A large-scale clinical trial of radar-based microwave breast imaging for Asian women: Phase I

Yang, Fan; Sun, Lin; Hu, Zhenhua; Wang, Huihai; Pan, Dan; Wu, Rui; Zhang, Xiaofeng; Chen, Yifan; Zhang, Qingfeng

doi:10.1109/apusncursinrsm.2017.8072433

Cited by 30 publications

(22 citation statements)

References 6 publications

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“…With breast tissue the performance of the proposed array worsens by about 2 dB, which is due to tissue absorption, and its response dips at a slightly lower frequency of 7.8 GHz. Compared to the reference array the proposed array in situ with the breast tissue exhibits an excellent impedance match over a very wide bandwidth (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12). This demonstrates it is highly sensitive and receptive to weak signals over this frequency range.…”

Section: Figure 2 a Typical Microwave Imaging System In Which The Prmentioning

confidence: 95%

“…Surgical intervention can be avoided by using such diagnostic imaging systems. Also, such imaging modalities have become vital in monitoring the effectiveness of treatment for diagnosed tumor [3] and to promote public health for all population groups and at all levels of health care [4,5]. Various medical imaging technologies have been developed over the past few decades including ultrasound, computed tomography (CT), magnetic resonance imaging (MRI) and nuclear medicine imaging.…”

Section: Introductionmentioning

confidence: 99%

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Metamaterial-Inspired Antenna Array for Application in Microwave Breast Imaging Systems for Tumor Detection

et al. 2020

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This paper presents a study of a planar antenna-array inspired by the metamaterial concept where the resonant elements have sub-wavelength dimensions for application in microwave medical imaging systems for detecting tumors in biological tissues. The proposed antenna consists of square-shaped concentric-rings which are connected to a central patch through a common feedline. The array structure comprises several antennas that are arranged to surround the sample breast model. One antenna at a time in the array is used in transmission-mode while others are in receive-mode. The antenna array operates over 2-12 GHz amply covering the frequency range of existing microwave imaging systems. Measured results show that compared to a standard patch antenna array the proposed array with identical dimensions exhibits an average radiation gain and efficiency improvement of 4.8 dBi and 18%, respectively. The average reflection-coefficient of the array over its operating range is better than S 11 ≤-20 dB making it highly receptive to weak signals and minimizing the distortion encountered with the transmission of short duration pulse-trains. Moreover, the proposed antenna-array exhibits high-isolation on average of 30dB between radiators. This means that antennas in the array (i) can be closely spaced to accommodate more radiators to achieve higher-resolution imaging scans, and (ii) the imagining scans can be done over a wider frequency range to ascertain better contrast in electrical parameters between malignant tumor-tissue and the surrounding normal breast-tissue to facilitate the detection of breast-tumor. It is found that short wavelength gives better resolution. In this experimental study a standard biomedical breast model that mimics a realhuman breast in terms of dielectric and optical properties was used to demonstrate the viability of the proposed antenna over a standard patch antenna in the detection and the localization of tumor. These results are encouraging for clinical trials and further refinement of the antenna-array.

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Section: Figure 2 a Typical Microwave Imaging System In Which The Prmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Metamaterial-Inspired Antenna Array for Application in Microwave Breast Imaging Systems for Tumor Detection

et al. 2020

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“…In 2017, a group from the Southern University of Science and Technology, China, described the early results of a radar-based system which has been employed in Phase I clinical trials of 11 female Asian patients, aged between 22 and 47, with varying levels of hyperplasia [72]. Further phases of trials are scheduled using this system.…”

