Comparison of Shear-Wave and Strain Ultrasound Elastography in the Differentiation of Benign and Malignant Breast Lesions

Chang, Jung Min; Won, Jae Kyung; Lee, Kyuho; Park, In Ae; Yi, Ann; Moon, Woo Kyung

doi:10.2214/ajr.12.10416

Cited by 171 publications

(141 citation statements)

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Section: We Can Distinguish Two Types Of Elastographymentioning

confidence: 99%

“…Data acquisition and interpretation of elasticity images are largely dependent on the examiner´s experience, and significant interobserver variability has been found [3,4,13,14]. The real-time elastogram is displayed with a scale based on the relative strain of the tissues.…”

Section: We Can Distinguish Two Types Of Elastographymentioning

confidence: 99%

“…The first team was launched in 2003, later emerging numerous similar systems have been launched different commercial houses, which have been incorporated to ultrasound equipment progressively [2]. The results have been demonstrating that this technique is able to differentiate benign lesions from those with malignant behavior [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…This technique allows a qualitative assessment of the lesion. With real-time ultrasound elastography, the physical properties of soft tissue are revealed through characterization of the differences in stiffness between the region of interest and the surrounding tissue based on mechanically induced deformation (strain) of structures during B-mode scanning [8].Data acquisition and interpretation of elasticity images are largely dependent on the examiner´s experience, and significant interobserver variability has been found [3,4,13,14]. The real-time elastogram is displayed with a scale based on the relative strain of the tissues.…”

mentioning

confidence: 99%

“…Because the speed of sound through tissues is dependent on the "stiffness" of these tissues, a quantitative value of the stiffness can be obtained, shear wave velocity is proportional to stiffness. This technique has been reported to be highly reproducible for assessing elastographic features of breast lesions within and across observers, in contrast to strain elastography [3,5,17].SWE can be performed in real time; however, to obtain optimal images, remaining in the same plane for several seconds will improve image quality. SW propagation is depth limited, if a lesion is deeper than 3-4 cm or is very superficial, one may not obtain a reliable result.…”

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confidence: 99%

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Breast Elastography: Present and Future

Fernadez¹

2017

IJRRT

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Objective: Make a literature review of breast elastography, an imaging technique not so new today, for many still unknown in diagnostic ultrasound, which emerges in order to characterize complementarily tissues of the breast, contributing to differential diagnosis between benign and malignant lesions.Review: Today breast cancer is by far the most common cancer in women. Mammography and ultrasound has become an indispensable diagnostic tandem within the breast image, increasing the sensitivity of ultrasound mammography by 15% and both techniques are able to characterize most breast lesions. Using these techniques together we achieve a sensitivity of 85-100% and a specificity of 76-80%, specially in dense breasts where mammography is significantly limited [1]. Copyright: ©2017 Fernadez Keywords: We can distinguish two types of elastographyCompression elastography and "shear-wave" elastography (SWE).Compression elastography (strain) produces an image based on the displacement of the tissue from an external or patient source, and the movement of the tissue shows the direction of US beam propagation. This technique allows a qualitative assessment of the lesion. With real-time ultrasound elastography, the physical properties of soft tissue are revealed through characterization of the differences in stiffness between the region of interest and the surrounding tissue based on mechanically induced deformation (strain) of structures during B-mode scanning [8].Data acquisition and interpretation of elasticity images are largely dependent on the examiner´s experience, and significant interobserver variability has been found [3,4,13,14]. The real-time elastogram is displayed with a scale based on the relative strain of the tissues. The technique to obtain the optimal images varies with the algorithm used by the manufacturer of the ultrasound system. Monitoring of the B-mode image to confirm the lesion is only displaced in depth during scanning and otherwise moving in the field of view (FOV) will allow optimal images. With the displacement technique, one cannot be surveying the breast; scanning must be done in one stationary position.Modern US devices allow combined elasticity and 2D real time assessment of tissues or lesions, using the same probe as conventional ultrasound imaging [15]. Sonoelastography demonstrates the elasticity of a lesion related to the elasticity of the surrounding tissue [13], so the final result is based on the comparison between pre and postcompression data [10,15,16], however it´s difficult with this technique to amount of the stress during the compression process.In contrast to strain elastography, SWE uses an acoustic radiation force impulse created by a focused ultrasound beam, which allows measurement of the propagation speed of shear waves within the tissue to locally quantify its stiffness in kilopascals or m/s. Because the speed of sound through tissues is dependent on the "stiffness" of these tissues, a quantitative value of the stiffness can be obtained, shear wave velocity is propo...

