Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging

Thomas E. Yankeelov, Kenneth J. Niermann, Jessica Huamani, Dong W. Kim, Christopher C. Quarles, Arthur C. Fleischer, Dennis E. Hallahan, Ronald R. Price, John C. Gore

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Objective. We compared measurements of tumor perfusion from microbubble contrast-enhanced sonography (MCES) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in an animal tumor model. Methods. Seven mice were implanted with Lewis lung carcinoma cells on their hind limbs and imaged 14 days later with a Philips 5- to 7-MHz sonography system (Philips Medical Systems, Andover, MA) and a Varian 7.0-T MRI system (Varian, Inc, Palo Alto, CA). For sonographic imaging 100 μL of a perfluoropropane microbubble contrast agent (Definity; Bristol-Myers Squibb Medical Imaging, Billerica, MA) was injected and allowed to reach a pseudo steady state, after which a high-mechanical index pulse was delivered to destroy the microbubbles within the field of view, and the replenishment of the microbubbles was imaged for 30 to 60 seconds. The MRI included acquisition of a T10 map and 35 serial T1- weighted images (repetition time, 100 milliseconds; echo time, 3.1 milliseconds; α, 30°) after the injection of 100 μL of 0.2-mmol/kg gadopentetate dimeglumine (Magnevist; Berlex, Wayne, NJ). Region-of-interest and voxel-by-voxel analyses of both data sets were performed; microbubble contrast-enhanced sonography returned estimates of microvessel cross-sectional area, microbubble velocity, and mean blood flow, whereas DCE-MRI returned estimates of a perfusion-permeability index and the extravascular extracellular volume fraction. Results. Comparing similar regions of tumor tissue seen on sonography and MRI, region-of-interest analyses revealed a strong (r2 = 0.57) and significant relationship (P < .002) between the estimates of perfusion obtained by the two modalities. Conclusions. Microbubble contrast-enhanced sonography can effectively depict intratumoral heterogeneity in preclinical xenograft models when voxel-by-voxel analysis is performed, and this analysis correlates with similar DCE-MRI measurements.

Original languageEnglish (US)
Pages (from-to)487-497
Number of pages11
JournalJournal of Ultrasound in Medicine
Volume25
Issue number4
StatePublished - Apr 2006

Fingerprint

Microbubbles
magnetic resonance
Ultrasonography
tumors
Perfusion
Magnetic Resonance Imaging
estimates
Neoplasms
Gadolinium DTPA
perflutren
Lewis Lung Carcinoma
replenishment
Blood Flow Velocity
Diagnostic Imaging
blood flow
Microvessels
limbs
Heterografts
lungs
Contrast Media

Keywords

  • Dynamic contrast-enhanced magnetic resonance imaging
  • Microbubble contrast-enhanced sonography
  • Microbubbles
  • Tumor

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Acoustics and Ultrasonics

Cite this

Yankeelov, T. E., Niermann, K. J., Huamani, J., Kim, D. W., Quarles, C. C., Fleischer, A. C., ... Gore, J. C. (2006). Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging. Journal of Ultrasound in Medicine, 25(4), 487-497.

Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging. / Yankeelov, Thomas E.; Niermann, Kenneth J.; Huamani, Jessica; Kim, Dong W.; Quarles, Christopher C.; Fleischer, Arthur C.; Hallahan, Dennis E.; Price, Ronald R.; Gore, John C.

In: Journal of Ultrasound in Medicine, Vol. 25, No. 4, 04.2006, p. 487-497.

Research output: Contribution to journalArticle

Yankeelov, TE, Niermann, KJ, Huamani, J, Kim, DW, Quarles, CC, Fleischer, AC, Hallahan, DE, Price, RR & Gore, JC 2006, 'Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging', Journal of Ultrasound in Medicine, vol. 25, no. 4, pp. 487-497.
Yankeelov, Thomas E. ; Niermann, Kenneth J. ; Huamani, Jessica ; Kim, Dong W. ; Quarles, Christopher C. ; Fleischer, Arthur C. ; Hallahan, Dennis E. ; Price, Ronald R. ; Gore, John C. / Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging. In: Journal of Ultrasound in Medicine. 2006 ; Vol. 25, No. 4. pp. 487-497.
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abstract = "Objective. We compared measurements of tumor perfusion from microbubble contrast-enhanced sonography (MCES) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in an animal tumor model. Methods. Seven mice were implanted with Lewis lung carcinoma cells on their hind limbs and imaged 14 days later with a Philips 5- to 7-MHz sonography system (Philips Medical Systems, Andover, MA) and a Varian 7.0-T MRI system (Varian, Inc, Palo Alto, CA). For sonographic imaging 100 μL of a perfluoropropane microbubble contrast agent (Definity; Bristol-Myers Squibb Medical Imaging, Billerica, MA) was injected and allowed to reach a pseudo steady state, after which a high-mechanical index pulse was delivered to destroy the microbubbles within the field of view, and the replenishment of the microbubbles was imaged for 30 to 60 seconds. The MRI included acquisition of a T10 map and 35 serial T1- weighted images (repetition time, 100 milliseconds; echo time, 3.1 milliseconds; α, 30°) after the injection of 100 μL of 0.2-mmol/kg gadopentetate dimeglumine (Magnevist; Berlex, Wayne, NJ). Region-of-interest and voxel-by-voxel analyses of both data sets were performed; microbubble contrast-enhanced sonography returned estimates of microvessel cross-sectional area, microbubble velocity, and mean blood flow, whereas DCE-MRI returned estimates of a perfusion-permeability index and the extravascular extracellular volume fraction. Results. Comparing similar regions of tumor tissue seen on sonography and MRI, region-of-interest analyses revealed a strong (r2 = 0.57) and significant relationship (P < .002) between the estimates of perfusion obtained by the two modalities. Conclusions. Microbubble contrast-enhanced sonography can effectively depict intratumoral heterogeneity in preclinical xenograft models when voxel-by-voxel analysis is performed, and this analysis correlates with similar DCE-MRI measurements.",
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T1 - Correlation between estimates of tumor perfusion from microbubble contrast-enhanced sonography and dynamic contrast-enhanced magnetic resonance imaging

