Evidence map›Paper›PMID 38398184›Full record

ArticleCancers2024

Dielectric Characterization of Ex-Vivo Breast Tissues: Differentiation of Tumor Types through Permittivity Measurements.

Elizabeth G Fernández-Aranzamendi, Patricia R Castillo-Araníbar, Ebert G San Román Castillo, Belén S Oller, Luz Ventura-Zaa, Gelber Eguiluz-Rodriguez, Vicente González-Posadas, Daniel Segovia-Vargas

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Real-Time Differentiation Between Benign and Malignant Breast Tumors and Other Tissues Using Dielectric Properties.Medical science monitor : international medical journal of experimental and clinical research · 2025
    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

8 authors at 2 institutions in 2 countries.

Elizabeth G Fernández-AranzamendiDepartment of Signal Theory and Communications, University Carlos III of Madrid, 28911 Madrid, Spain.
Patricia R Castillo-AraníbarDepartment de Ingeniería Eléctrica y Electrónica, Universidad Católica San Pablo, Arequipa 04001, Peru.
Ebert G San Román CastilloDepartment of Signal Theory and Communications, University Carlos III of Madrid, 28911 Madrid, Spain.
Belén S OllerDepartment of Signal Theory and Communications, University Carlos III of Madrid, 28911 Madrid, Spain.
Luz Ventura-ZaaDepartment of Oncology Medicine, Regional Institute of Neoplastic Diseases, Arequipa 04002, Peru.
Gelber Eguiluz-RodriguezDepartment of Oncology Medicine, Regional Institute of Neoplastic Diseases, Arequipa 04002, Peru.
Vicente González-PosadasDepartment of Signal Theory and Communications, University Carlos III of Madrid, 28911 Madrid, Spain.
Daniel Segovia-VargasDepartment of Signal Theory and Communications, University Carlos III of Madrid, 28911 Madrid, Spain.ORCID 0000-0002-6837-9075
Universidad Carlos III de Madrid · ESUniversidad Católica San Pablo · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early analysis and diagnosis of breast tumors is essential for either quickly launching a treatment or for seeing the evolution of patients who, for instance, have already undergone chemotherapy treatment. Once tissues are excised, histological analysis is the most frequent tool used to characterize benign or malignant tumors. Dielectric microwave spectroscopy makes use of an open-ended coaxial probe in the 1-8 GHz frequency range to quickly identify the type of tumor (ductal carcinoma, lobular carcinoma, mucinous carcinoma and fibroadenoma). The experiment was undertaken with data from 70 patients who had already undergone chemotherapy treatment, which helped to electrically map the histological tissues with their electric permittivity. Thus, the variations in the permittivity of different types of tumors reveal distinctive patterns: benign tumors have permittivity values lower than 35, while malignant ones range between 40 and 60. For example, at a frequency of 2 GHz, the measured permittivity was 45.6 for ductal carcinoma, 33.1 for lobular carcinoma, 59.5 for mucinous carcinoma, and 27.6 for benign tumors. This differentiation remains consistent in a frequency range of 1 to 4.5 GHz. These results highlight the effectiveness of these measurements in the classification of breast tumors, providing a valuable tool for quick and accurate diagnosis and effective treatment.

Indexed as

breastcoaxial probedielectric characterizationmeasurementsradiofrequencytumor

Identifiers

PMID38398184
PMCPMC10886458
OpenAlexW4391837164

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.