Evidence map›Paper›PMID 33584916›Full record

ArticleJournal of electrical bioimpedance2018

Cancer Detection Based on Electrical Impedance Spectroscopy: A Clinical Study.

Sepideh Mohammadi Moqadam, Parvind Kaur Grewal, Zahra Haeri, Paris Ann Ingledew, Kirpal Kohli, Farid Golnaraghi

Open access · goldAbstract read
In one paragraph

Article in Journal of electrical bioimpedance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 62 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Sepideh Mohammadi MoqadamSchool of Mechatronic Systems Engineering, Simon Fraser University, 250-13450 102nd Avenue, Surrey, Canada, BC V3T 0A3.
Parvind Kaur GrewalSchool of Mechatronic Systems Engineering, Simon Fraser University, 250-13450 102nd Avenue, Surrey, Canada, BC V3T 0A3.
Zahra HaeriSchool of Mechatronic Systems Engineering, Simon Fraser University, 250-13450 102nd Avenue, Surrey, Canada, BC V3T 0A3.
Paris Ann IngledewBC Cancer Agency Provincial Health Services Authority, 13750 96 Ave, Surrey, Canada, BC V3V 1Z2.
Kirpal KohliBC Cancer Agency Provincial Health Services Authority, 13750 96 Ave, Surrey, Canada, BC V3V 1Z2.
Farid GolnaraghiSchool of Mechatronic Systems Engineering, Simon Fraser University, 250-13450 102nd Avenue, Surrey, Canada, BC V3T 0A3.
Simon Fraser University · CABC Cancer Agency · CAProvincial Health Services Authority · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An electrical Impedance based tool is designed and developed to aid physicians performing clinical exams focusing on cancer detection. Current research envisions improvement in sensor-based measurement technology to differentiate malignant and benign lesions in human subjects. The tool differentiates malignant anomalies from nonmalignant anomalies using Electrical Impedance Spectroscopy (EIS). This method exploits cancerous tissue behavior by using EIS technique to aid early detection of cancerous tissue. The correlation between tissue electrical properties and tissue pathologies is identified by offering an analysis technique based on the Cole model. Additional classification and decision-making algorithm is further developed for cancer detection. This research suggests that the sensitivity of tumor detection will increase when supplementary information from EIS and built-in intelligence are provided to the physician.

Indexed as

Cole modelearly cancer detectionElectrical Impedance (EI)electrical Impedance spectroscopy (EIS)fitting-modelLAD error function

Identifiers

PMID33584916
PMCPMC7852020
OpenAlexW2888638072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.