AU - Yankeelov, Thomas E.

AU - Niermann, Kenneth J.

AU - Huamani, Jessica

AU - Kim, Dong W.

AU - Quarles, Christopher C.

AU - Fleischer, Arthur C.

AU - Hallahan, Dennis E.

AU - Price, Ronald R.

AU - Gore, John C.

PY - 2006/4

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N2 - Objective. We compared measurements of tumor perfusion from microbubble contrast-enhanced sonography (MCES) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in an animal tumor model. Methods. Seven mice were implanted with Lewis lung carcinoma cells on their hind limbs and imaged 14 days later with a Philips 5- to 7-MHz sonography system (Philips Medical Systems, Andover, MA) and a Varian 7.0-T MRI system (Varian, Inc, Palo Alto, CA). For sonographic imaging 100 μL of a perfluoropropane microbubble contrast agent (Definity; Bristol-Myers Squibb Medical Imaging, Billerica, MA) was injected and allowed to reach a pseudo steady state, after which a high-mechanical index pulse was delivered to destroy the microbubbles within the field of view, and the replenishment of the microbubbles was imaged for 30 to 60 seconds. The MRI included acquisition of a T10 map and 35 serial T1- weighted images (repetition time, 100 milliseconds; echo time, 3.1 milliseconds; α, 30°) after the injection of 100 μL of 0.2-mmol/kg gadopentetate dimeglumine (Magnevist; Berlex, Wayne, NJ). Region-of-interest and voxel-by-voxel analyses of both data sets were performed; microbubble contrast-enhanced sonography returned estimates of microvessel cross-sectional area, microbubble velocity, and mean blood flow, whereas DCE-MRI returned estimates of a perfusion-permeability index and the extravascular extracellular volume fraction. Results. Comparing similar regions of tumor tissue seen on sonography and MRI, region-of-interest analyses revealed a strong (r2 = 0.57) and significant relationship (P < .002) between the estimates of perfusion obtained by the two modalities. Conclusions. Microbubble contrast-enhanced sonography can effectively depict intratumoral heterogeneity in preclinical xenograft models when voxel-by-voxel analysis is performed, and this analysis correlates with similar DCE-MRI measurements.

AB - Objective. We compared measurements of tumor perfusion from microbubble contrast-enhanced sonography (MCES) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in an animal tumor model. Methods. Seven mice were implanted with Lewis lung carcinoma cells on their hind limbs and imaged 14 days later with a Philips 5- to 7-MHz sonography system (Philips Medical Systems, Andover, MA) and a Varian 7.0-T MRI system (Varian, Inc, Palo Alto, CA). For sonographic imaging 100 μL of a perfluoropropane microbubble contrast agent (Definity; Bristol-Myers Squibb Medical Imaging, Billerica, MA) was injected and allowed to reach a pseudo steady state, after which a high-mechanical index pulse was delivered to destroy the microbubbles within the field of view, and the replenishment of the microbubbles was imaged for 30 to 60 seconds. The MRI included acquisition of a T10 map and 35 serial T1- weighted images (repetition time, 100 milliseconds; echo time, 3.1 milliseconds; α, 30°) after the injection of 100 μL of 0.2-mmol/kg gadopentetate dimeglumine (Magnevist; Berlex, Wayne, NJ). Region-of-interest and voxel-by-voxel analyses of both data sets were performed; microbubble contrast-enhanced sonography returned estimates of microvessel cross-sectional area, microbubble velocity, and mean blood flow, whereas DCE-MRI returned estimates of a perfusion-permeability index and the extravascular extracellular volume fraction. Results. Comparing similar regions of tumor tissue seen on sonography and MRI, region-of-interest analyses revealed a strong (r2 = 0.57) and significant relationship (P < .002) between the estimates of perfusion obtained by the two modalities. Conclusions. Microbubble contrast-enhanced sonography can effectively depict intratumoral heterogeneity in preclinical xenograft models when voxel-by-voxel analysis is performed, and this analysis correlates with similar DCE-MRI measurements.

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KW - Microbubble contrast-enhanced sonography

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KW - Tumor

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