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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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/21/9998 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T06:07:09Z |
| format | Article |
| id | doaj.art-153755d6ebae4af28b2d7fed3045dfea |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:07:09Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-153755d6ebae4af28b2d7fed3045dfea2023-11-22T20:26:16ZengMDPI AGApplied Sciences2076-34172021-10-011121999810.3390/app11219998Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient DataAngie Fasoula0Luc Duchesne1Julio Daniel Gil Cano2Brian M. Moloney3Sami M. Abd Elwahab4Michael J. Kerin5Medical Imaging Department, MVG Industries, 91140 Villejust, FranceMedical Imaging Department, MVG Industries, 91140 Villejust, FranceMedical Imaging Department, MVG Industries, 91140 Villejust, FranceDepartment of Radiology, Galway University Hospital, Saolta University Healthcare Group, H91 YR71 Galway, IrelandDepartment of Surgery, Galway University Hospital, Saolta University Healthcare Group, H91 YR71 Galway, IrelandDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, H91 TK33 Galway, IrelandMicrowave 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.https://www.mdpi.com/2076-3417/11/21/9998breast cancer detectionmicrowave breast imagingcomputer-aided diagnosis (CAD)first-in-human (FiH) study |
| spellingShingle | 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 Applied Sciences breast cancer detection microwave breast imaging computer-aided diagnosis (CAD) first-in-human (FiH) study |
| 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_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_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_sort | automated breast lesion detection and characterization with the wavelia microwave breast imaging system methodological proof of concept on first in human patient data |
| topic | breast cancer detection microwave breast imaging computer-aided diagnosis (CAD) first-in-human (FiH) study |
| url | https://www.mdpi.com/2076-3417/11/21/9998 |
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