ArticleThe British journal of radiology2021
The Wavelia Microwave Breast Imaging system-tumour discriminating features and their clinical usefulness.
Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Machine Learning Classification of Axillary Lymph Nodes Using Microwave Signals.Sensors (Basel, Switzerland) · 2026Article
- Microwave Breast Imaging System Modules, Enhancing Scan Quality and Reliability of Diagnostic Outputs During Clinical Testing.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- XGBoost Enhances the Performance of SAFE: A Novel Microwave Imaging System for Early Detection of Malignant Breast Cancer.Cancers · 2025Article
- Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024.Diagnostics (Basel, Switzerland) · 2024Review
- Repository of MRI-derived models of the breast with single and multiple benign and malignant tumors for microwave imaging research.PloS one · 2024Article
- Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing.Sensors (Basel, Switzerland) · 2023Review
- Gradient-Boosting Algorithm for Microwave Breast Lesion Classification-SAFE Clinical Investigation.Diagnostics (Basel, Switzerland) · 2022Article
- Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection.Diagnostics (Basel, Switzerland) · 2021Article
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11 authors.
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Abstract
objectiveThe Wavelia Microwave Breast Imaging (MBI) system, based on non-ionising imaging technology, has demonstrated exciting potential in the detection and localisation of breast pathology in symptomatic patients. In this study, the ability of the system to accurately estimate the size and likelihood of malignancy of breast lesions is detailed, and its clinical usefulness determined.
methodsInstitutional review board and Health Products Regulatory Authority (HPRA) approval were obtained. Patients were recruited from the symptomatic unit to three groups; breast cancer (Group-1), unaspirated cysts (Group-2) and biopsied benign lesions (Group-3). MBI, radiological and histopathological findings were reviewed. MBI size estimations were compared with the sizes determined by conventional imaging and histopathology. A Quadratic Discriminant Analysis (QDA) classifier was trained in a 3D feature space to discriminate malignant from benign lesions. An independent review was performed by two independent breast radiologists.
results24 patients (11 Group-1, 8 Group-2 and 5 Group-3) underwent MBI. The Wavelia system was more accurate than conventional imaging in size estimation of breast cancers. The QDA accurately separated benign from malignant breast lesions in 88.5% of cases. The addition of MBI and the Wavelia malignancy risk calculation was deemed useful by the two radiologists in 70.6% of cases.
conclusionThe results from this MBI investigation demonstrate the potential of this novel system in estimating size and malignancy risk of breast lesions. This system holds significant promise as a potential non-invasive, comfortable, and harmless adjunct for breast cancer diagnosis. Further larger studies are under preparation to validate the findings of this study. ADVANCES IN KNOWLEDGE: This study details the potential of the Wavelia MBI system in delineating size and malignancy risk of benign and malignant breast lesions in a symptomatic cohort. The usefulness of the Wavelia system is assessed in the clinical setting.
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