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Showing 1 to 12 of 72 entries
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Social Media Offers Academia a Tool.

Radiology

Lee SI, Bluemke DA.
PMID: 34374598
Radiology. 2021 Oct;301(1):198-199. doi: 10.1148/radiol.2021211413. Epub 2021 Aug 10.

No abstract available.

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Lee SI, Bluemke DA. Social Media Offers Academia a Tool. Radiology. 2021;301(1):198-199doi: 10.1148/radiol.2021211413.
Lee, S. I., & Bluemke, D. A. (2021). Social Media Offers Academia a Tool. Radiology, 301(1), 198-199. https://doi.org/10.1148/radiol.2021211413
Lee, Susanna I, and Bluemke, David A. "Social Media Offers Academia a Tool." Radiology vol. 301,1 (2021): 198-199. doi: https://doi.org/10.1148/radiol.2021211413
Lee SI, Bluemke DA. Social Media Offers Academia a Tool. Radiology. 2021 Oct;301(1):198-199. doi: 10.1148/radiol.2021211413. Epub 2021 Aug 10. PMID: 34374598.
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Reply: Prognostic Role of Pericardial Fat on the Incidence of Heart Failure.

Journal of the American College of Cardiology

Kenchaiah S, Budoff MJ, Ding J, Carr JJ, Bluemke DA.
PMID: 34620417
J Am Coll Cardiol. 2021 Oct 12;78(15):e113-e115. doi: 10.1016/j.jacc.2021.08.008.

No abstract available.

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Kenchaiah S, Budoff MJ, Ding J, et al. Reply: Prognostic Role of Pericardial Fat on the Incidence of Heart Failure. J Am Coll Cardiol. 2021;78(15):e113-e115doi: 10.1016/j.jacc.2021.08.008.
Kenchaiah, S., Budoff, M. J., Ding, J., Carr, J. J., & Bluemke, D. A. (2021). Reply: Prognostic Role of Pericardial Fat on the Incidence of Heart Failure. Journal of the American College of Cardiology, 78(15), e113-e115. https://doi.org/10.1016/j.jacc.2021.08.008
Kenchaiah, Satish, et al. "Reply: Prognostic Role of Pericardial Fat on the Incidence of Heart Failure." Journal of the American College of Cardiology vol. 78,15 (2021): e113-e115. doi: https://doi.org/10.1016/j.jacc.2021.08.008
Kenchaiah S, Budoff MJ, Ding J, Carr JJ, Bluemke DA. Reply: Prognostic Role of Pericardial Fat on the Incidence of Heart Failure. J Am Coll Cardiol. 2021 Oct 12;78(15):e113-e115. doi: 10.1016/j.jacc.2021.08.008. PMID: 34620417.
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A simplified empirical model to estimate oxygen relaxivity at different magnetic fields.

NMR in biomedicine

Bluemke E, Stride E, Bulte DP.
PMID: 34599536
NMR Biomed. 2022 Feb;35(2):e4625. doi: 10.1002/nbm.4625. Epub 2021 Oct 02.

The change in longitudinal relaxation rate (R

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Bluemke E, Stride E, Bulte DP. A simplified empirical model to estimate oxygen relaxivity at different magnetic fields. NMR Biomed. 2021;35(2):e4625doi: 10.1002/nbm.4625.
Bluemke, E., Stride, E., & Bulte, D. P. (2022). A simplified empirical model to estimate oxygen relaxivity at different magnetic fields. NMR in biomedicine, 35(2), e4625. https://doi.org/10.1002/nbm.4625
Bluemke, Emma, et al. "A simplified empirical model to estimate oxygen relaxivity at different magnetic fields." NMR in biomedicine vol. 35,2 (2022): e4625. doi: https://doi.org/10.1002/nbm.4625
Bluemke E, Stride E, Bulte DP. A simplified empirical model to estimate oxygen relaxivity at different magnetic fields. NMR Biomed. 2022 Feb;35(2):e4625. doi: 10.1002/nbm.4625. Epub 2021 Oct 02. PMID: 34599536.
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Cardiac CT for Acute Chest Pain.

Radiology

Nagpal P, Bluemke DA.
PMID: 34874205
Radiology. 2021 Dec 07;212603. doi: 10.1148/radiol.212603. Epub 2021 Dec 07.

No abstract available.

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Nagpal P, Bluemke DA. Cardiac CT for Acute Chest Pain. Radiology. 2021;212603doi: 10.1148/radiol.212603.
Nagpal, P., & Bluemke, D. A. (2021). Cardiac CT for Acute Chest Pain. Radiology, 212603. https://doi.org/10.1148/radiol.212603
Nagpal, Prashant, and Bluemke, David A. "Cardiac CT for Acute Chest Pain." Radiology vol. (2021): 212603. doi: https://doi.org/10.1148/radiol.212603
Nagpal P, Bluemke DA. Cardiac CT for Acute Chest Pain. Radiology. 2021 Dec 07;212603. doi: 10.1148/radiol.212603. Epub 2021 Dec 07. PMID: 34874205.
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A General Model to Calculate the Spin-Lattice Relaxation Rate (R1) of Blood, Accounting for Hematocrit, Oxygen Saturation, Oxygen Partial Pressure, and Magnetic Field Strength Under Hyperoxic Conditions.

