Experimental Framework for Magnetic Nanoparticles Enhanced Breast Cancer Microwave Imaging

Bucci, O.M.; Bellizzi, Gennaro; Borgia, A.; Costanzo, Sandra; Crocco, Lorenzo; Massa, G. Di; Scapaticci, Rosa

doi:10.1109/access.2017.2737488

Cited by 39 publications

(27 citation statements)

References 22 publications

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“…While these are obviously preliminary results, they support the viability of the proposed concept in real conditions, wherein this number of antennas can be actually deployed and where the measurement accuracy level is expected to be achievable, considering, for instance, that typical achieved by microwave imaging devices for breast cancer [20,21].…”

Section: Imaging Resultsmentioning

confidence: 90%

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Exploiting Microwave Imaging Methods for Real-Time Monitoring of Thermal Ablation

Scapaticci

Bellizzi

Cavagnaro

et al. 2017

International Journal of Antennas and Propagation

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Microwave thermal ablation is a cancer treatment that exploits local heating caused by a microwave electromagnetic field to induce coagulative necrosis of tumor cells. Recently, such a technique has significantly progressed in the clinical practice. However, its effectiveness would dramatically improve if paired with a noninvasive system for the real-time monitoring of the evolving dimension and shape of the thermally ablated area. In this respect, microwave imaging can be a potential candidate to monitor the overall treatment evolution in a noninvasive way, as it takes direct advantage from the dependence of the electromagnetic properties of biological tissues from temperature. This paper explores such a possibility by presenting a proof of concept validation based on accurate simulated imaging experiments, run with respect to a scenario that mimics an ex vivo experimental setup. In particular, two model-based inversion algorithms are exploited to tackle the imaging task. These methods provide independent results in realtime and their integration improves the quality of the overall tracking of the variations occurring in the target and surrounding regions.

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Section: Imaging Resultsmentioning

confidence: 90%

“…As a matter of fact, the useful signal is orders of magnitude below the total (measured) field, so that it will be heavily corrupted by noise. Such an issue is well known in medical applications of MWT, wherein systems are indeed designed in order to meet similar requirements in terms of SNR and dynamic range [20,21].…”

Section: Imaging Resultsmentioning

confidence: 99%

Exploiting Microwave Imaging Methods for Real-Time Monitoring of Thermal Ablation

Scapaticci

Bellizzi

Cavagnaro

et al. 2017

International Journal of Antennas and Propagation

Self Cite

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“…Some other studies as shown in Table A2 focussed on the algorithms and methodologies employed for breast cancer detection, rather than on the hardware apparatus. This table summarizes the most recent innovative and effective methodologies for breast cancer imaging [85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100][101]. Those methodologies aimed at achieving multi-resolution images.…”

Section: Radar-based Microwave Imagingmentioning

confidence: 99%

“…Those methodologies aimed at achieving multi-resolution images. Furthermore, some of these methodologies adopted magnetic nanoparticles [87,88] and compressive sensing tools [97] to enhance the detection process, by exploiting linear approximations of the inverse scattering problem or iteratively solving a set of linear problems [99][100][101].…”

Section: Radar-based Microwave Imagingmentioning

confidence: 99%

Review of Microwaves Techniques for Breast Cancer Detection

Aldhaeebi

Alzoubi

Almoneef

et al. 2020

Sensors

158

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Conventional breast cancer detection techniques including X-ray mammography, magnetic resonance imaging, and ultrasound scanning suffer from shortcomings such as excessive cost, harmful radiation, and inconveniences to the patients. These challenges motivated researchers to investigate alternative methods including the use of microwaves. This article focuses on reviewing the background of microwave techniques for breast tumour detection. In particular, this study reviews the recent advancements in active microwave imaging, namely microwave tomography and radar-based techniques. The main objective of this paper is to provide researchers and physicians with an overview of the principles, techniques, and fundamental challenges associated with microwave imaging for breast cancer detection. Furthermore, this study aims to shed light on the fact that until today, there are very few commercially available and cost-effective microwave-based systems for breast cancer imaging or detection. This conclusion is not intended to imply the inefficacy of microwaves for breast cancer detection, but rather to encourage a healthy debate on why a commercially available system has yet to be made available despite almost 30 years of intensive research.

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“…As the vessels run only parallel to the two coordinate axes, at each junction the guess input can move in two possible directions, up and right, as the flow is from bottom left to top right. The Barzilai-Borwein condition in (12) is employed to determine the duration of the m th IA operation for G 1 :…”

Section: A Dts For Tdm1mentioning

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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Experimental Framework for Magnetic Nanoparticles Enhanced Breast Cancer Microwave Imaging

Cited by 39 publications

References 22 publications

Exploiting Microwave Imaging Methods for Real-Time Monitoring of Thermal Ablation

Exploiting Microwave Imaging Methods for Real-Time Monitoring of Thermal Ablation

Review of Microwaves Techniques for Breast Cancer Detection

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

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