Portable impulse-radar detector for breast cancer: a pilot study

Sasada, Shinsuke; Masumoto, Norio; Song, Hang; Kajitani, Keiko; Emi, Akiko; Kadoya, Takayuki; Arihiro, Koji; Kikkawa, Takamaro; Okada, Minoru

doi:10.1117/1.jmi.5.2.025502

Cited by 16 publications

(18 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The designed unit measured mere 19.1 cm × 17.7 cm × 18.8 cm making it a very useful tool for imaging [180]. Further on, in 2018, the portable detector was modified to produce a reduced scan time of merely three minutes from the earlier 15 minutes when the antenna array rotated in steps of 15 degrees [181]. This system could visualize breast tumors with a diameter of 1 cm or more.…”

Section: State-of-the-art In Mwimentioning

confidence: 99%

An Overview of Microwave Imaging for Breast Tumor Detection

Benny¹,

Anjit²,

Mythili³

2020

PIER B

View full text Add to dashboard Cite

Microwave imaging (MWI) is a non-ionizing, non-invasive and an upcoming affordable medical imaging modality. Over the last few decades, MWI has invited active research towards biomedical imaging, with special focus on breast tumor detection. After long years of intense research and clinical trials, a breast tumour monitoring unit based on MWI is finally entering clinical imaging scenarios. In this manuscript, the vast literature in MWI to date has been consolidated, and an indetail study of the state-of-the-art for breast tumor detection has been presented. The hurdles faced during clinical trials are discussed, and their possible solutions and future directions for a fast transition into clinical imaging have been presented. It is hoped that this paper can serve as a guide for MWI researchers and practitioners, especially those new to the field to comprehend the potential of MWI as a viable imaging tool for breast imaging.

show abstract

Section: State-of-the-art In Mwimentioning

confidence: 99%

An Overview of Microwave Imaging for Breast Tumor Detection

Benny¹,

Anjit²,

Mythili³

2020

PIER B

View full text Add to dashboard Cite

show abstract

“…We developed a prototype handheld bistatic radar-based system using complementary metal-oxide-semiconductor (CMOS)-integrated circuits [36][37][38][39][40][41]. In a clinical pilot study, this system showed a 100% sensitivity in 5 patients with breast cancer [42]. Information on specificity and causes of false positives using this microwave imaging technology has not yet been clarified.…”

Section: Preliminary Workmentioning

confidence: 99%

Microwave Breast Imaging Using Rotational Bistatic Impulse Radar for the Detection of Breast Cancer: Protocol for a Prospective Diagnostic Study (Preprint)

Sasada¹,

Masumoto²,

Song³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

BACKGROUND Mammography is the standard examination for breast cancer screening; however, it is associated with pain and exposure to ionizing radiation. Microwave breast imaging is a less-invasive method for breast cancer surveillance. A bistatic impulse-radar-based breast cancer detector has recently been developed. OBJECTIVE This study will evaluate the diagnostic accuracy of the novel microwave breast imaging device. METHODS This is a prospective diagnostic study. A total of 120 participants will be recruited before treatment administration and divided into two cohorts: 100 patients diagnosed with breast cancer and 20 participants with benign breast tumors. The detector will be directly placed on each breast in the supine position without a coupling medium. Confocal images will be created based on the analyzed data and the presence of breast tumors will be assessed. The primary endpoint will be the diagnostic accuracy, sensitivity, and specificity of the detector for breast cancer and benign tumors. The secondary endpoint will be safety and detectability of each molecular subtype of breast cancer. For an exploratory endpoint, the influence of breast density and tumor size on tumor detection will be investigated. RESULTS Recruitment began in November 2018 and is in progress. We anticipate the preliminary results to be available by Winter 2020. CONCLUSIONS This study will provide insights on the diagnostic accuracy of microwave breast imaging using a rotational bistatic impulse-radar. The collected data will improve the diagnostic algorithm of microwave imaging, and lead to enhanced device performance. CLINICALTRIAL Japan registry of clinical trials jRCTs062180005; https://jrct.niph.go.jp/en-latest-detail/jRCTs062180005.

show abstract

“…The observed contrast in the microwave properties of cancerous and healthy breast tissues [3][4][5][6] has sparked research into the use of breast microwave sensing (BMS) as a diagnostic tool to be used for breast cancer screening or as a complementary technique to mammography [1,2]. Several research groups have developed BMS systems and evaluated these systems using both phantom and patient data [7][8][9][10][11][12]. Despite the progress made in BMS research over the past two decades, several challenges remain before the technique can be considered for routine clinical use.…”

Section: Introductionmentioning

confidence: 99%

An Optimization-Based Approach to Radar Image Reconstruction in Breast Microwave Sensing

Reimer

Pistorius

2021

Sensors

View full text Add to dashboard Cite

Breast microwave sensing (BMS) has been studied as a potential technique for cancer detection due to the observed microwave properties of malignant and healthy breast tissues. This work presents a novel radar-based image reconstruction algorithm for use in BMS that reframes the radar image reconstruction process as an optimization problem. A gradient descent optimizer was used to create an optimization-based radar reconstruction (ORR) algorithm. Two hundred scans of MRI-derived breast phantoms were performed with a preclinical BMS system. These scans were reconstructed using the ORR, delay-and-sum (DAS), and delay-multiply-and-sum (DMAS) beamformers. The ORR was observed to improve both sensitivity and specificity compared to DAS and DMAS. The estimated sensitivity and specificity of the DAS beamformer were 19% and 44%, respectively, while for ORR, they were 27% and 56%, representing a relative increase of 42% and 27%. The DAS reconstructions also exhibited a hot-spot image artifact, where a localized region of high intensity that did not correspond to any physical phantom feature would be present in an image. This artifact appeared like a tumour response within the image and contributed to the lower specificity of the DAS beamformer. This artifact was not observed in the ORR reconstructions. This work demonstrates the potential of an optimization-based conceptualization of the radar image reconstruction problem in BMS. The ORR algorithm implemented in this work showed improved diagnostic performance and fewer image artifacts compared to the widely employed DAS algorithm.

show abstract

Portable impulse-radar detector for breast cancer: a pilot study

Cited by 16 publications

References 35 publications

An Overview of Microwave Imaging for Breast Tumor Detection

An Overview of Microwave Imaging for Breast Tumor Detection

Microwave Breast Imaging Using Rotational Bistatic Impulse Radar for the Detection of Breast Cancer: Protocol for a Prospective Diagnostic Study (Preprint)

An Optimization-Based Approach to Radar Image Reconstruction in Breast Microwave Sensing

Contact Info

Product

Resources

About