Journal of magnetic resonance imaging : JMRI

Bluemke E, Stride E, Bulte DP.
PMID: 34596290
J Magn Reson Imaging. 2021 Oct 01; doi: 10.1002/jmri.27938. Epub 2021 Oct 01.

BACKGROUND: Under normal physiological conditions, the spin-lattice relaxation rate (R1) in blood is influenced by many factors, including hematocrit, field strength, and the paramagnetic effects of deoxyhemoglobin and dissolved oxygen. In addition, techniques such as oxygen-enhanced magnetic resonance imaging...

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Bluemke E, Stride E, Bulte DP. A General Model to Calculate the Spin-Lattice Relaxation Rate (R1) of Blood, Accounting for Hematocrit, Oxygen Saturation, Oxygen Partial Pressure, and Magnetic Field Strength Under Hyperoxic Conditions. J Magn Reson Imaging. 2021;doi: 10.1002/jmri.27938.
Bluemke, E., Stride, E., & Bulte, D. P. (2021). A General Model to Calculate the Spin-Lattice Relaxation Rate (R1) of Blood, Accounting for Hematocrit, Oxygen Saturation, Oxygen Partial Pressure, and Magnetic Field Strength Under Hyperoxic Conditions. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.27938
Bluemke, Emma, et al. "A General Model to Calculate the Spin-Lattice Relaxation Rate (R1) of Blood, Accounting for Hematocrit, Oxygen Saturation, Oxygen Partial Pressure, and Magnetic Field Strength Under Hyperoxic Conditions." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.27938
Bluemke E, Stride E, Bulte DP. A General Model to Calculate the Spin-Lattice Relaxation Rate (R1) of Blood, Accounting for Hematocrit, Oxygen Saturation, Oxygen Partial Pressure, and Magnetic Field Strength Under Hyperoxic Conditions. J Magn Reson Imaging. 2021 Oct 01; doi: 10.1002/jmri.27938. Epub 2021 Oct 01. PMID: 34596290.
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Editor's Note: 2020-A Year Like No Other for .

Radiology

Bluemke DA.
PMID: 33350896
Radiology. 2021 Feb;298(2):243-244. doi: 10.1148/radiol.2020209028. Epub 2020 Dec 22.

No abstract available.

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Bluemke DA. Editor's Note: 2020-A Year Like No Other for . Radiology. 2020;298(2):243-244doi: 10.1148/radiol.2020209028.
Bluemke, D. A. (2021). Editor's Note: 2020-A Year Like No Other for . Radiology, 298(2), 243-244. https://doi.org/10.1148/radiol.2020209028
Bluemke, David A. "Editor's Note: 2020-A Year Like No Other for ." Radiology vol. 298,2 (2021): 243-244. doi: https://doi.org/10.1148/radiol.2020209028
Bluemke DA. Editor's Note: 2020-A Year Like No Other for . Radiology. 2021 Feb;298(2):243-244. doi: 10.1148/radiol.2020209028. Epub 2020 Dec 22. PMID: 33350896.
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Association of Quantified Costal Cartilage Calcification and Long-Term Cumulative Blood Glucose Exposure: The Multi-Ethnic Study of Atherosclerosis.

Frontiers in endocrinology

Shabani M, Pishgar F, Akhtarkhavari S, Quinaglia T, Budoff MJ, Bluemke DA, Barr GR, Post WS, Wu CO, Arbab-Zadeh A, Sidhaye A, Lima JAC, Demehri S.
PMID: 34966360
Front Endocrinol (Lausanne). 2021 Dec 13;12:785957. doi: 10.3389/fendo.2021.785957. eCollection 2021.

AIMS: Anecdotal reports have suggested increased soft tissue calcification in individuals with long-term exposures to high blood glucose. The association of costal cartilage calcification (CCC), a reliably quantifiable marker obtainable from non-contrast cardiac computed tomography (CT) with cumulative fasting...

