Contemporary Patient Radiation Exposure From Pet Versus Spect Mpi

Desiderio, Michael; Lundbye, Justin; Baker, William L.; Farrell, Mary Beth; Heller, Gary V.

doi:10.1016/s0735-1097(18)32030-8

Cited by 2 publications

(2 citation statements)

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“…Despite advancements in SPECT imaging, such as ECG-gating, hybrid SPECT/CT, and improved count sensitivity (Piccinelli and Garcia 2016), PET is generally considered a superior modality for MPI (Ardle et al 2012). PET is currently the preferred modality for noninvasive perfusion quantification with the potential to assess multi-vessel disease (Desiderio et al 2018). However, major disadvantages of PET are cost and limited availability.…”

Section: Introductionmentioning

confidence: 99%

The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT

Eck¹,

Muzic²,

Levi³

et al. 2018

Phys. Med. Biol.

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In this work, we clarified the role of acquisition parameters and quantification methods in myocardial blood flow (MBF) estimability for myocardial perfusion imaging using CT (MPI-CT). We used a physiologic model with a CT simulator to generate time-attenuation curves across a range of imaging conditions, i.e. tube current-time product, imaging duration, and temporal sampling, and physiologic conditions, i.e. MBF and arterial input function width. We assessed MBF estimability by precision (interquartile range of MBF estimates) and bias (difference between median MBF estimate and reference MBF) for multiple quantification methods. Methods included: six existing model-based deconvolution models, such as the plug-flow tissue uptake model (PTU), Fermi function model, and single-compartment model (SCM); two proposed robust physiologic models (RPM1, RPM2); model-independent singular value decomposition with Tikhonov regularization determined by the L-curve criterion (LSVD); and maximum upslope (MUP). Simulations show that MBF estimability is most affected by changes in imaging duration for model-based methods and by changes in tube current-time product and sampling interval for model-independent methods. Models with three parameters, i.e. RPM1, RPM2, and SCM, gave least biased and most precise MBF estimates. The average relative bias (precision) for RPM1, RPM2, and SCM was ⩽11% (⩽10%) and the models produced high-quality MBF maps in CT simulated phantom data as well as in a porcine model of coronary artery stenosis. In terms of precision, the methods ranked best-to-worst are: RPM1 > RPM2 > Fermi > SCM > LSVD > MUP [Formula: see text] other methods. In terms of bias, the models ranked best-to-worst are: SCM > RPM2 > RPM1 > PTU > LSVD [Formula: see text] other methods. Models with four or more parameters, particularly five-parameter models, had very poor precision (as much as 310% uncertainty) and/or significant bias (as much as 493%) and were sensitive to parameter initialization, thus suggesting the presence of multiple local minima. For improved estimates of MBF from MPI-CT, it is recommended to use reduced models that incorporate prior knowledge of physiology and contrast agent uptake, such as the proposed RPM1 and RPM2 models.

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Section: Introductionmentioning

confidence: 99%

The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT

Eck¹,

Muzic²,

Levi³

et al. 2018

Phys. Med. Biol.

View full text Add to dashboard Cite

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“…These cutting edge imaging techniques have been proven to be highly beneficial in detecting any abnormalities in the tissue structure based on two-dimensional (2D) or three-dimensional (3D) images that produce very detailed anatomic information of the scanned body. However, these machines are costly in price and require the use of contrast agents or radioactive tracers to be administered into the patient's body, hence, limiting the application of this approach on pregnant women in particular [7,8].…”

Section: Introductionmentioning

confidence: 99%

Low Cost Laser Speckle Imaging System for Blood Flow Assessment

2019

IJRTE

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This paper aims to demonstrate the feasibility of using a low cost laser speckle imaging built for the detection of changes of tissue blood flow with different experimental conditions. Images of anterior portion of the wrist of four healthy adult volunteers illuminated by a laser source of wavelength 650 nm were collected via a monochromatic charge-coupled device (CCD) imager. The mean and standard deviation (SD) of blood flow perfusion was predicted as 3.92 ± 1.47 and 2.90 ± 1.39, respectively, for measurements at rest condition and during blood flow occlusion. This work showed the ability of the developed system to detect changes in blood flow perfusion with differences in the experimental conditions. However, further works are required to further confirm the suitability of the system before it is used for different clinical applications such as monitoring of blood flow during diabetic foot ulcers healing following standard medical treatment.

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Contemporary Patient Radiation Exposure From Pet Versus Spect Mpi

Cited by 2 publications

References 0 publications

The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT

The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT

Low Cost Laser Speckle Imaging System for Blood Flow Assessment

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