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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
05 06 2024
Historique:
received: 18 09 2023
accepted: 07 05 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38839807
doi: 10.1038/s41598-024-61600-7
pii: 10.1038/s41598-024-61600-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12900

Informations de copyright

© 2024. The Author(s).

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Auteurs

Fereshteh 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.

Reihane Mahdavi (R)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Mahdis Bayat (M)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Farzane Hajighasemi (F)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Fahimeh Jahanbakhshi (F)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Faeze Aghaei (F)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Nafiseh 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.

Batoul 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.

Hossein Ataee (H)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Narges Yousefpour (N)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Parisa Hoseinpour (P)

ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, P.O. Box 1517964311, Tehran, Iran.
SEPAS Pathology Laboratory, Tehran, Iran.

Seyed Mohamad Sadegh 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.

Maryam Omrani Hashemi (M)

Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Fatemeh Shojaeian (F)

Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Atieh Akbari (A)

Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Najmeh Bagherhosseini (N)

Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Afshin Moradi (A)

Department of Pathology, Shohada Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohammad Esmaeil Akbari (ME)

Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Me-akbari@sbmu.ac.ir.

Mohammad 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.

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