Electrical lymph node scanning (ELS) system for real-time intra-operative detection of involved axillary lymph nodes in adjuvant breast cancer patients.

Autor: Abbasvandi F; ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, P.O. Box 1517964311, Tehran, Iran.; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mahdavi R; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Bayat M; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Hajighasemi F; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Jahanbakhshi F; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Aghaei F; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Sami N; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.; Student Research Committee, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran., Khoundabi B; Iran-Helal Institute of Applied Science and Technology, Red Crescent Society of Iran, Tehran, Iran.; Research Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran., Ataee H; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Yousefpour N; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Hoseinpour P; ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, P.O. Box 1517964311, Tehran, Iran.; SEPAS Pathology Laboratory, Tehran, Iran., Mousavi Kiasary SMS; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Omrani Hashemi M; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Shojaeian F; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran., Akbari A; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Bagherhosseini N; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Moradi A; Department of Pathology, Shohada Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Akbari ME; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Me-akbari@sbmu.ac.ir., Abdolahad M; Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran. m.abdolahad@ut.ac.ir.; Cancer Institute, Imam-Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran. m.abdolahad@ut.ac.ir.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Jun 05; Vol. 14 (1), pp. 12900. Date of Electronic Publication: 2024 Jun 05.
DOI: 10.1038/s41598-024-61600-7
Abstrakt: Lymph node (LN) status is an essential prognostic factor in breast cancer (BC) patients, with an important role in the surgical and therapeutic plan. Recently, we have been developed a novel system for real-time intra-operative electrical LN scanning in BC patients. The ELS scores were calibrated by pathological evaluation of the LNs. Herein, we evaluated the efficacy of ELS in a prospective study for non-chemo-treated breast cancer patients. This is a prospective study in which ELS scores are blind for pathologists who declare the clearance or involvement of LNs based on permanent pathology as the gold standard. ELS and frozen-section (FS) pathology results were achieved intra-operatively, and samples were sent for the permanent pathology. The score of ELS did not affect the surgeons' decision, and the treatment approach was carried out based on FS pathology and pre-surgical data, such as imaging and probable biopsies. Patients were recruited from October 2021 through November 2022, and 381 lymph nodes of 97 patients were included in the study. In this study we recruited 38 patients (39.2%) with sentinel lymph node biopsy (SLNB) and 59 patients (60.8%) with ALND. Of the 381 LNs scored by ELS, 329 sentinel LNs underwent routine pathology, while others (n = 52) underwent both FS and permanent pathology. ELS showed a sensitivity of 91.4% for node-positive patients, decreasing to 84.8% when considering all LNs. Using ROC analysis, ELS diagnosis showed a significant AUC of 0.878 in relation to the permanent pathology gold standard. Comparison of ELS diagnosis for different tumor types and LN sizes demonstrated no significant differences, while increasing LN size correlated with enhanced ELS sensitivity. This study confirmed ELS's efficacy in real-time lymph node detection among non-chemo-treated breast cancer patients. The use of ELS's pathological scoring for intra-operative LN diagnosis, especially in the absence of FS pathology or for non-sentinel LN involvement, could improve prognosis and reduce complications by minimizing unnecessary dissection.
(© 2024. The Author(s).)
Databáze: MEDLINE
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