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Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast.
DiCarlo, Julie C; Jarrett, Angela M; Kazerouni, Anum S; Virostko, John; Sorace, Anna; Slavkova, Kalina P; Woodard, Stefanie; Avery, Sarah; Patt, Debra; Goodgame, Boone; Yankeelov, Thomas E.
Afiliação
  • DiCarlo JC; The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, USA.
  • Jarrett AM; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas, USA.
  • Kazerouni AS; The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, USA.
  • Virostko J; Department of Radiology, University of Washington, Seattle, Washington, USA.
  • Sorace A; The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, USA.
  • Slavkova KP; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas, USA.
  • Woodard S; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, Texas, USA.
  • Avery S; Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Patt D; Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Goodgame B; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Yankeelov TE; Department of Physics, The University of Texas at Austin, Austin, Texas, USA.
Magn Reson Med ; 89(3): 1134-1150, 2023 03.
Article em En | MEDLINE | ID: mdl-36321574
ABSTRACT

PURPOSE:

A method is presented to select the optimal time points at which to measure DCE-MRI signal intensities, leaving time in the MR exam for high-spatial resolution image acquisition. THEORY Simplicial complexes are generated from the Kety-Tofts model pharmacokinetic parameters Ktrans and ve . A geometric search selects optimal time points for accurate estimation of perfusion parameters.

METHODS:

The DCE-MRI data acquired in women with invasive breast cancer (N = 27) were used to retrospectively compare parameter maps fit to full and subsampled time courses. Simplicial complexes were generated for a fixed range of Kety-Tofts model parameters and for the parameter ranges weighted by estimates from the fully sampled data. The largest-area manifolds determined the optimal three time points for each case. Simulations were performed along with retrospectively subsampled data fits. The agreement was computed between the model parameters fit to three points and those fit to all points.

RESULTS:

The optimal three-point sample times were from the data-informed simplicial complex analysis and determined to be 65, 204, and 393 s after arrival of the contrast agent to breast tissue. In the patient data, tumor-median parameter values fit using all points and the three selected time points agreed with concordance correlation coefficients of 0.97 for Ktrans and 0.67 for ve .

CONCLUSION:

It is possible to accurately estimate pharmacokinetic parameters from three properly selected time points inserted into a clinical DCE-MRI breast exam. This technique can provide guidance on when to capture images for quantitative data between high-spatial-resolution DCE-MRI images.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama Tipo de estudo: Guideline Limite: Female / Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Mama / Neoplasias da Mama Tipo de estudo: Guideline Limite: Female / Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos