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analysis coronary blood flow coronary ct angiography  (HeartFlow Inc)

 
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    Structured Review

    HeartFlow Inc analysis coronary blood flow coronary ct angiography
    Analysis Coronary Blood Flow Coronary Ct Angiography, supplied by HeartFlow Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/flow+analysis/analysis+coronary+blood+flow+coronary+ct+angiography/pm29311033-55-5-7
    Average 90 stars, based on 1 article reviews
    analysis coronary blood flow coronary ct angiography - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Software:

    Article Title: To pay or not to pay for artificial intelligence applications in radiology
    Article Snippet: Cleerly labs coronary analysis , Software application to determine the presence and extent of coronary atherosclerosis and stenosis from coronary CT angiography images , New Technology APC granted from 2023. .. MPFS , HeartFlow , Software to quantify coronary flow from coronary CT images , Included in the 2022 Medicare Physician Fee Schedule. ..

    Article Title: To pay or not to pay for artificial intelligence applications in radiology
    Article Snippet: Aidoc Briefcase for PE , Triage and notification software for pulmonary embolism (PE) in patients undergoing CT pulmonary angiography , Rejected in 2022. .. OPPS (APC) , HeartFlow , Software to quantify coronary flow from coronary CT images , New Technology APC granted in 2018; reassigned to clinical APC in 2022. .. , LiverMultiScan , Software to quantify liver pathology such as iron and fat content from liver magnetic resonance imaging (MRI) , New Technology APC granted from 2022.

    other:

    Article Title: Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve.
    Article Snippet: The HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps (NXT) trial (NCT01757678) was funded by HeartFlow, Inc.

    Article Title: Atherosclerosis, Stenosis, and Ischemia: One Primary, One Secondary, and One Tertiary.
    Article Snippet: In this issue of iJACC, Ahmadi et al. (9) present the results of a sub-analysis of the NXT (HeartFlow Analysis of Coronary Blood Flow Using Coronary CT Angiography) study, a prospective multicenter evaluation of 254 patients undergoing coronary CTA, ICA, and FFR to carefully examine the relationship of atherosclerosis, stenosis, and ischemia.

    Article Title: Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis.
    Article Snippet: Rationale and design of the HeartFlowNXT (HeartFlow Analysis of Coronary Blood Flow Using CT Angiography: NeXt sTeps) study.

    Article Title: Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis.
    Article Snippet: This is a subanalysis of NXT (HeartFlowNXT: HeartFlow Analysis of Coronary Blood Flow Using Coronary CT Angiography; NCT01757678) comprising patients suspected of stable coronary artery disease (CAD) (14).

    Article Title: Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve.
    Article Snippet: All 254 patients from the HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps (NXT) trial (NCT01757678) were considered for inclusion in the present analysis.8 The study population comprised patients with stable CAD who underwent coronary CTA within 60 days prior to clinically-indicated nonemergent invasive coronary angiography (ICA).

    Computed Tomography:

    Article Title: Application of physics-based flow models in cardiovascular medicine: Current practices and challenges
    Article Snippet: .. Coronary Artery Disease , HeartFlowNXT - HeartFlow Analysis of Coronary Blood Flow Using Coronary CT Angiography , Procedure: ICA (Invasive Coronary Angiography); Procedure: FFR (Fractional Flow Reserve); Procedure: cCTA (coronary computed tomography angiography); Other: FFRct Analysis (Fractional Flow Reserve Computed Tomography). .. Coronary Artery Stenosis , Validation of Stenosis Assessment by Coronary Artery Computed Tomography Against Invasive Measurements of Fractional Flow Reserve in Patients With Significant Coronary Artery Stenoses , Procedure: FFR, IVUS, VH, or combination of the three.



