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quantitative plaque analysi

Significance: This approach would make large-scale quantitative plaque analysis more realistic and promote the adoption of MR VWI in ICAD management.

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks

quantitative plaque analysi

In lesions with stenosis ≥25%, quantitative plaque analysis and maximum 18F-NaF target to background ratios (TBRs) were measured.

Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography.

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quantitative plaque assay

Methods: The studies were done by qualitative and quantitative plaque assay method.

Study of characteristics of mycobacteriophage – A novel tool to treat Mycobacterium spp.

quantitative plaque assay

First, we evaluated multiple parameters to build up a quantitative plaque assay to measure infectious RSV.

Development and application of a higher throughput RSV plaque assay by immunofluorescent imaging.

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Quantitative Plaque sentence examples within quantitative plaque characteristic

quantitative plaque characteristic

Background We aim to evaluate the relationship between quantitative plaque characteristics detected by dual-source computed tomography angiography (DSCTA) and myocardial ischemia as assessed by single photon emission computed tomography myocardial perfusion imaging (SPECT-MPI).

Quantification of plaque characteristics detected by dual source computed tomography angiography to predict myocardial ischemia as assessed by single photon emission computed tomography myocardial perfusion imaging.

quantitative plaque characteristic

We sought to evaluate the association between intravascular ultrasound (IVUS) or optical coherence tomography (OCT)-derived quantitative plaque characteristics and the severity of physiologic stenosis.

Intravascular ultrasound or optical coherence tomography-defined anatomic severity and hemodynamic severity assessed by coronary physiologic indices.

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10.1016/J.EJRAD.2019.04.013

Commercially available plaque quantification software was used to automatically extract quantitative plaque morphology: lumen area, wall area, stenosis percentage, wall thickness, plaque burden, remodeling ratio, calcified area, lipid rich necrotic core (LRNC) area and matrix area.

Automated plaque analysis for the prognostication of major adverse cardiac events.

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10.1109/TBME.2019.2896972

Significance: This approach would make large-scale quantitative plaque analysis more realistic and promote the adoption of MR VWI in ICAD management.

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks

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10.1093/ehjci/jez152

In lesions with stenosis ≥25%, quantitative plaque analysis and maximum 18F-NaF target to background ratios (TBRs) were measured.

Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography.

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10.4103/ijmy.ijmy_42_19

Methods: The studies were done by qualitative and quantitative plaque assay method.

Study of characteristics of mycobacteriophage – A novel tool to treat Mycobacterium spp.

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10.4070/kcj.2019.0315

The aim of this article is to review the future directions of emerging applications in CCTA, such as computed tomography (CT)-fractional flow reserve, imaging of vulnerable plaque features, and quantitative plaque imaging.

Future Directions in Coronary CT Angiography: CT-Fractional Flow Reserve, Plaque Vulnerability, and Quantitative Plaque Assessment

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10.21037/QIMS.2019.04.07

Background We aim to evaluate the relationship between quantitative plaque characteristics detected by dual-source computed tomography angiography (DSCTA) and myocardial ischemia as assessed by single photon emission computed tomography myocardial perfusion imaging (SPECT-MPI).

Quantification of plaque characteristics detected by dual source computed tomography angiography to predict myocardial ischemia as assessed by single photon emission computed tomography myocardial perfusion imaging.

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10.1016/j.jviromet.2018.10.022

First, we evaluated multiple parameters to build up a quantitative plaque assay to measure infectious RSV.

Development and application of a higher throughput RSV plaque assay by immunofluorescent imaging.

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10.1111/ajt.15721

We assessed the additive diagnostic benefit of quantitative plaque analysis in patients undergoing coronary computed tomography–angiography (CCTA).

Coronary computed tomography–angiography quantitative plaque analysis improves detection of early cardiac allograft vasculopathy: A pilot study

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10.1016/j.rec.2019.11.001

We sought to evaluate the association between intravascular ultrasound (IVUS) or optical coherence tomography (OCT)-derived quantitative plaque characteristics and the severity of physiologic stenosis.

Intravascular ultrasound or optical coherence tomography-defined anatomic severity and hemodynamic severity assessed by coronary physiologic indices.

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10.4244/eij-d-18-00113

Quantitative plaque analysis was performed in the main vessel (MV) and SB.

Prediction of side branch occlusions in percutaneous coronary interventions by coronary computed tomography: the CT bifurcation score as a novel tool for predicting intraprocedural side branch occlusion.

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10.4244/EIJ-D-18-00113

Quantitative plaque analysis was done in both main vessel (MV) and SB.

Prediction of Side Branch Occlusion in Percutaneous Coronary Intervention by Coronary Computed Tomography Angiography.

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Quantitative Plaque
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What is/are Quantitative Plaque?

Quantitative Plaque - Commercially available plaque quantification software was used to automatically extract quantitative plaque morphology: lumen area, wall area, stenosis percentage, wall thickness, plaque burden, remodeling ratio, calcified area, lipid rich necrotic core (LRNC) area and matrix area. [1] Significance: This approach would make large-scale quantitative plaque analysis more realistic and promote the adoption of MR VWI in ICAD management. [2] In lesions with stenosis ≥25%, quantitative plaque analysis and maximum 18F-NaF target to background ratios (TBRs) were measured. [3] Methods: The studies were done by qualitative and quantitative plaque assay method. [4] The aim of this article is to review the future directions of emerging applications in CCTA, such as computed tomography (CT)-fractional flow reserve, imaging of vulnerable plaque features, and quantitative plaque imaging. [5] Background We aim to evaluate the relationship between quantitative plaque characteristics detected by dual-source computed tomography angiography (DSCTA) and myocardial ischemia as assessed by single photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). [6] First, we evaluated multiple parameters to build up a quantitative plaque assay to measure infectious RSV. [7] We assessed the additive diagnostic benefit of quantitative plaque analysis in patients undergoing coronary computed tomography–angiography (CCTA). [8] We sought to evaluate the association between intravascular ultrasound (IVUS) or optical coherence tomography (OCT)-derived quantitative plaque characteristics and the severity of physiologic stenosis. [9] Quantitative plaque analysis was performed in the main vessel (MV) and SB. [10] Quantitative plaque analysis was done in both main vessel (MV) and SB. [11]

quantitative plaque analysi

Significance: This approach would make large-scale quantitative plaque analysis more realistic and promote the adoption of MR VWI in ICAD management. [1] In lesions with stenosis ≥25%, quantitative plaque analysis and maximum 18F-NaF target to background ratios (TBRs) were measured. [2] We assessed the additive diagnostic benefit of quantitative plaque analysis in patients undergoing coronary computed tomography–angiography (CCTA). [3] Quantitative plaque analysis was performed in the main vessel (MV) and SB. [4] Quantitative plaque analysis was done in both main vessel (MV) and SB. [5]

quantitative plaque assay

Methods: The studies were done by qualitative and quantitative plaque assay method. [1] First, we evaluated multiple parameters to build up a quantitative plaque assay to measure infectious RSV. [2]

quantitative plaque characteristic

Background We aim to evaluate the relationship between quantitative plaque characteristics detected by dual-source computed tomography angiography (DSCTA) and myocardial ischemia as assessed by single photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). [1] We sought to evaluate the association between intravascular ultrasound (IVUS) or optical coherence tomography (OCT)-derived quantitative plaque characteristics and the severity of physiologic stenosis. [2]