Evidence map›Paper›PMID 40180633›Full record

ArticleSurgery today2025

Impedance-based detection of cervical lymph-node involvement in thyroid cancer patients: a human model study.

Hossein Ataee, Mohammad Seraj, Reihane Mahdavi, Ali Fardoost, Abdollah Shafiee, Khosro Shamsi, Mohammadreza Fattahi, Hojat Ebrahiminik, Parisa Hoseinpour, Shahram Sane and 3 more

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Article in Surgery today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Hossein Ataee *Nano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Mohammad Seraj *Nano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Reihane Mahdavi *Nano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Ali FardoostNano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Abdollah ShafieeNano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Khosro ShamsiNano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Mohammadreza FattahiUT and TUMS Cancer Electronics Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Hojat EbrahiminikDepartment of Interventional Radiology and Radiation Sciences Research Center, Aja University of Medical Sciences, Tehran, Iran.
Parisa HoseinpourNano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Shahram SaneArmin Pathobiology Laboratory, Tehran, Iran.
Mehran GhazimoghaddamArmin Pathobiology Laboratory, Tehran, Iran.
Mohammad Esmaeel AkbariCancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Me-akbari@sbmu.ac.ir.ORCID http://orcid.org/0000-0003-0567-2044
Mohammad AbdolahadNano Bioelectronics Devices Lab (NBEL), Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran. m.abdolahad@ut.ac.ir.ORCID http://orcid.org/0000-0002-1091-3095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCurrent diagnostic modalities for differentiating between benign and malignant cervical lymph nodes in patients with thyroid cancer are imprecise and time-consuming. The real-time intraoperative detection of malignancy in suspicious lesions could improve the medical management of these patients. This human study was undertaken to evaluate a precise, newly developed Electrical Lymph-Node Scanning (ELS) system to facilitate the effective treatment of cervical LNs in thyroid cancer patients.

methodsUsing the ELS, we examined a collective 109 radiologically suspicious lymph nodes from 36 patients after dissection and compared the ELS results with the histopathological findings.

resultsA total of 27 involved lymph nodes were correctly diagnosed, while 75 reactive or free lymph nodes were correctly identified as uninvolved lymph nodes by ELS (as 3 false negatives and 4 false positives) with total sensitivity and specificity of 90% and 94.9%, respectively. The corresponding negative and positive predictive values were 87.1% and 96.2%, respectively.

conclusionsResults from this clinical study demonstrate the value of the ELS as a surgical assist adjunct for differentiating equivocal lesions during neck dissection surgery for patients with different types of thyroid cancer.

Indexed as

Electric ImpedanceLymphatic MetastasisLymph NodesThyroid NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNeckNeck DissectionPredictive Value of TestsSensitivity and SpecificityCervical lymph nodeImpedance baseSurgical assistThyroid cancer

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.