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    Image Search Results


    (A) Experimental design of in vitro SC assays ( iv SCAs) using the NF54 -gexp02-Tom P. falciparum line. Tightly synchronized schizonts (Generation -1) were allowed to reinvade red blood cells (RBCs) of different HBB genotypes, and ring stages (0-5 hpi) were cultured under non-inducing (+Choline) and inducing (-Choline) conditions. Parasite development was assessed by flow cytometry at 35-40 hpi (Generation 0) and 25-30 hpi/35-40 hpi (Generation 1). SCRs were measured by flow cytometry at 25-30 hpi and 35-40 hpi (Generation 1). SCRs by HBB genotype at 35-40 hpi (Generation 1) in (B) +Choline cultures and (C) in -Choline cultures. (D) Proportion of asexual and gametocyte stages and total parasitemia by HBB genotype at 35-40 hpi (Generation 1) in +Choline cultures. (E) Reticulocytes percentage by HBB genotype. Statistical tests: B, C and E, Beta-binomial GLMs with Bonferroni correction for pairwise comparisons. Significant p -values are shown as: p < 0.05*, p < 0.01**, p < 0.001***; non-significant p -values as: ns. Abbreviations: CTRL, control sample; GLMs, Generalized linear models; Hb, hemoglobin; HBB, human hemoglobin beta; Hpi, hours post-invasion; SC, sexual conversion; SCR, sexual conversion rates. Panel A was created in BioRender. Yasmina, D. (2026) https://BioRender.com/ew8vbur .

    Journal: PLOS Pathogens

    Article Title: Elevated Plasmodium falciparum sexual conversion in HbAC and HbAS red blood cells in naturally infected malaria patients

    doi: 10.1371/journal.ppat.1014542

    Figure Lengend Snippet: (A) Experimental design of in vitro SC assays ( iv SCAs) using the NF54 -gexp02-Tom P. falciparum line. Tightly synchronized schizonts (Generation -1) were allowed to reinvade red blood cells (RBCs) of different HBB genotypes, and ring stages (0-5 hpi) were cultured under non-inducing (+Choline) and inducing (-Choline) conditions. Parasite development was assessed by flow cytometry at 35-40 hpi (Generation 0) and 25-30 hpi/35-40 hpi (Generation 1). SCRs were measured by flow cytometry at 25-30 hpi and 35-40 hpi (Generation 1). SCRs by HBB genotype at 35-40 hpi (Generation 1) in (B) +Choline cultures and (C) in -Choline cultures. (D) Proportion of asexual and gametocyte stages and total parasitemia by HBB genotype at 35-40 hpi (Generation 1) in +Choline cultures. (E) Reticulocytes percentage by HBB genotype. Statistical tests: B, C and E, Beta-binomial GLMs with Bonferroni correction for pairwise comparisons. Significant p -values are shown as: p < 0.05*, p < 0.01**, p < 0.001***; non-significant p -values as: ns. Abbreviations: CTRL, control sample; GLMs, Generalized linear models; Hb, hemoglobin; HBB, human hemoglobin beta; Hpi, hours post-invasion; SC, sexual conversion; SCR, sexual conversion rates. Panel A was created in BioRender. Yasmina, D. (2026) https://BioRender.com/ew8vbur .

    Article Snippet: Samples for flow cytometry analysis (using a CytoFLEX LX flow cytometer, Beckman Coulter) were prepared by resuspending parasite cultures (1:3) in PBS containing 1% BSA, followed by staining with Hoechst 33342 (1:500, BD Pharmingen) in a final volume of 100 μl per well.