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Shabani M, Pishgar F, Akhtarkhavari S, et al. Association of Quantified Costal Cartilage Calcification and Long-Term Cumulative Blood Glucose Exposure: The Multi-Ethnic Study of Atherosclerosis. Front Endocrinol (Lausanne). 2021;12:785957doi: 10.3389/fendo.2021.785957.
Shabani, M., Pishgar, F., Akhtarkhavari, S., Quinaglia, T., Budoff, M. J., Bluemke, D. A., Barr, G. R., Post, W. S., Wu, C. O., Arbab-Zadeh, A., Sidhaye, A., Lima, J. A. C., & Demehri, S. (2021). Association of Quantified Costal Cartilage Calcification and Long-Term Cumulative Blood Glucose Exposure: The Multi-Ethnic Study of Atherosclerosis. Frontiers in endocrinology, 12785957. https://doi.org/10.3389/fendo.2021.785957
Shabani, Mahsima, et al. "Association of Quantified Costal Cartilage Calcification and Long-Term Cumulative Blood Glucose Exposure: The Multi-Ethnic Study of Atherosclerosis." Frontiers in endocrinology vol. 12 (2021): 785957. doi: https://doi.org/10.3389/fendo.2021.785957
Shabani M, Pishgar F, Akhtarkhavari S, Quinaglia T, Budoff MJ, Bluemke DA, Barr GR, Post WS, Wu CO, Arbab-Zadeh A, Sidhaye A, Lima JAC, Demehri S. Association of Quantified Costal Cartilage Calcification and Long-Term Cumulative Blood Glucose Exposure: The Multi-Ethnic Study of Atherosclerosis. Front Endocrinol (Lausanne). 2021 Dec 13;12:785957. doi: 10.3389/fendo.2021.785957. eCollection 2021. PMID: 34966360; PMCID: PMC8711271.
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Author Correction: Death anxiety, exposure to death, mortuary preferences, and religiosity in five countries.

Scientific data

Jong J, Halberstadt J, Bluemke M, Kavanagh C, Jackson C.
PMID: 31913292
Sci Data. 2020 Jan 08;7(1):18. doi: 10.1038/s41597-020-0357-2.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Jong J, Halberstadt J, Bluemke M, et al. Author Correction: Death anxiety, exposure to death, mortuary preferences, and religiosity in five countries. Sci Data. 2020;7(1):18doi: 10.1038/s41597-020-0357-2.
Jong, J., Halberstadt, J., Bluemke, M., Kavanagh, C., & Jackson, C. (2020). Author Correction: Death anxiety, exposure to death, mortuary preferences, and religiosity in five countries. Scientific data, 7(1), 18. https://doi.org/10.1038/s41597-020-0357-2
Jong, Jonathan, et al. "Author Correction: Death anxiety, exposure to death, mortuary preferences, and religiosity in five countries." Scientific data vol. 7,1 (2020): 18. doi: https://doi.org/10.1038/s41597-020-0357-2
Jong J, Halberstadt J, Bluemke M, Kavanagh C, Jackson C. Author Correction: Death anxiety, exposure to death, mortuary preferences, and religiosity in five countries. Sci Data. 2020 Jan 08;7(1):18. doi: 10.1038/s41597-020-0357-2. PMID: 31913292; PMCID: PMC6949232.
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Prospective Clinical Trial Registration: A Prerequisite for Publishing Your Results.

Radiology

Trofimova AV, Bluemke DA.
PMID: 34609194
Radiology. 2022 Jan;302(1):1-2. doi: 10.1148/radiol.2021211967. Epub 2021 Oct 05.

No abstract available.

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Trofimova AV, Bluemke DA. Prospective Clinical Trial Registration: A Prerequisite for Publishing Your Results. Radiology. 2021;302(1):1-2doi: 10.1148/radiol.2021211967.
Trofimova, A. V., & Bluemke, D. A. (2022). Prospective Clinical Trial Registration: A Prerequisite for Publishing Your Results. Radiology, 302(1), 1-2. https://doi.org/10.1148/radiol.2021211967
Trofimova, Anna V, and Bluemke, David A. "Prospective Clinical Trial Registration: A Prerequisite for Publishing Your Results." Radiology vol. 302,1 (2022): 1-2. doi: https://doi.org/10.1148/radiol.2021211967
Trofimova AV, Bluemke DA. Prospective Clinical Trial Registration: A Prerequisite for Publishing Your Results. Radiology. 2022 Jan;302(1):1-2. doi: 10.1148/radiol.2021211967. Epub 2021 Oct 05. PMID: 34609194.
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Aortic pulse wave velocity in children with Cushing syndrome: A window into a marker of early cardiovascular disease.

Endocrinology, diabetes & metabolism

Blain H, Sinaii N, Zeltser D, Lyssikatos C, Belyavskaya E, Keil M, Bluemke DA, Stratakis C, Bandettini WP, Lodish M.
PMID: 31008362
Endocrinol Diabetes Metab. 2019 Jan 15;2(2):e00054. doi: 10.1002/edm2.54. eCollection 2019 Apr.

OBJECTIVE: To investigate early signs of cardiovascular arterial remodelling in paediatric patients with Cushing syndrome (CS) in comparison with normative values from healthy children.STUDY DESIGN: The metrics used to assess cardiac health were from thoracic aorta and carotid MRI....

