Coronary Artery Disease - Reporting and Data System (CAD-RADS)
Open accessAbstract
The intent of CAD-RADS - Coronary Artery Disease Reporting and Data System is to create a standardized method to communicate findings of coronary CT angiography (coronary CTA) in order to facilitate decision-making regarding further patient management. The suggested CAD-RADS classification is applied on a per-patient basis and represents the highest-grade coronary artery lesion documented by coronary CTA. It ranges from CAD-RADS 0 (Zero) for the complete absence of stenosis and plaque to CAD-RADS 5 for the presence of at least one totally occluded coronary artery and should always be interpreted in conjunction with the impression found in the report. Specific recommendations are provided for further management of patients with stable or acute chest pain based on the CAD-RADS classification. The main goal of CAD-RADS is to standardize reporting of coronary CTA results and to facilitate communication of test results to referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will provide a framework of standardization that may benefit education, research, peer-review and quality assurance with the potential to ultimately result in improved quality of care.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
All coronary lesions were interpreted following the 2016 SCCT guidelines for their location, stenosis grade, composition (calcified, mixed, and non-calcified) as well as their vulnerability (positive remodeling, low-attenuation plaque, spotty calcification, and the napkin-ring sign).
“All coronary lesions were interpreted following the 2016 SCCT guidelines for their location, stenosis grade, composition (calcified, mixed, and non-calcified) as well as their vulnerability (positive remodeling, low-attenuation plaque, spotty calcification, and the napkin-ring sign).12,13”
From Lifelong endurance exercise and its relation with coronary atherosclerosis (2023) · cites this paper as [12]
The CAD-RADS stenosis grading table gives stenosis categories, and Figure 2 identifies lesion locations and calcified plaque. The modifier V passage lists all four vulnerability features in the claim, but specifies that at least two are needed to designate a plaque high-risk. The passages do not establish the claimed three-part composition classification, particularly the mixed-plaque category. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fihn, S. D., Gardin, J. M., Abrams, J., Berra, K., Blankenship, J. C., Dallas, A. P., Douglas, P. S., Foody, J. M., Gerber, T. C., Hinderliter, A. L., et al. (2012) · Circulation · doi:10.1161/cir.0b013e3182776f83 · Cited by 2,411 · see citing works
Self-citationFihn, S. D., Gardin, J. M., Abrams, J., Berra, K., Blankenship, J. C., Dallas, A. P., Douglas, P. S., Foody, J. M., Gerber, T. C., Hinderliter, A. L., et al. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.07.013 · Cited by 1,560 · see citing works
Self-citationOutcomes of Anatomical versus Functional Testing for Coronary Artery Disease
Douglas, P. S., Hoffmann, U., Patel, M. R., Mark, D. B., Al-Khalidi, H. R., Cavanaugh, B., Cole, J., Dolor, R. J., Fordyce, C. B., Huang, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1415516 · Cited by 1,543 · see citing works
Motoyama, S., Sarai, M., Harigaya, H., Anno, H., Inoue, K., Hara, T., Naruse, H., Ishii, J., Hishida, H., Wong, N. D., et al. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.02.068 · Cited by 1,428 · see citing works
Leipsic, J. A., Abbara, S., Achenbach, S. S., Cury, R. C., Earls, J. P., Mancini, G. J., Nieman, K., Pontone, G., & Raff, G. L. (2014) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2014.07.003 · Cited by 1,086 · see citing works
Self-citationCoronary CT Angiography versus Standard Evaluation in Acute Chest Pain
Hoffmann, U., Truong, Q. A., Schoenfeld, D., Chou, E. T., Woodard, P. K., Nagurney, J. T., Pope, J., Hauser, T. H., WHITE, C. S., Weiner, S. G., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1201161 · Cited by 902 · see citing works
Self-citationTaylor, A. J., Cerqueira, M. D., Hodgson, J. M., Mark, D. B., Min, J. K., O’Gara, P. T., & Rubin, G. D. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.07.005 · Cited by 893 · see citing works
