Quantification in molecular ultrasound imaging using compartmental modeling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of project detailed in this paper was to develop a pharmacokinetic compartmental model for describing the complex activity of targeted microbubble (MB) contrast agents used for molecular ultrasound (US) imaging. This imaging study used renal cell carcinoma (RCC)-bearing mice. Either VEGFRR2-targeted or control MBs were intravenously injected. Each animal was imaged before MB injection and for 5 min after using a low-intensity nonlinear imaging mode implemented on a SONIX RP US system (BK Ultrasound) equipped with a L12-4 transducer. After a 4 h delay to allow MB clearance, a subset of animals that received targeted MBs during the first imaging session were reimaged using control MBs and vice versa. Tumors were manually segmented from the US image sequences and a mean intensity value was computed for each frame. A two compartment kinetic model was developed and fit to time-intensity curve (TIC) data. Input parameters for this model include MB dose, tumor size and vascular volume. Output parameters were then estimated using this model that relate to targeted MB binding and clearance. An estimate of fractional tumor vascularity was computed as the percentage of image pixels above a defined intensity threshold compared to the number of pixels for the tumor space. After euthanasia, immunohistologic analysis was performed on excised tumor tissue. The model was in good agreement with TIC data describing targeted MB flow and binding in the tumor vascularity (R2 > 0.89, p < 0.05). Using VEGFR2-targeted MBs, the binding constant was significantly considerably higher than when using control MBs (p = 0.07) In the targeted MB group, regression analysis revealed a positive correlation between the binding constant and VEGFRR2 expression (R2 = 0.75) that diminished when using control MBs in the same animals (R2 = 0.12). There was no difference in vascular or tumor volume estimates when using either targeted or control MBs (p > 0.77). Overall, the two-compartment model may be useful for describing flow binding kinetics of targeted MBs used during molecular US studies.

Original languageEnglish (US)
Title of host publication2016 IEEE International Ultrasonics Symposium, IUS 2016
PublisherIEEE Computer Society
Volume2016-November
ISBN (Electronic)9781467398978
DOIs
StatePublished - Nov 1 2016
Event2016 IEEE International Ultrasonics Symposium, IUS 2016 - Tours, France
Duration: Sep 18 2016Sep 21 2016

Other

Other2016 IEEE International Ultrasonics Symposium, IUS 2016
CountryFrance
CityTours
Period9/18/169/21/16

Fingerprint

tumors
clearances
compartments
animals
pixels
kinetics
curves
set theory
mice
transducers
cancer
injection
dosage
thresholds
output
estimates

Keywords

  • compartmental modeling
  • contrast agents
  • microbubbles
  • molecular imaging
  • ultrasound

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Hoyt, K., Sirsi, S., & Mattrey, R. (2016). Quantification in molecular ultrasound imaging using compartmental modeling. In 2016 IEEE International Ultrasonics Symposium, IUS 2016 (Vol. 2016-November). [7728486] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2016.7728486

Quantification in molecular ultrasound imaging using compartmental modeling. / Hoyt, Kenneth; Sirsi, Shashank; Mattrey, Robert.

2016 IEEE International Ultrasonics Symposium, IUS 2016. Vol. 2016-November IEEE Computer Society, 2016. 7728486.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hoyt, K, Sirsi, S & Mattrey, R 2016, Quantification in molecular ultrasound imaging using compartmental modeling. in 2016 IEEE International Ultrasonics Symposium, IUS 2016. vol. 2016-November, 7728486, IEEE Computer Society, 2016 IEEE International Ultrasonics Symposium, IUS 2016, Tours, France, 9/18/16. https://doi.org/10.1109/ULTSYM.2016.7728486
Hoyt K, Sirsi S, Mattrey R. Quantification in molecular ultrasound imaging using compartmental modeling. In 2016 IEEE International Ultrasonics Symposium, IUS 2016. Vol. 2016-November. IEEE Computer Society. 2016. 7728486 https://doi.org/10.1109/ULTSYM.2016.7728486
Hoyt, Kenneth ; Sirsi, Shashank ; Mattrey, Robert. / Quantification in molecular ultrasound imaging using compartmental modeling. 2016 IEEE International Ultrasonics Symposium, IUS 2016. Vol. 2016-November IEEE Computer Society, 2016.
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