Section: Microwave Breast Imaging (Mbi)mentioning

confidence: 99%

Breast Cancer Detection—A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging

et al. 2020

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Global statistics have demonstrated that breast cancer is the most frequently diagnosed invasive cancer and the leading cause of cancer death among female patients. Survival following a diagnosis of breast cancer is grossly determined by the stage of the disease at the time of initial diagnosis, highlighting the importance of early detection. Improving early diagnosis will require a multi-faceted approach to optimizing the use of currently available imaging modalities and investigating new methods of detection. The application of microwave technologies in medical diagnostics is an emerging field of research, with breast cancer detection seeing the most significant progress in the last twenty years. In this review, the application of current conventional imaging modalities is discussed, and recurrent shortcomings highlighted. Microwave imaging is rapid and inexpensive. If the preliminary results of its diagnostic capacity are substantiated, microwave technology may offer a non-ionizing, non-invasive, and painless adjunct or stand-alone modality that could possibly be implemented in routine diagnostic breast care. Author Contributions: Conceptualization, B.M.M., D.O.'L, S.A.E., and M.J.K.; writing-original draft preparation, B.M.M., D.O.'L and S.A.E., writing-review and editing, B.M.M., D.O.'L, S.A.E., and M.J.K.; supervision, M.J.K.; funding acquisition, M.J.K.; All authors have read and agreed to the published version of the manuscript.

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“…Another promising modality for cancer diagnosis and recurrence monitoring is microwave imaging in view of its safety, mobility, and cost-effectiveness [2]. For example, a number of operational microwave breast imaging systems are already in clinical use [3]- [7] as reviewed in [8]. A major challenge faced by this approach is the potentially small dielectric contrast between tumor and its surrounding tissues, and between benign and cancerous changes [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization

Chen

Ali

Shi

et al. 2019

IEEE Trans.on Nanobioscience

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Objective: We propose a novel iterative-optimizationinspired direct targeting strategy (DTS) for smart nanosystems, which harness swarms of externally manipulable nanoswimmers assembled by magnetic nanoparticles (MNPs) for knowledgeaided tumor sensitization and targeting. We aim to demonstrate through computational experiments that the proposed DTS can significantly enhance the accumulation of MNPs in the tumor site, which serve as a contrast agent in various medical imaging modalities, by using the shortest possible physiological routes and with minimal systemic exposure.Methods: The epicenter of a tumor corresponds to the global maximum of an externally measurable objective function associated with an in vivo tumor-triggered biophysical gradient; the domain of the objective function is the tissue region at a high risk of malignancy; swarms of externally controllable magnetic nanoswimmers for tumor sensitization are modeled as the guess inputs. The objective function may be resulted from a passive phenomenon such as reduced blood flow or increased kurtosis of microvasculature due to tumor angiogenesis; otherwise, the objective function may involve an active phenomenon such as the fibrin formed during the coagulation cascade activated by tumortargeted "activator" nanoparticles. Subsequently, the DTS can be interpreted from the iterative optimization perspective: guess inputs (i.e., swarms of nanoswimmers) are continuously updated according to the gradient of the objective function in order to find the optimum (i.e., tumor) by moving through the domain (i.e., tissue under screening). Along this line of thought, we propose the computational model based on the gradient descent (GD) iterative method to describe the GD-inspired DTS, which takes into account the realistic in vivo propagation scenario of nanoswimmers.Results: By means of computational experiments, we show that the GD-inspired DTS yields higher probabilities of tumor sensitization and more significant dose accumulation compared to the "brute-force" search, which corresponds to the systemic targeting scenario where drug nanoparticles attempt to target a tumor by enumerating all possible pathways in the complex vascular network.Conclusion: The knowledge-aided DTS has potential to enhance the tumor sensitization and targeting performance remarkably by exploiting the externally measurable, tumor-triggered biophysical gradients.Significance: We believe that this work motivates a novel biosensing-by-learning framework facilitated by externally manipulable, smart nanosystems.

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A large-scale clinical trial of radar-based microwave breast imaging for Asian women: Phase I

Cited by 30 publications

References 6 publications

Metamaterial-Inspired Antenna Array for Application in Microwave Breast Imaging Systems for Tumor Detection

Metamaterial-Inspired Antenna Array for Application in Microwave Breast Imaging Systems for Tumor Detection

Breast Cancer Detection—A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging

Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization

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