Predictive Value of Tests

Displaying 1 - 16 of 16CSV
Sato, T., Matsumura, M., Yamamoto, K., Sugizaki, Y., Shlofmitz, E., Moses, J. W., Khalique, O. K., Thomas, S. V., Malik, S., Dakroub, A., Singh, M., Shin, D., Cohen, D. J., Mintz, G. S., Shlofmitz, R. A., Jeremias, A., Ali, Z. A., & Maehara, A. (2025). A Revised Optical Coherence Tomography–Derived Calcium Score to Predict Stent Underexpansion in Severely Calcified Lesions. JACC: Cardiovascular Interventions, 18(5), 622–633. https://doi.org/10.1016/j.jcin.2024.12.001
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Shabbir, A., Ali, Z., Colletti, G., Dudek, D., Garbo, R., Hellig, F., Moses, J., Mozid, A., Nakamura, S., Patel, B., Toth, G. G., Wongpraparut, N., Gonzalo, N., & Escaned, J. (2025). Ultra-Low-Contrast PCI. JACC: Cardiovascular Interventions, 18(4), 409–424. https://doi.org/10.1016/j.jcin.2024.11.043
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Smith, I., Valdes, E., Smith, R., Cohen, R. B., Torres, J., Favate, A., & Melmed, K. R. (2025). Gait assessment in the initial evaluation of posterior circulation stroke. Journal of Stroke and Cerebrovascular Diseases, 34(1), 108138. https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.108138
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Lumish, H. S., Harano, N., Liang, L. W., Hasegawa, K., Maurer, M. S., Tower-Rader, A., Fifer, M. A., Reilly, M. P., & Shimada, Y. J. (2024). Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using plasma proteomics profiling. Europace, 26(11). https://doi.org/10.1093/europace/euae267
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Hahn, R. T., Makkar, R., Makar, M., Davidson, C., Puthamana, J., Zahr, F., Chadderdon, S., Fam, N., Ong, G., Yadav, P. K., Thourani, V. H., Vannan, M. A., Tchétché, D., Dumonteil, N., Bonfils, L., Lepage, L., Smith, R., Grayburn, P. A., Webb, J. G., … Kodali, S. (2024). EVOQUE Tricuspid Valve Replacement System. JACC: Cardiovascular Interventions, 17(18), 2093–2112. https://doi.org/10.1016/j.jcin.2024.07.034
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Russo, G., Pedicino, D., Pires Marafon, D., Adamo, M., Alessandrini, H., Andreas, M., Braun, D., Connelly, K. A., Denti, P., Estevez-Loureiro, R., Fam, N., Hahn, R. T., Harr, C., Hausleiter, J., Himbert, D., Kalbacher, D., Ho, E., Latib, A., Lentini, N., … Taramasso, M. (2024). TRIVALVE Score. JACC: Cardiovascular Interventions, 17(18), 2170–2179. https://doi.org/10.1016/j.jcin.2024.08.009
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Lang, F. M., Lee, B. C., Lotan, D., Sabuncu, M. R., & Topkara, V. K. (2024). Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery. Methodist DeBakey Cardiovascular Journal, 20(4), 76–87. https://doi.org/10.14797/mdcvj.1392
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Saluja, D., Huang, Z., Majumder, J., Zeldin, L., Yarmohammadi, H., Biviano, A., Wan, E. Y., Ciaccio, E. J., Hendon, C. P., & Garan, H. (2024). Automated prediction of isthmus areas in scar‐related atrial tachycardias using artificial intelligence. Journal of Cardiovascular Electrophysiology, 35(7), 1401–1411. Portico. https://doi.org/10.1111/jce.16299
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Bae, J. Y., Fallahi, A., Miller, W., Leon, M. B., Abraham, T. P., Bangalore, S., & Hsi, D. H. (2024). A call to consider an aortic stenosis screening program. Trends in Cardiovascular Medicine, 34(5), 297–301. https://doi.org/10.1016/j.tcm.2023.04.003
