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Thermal diffusivity and perfusion constants from in vivo MR-guided focussed ultrasound treatments: a feasibility study. | LitMetric

AI Article Synopsis

  • This study assesses whether thermal diffusivity and the Pennes perfusion parameter can be measured non-invasively using temperature data from magnetic resonance-guided focused ultrasound (MRgFUS) in both pre-clinical and clinical settings.
  • Experiments involving rabbits and human clinical cases were performed, showing that including cooling data significantly reduces variability in the measured properties, leading to results that are comparable to traditional invasive measurements.
  • The findings indicate that these thermal properties can be determined effectively with MRgFUS techniques, with better accuracy when cooling data is used, supporting future clinical applications.

Article Abstract

Purpose: This study investigates the feasibility of non-invasively determining thermal diffusivity (α) and the Pennes perfusion parameter (w) from pre-clinical and clinical magnetic resonance-guided focussed ultrasound (MRgFUS) temperature data.

Materials And Methods: Pre-clinical MRgFUS experiments were performed in rabbit muscle (N = 3, 28 sonications) using three-dimensional MR thermometry. Eight sonications were made in a clinical QA phantom with two-dimensional thermometry. Retrospective property determination was performed on clinical uterine fibroid (N = 8, 9 sonications) and desmoid tumour (N = 4, 7 sonications) data. The property determination method fits an analytical solution to MRgFUS temperatures in the coronal MR plane, including all temperatures acquired during heating and one cooling image. When possible, additional cooling data were acquired for property determination.

Results: Rabbit α and w from Heating Data (α = 0.164 mms, w = 7.9 kg ms) and Heating and Cooling Data (α = 0.146 mms, w = 3.3 kg ms) were within the range of gold-standard invasive measurements, with >50% reduction in variability by including cooling data. QA phantom property determination with cooling data yielded properties within 3% of expected values (α = 0.144 mms, w = 0.0 kg ms), a difference that was not statistically significant (p = 0.053). Uterine fibroid (Heating Data: α = 0.212 mms, w = 11.0 kg ms) and desmoid tumour (Heating & Cooling Data: α = 0.245 mms, w = 4.7 kg ms) properties are feasible but lack independent verification.

Conclusions: Thermal diffusivity and the Pennes perfusion parameter can be obtained from in vivo data and with clinical MRgFUS protocols. Property values are consistently improved by including cooling data. The utility of this property determination method will increase as clinical protocols implement improved temperature imaging.

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Source
http://dx.doi.org/10.1080/02656736.2017.1340677DOI Listing

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