Quantification of Ultrasonic Scattering Properties of In Vivo Tumor Cell Death in Mouse Models of Breast Cancer

Tadayyon, Hadi; Sannachi, Lakshmanan; Sadeghi‐Naini, Ali; Al‐Mahrouki, Azza; Tran, William T.; Kolios, Michael C.; Czarnota, Gregory J.

doi:10.1016/j.tranon.2015.11.001

Cited by 26 publications

(29 citation statements)

References 47 publications

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“…[150][151][152][153] Cummins et al developed such a HF probe and performed multiscale imaging with by combing with simultaneous external clinical US. 66 Other applications include better characterizing phantom tissue, 154 tracking cell death from macro-to submicroscales, 67,92,155 detecting metastatic regions in lymph nodes, 156 and characterizing contrast agent biodistribution. 93 The aforementioned studies are the first few to explore this modality with QMIB, with many more potential opportunities.…”

Section: High-frequency Ultrasoundmentioning

confidence: 99%

Review of quantitative multiscale imaging of breast cancer

et al. 2018

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Breast cancer is the most common cancer among women worldwide and ranks second in terms of overall cancer deaths. One of the difficulties associated with treating breast cancer is that it is a heterogeneous disease with variations in benign and pathologic tissue composition, which contributes to disease development, progression, and treatment response. Many of these phenotypes are uncharacterized and their presence is difficult to detect, in part due to the sparsity of methods to correlate information between the cellular microscale and the whole-breast macroscale. Quantitative multiscale imaging of the breast is an emerging field concerned with the development of imaging technology that can characterize anatomic, functional, and molecular information across different resolutions and fields of view. It involves a diverse collection of imaging modalities, which touch large sections of the breast imaging research community. Prospective studies have shown promising results, but there are several challenges, ranging from basic physics and engineering to data processing and quantification, that must be met to bring the field to maturity. This paper presents some of the challenges that investigators face, reviews currently used multiscale imaging methods for preclinical imaging, and discusses the potential of these methods for clinical breast imaging.

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Section: High-frequency Ultrasoundmentioning

confidence: 99%

Review of quantitative multiscale imaging of breast cancer

et al. 2018

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“…[16][17][18][19][20] Ploix et al 16 used the experimental method and the simulation to investigate the measurement of ultrasonic scattering attenuation in austenitic stainless steel welds. Rokhlin et al 17 obtained the attenuation coefficients by solving Born approximation and Rayleigh equations to establish a scattering model, and researched the propagation and scattering of ultrasonic waves in polycrystals with arbitrary crystallite and macroscopic texture symmetries.…”

Section: Introductionmentioning

confidence: 99%

A modified model for simulating the effect of temperature on ultrasonic attenuation in 7050 aluminum alloy

Han

Gong

et al. 2018

AIP Advances

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Knowing propagating properties of an ultrasonic wave can enhance the non-destructive testing techniques in alloy materials field, such as the electromagnetic acoustic transducer techniques, and the piezoelectric ultrasonic transducer techniques. When temperature is taken into consideration, the ultrasonic propagating attenuation become very complex process. In this paper, a loss factor coefficient function with change in temperatures is established and the loss factor damping model with temperature term is coupled into the equations of elastic wave motion. A modified frequency domain model for calculating the ultrasonic attenuation due to temperature changes in 7050 Aluminum alloy is then developed. The model is validated experimentally using a high power pulse transmitter/receiver RPR-4000, a resistant high temperature electromagnetic acoustic transducer set-up and a 7050 Aluminum alloy sample. The simulation and the experimental results are determined to be in good agreement. The numerical model is used to calculate the ultrasonic-waves field, the ultrasonic attenuation, and the ultrasonic propagation directivity considering the temperature effect. The modeling results indicate that the ultrasonic energy attenuation is significantly affected by temperature. When the temperature increases from 20 • C up to 480 • C, the ultrasonic energy attenuates by 32.31%. It is also found that the length of near acoustic field increases with the increase in temperature. There is a common basic mode for the attenuation of ultrasonic waves, in which the attenuated mode cannot be affected by other factors. Increasing the temperature or the frequency, the ultrasonic propagation can obtain an excellent directivity. Results obtained from the present model will provide a comprehensive understanding of design parameter effects and consequently improve the design/performance in the non-destructive testing techniques.

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“…Non-MRI-based techniques have also been studied: Quantitative ultrasound (QUS) parameters correlate with cell death after chemotherapy [ 15 – 17 ]. Response assessment using positron emission tomography (PET) has shown reduced uptake of ( 18 F)Fludeoxyglucose (FDG) tracer after chemotherapy [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Chemical exchange saturation transfer MRI to assess cell death in breast cancer xenografts at 7T

et al. 2018

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PurposeDetecting cell death and predicting tumor response early in a course of chemotherapy could help optimize treatment regimens and improve clinical outcomes. Chemical exchange saturation transfer (CEST) MRI was investigated in vivo to study properties that may be able to detect cancer death.ResultsUsing a magnetization transfer ratio (MTR) cutoff of 0.12 at 1.8 ppm was able to differentiate between viable tumor and cell death regions. Comparison of MTR values at this frequency showed significant differences (p < 0.0001) between viable tumor and cell death regions, matching patterns seen on histology. Using this cutoff, the mean increase in cell death index (± standard error of the mean) after chemotherapy was 4 ± 4%, 10% ± 7%, 10 ± 8%, and 4 ± 9% at 4, 8, 12, and 24 h, respectively.ConclusionsCEST MRI can detect cell death in MDA-231 xenografts but further work is needed to characterize the clinical applications of this finding. Maximum response to chemotherapy occurred at 8–12 h after chemotherapy injection in this in vivo tumor model.Materials and MethodsBreast cancer xenografts (MDA-MB-231) were scanned using 7 T MRI before and after chemotherapy. As a measure of CEST effect at 0.5 µT saturation amplitude, MTR values at frequency offsets of 1.8 and −3.3 ppm were evaluated. CEST signals after chemotherapy treatment were compared to cell-death histopathology of tumors.

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Quantification of Ultrasonic Scattering Properties of In Vivo Tumor Cell Death in Mouse Models of Breast Cancer

Cited by 26 publications

References 47 publications

Review of quantitative multiscale imaging of breast cancer

Review of quantitative multiscale imaging of breast cancer

A modified model for simulating the effect of temperature on ultrasonic attenuation in 7050 aluminum alloy

Chemical exchange saturation transfer MRI to assess cell death in breast cancer xenografts at 7T

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