: A Human Model Study, International Journal of Medical Robotics and Computer Assisted Surgery (2022)

Experts (# of related papers)

Soheila Sarmadi (1)

Elham Shirali (1)

Style	Citing Format
MLA	Mokhtari Dowlatabad H, et al.. "High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment." Diagnostics, vol. 13, no. 2, 2023, pp. -.
APA	Mokhtari Dowlatabad H, Mamdouh A, Yousefpour N, Mahdavi R, Zandi A, Hoseinpour P, Moosavikiasari SMS, Abbasvandi F, Kordehlachin Y, Parniani M, Mohammadpouraghdam K, Faranoush P, Foroughigilvaee MR, Abdolahad M (2023). High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment. Diagnostics, 13(2), -.
Chicago	Mokhtari Dowlatabad H, Mamdouh A, Yousefpour N, Mahdavi R, Zandi A, Hoseinpour P, Moosavikiasari SMS, et al.. "High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment." Diagnostics 13, no. 2 (2023): -.
Harvard	Mokhtari Dowlatabad H et al. (2023) 'High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment', Diagnostics, 13(2), pp. -.
Vancouver	Mokhtari Dowlatabad H, Mamdouh A, Yousefpour N, Mahdavi R, Zandi A, Hoseinpour P, et al.. High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment. Diagnostics. 2023;13(2):-.
BibTex	@article{ author = {Mokhtari Dowlatabad H and Mamdouh A and Yousefpour N and Mahdavi R and Zandi A and Hoseinpour P and Moosavikiasari SMS and Abbasvandi F and Kordehlachin Y and Parniani M and Mohammadpouraghdam K and Faranoush P and Foroughigilvaee MR and Abdolahad M}, title = {High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment}, journal = {Diagnostics}, volume = {13}, number = {2}, pages = {-}, year = {2023} }
RIS	TY - JOUR AU - Mokhtari Dowlatabad H AU - Mamdouh A AU - Yousefpour N AU - Mahdavi R AU - Zandi A AU - Hoseinpour P AU - Moosavikiasari SMS AU - Abbasvandi F AU - Kordehlachin Y AU - Parniani M AU - Mohammadpouraghdam K AU - Faranoush P AU - Foroughigilvaee MR AU - Abdolahad M TI - High-Frequency (30 Mhz–6 Ghz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment JO - Diagnostics VL - 13 IS - 2 SP - EP - PY - 2023 ER -

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