ArticleJournal of medical imaging (Bellingham, Wash.)2016
MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection.
Article in Journal of medical imaging (Bellingham, Wash.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03302819 (Performance Evaluation of the MARIA), which is not on this map. Cited by 60 papers.
What it found
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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.
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.
Performance Evaluation of the MARIA (Multi Static Array Processing of Radiowave Image Acquisition) Radar Breast Imaging System in Patients With Breast Cancer and in Patients Assessed in the Symptomatic Breast Clinic.
Who cites it
60 citing papers in PubMed, 178 citations in OpenAlex.
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- Results for the London investigation into dielectric scanning of lesions study of the MARIA® M6 breast imaging system.The British journal of radiology · 2024Article
- Microwave and Antenna Systems in Medical Applications.Sensors (Basel, Switzerland) · 2024Article
- Review
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- A Multicentric, Single Arm, Prospective, Stratified Clinical Investigation to Confirm MammoWave's Ability in Breast Lesions Detection.Diagnostics (Basel, Switzerland) · 2023Article
- Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing.Sensors (Basel, Switzerland) · 2023Review
- A Deep Learning Approach for Diagnosis Support in Breast Cancer Microwave Tomography.Diagnostics (Basel, Switzerland) · 2023Article
- Radiation-Free Microwave Technology for Breast Lesion Detection Using Supervised Machine Learning Model.Tomography (Ann Arbor, Mich.) · 2023Article
- A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave's ability in breast lesions detection.PloS one · 2023Article
- Gradient-Boosting Algorithm for Microwave Breast Lesion Classification-SAFE Clinical Investigation.Diagnostics (Basel, Switzerland) · 2022Article
- Neurophysiology tools to lower the stroke onset to treatment time during the golden hour: microwaves, bioelectrical impedance and near infrared spectroscopy.Annals of medicine · 2022Review
- Effect of Coupling Medium on Penetration Depth in Microwave Medical Imaging.Diagnostics (Basel, Switzerland) · 2022Article
- An End-to-End Deep Learning Approach for Quantitative Microwave Breast Imaging in Real-Time Applications.Bioengineering (Basel, Switzerland) · 2022Article
- Near-Field Microwave Scattering Formulation by A Deep Learning Method.IEEE transactions on microwave theory and techniques · 2022Article
- Impact of Skin on Microwave Tomography in the Lossy Coupling Medium.Sensors (Basel, Switzerland) · 2022Article
- Microwave Antenna System for Muscle Rupture Imaging with a Lossy Gel to Reduce Multipath Interference.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A microwave imaging system has been developed as a clinical diagnostic tool operating in the 3- to 8-GHz region using multistatic data collection. A total of 86 patients recruited from a symptomatic breast care clinic were scanned with a prototype design. The resultant three-dimensional images have been compared "blind" with available ultrasound and mammogram images to determine the detection rate. Images show the location of the strongest signal, and this corresponded in both older and younger women, with sensitivity of [Formula: see text], which was found to be maintained in dense breasts. The pathway from clinical prototype to clinical evaluation is outlined.
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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.