Literature DB >> 31153575

MARIA® M5: A multicentre clinical study to evaluate the ability of the Micrima radio-wave radar breast imaging system (MARIA®) to detect lesions in the symptomatic breast.

Mike Shere1, Iain Lyburn2, Richard Sidebottom3, Helen Massey4, Caroline Gillett5, Lyn Jones6.   

Abstract

The MARIA® breast imaging system is a clinical diagnostic tool that uses a hemispherical array of radiowave antennas to generate three-dimensional images of the internal breast. The system utilises the variance of dielectric contrast within the breast volume in order to identify areas of interest for further diagnostic investigation. This multicentre study of 225 patients was conducted at three trial sites and recruited women with both malignant and benign lesions. The MARIA® images from the study were read by both clinicians who had access to the patient's clinical information, as well as by 'blind' reviewers who did not. Results from the study show an overall sensitivity of 76% for the system, which was similar across benign and malignant findings, and in denser breasts. The results from this study are outlined here and discussions on ongoing and future work with MARIA® are deliberated.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Breast; Breast density; Breast imaging; Diagnostic imaging; Radio-wave imaging

Mesh:

Year:  2019        PMID: 31153575     DOI: 10.1016/j.ejrad.2019.04.017

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

Review 1.  Novel imaging approaches to screen for breast cancer: Recent advances and future prospects.

Authors:  Christopher L Vaughan
Journal:  Med Eng Phys       Date:  2019-10       Impact factor: 2.242

2.  MiWEndo: Evaluation of a Microwave Colonoscopy Algorithm for Early Colorectal Cancer Detection in Ex Vivo Human Colon Models.

Authors:  Marta Guardiola; Walid Dghoughi; Roberto Sont; Alejandra Garrido; Sergi Marcoval; Luz María Neira; Ignasi Belda; Glòria Fernández-Esparrach
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

3.  An Optimization-Based Approach to Radar Image Reconstruction in Breast Microwave Sensing.

Authors:  Tyson Reimer; Stephen Pistorius
Journal:  Sensors (Basel)       Date:  2021-12-07       Impact factor: 3.576

4.  Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network.

Authors:  Maitreyee Dey; Soumya Prakash Rana; Riccardo Loretoni; Michele Duranti; Lorenzo Sani; Alessandro Vispa; Giovanni Raspa; Mohammad Ghavami; Sandra Dudley; Gianluigi Tiberi
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

  4 in total

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