Evidence map›Paper›PMID 40940299›Full record

ArticleMedical physics2025

Feasibility of tumor detection with a transmission-based microwave imaging system.

Pedram Mojabi, Roger Y Tsang, Bobbie Docktor, Danielle Deutscher, Anita Garland, Md Mahsin, Jeremie Bourqui, Elise Fear

Registry-linked trialAbstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07487792 (Feasibility of Imaging Breast Implants With a Transmission-based Transmission Scanner), which is not on this 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.

NCT07487792 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Feasibility of Imaging Breast Implants With a Transmission-based Transmission Scanner

TypeinterventionalSponsorUniversity of CalgaryRan2026 to 2026Enrolled10ConditionsBreast - FemaleArmsWVI-MIS-03-2025
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

8 authors.

Pedram MojabiElectrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada.
Roger Y TsangDepartment of Medical Oncology, University of Calgary, Calgary, Alberta, Canada.
Bobbie DocktorDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.
Danielle DeutscherElectrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada.
Anita GarlandElectrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada.
Md MahsinPrecision Oncology Hub, Arnie Charbonneau Cancer Institute, Calgary, Canada.
Jeremie BourquiElectrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada.
Elise FearElectrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada.

Funding

Alberta Cancer FoundationNatural Sciences and Engineering Research Council of CanadaT. Chen Fong Postdoctoral Fellowship in Medical Imaging Science
6 · The paper itself

Abstract

backgroundMicrowave imaging has been proposed for breast cancer detection, relying on differences between the microwave frequency properties of healthy and cancerous tissues. Specifically, localized increases in permittivity and/or conductivity may be identified in images of the breast created with microwave tomography. In radar-based images, responses may be noted where property changes occur. Our team has developed a microwave imaging approach that creates maps of permittivity by analyzing the characteristics of signals transmitted through the tissues, scanning the breast in views similar to mammography. PURPOSE: This study aims to assess the feasibility of tumor detection with a transmission-based microwave imaging system. Specifically, both breasts of a control group and a group of women with a cancer diagnosis are scanned in both cranial-caudal (CC) and medial-lateral oblique (MLO) orientations to facilitate comparison with mammography.

methodsThe microwave scanner consists of planar transmit and receive arrays that are placed in contact with the breast. The arrays are placed horizontally to collect the CC view, then tilted to an angle of 45 degrees to collect the MLO view. Signals with frequency content from 0.1 to 8 GHz are transmitted through the tissue, and the characteristics of the detected signals are used to estimate the microwave frequency properties (permittivity). Estimates at each sensor pair are mapped to the imaging plane. The average microwave frequency properties are calculated for the breast region identified in each image. Images are also segmented using k-means and thresholding to further explore tumor detection. Statistical analysis is applied, specifically analysis of variance (ANOVA) to determine differences between views and groups.

results20 healthy participants and 14 cancer patients are scanned. Right and left breasts are compared for each patient. Consistency is noted when comparing the CC scans of the breasts of healthy participants; similar observations are made for the MLO scans. Similarity between CC and MLO views of the same breast is also noted and confirmed via ANOVA testing. For patients with confirmed cancer, greater differences are noted between the breasts in at least one view when observing images and average properties. The ratio of the average permittivity of the cancerous breast to the contralateral breast is significantly different than the ratio observed in healthy volunteers when considering CC views. Greater ratios are also observed for patients with higher breast densities.

conclusionThis study demonstrates the potential for a transmission-based microwave scanner to detect tumors.

Indexed as

Breast NeoplasmsMicrowave ImagingFeasibility StudiesFemaleHumansMicrowavesbreast imagingmicrowave imagingtumor detection

Identifiers

PMID40940299
PMCPMC12431958

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Registered trials

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.