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Harmonic Motion Imaging for Tumor Imaging and Treatment Monitoring

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Book cover Soft Tissue Biomechanical Modeling for Computer Assisted Surgery

Part of the book series: Studies in Mechanobiology, Tissue Engineering and Biomaterials ((SMTEB,volume 11))

Abstract

Palpation is an established screening procedure for the detection of several superficial cancers including breast, thyroid, prostate, and liver tumors through both self and clinical examinations. This is because solid masses typically have distinct stiffnesses compared to the surrounding normal tissue. In this paper, the application of Harmonic Motion Imaging (HMI) for tumor detection based on its stiffness as well as its relevance in thermal treatment is reviewed. HMI uses a focused ultrasound (FUS) beam to generate an oscillatory acoustic radiation force for an internal, non-contact palpation to internally estimate relative tissue hardness. HMI studies have dealt with the measurement of the tissue dynamic motion in response to an oscillatory acoustic force at the same frequency, and have been shown feasible in simulations, phantoms, ex vivo human and bovine tissues as well as animals in vivo. Using an FUS beam, HMI can also be used in an ideal integration setting with thermal ablation using high-intensity focused ultrasound (HIFU), which also leads to an alteration in the tumor stiffness. In this paper, a short review of HMI is provided that encompasses the findings in all the aforementioned areas. The findings presented herein demonstrate that the HMI displacement can accurately depict the underlying tissue stiffness, and the HMI image of the relative stiffness could accurately detect and characterize the tumor or thermal lesion based on its distinct properties. HMI may thus constitute a non-ionizing, cost-efficient and reliable complementary method for noninvasive tumor detection, localization, diagnosis and treatment monitoring.

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Acknowledgments

This study was supported by NIH R21EB008521. The authors also wish to thank Jianwen Luo, PhD from the Ultrasound and Elasticity Imaging Laboratory at Columbia for valuable discussions and Elizabeth Pile-Spellman, MD from the department of radiology of Columbia University for the mammogram and sonogram interpretation as well as providing the clinical perspectives for this study. The authors also thank Kathie-Ann Joseph, MD and Thomas Ludwig, PhD at Columbia University for their respective breast surgery and transgenic mouse model expertise and valuable comments.

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  1. Department of Biomedical Engineering, Columbia University, 351 Engineering Terrace, Mail Code 8904, 1210 Amsterdam Avenue, New York, NY, 10027, USA

    Elisa E. Konofagou, Caroline Maleke & Jonathan Vappou

  2. Department of Radiology, Columbia University, 351 Engineering Terrace, Mail Code 8904, 1210 Amsterdam Avenue, New York, NY, 10027, USA

    Elisa E. Konofagou

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  1. Elisa E. Konofagou
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  2. Caroline Maleke
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Correspondence to Elisa E. Konofagou .

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  1. , TIMC Laboratory, Joseph Fourier University, La Tronche cedex, 38706, France

    Yohan Payan

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Konofagou, E.E., Maleke, C., Vappou, J. (2012). Harmonic Motion Imaging for Tumor Imaging and Treatment Monitoring. In: Payan, Y. (eds) Soft Tissue Biomechanical Modeling for Computer Assisted Surgery. Studies in Mechanobiology, Tissue Engineering and Biomaterials, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/8415_2012_124

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