Evidence map›Paper›PMID 38849386›Full record

ArticleScientific reports2024

A new label free spiral sensor using impedance spectroscopy to characterize hepatocellular carcinoma in tissue and serum samples.

Reda Abdelbaset, Sherif M Shawky, Mohammed A A Abdullah, Omar E Morsy, Yahia A Yahia, Yehya H Ghallab, Marwa Matboli, Yehea Ismail

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Cell-Based Immuno-Biosensors Using Microfluidics.Sensors (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Review
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

8 authors.

Reda AbdelbasetBiomedical Engineering Department, Helwan University, Cairo, 11795, Egypt.
Sherif M ShawkyBiochemistry Department, Faculty of Pharmacy, Misr University for Science and Technology, Giza, 12566, Egypt.
Mohammed A A AbdullahCentre of Nanoelectronics and Devices (CND), The American University in Cairo (AUC), New Cairo, 11835, Egypt. mohammed.abdullah@alumni.albany.edu.
Omar E MorsyCentre of Nanoelectronics and Devices (CND), The American University in Cairo (AUC), New Cairo, 11835, Egypt.
Yahia A YahiaBiochemistry Department, Faculty of Pharmacy, Misr University for Science and Technology, Giza, 12566, Egypt.
Yehya H GhallabBiomedical Engineering Department, Helwan University, Cairo, 11795, Egypt.
Marwa MatboliBiochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, Cairo, 11591, Egypt.
Yehea IsmailCentre of Nanoelectronics and Devices (CND), The American University in Cairo (AUC), New Cairo, 11835, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) stands as the most prevalent form of primary liver cancer, predominantly affecting patients with chronic liver diseases such as hepatitis B or C-induced cirrhosis. Diagnosis typically involves blood tests (assessing liver functions and HCC biomarkers), imaging procedures such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), and liver biopsies requiring the removal of liver tissue for laboratory analysis. However, these diagnostic methods either entail lengthy lab processes, require expensive imaging equipment, or involve invasive techniques like liver biopsies. Hence, there exists a crucial need for rapid, cost-effective, and noninvasive techniques to characterize HCC, whether in serum or tissue samples. In this study, we developed a spiral sensor implemented on a printed circuit board (PCB) technology that utilizes impedance spectroscopy and applied it to 24 tissues and sera samples as proof of concept. This newly devised circuit has successfully characterized HCC and normal tissue and serum samples. Utilizing the distinct dielectric properties between HCC cells and serum samples versus the normal samples across a specific frequency range, the differentiation between normal and HCC samples is achieved. Moreover, the sensor effectively characterizes two HCC grades and distinguishes cirrhotic/non-cirrhotic samples from tissue specimens. In addition, the sensor distinguishes cirrhotic/non-cirrhotic samples from serum specimens. This pioneering study introduces Electrical Impedance Spectroscopy (EIS) spiral sensor for diagnosing HCC and liver cirrhosis in clinical serum-an innovative, low-cost, rapid (< 2 min), and precise PCB-based technology without elaborate sample preparation, offering a novel non-labeled screening approach for disease staging and liver conditions.

Indexed as

Carcinoma, HepatocellularDielectric SpectroscopyLiver NeoplasmsBiomarkers, TumorHumansLiverBiomarkers, TumorCapacitive sensorElectrical impedance spectroscopy (EIS)Hepatocellular carcinomaPhase anglePrinted circuit board (PCB)SerumTissues

Identifiers

PMID38849386
PMCPMC11161506

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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.