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Adrichem, R., Hokken, T. W., Bouwmeester, S., Abdelkarim, O., Vogel, B., Blusztein, D. I., Veulemans, V., Kuneman, J. H., Geleijnse, M. L., Verhemel, S., Van den Dorpel, M. M. P., Kardys, I., Tonino, P. A. L., Chang, S. M., Faza, N. N., Jou, S., Ueyama, H. A., Bartkowiak, J., Zeus, T., … Van Mieghem, N. M. (2024). Diagnostic Value of Aortic Valve Calcification Levels in the Assessment of Low-Gradient Aortic Stenosis. JACC: Cardiovascular Imaging, 17(8), 847–860. https://doi.org/10.1016/j.jcmg.2024.03.014
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DiLorenzo, M. P., Lee, S., Rathod, R. H., Raimondi, F., Farooqi, K. M., Jain, S. S., Samyn, M. M., Johnson, T. R., Olivieri, L. J., Fogel, M. A., Lai, W. W., Renella, P., Powell, A. J., Buddhe, S., Stafford, C., Johnson, J. N., Helbing, W. A., Pushparajah, K., Voges, I., … Grotenhuis, H. B. (2024). Design and implementation of multicenter pediatric and congenital studies with cardiovascular magnetic resonance: Big data in smaller bodies. Journal of Cardiovascular Magnetic Resonance, 26(1), 101041. https://doi.org/10.1016/j.jocmr.2024.101041
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Epstein, R., Yomogida, M., Donovan, D., Butensky, A., Aidala, A. A., Farooqi, K. M., Shah, A. M., Chelliah, A., & DiLorenzo, M. P. (2024). Trends in cardiac CT utilization for patients with pediatric and congenital heart disease: A multicenter survey study. Journal of Cardiovascular Computed Tomography, 18(3), 267–273. https://doi.org/10.1016/j.jcct.2024.02.002
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Bartkowiak, J., Vivekanantham, H., Kassar, M., Dernektsi, C., Agarwal, V., Lebehn, M., Windecker, S., Brugger, N., Hahn, R. T., & Praz, F. (2024). Computed tomography anatomic predictors of outcomes in patients undergoing tricuspid transcatheter edge-to-edge repair. Journal of Cardiovascular Computed Tomography, 18(3), 259–266. https://doi.org/10.1016/j.jcct.2024.02.001
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Akita, K., Hasegawa, K., Fifer, M. A., Tower-Rader, A., Jung, J., Maurer, M. S., Reilly, M. P., & Shimada, Y. J. (2024). Prediction of cardiac death in patients with hypertrophic cardiomyopathy using plasma adipokine levels. Nutrition, Metabolism and Cardiovascular Diseases, 34(6), 1352–1360. https://doi.org/10.1016/j.numecd.2024.01.017
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Marcoff, L., Koulogiannis, K., Aldaia, L., Mediratta, A., Chadderdon, S. M., Makar, M. M., Ruf, T. F., Gößler, T., Zaroff, J. G., Leung, G. K., Ku, I. A., Nabauer, M., Grayburn, P. A., Wang, Z., Hawthorne, K. M., Fowler, D. E., Dal-Bianco, J. P., Vannan, M. A., Bevilacqua, C., … Gillam, L. D. (2024). Echocardiographic Outcomes With Transcatheter Edge-to-Edge Repair for Degenerative Mitral Regurgitation in Prohibitive Surgical Risk Patients. JACC: Cardiovascular Imaging, 17(5), 471–485. https://doi.org/10.1016/j.jcmg.2023.09.015
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Ballout, A. A., Oh, S. Y., Libman, R. B., Choi, Y., Black, K., Sideras, P., Ayoub, M. S., Arora, R., Langer, D. J., Dehdashti, A. R., & Katz, J. M. (2023). Stroke mechanisms in adult moyamoya disease: The association between infarction patterns and quantitative magnetic resonance angiography flow state. Journal of Stroke and Cerebrovascular Diseases, 32(12), 107447. https://doi.org/10.1016/j.jstrokecerebrovasdis.2023.107447
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