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Section: We Can Distinguish Two Types Of Elastographymentioning

confidence: 99%

Section: We Can Distinguish Two Types Of Elastographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Breast Elastography: Present and Future

Fernadez¹

2017

IJRRT

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An Artificial Tactile Neuron Enabling Spiking Representation of Stiffness and Disease Diagnosis

et al. 2022

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compression affect the morphology, proliferation, and differentiation of related cells and tissues via downstream biochemical signals. Mechanical properties of biological systems in turn provide useful information about the biochemical states of cells and tissues. [1][2][3][4][5] For example, many solid tumors show mechanical properties that differ from those of the surrounding normal tissues. Thus, mapping the elastic stiffness of tissue, elastography, is often used to assess the fibrosis of liver or malignancy status of breast tumors. [6][7][8][9] Moreover, such stiffness mapping of tumors could be used for locating tumors during laparoscopic surgery or robotassisted minimally invasive surgery. [10] Therefore, identifying stiffness distribution of biological systems and features of biological systems can be useful for disease diagnosis or identifying malignant legions. The analysis of stiffness data, however, requires well-experienced clinicians and/or assistance of dataintensive computing task. [8,9,11] The data-intensive computing process, however, could pose several issues in terms of energy consumption and computing efficiency, potentially limiting Mechanical properties of biological systems provide useful informationabout the biochemical status of cells and tissues. Here, an artificial tactile neuron enabling spiking representation of stiffness and spiking neural network (SNN)-based learning for disease diagnosis is reported. An artificial spiking tactile neuron based on an ovonic threshold switch serving as an artificial soma and a piezoresistive sensor as an artificial mechanoreceptor is developed and shown to encode the elastic stiffness of pressed materials into spike frequency evolution patterns. SNN-based learning of ultrasound elastography images abstracted by spike frequency evolution rate enables the classification of malignancy status of breast tumors with a recognition accuracy up to 95.8%. The stiffness-encoding artificial tactile neuron and learning of spiking-represented stiffness patterns hold a great promise for the identification and classification of tumors for disease diagnosis and robot-assisted surgery with low power consumption, low latency, and yet high accuracy.

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Effects of Ultrasound for Bio‐Applications

Yuan,

Li,

2024

Advanced Sensor Research

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Ultrasound (US), as a non‐invasive mechanical wave, has served as a visual tool for medical diagnosis and therapy for echolocation effect, cavitation effect, thermal effect, and generation of reactive oxygen species (ROS) with the aid of sonosensitizers. This review summarizes the history, effects, and biomedical applications of US, and US‐assisted cancer therapy is highlighted. The rational combination of US with near‐infrared afterglow nanoparticles, anti‐tumor prodrugs, and stimuli‐responsive nanocarriers, demonstrates the great promise for bioimaging, cancer therapy, and drug delivery, promoting US‐related technology in biomedical diagnosis and therapeutics.

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Comparison of Shear-Wave and Strain Ultrasound Elastography in the Differentiation of Benign and Malignant Breast Lesions

Cited by 171 publications

References 29 publications

Breast Elastography: Present and Future

Breast Elastography: Present and Future

An Artificial Tactile Neuron Enabling Spiking Representation of Stiffness and Disease Diagnosis

Effects of Ultrasound for Bio‐Applications

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