Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data

Microwave Breast Imaging (MBI) is an emerging non-ionizing imaging modality, with the potential to support breast diagnosis and management. Wavelia is an MBI system prototype, of 1st generation, which has recently completed a First-In-Human (FiH) clinical investigation on a 25-symptomatic patient co...

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Autores principales:	Angie Fasoula, Luc Duchesne, Julio Daniel Gil Cano, Brian M. Moloney, Sami M. Abd Elwahab, Michael J. Kerin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	breast cancer detection microwave breast imaging computer-aided diagnosis (CAD) first-in-human (FiH) study Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/153755d6ebae4af28b2d7fed3045dfea
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spelling	oai:doaj.org-article:153755d6ebae4af28b2d7fed3045dfea2021-11-11T15:05:03ZAutomated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data10.3390/app112199982076-3417https://doaj.org/article/153755d6ebae4af28b2d7fed3045dfea2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9998https://doaj.org/toc/2076-3417Microwave Breast Imaging (MBI) is an emerging non-ionizing imaging modality, with the potential to support breast diagnosis and management. Wavelia is an MBI system prototype, of 1st generation, which has recently completed a First-In-Human (FiH) clinical investigation on a 25-symptomatic patient cohort, to explore the capacity of the technology to detect and characterize malignant (invasive carcinoma) and benign (fibroadenoma, cyst) breast disease. Two recent publications presented promising results demonstrated by the device in this FiH study in detecting and localizing, as well as delineating size and malignancy risk, of malignant and benign palpable breast lesions. In this paper, the methodology that has been employed in the Wavelia semi-automated Quantitative Imaging Function (QIF), to support breast lesion detection and characterization in the FiH clinical investigation of the device, is presented and the critical design parameters are highlighted.Angie FasoulaLuc DuchesneJulio Daniel Gil CanoBrian M. MoloneySami M. Abd ElwahabMichael J. KerinMDPI AGarticlebreast cancer detectionmicrowave breast imagingcomputer-aided diagnosis (CAD)first-in-human (FiH) studyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9998, p 9998 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer detection microwave breast imaging computer-aided diagnosis (CAD) first-in-human (FiH) study Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	breast cancer detection microwave breast imaging computer-aided diagnosis (CAD) first-in-human (FiH) study Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Angie Fasoula Luc Duchesne Julio Daniel Gil Cano Brian M. Moloney Sami M. Abd Elwahab Michael J. Kerin Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data
description	Microwave Breast Imaging (MBI) is an emerging non-ionizing imaging modality, with the potential to support breast diagnosis and management. Wavelia is an MBI system prototype, of 1st generation, which has recently completed a First-In-Human (FiH) clinical investigation on a 25-symptomatic patient cohort, to explore the capacity of the technology to detect and characterize malignant (invasive carcinoma) and benign (fibroadenoma, cyst) breast disease. Two recent publications presented promising results demonstrated by the device in this FiH study in detecting and localizing, as well as delineating size and malignancy risk, of malignant and benign palpable breast lesions. In this paper, the methodology that has been employed in the Wavelia semi-automated Quantitative Imaging Function (QIF), to support breast lesion detection and characterization in the FiH clinical investigation of the device, is presented and the critical design parameters are highlighted.
format	article
author	Angie Fasoula Luc Duchesne Julio Daniel Gil Cano Brian M. Moloney Sami M. Abd Elwahab Michael J. Kerin
author_facet	Angie Fasoula Luc Duchesne Julio Daniel Gil Cano Brian M. Moloney Sami M. Abd Elwahab Michael J. Kerin
author_sort	Angie Fasoula
title	Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data
title_short	Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data
title_full	Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data
title_fullStr	Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data
title_full_unstemmed	Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data
title_sort	automated breast lesion detection and characterization with the wavelia microwave breast imaging system: methodological proof-of-concept on first-in-human patient data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/153755d6ebae4af28b2d7fed3045dfea
work_keys_str_mv	AT angiefasoula automatedbreastlesiondetectionandcharacterizationwiththewaveliamicrowavebreastimagingsystemmethodologicalproofofconceptonfirstinhumanpatientdata AT lucduchesne automatedbreastlesiondetectionandcharacterizationwiththewaveliamicrowavebreastimagingsystemmethodologicalproofofconceptonfirstinhumanpatientdata AT juliodanielgilcano automatedbreastlesiondetectionandcharacterizationwiththewaveliamicrowavebreastimagingsystemmethodologicalproofofconceptonfirstinhumanpatientdata AT brianmmoloney automatedbreastlesiondetectionandcharacterizationwiththewaveliamicrowavebreastimagingsystemmethodologicalproofofconceptonfirstinhumanpatientdata AT samimabdelwahab automatedbreastlesiondetectionandcharacterizationwiththewaveliamicrowavebreastimagingsystemmethodologicalproofofconceptonfirstinhumanpatientdata AT michaeljkerin automatedbreastlesiondetectionandcharacterizationwiththewaveliamicrowavebreastimagingsystemmethodologicalproofofconceptonfirstinhumanpatientdata
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Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data

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