Changes in Ultrasonic Properties of Liver Tissue In Vitro During Heating-Cooling Cycle Concomitant with Thermal Coagulation

Choi, Min Joo; Guntur, Sitaramanjaneya Reddy; Lee, Joo Myoung; Paeng, Dong Guk; Lee, Kang I.L.; Coleman, Andrew

doi:10.1016/j.ultrasmedbio.2011.06.015

Cited by 50 publications

(71 citation statements)

References 61 publications

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“…The methodologies from Arvanitis and McDannold (2013) and Jensen et al (2013) are examples of how passive cavitation imaging can be used in conjunction with other techniques to predict HIFU lesion formation. Many other ultrasound imaging modalities have the potential to be used with passive cavitation imaging for monitoring lesion formation, speed-of-sound imaging, echo decorrelation imaging or elastography (Righetti et al, 1999; Anand and Kaczkowski, 2008; Liu and Ebbini, 2010; Choi et al, 2011; Bing et al, 2011; Subramanian et al 2014). …”

Section: Discussionmentioning

confidence: 99%

Using Passive Cavitation Images to Classify High-Intensity Focused Ultrasound Lesions

Haworth

Salgaonkar

Corregan

et al. 2015

Ultrasound in Medicine & Biology

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Passive cavitation imaging provides spatially resolved monitoring of cavitation emissions. However the diffraction limit of a linear imaging array results in relatively poor range resolution. Poor range resolution has limited prior analyses of the spatial specificity and sensitivity of passive cavitation imaging for predicting thermal lesion formation. In this study, this limitation is overcome by orienting a linear array orthogonal to the HIFU propagation direction and performing passive imaging. Fourteen lesions were formed in ex vivo bovine liver samples as a result of 1.1 MHz continuous-wave ultrasound exposure. The lesions were classified as focal, “tadpole”, or pre-focal based on their shape and location. Passive cavitation images were beam-formed from emissions at the fundamental, harmonic, ultraharmonic, and inharmonic frequencies with an established algorithm. Using the area under a receiver operator characteristic curve (AUROC), fundamental, harmonic, and ultraharmonic emissions were shown to be significant predictors of lesion formation for all lesion types. For both harmonic and ultraharmonic emissions, pre-focal lesions were classified most successfully (AUROC values of 0.87 and 0.88, respectively), followed by tadpole lesions (AUROC values of 0.77 and 0.64, respectively), and focal lesions (AUROC values of 0.65 and 0.60, respectively).

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Section: Discussionmentioning

confidence: 99%

Using Passive Cavitation Images to Classify High-Intensity Focused Ultrasound Lesions

Haworth

Salgaonkar

Corregan

et al. 2015

Ultrasound in Medicine & Biology

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“…The attenuation coefficient and non-linear parameter (B/A) measured in ex vivo liver tissue nearly double as temperatures vary from 50 C-75 C (Choi et al 2011;Damianou et al 1997). The blood perfusion rate near tissue locally heated at coagulating temperatures up to 90 C was observed to increase up to 20 times the normal perfusion rate (Zhang et al 2011).…”

Section: Discussionmentioning

confidence: 99%

Influence of Temperature-Dependent Thermal Parameters on Temperature Elevation of Tissue Exposed to High-Intensity Focused Ultrasound: Numerical Simulation

Guntur

Choi

2015

Ultrasound in Medicine & Biology

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“…In addition to interpatient variability observed in vivo , it is widely accepted that acoustic properties of excised tissues are temperature dependent, and undergo irreversible changes as tissue begins to denature (7–12). Multiple studies have reported a 60–100% change in acoustic attenuation or absorption in excised muscle or liver tissue when ablated (tissue temperatures of 60–90 °C) (7,10,12,13), as well as a 10–20% change which occurs in tissues at sub-ablative temperatures (<50 °C) (14).…”

Section: Introductionmentioning

confidence: 99%

“…Multiple studies have reported a 60–100% change in acoustic attenuation or absorption in excised muscle or liver tissue when ablated (tissue temperatures of 60–90 °C) (7,10,12,13), as well as a 10–20% change which occurs in tissues at sub-ablative temperatures (<50 °C) (14). A previous in vitro study showed that assuming non-temperature-dependent acoustic absorption table values resulted in substantial errors in the predicted treatment volume (15).…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a MRgHIFU non-invasive tissue acoustic property estimation technique

Johnson

Dillon

Odéen

et al. 2016

International Journal of Hyperthermia

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MR-guided high-intensity focused ultrasound (MRgHIFU) non-invasive ablative surgeries have advanced into clinical trials for treating many pathologies and cancers. A remaining challenge of these surgeries is accurately planning and monitoring tissue heating in the face of patient-specific and dynamic acoustic properties of tissues. Currently, non-invasive measurements of acoustic properties have not been implemented in MRgHIFU treatment planning and monitoring procedures. This methods-driven study presents a technique using MR temperature imaging (MRTI) during low-temperature HIFU sonications to non-invasively estimate sample-specific acoustic absorption and speed of sound values in tissue-mimicking phantoms. Using measured thermal properties, specific absorption rate (SAR) patterns are calculated from the MRTI data and compared to simulated SAR patterns iteratively generated via the Hybrid Angular Spectrum (HAS) method. Once the error between the simulated and measured patterns is minimized, the estimated acoustic property values are compared to the true phantom values obtained via an independent technique. The estimated values are then used to simulate temperature profiles in the phantoms, and compared to experimental temperature profiles. This study demonstrates that trends in acoustic absorption and speed of sound can be non-invasively estimated with average errors of 21% and 1%, respectively. Additionally, temperature predictions using the estimated properties on average match within 1.2 °C of the experimental peak temperature rises in the phantoms. The positive results achieved in tissue-mimicking phantoms presented in this study indicate that this technique may be extended to in vivo applications, improving HIFU sonication temperature rise predictions and treatment assessment.

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Changes in Ultrasonic Properties of Liver Tissue In Vitro During Heating-Cooling Cycle Concomitant with Thermal Coagulation

Cited by 50 publications

References 61 publications

Using Passive Cavitation Images to Classify High-Intensity Focused Ultrasound Lesions

Using Passive Cavitation Images to Classify High-Intensity Focused Ultrasound Lesions

Influence of Temperature-Dependent Thermal Parameters on Temperature Elevation of Tissue Exposed to High-Intensity Focused Ultrasound: Numerical Simulation

Development and validation of a MRgHIFU non-invasive tissue acoustic property estimation technique

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