Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection

Adachi, Mio; Nakagawa, Tsuyoshi; Fujioka, Tomoyuki; Mori, M.; Kubota, Kazunori; Oda, Goshi; Kikkawa, Takamaro

doi:10.3390/diagnostics12010027

Cited by 16 publications

(12 citation statements)

References 26 publications

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“…This section focuses on these key articles that have pushed to estimate the diagnostic performance of BMS. Eleven of these articles provided sensitivity estimates, ranging from 63% [47] to 100% [141,170], but only four articles have estimated the specificity, and specificity estimates range from 20% [100] to 65% [133]. Table 2 describes the diagnostic estimates presented in each of these articles.…”

Section: Estimates Of the Diagnostic Potential Of Image-based Tumour ...mentioning

confidence: 99%

Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing

Reimer

Pistorius

2023

Sensors

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This review evaluates the methods used for image quality analysis and tumour detection in experimental breast microwave sensing (BMS), a developing technology being investigated for breast cancer detection. This article examines the methods used for image quality analysis and the estimated diagnostic performance of BMS for image-based and machine-learning tumour detection approaches. The majority of image analysis performed in BMS has been qualitative and existing quantitative image quality metrics aim to describe image contrast—other aspects of image quality have not been addressed. Image-based diagnostic sensitivities between 63 and 100% have been achieved in eleven trials, but only four articles have estimated the specificity of BMS. The estimates range from 20 to 65%, and do not demonstrate the clinical utility of the modality. Despite over two decades of research in BMS, significant challenges remain that limit the development of this modality as a clinical tool. The BMS community should utilize consistent image quality metric definitions and include image resolution, noise, and artifacts in their analyses. Future work should include more robust metrics, estimates of the diagnostic specificity of the modality, and machine-learning applications should be used with more diverse datasets and with robust methodologies to further enhance BMS as a viable clinical technique.

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Section: Estimates Of the Diagnostic Potential Of Image-based Tumour ...mentioning

confidence: 99%

Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing

Reimer

Pistorius

2023

Sensors

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“…Researchers at Hiroshima University investigated the possibility of developing a handheld impulse-radar breast cancer detector and reported promising results [ 99 ]. Adachi et al [ 128 ] reported on a radar-based portable MWI system for detecting breast cancer. The results showed that the system can be safely used and that it showed great potential in detecting breast cancer, including non-invasive ductal carcinoma and micro-invasive carcinoma, which were not as easily detected by mammography due to dense breast tissue.…”

Section: Challenges and Future Research Directionsmentioning

confidence: 99%

Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions

et al. 2022

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Breast cancer is the most commonly diagnosed cancer type and is the leading cause of cancer-related death among females worldwide. Breast screening and early detection are currently the most successful approaches for the management and treatment of this disease. Several imaging modalities are currently utilized for detecting breast cancer, of which microwave imaging (MWI) is gaining quite a lot of attention as a promising diagnostic tool for early breast cancer detection. MWI is a noninvasive, relatively inexpensive, fast, convenient, and safe screening tool. The purpose of this paper is to provide an up-to-date survey of the principles, developments, and current research status of MWI for breast cancer detection. This paper is structured into two sections; the first is an overview of current MWI techniques used for detecting breast cancer, followed by an explanation of the working principle behind MWI and its various types, namely, microwave tomography and radar-based imaging. In the second section, a review of the initial experiments along with more recent studies on the use of MWI for breast cancer detection is presented. Furthermore, the paper summarizes the challenges facing MWI as a breast cancer detection tool and provides future research directions. On the whole, MWI has proven its potential as a screening tool for breast cancer detection, both as a standalone or complementary technique. However, there are a few challenges that need to be addressed to unlock the full potential of this imaging modality and translate it to clinical settings.

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“…Tumor detection in smaller groups of patients with radar systems has also been reported. 15,16 Microwave tomography has been used to examine 43 healthy volunteers, showing bilateral symmetry and correspondence between average microwave properties and breast density. 17 Tomog-raphy images of 150 patients demonstrated increased properties in regions of interest related to the tumor.…”

Section: Introductionmentioning

confidence: 99%

“…Both the MammoWave and Wavelia systems require complex signal processing algorithms to obtain results. Tumor detection in smaller groups of patients with radar systems has also been reported 15,16 . Microwave tomography has been used to examine 43 healthy volunteers, showing bilateral symmetry and correspondence between average microwave properties and breast density 17 .…”

Section: Introductionmentioning

confidence: 99%

Microwave imaging for monitoring breast cancer treatment: A pilot study

Smith,

Bourqui,

Wang

et al. 2023

Medical Physics

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BackgroundMicrowave imaging has been proposed for medical applications, creating maps related to water content of tissues. Breast imaging has emerged as a key application because the signals can be coupled directly into the breast and experience limited attenuation in fatty tissues. While the literature contains reports of tumor detection with microwave approaches, there is limited exploration of treatment monitoring.PurposeThis study aims to detect treatment‐related changes in breast tissue with a low‐resolution microwave scanner.MethodsMicrowave scans of 15 patients undergoing treatment for early‐stage breast cancer are collected at up to 4 time points: after surgery (baseline), 6 weeks after accelerated partial breast radiation, as well as 1 and 2 years post‐treatment. Both the treated and untreated breast are scanned at each time point. The microwave scanner consists of planar transmit and receive arrays and uses signals from 0.1 to 10 GHz. The average microwave frequency properties (permittivity) are calculated for each scan to enable quantitative comparison. Baseline and 6‐week results are analyzed with a two‐way ANOVA with blocking.ResultsConsistent properties are observed for the untreated breast over time, similar to a previous study. Comparison of the scans of the treated and untreated breast suggests increased properties related to treatment, particularly at baseline and 6‐weeks following radiotherapy. Analysis of the average properties of the scans with ANOVA indicates statistically significant differences () in the treated and untreated breast at these time points.ConclusionsMicrowave imaging has the potential to track treatment‐related changes in breast tissues.

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Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection

Cited by 16 publications

References 26 publications

Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing

Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing

Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions

Microwave imaging for monitoring breast cancer treatment: A pilot study

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