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JACC. Cardiovascular Imaging|October 6, 2022
Association Between Changes in Perivascular Adipose Tissue Density and Plaque ProgressionSang-Eun Lee, Ji Min Sung, Daniele Andreini, et al.Circulation. Cardiovascular Imaging|September 19, 2019
Point of Care Clinical Risk Score to Improve the Negative Diagnostic Utility of an Agatston Score of Zero: Averting the Need for Coronary Computed Tomography AngiographyAli M Alshahrani, Hamza Mahmood, George A Wells, et al.British Journal of Cancer|November 19, 2022
Folate receptor alpha in ovarian cancer tissue and patient serum is associated with disease burden and treatment outcomesHeather J Bax, Jitesh Chauhan, Chara Stavraka, et al.Journal of Cardiovascular Computed Tomography|December 25, 2018
Longitudinal assessment of coronary plaque volume change related to glycemic status using serial coronary computed tomography angiography: A PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) substudyKi-Bum Won, Sang-Eun Lee, Byoung Kwon Lee, et al.Circulation|September 23, 2024
Interatrial Shunt Treatment for Heart Failure: The Randomized RELIEVE-HF TrialGregg W Stone, JoAnn Lindenfeld, Josep Rodés-Cabau, et al.JACC. Cardiovascular Imaging|August 22, 2021
Association of Tube Voltage With Plaque Composition on Coronary CT Angiography: Results From PARADIGM RegistryHidenobu Takagi, Jonathon A Leipsic, Praveen Indraratna, et al.Obstetrics and Gynecology|May 9, 2014
Predictive value of cervical length measurement and fibronectin testing in threatened preterm laborGert-Jan van Baaren, Jolande Y Vis, Femke F Wilms, et al.European Journal of Obstetrics, Gynecology, and Reproductive Biology|November 7, 2016
Comparison of the Actim Partus test and the fetal fibronectin test in the prediction of spontaneous preterm birth in symptomatic women undergoing cervical length measurementMerel M C Bruijn, Jolande Y Vis, Femke F Wilms, et al.JACC. Cardiovascular Imaging|June 9, 2022
Relationship Between Coronary Artery Calcium and Atherosclerosis Progression Among Patients With Suspected Coronary Artery DiseaseEmma J Hollenberg, Fay Lin, Michael J Blaha, et al.Journal of the American Heart Association|February 25, 2020
Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM RegistryDonghee Han, Kranthi K Kolli, Subhi J Al'Aref, et al.Pageof 184