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Minarik D, Senneby M, Wollmer P, et al. Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patients. EJNMMI Res. 2015;5(1):121doi: 10.1186/s13550-015-0121-3.
Minarik, D., Senneby, M., Wollmer, P., Mansten, A., Sjöstrand, K., Edenbrandt, L., & Trägårdh, E. (2015). Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patients. EJNMMI research, 5(1), 121. https://doi.org/10.1186/s13550-015-0121-3
Minarik, David, et al. "Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patients." EJNMMI research vol. 5,1 (2015): 121. doi: https://doi.org/10.1186/s13550-015-0121-3
Minarik D, Senneby M, Wollmer P, Mansten A, Sjöstrand K, Edenbrandt L, Trägårdh E. Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patients. EJNMMI Res. 2015 Dec;5(1):121. doi: 10.1186/s13550-015-0121-3. Epub 2015 Aug 14. PMID: 26268545; PMCID: PMC4534480.
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EJNMMI Res. 2015 Dec;5(1):121. doi: 10.1186/s13550-015-0121-3. Epub 2015 Aug 14.

Perfusion vector-a new method to quantify myocardial perfusion scintigraphy images: a simulation study with validation in patients.

EJNMMI research

David Minarik, Martin Senneby, Per Wollmer, Alva Mansten, Karl Sjöstrand, Lars Edenbrandt, Elin Trägårdh

Affiliations

  1. Radiation Physics, Skåne University Hospital, Lund University, Malmö, Sweden, [email protected].

PMID: 26268545 PMCID: PMC4534480 DOI: 10.1186/s13550-015-0121-3

Abstract

BACKGROUND: The interpretation of myocardial perfusion scintigraphy (MPS) largely relies on visual assessment by the physician of the localization and extent of a perfusion defect. The aim of this study was to introduce the concept of the perfusion vector as a new objective quantitative method for further assisting the visual interpretation and to test the concept using simulated MPS images as well as patients.

METHODS: The perfusion vector is based on calculating the difference between the anatomical centroid and the perfusion center of gravity of the left ventricle. Simulated MPS images were obtained using the SIMIND Monte Carlo program together with XCAT phantom. Four different-sized anterior and four lateral defects were simulated, and perfusion vector components x-, y-, and z-axes were calculated. For the patient study, 40 normal and 80 abnormal studies were included. Perfusion vectors were compared between normal and abnormal (apical, inferior, anterior, and lateral ischemia or infarction) studies and also correlated to the defect size.

RESULTS: For simulated anterior defects, the stress perfusion vector component on the y-axis (anterior-inferior direction) increased in proportion to the defect size. For the simulated lateral defects, the stress perfusion vector component on the x-axis (septal-lateral direction) decreased in proportion to the defect size. When comparing normal and abnormal patients, there was a statistically significant difference for the stress perfusion vector on the x-axis for apical and lateral defects; on the y-axis for apical, inferior, and lateral defects; and on the z-axis (basal-apical direction) for apical, anterior, and lateral defects. A significant difference was shown for the difference vector magnitude (stress/rest) between normal and ischemic patients (p = 0.001) but not for patients with infarction. The correlation between the defect size and stress vector magnitude was also found to be significant (p < 0.001).

CONCLUSIONS: The concept of the perfusion vector introduced in this study is shown to have potential in assisting the visual interpretation in MPS studies. Further studies are needed to validate the concept in patients.

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