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Blain H, Sinaii N, Zeltser D, et al. Aortic pulse wave velocity in children with Cushing syndrome: A window into a marker of early cardiovascular disease. Endocrinol Diabetes Metab. 2019;2(2):e00054doi: 10.1002/edm2.54.
Blain, H., Sinaii, N., Zeltser, D., Lyssikatos, C., Belyavskaya, E., Keil, M., Bluemke, D. A., Stratakis, C., Bandettini, W. P., & Lodish, M. (2019). Aortic pulse wave velocity in children with Cushing syndrome: A window into a marker of early cardiovascular disease. Endocrinology, diabetes & metabolism, 2(2), e00054. https://doi.org/10.1002/edm2.54
Blain, Hailey, et al. "Aortic pulse wave velocity in children with Cushing syndrome: A window into a marker of early cardiovascular disease." Endocrinology, diabetes & metabolism vol. 2,2 (2019): e00054. doi: https://doi.org/10.1002/edm2.54
Blain H, Sinaii N, Zeltser D, Lyssikatos C, Belyavskaya E, Keil M, Bluemke DA, Stratakis C, Bandettini WP, Lodish M. Aortic pulse wave velocity in children with Cushing syndrome: A window into a marker of early cardiovascular disease. Endocrinol Diabetes Metab. 2019 Jan 15;2(2):e00054. doi: 10.1002/edm2.54. eCollection 2019 Apr. PMID: 31008362; PMCID: PMC6458483.
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Peer-reviewed Publications in 2020: Still Needed?.

Radiology

Bluemke DA, Sosna J.
PMID: 32208100
Radiology. 2020 Jun;295(3):495. doi: 10.1148/radiol.2020204006. Epub 2020 Mar 24.

No abstract available.

Cite
Bluemke DA, Sosna J. Peer-reviewed Publications in 2020: Still Needed?. Radiology. 2020;295(3):495doi: 10.1148/radiol.2020204006.
Bluemke, D. A., & Sosna, J. (2020). Peer-reviewed Publications in 2020: Still Needed?. Radiology, 295(3), 495. https://doi.org/10.1148/radiol.2020204006
Bluemke, David A, and Sosna, Jacob. "Peer-reviewed Publications in 2020: Still Needed?." Radiology vol. 295,3 (2020): 495. doi: https://doi.org/10.1148/radiol.2020204006
Bluemke DA, Sosna J. Peer-reviewed Publications in 2020: Still Needed?. Radiology. 2020 Jun;295(3):495. doi: 10.1148/radiol.2020204006. Epub 2020 Mar 24. PMID: 32208100.
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Intermediate Markers Underlying Electrocardiographic Predictors of Incident Atrial Fibrillation: The MESA.

Circulation. Arrhythmia and electrophysiology

Xie E, Wu C, Ostovaneh M, Post WS, Kutty S, Soliman EZ, Bluemke DA, Heckbert SR, Lima J, Ambale-Venkatesh B.
PMID: 34844442
Circ Arrhythm Electrophysiol. 2021 Dec;14(12):e009805. doi: 10.1161/CIRCEP.121.009805. Epub 2021 Nov 30.

No abstract available.

Cite
Xie E, Wu C, Ostovaneh M, et al. Intermediate Markers Underlying Electrocardiographic Predictors of Incident Atrial Fibrillation: The MESA. Circ Arrhythm Electrophysiol. 2021;14(12):e009805doi: 10.1161/CIRCEP.121.009805.
Xie, E., Wu, C., Ostovaneh, M., Post, W. S., Kutty, S., Soliman, E. Z., Bluemke, D. A., Heckbert, S. R., Lima, J., & Ambale-Venkatesh, B. (2021). Intermediate Markers Underlying Electrocardiographic Predictors of Incident Atrial Fibrillation: The MESA. Circulation. Arrhythmia and electrophysiology, 14(12), e009805. https://doi.org/10.1161/CIRCEP.121.009805
Xie, Eric, et al. "Intermediate Markers Underlying Electrocardiographic Predictors of Incident Atrial Fibrillation: The MESA." Circulation. Arrhythmia and electrophysiology vol. 14,12 (2021): e009805. doi: https://doi.org/10.1161/CIRCEP.121.009805
Xie E, Wu C, Ostovaneh M, Post WS, Kutty S, Soliman EZ, Bluemke DA, Heckbert SR, Lima J, Ambale-Venkatesh B. Intermediate Markers Underlying Electrocardiographic Predictors of Incident Atrial Fibrillation: The MESA. Circ Arrhythm Electrophysiol. 2021 Dec;14(12):e009805. doi: 10.1161/CIRCEP.121.009805. Epub 2021 Nov 30. PMID: 34844442.
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Showing 1 to 12 of 72 entries