ArticleBMC medical imaging2016
Mapping breast tissue types by miniature radio-frequency near-field spectroscopy sensor in ex-vivo freshly excised specimens.
Article in BMC medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method.Sensors (Basel, Switzerland) · 2022Article
- Low-Field NMR Relaxometry for Intraoperative Tumour Margin Assessment in Breast-Conserving Surgery.Cancers · 2021Article
- Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging.IEEE transactions on microwave theory and techniques · 2021Article
- Expansion of the Nodal-Adjoint Method for Simple and Efficient Computation of the 2D Tomographic Imaging Jacobian Matrix.Sensors (Basel, Switzerland) · 2021Article
- Structured light imaging for breast-conserving surgery, part II: texture analysis and classification.Journal of biomedical optics · 2019Article
- Application of Two-Dimensional Discrete Dipole Approximation in Simulating Electric Field of a Microwave Breast Imaging System.IEEE journal of electromagnetics, RF and microwaves in medicine and biology · 2019Article
- Dielectric properties for non-invasive detection of normal, benign, and malignant breast tissues using microwave theories.Thoracic cancer · 2018Article
- Calibration and analysis of a multimodal micro-CT and structured light imaging system for the evaluation of excised breast tissue.Physics in medicine and biology · 2017Article
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10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundReceiving real-time information on tissue properties while performing biopsy procedures has the potential of improving biopsy accuracy. The study goal was to test the ability of a miniature flexible Radio-Frequency (RF) sensor (Dune Medical Devices), designed to be mounted on the surface of surgical tools, in measuring and mapping the various breast tissue types and abnormalities in terms of electrical properties.
methodsBetween January and October 2012, 102 patients undergoing lumpectomy, open-biopsy or mastectomy, in 3 medical centers, were enrolled in this study. The device was applied to freshly excised specimens, with registration between device measurements and histology analysis. Based on histology, the dielectric properties of the various tissue types were derived. Additionally, the ability of the device to differentiate between malignant and non-malignant tissue was assessed.
resultsA total of 4322 measurements from 106 specimens from 102 patients were analyzed. The dielectric properties of 10 tissue types in the low RF-frequency range were measured, showing distinct differences between the various types. Based on the dielectric properties, a score variable was derived, which showed a correlation of 90 % between the RF measurements and the tissue types. Differentiation ability between tissue types was characterized using ROC curve analysis, with AUC of 0.96, and sensitivity and specificity of 90 and 91 % respectively, for tissue feature sizes at or above 0.8 mm.
conclusionsUsing a radio-frequency near-field spectroscopy miniature flexible sensor the dielectric properties of multiple breast tissue types, both normal and abnormal, were evaluated. The results show promise in differentiating between various breast tissue types, and specifically for differentiation between cancer and normal tissues.
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