    Techniques: In Vitro, Cell Culture, Parasite, Flow Cytometry, Control

    (A) Microscopy-based quantification of parasite stages (rings, trophozoites and schizonts) expressed as percentages of a total of 100 counted parasites per sample. Y-axis: percentage of parasite stages (%); X-axis: HBB genotype groups (HbAA n = 1, HbAC n = 1 and HbAS n = 2, and HbSS n = 2 and HbSC n = 2 donors from a malaria-endemic area in Nanoro, Burkina Faso. Timepoints shown are where progression toward late stages ( i.e., schizont stages) is most clearly observed, namely 35–40 hpi (Generation 0; left graph and Generation 1; right graph). A shift towards earlier parasite stages indicates developmental delay.(B) Developmental progression of individual parasite cultures across timepoints 35–40 hpi (Generation 0), and 25–30 hpi and 35–40 hpi (Generation 1), shown as the proportion of late stages (schizonts) among total infected RBCs (iRBCs) measured by flow cytometry. Data are stratified by HBB genotype: HbAA ( n = 5), HbAC ( n = 5),HbAS ( n = 4), and HbSC ( n = 1) donors from a malaria-endemic area in Nanoro, Burkina Faso; and HbSS ( n = 12), HbSC ( n = 1) and n = 6 control HbAA donors [HbAA CTRL] from a non-endemic area. (C) Representative flow cytometry plots showing the gating strategy for the detection of late parasite stages. Left: total RBCs gated. Right: within the total RBCs gate in left plot, uninfected RBCs (uRBCs) and iRBCs are identified, with iRBCs further gated into early and late parasite stages by Hoechst 33342. Abbreviations: CTRL, control sample; FSC-A, Forward Scatter-Area; G0, Generation 0; G1, Generation 1; GLMs, Generalized linear models; Hb, hemoglobin; HBB, human hemoglobin beta; Hpi, hours post-invasion; RBCs, red blood cells; SSC-A, Side Scatter-Area; Timepoint abbreviations are specified in the figure legend.

    Journal: PLOS Pathogens

    Article Title: Elevated Plasmodium falciparum sexual conversion in HbAC and HbAS red blood cells in naturally infected malaria patients

    doi: 10.1371/journal.ppat.1014542

    Figure Lengend Snippet: (A) Microscopy-based quantification of parasite stages (rings, trophozoites and schizonts) expressed as percentages of a total of 100 counted parasites per sample. Y-axis: percentage of parasite stages (%); X-axis: HBB genotype groups (HbAA n = 1, HbAC n = 1 and HbAS n = 2, and HbSS n = 2 and HbSC n = 2 donors from a malaria-endemic area in Nanoro, Burkina Faso. Timepoints shown are where progression toward late stages ( i.e., schizont stages) is most clearly observed, namely 35–40 hpi (Generation 0; left graph and Generation 1; right graph). A shift towards earlier parasite stages indicates developmental delay.(B) Developmental progression of individual parasite cultures across timepoints 35–40 hpi (Generation 0), and 25–30 hpi and 35–40 hpi (Generation 1), shown as the proportion of late stages (schizonts) among total infected RBCs (iRBCs) measured by flow cytometry. Data are stratified by HBB genotype: HbAA ( n = 5), HbAC ( n = 5),HbAS ( n = 4), and HbSC ( n = 1) donors from a malaria-endemic area in Nanoro, Burkina Faso; and HbSS ( n = 12), HbSC ( n = 1) and n = 6 control HbAA donors [HbAA CTRL] from a non-endemic area. (C) Representative flow cytometry plots showing the gating strategy for the detection of late parasite stages. Left: total RBCs gated. Right: within the total RBCs gate in left plot, uninfected RBCs (uRBCs) and iRBCs are identified, with iRBCs further gated into early and late parasite stages by Hoechst 33342. Abbreviations: CTRL, control sample; FSC-A, Forward Scatter-Area; G0, Generation 0; G1, Generation 1; GLMs, Generalized linear models; Hb, hemoglobin; HBB, human hemoglobin beta; Hpi, hours post-invasion; RBCs, red blood cells; SSC-A, Side Scatter-Area; Timepoint abbreviations are specified in the figure legend.

    Article Snippet: Samples for flow cytometry analysis (using a CytoFLEX LX flow cytometer, Beckman Coulter) were prepared by resuspending parasite cultures (1:3) in PBS containing 1% BSA, followed by staining with Hoechst 33342 (1:500, BD Pharmingen) in a final volume of 100 μl per well.

    Techniques: Microscopy, Parasite, Infection, Flow Cytometry, Control