Self-citationCT Angiography for Safe Discharge of Patients with Possible Acute Coronary Syndromes
Litt, H. I., Gatsonis, C. A., Snyder, B. S., Singh, H., Miller, C. D., Entrikin, D. W., Leaming, J. M., Gavin, L. J., Pacella, C. B., & Hollander, J. E. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1201163 · Cited by 712 · see citing works
Wolk, M. J., Bailey, S. R., Doherty, J. U., Douglas, P. S., Hendel, R. C., Kramer, C. M., Min, J. K., Patel, M. R., Rosenbaum, L. R., Shaw, L. J., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.009 · Cited by 652 · see citing works
Self-citationAchenbach, S. S., Delgado, V., Hausleiter, J., Schoenhagen, P., Min, J. K., & Leipsic, J. A. (2012) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2012.11.002 · Cited by 630 · see citing works
Self-citationGoldstein, J. A., Chinnaiyan, K. M., Abidov, A., Achenbach, S. S., Berman, D. S., Hayes, S. W., Hoffmann, U., Lesser, J. R., Mikati, I. A., O’Neil, B. J., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.03.068 · Cited by 583 · see citing works
Self-citationAbbara, S., Arbab‐Zadeh, A., Callister, T. Q., Desai, M. Y., Mamuya, W. S., Thomson, L., & Weigold, W. G. (2009) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2009.03.004 · Cited by 578 · see citing works
Self-citationPuchner, S. B., Liu, T., Mayrhofer, T., Truong, Q. A., Lee, H., Fleg, J. L., Nagurney, J. T., Udelson, J. E., Hoffmann, U., & Ferencik, M. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.05.039 · Cited by 565 · see citing works
SCCT guidelines on radiation dose and dose-optimization strategies in cardiovascular CT
Halliburton, S. S., Abbara, S., Chen, M. Y., Gentry, R. E., Mahesh, M., Raff, G. L., Shaw, L. J., & Hausleiter, J. (2011) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2011.06.001 · Cited by 492 · see citing works
Self-citationMitchell, D. G., Bruix, J., Sherman, M., & Sirlin, C. B. (2014) · Hepatology · doi:10.1002/hep.27304 · Cited by 483 · see citing works
Rosenkrantz, A. B., Kim, S., Lim, R., Hindman, N. M., Deng, F.-M., Babb, J. S., & Taneja, S. S. (2013) · Radiology · doi:10.1148/radiol.13122233 · Cited by 267 · see citing works
Raff, G. L., Chinnaiyan, K. M., Cury, R. C., Garcia, M. T., Hecht, H. S., Hollander, J. E., O'Neil, B., Taylor, A. J., & Hoffmann, U. (2014) · Journal of Cardiovascular Computed Tomography · doi:10.1016/j.jcct.2014.06.002 · Cited by 147 · see citing works
Self-citation2013 ACCF/ACR/ASE/ASNC/SCCT/SCMR Appropriate Utilization of Cardiovascular Imaging in Heart Failure
Patel, M. R., White, R. D., Abbara, S., Bluemke, D. A., Herfkens, R. J., Picard, M. H., Shaw, L. J., Silver, M. A., Stillman, A. E., & Udelson, J. E. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.02.005 · Cited by 146 · see citing works
Self-citationHamilton-Craig, C. R., Fifoot, A., Hansen, M. W., Pincus, M. W., Chan, J. H., Walters, D., & Branch, K. R. (2014) · International Journal of Cardiology · doi:10.1016/j.ijcard.2014.10.090 · Cited by 126 · see citing works
ACR CT Accreditation Program and the Lung Cancer Screening Program Designation
Kazerooni, E. A., Armstrong, M. R., Amorosa, J. K., Hernandez, D., Liebscher, L. A., Nath, H. P., McNitt‐Gray, M. F., Stern, E. J., & Wilcox, P. A. (2016) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2015.12.010 · Cited by 91 · see citing works
ACR CT Accreditation Program and the Lung Cancer Screening Program Designation
Kazerooni, E. A., Armstrong, M. R., Amorosa, J. K., Hernandez, D., Liebscher, L. A., Nath, H. P., McNitt‐Gray, M. F., Stern, E. J., & Wilcox, P. A. (2014) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2014.10.002 · Cited by 81 · see citing works
Poon, M., Cortegiano, M., Abramowicz, A. J., Hines, M., Singer, A. J., Henry, M. C., Viccellio, P., Hellinger, J. C., Ferraro, S., Poon, A., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.04.040 · Cited by 72 · see citing works
Cury, R. C., Feuchtner, G. M., Batlle, J. C., Peña, C., Janowitz, W. R., Katzen, B. T., & Ziffer, J. A. (2012) · American Journal of Roentgenology · doi:10.2214/ajr.12.8808 · Cited by 65 · see citing works
Self-citationPresident's page: Ten years of innovation in cardiac CT
Cury, R. C. (2014) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2014.07.006 · Cited by 16 · see citing works
Self-citation
Flagged first, then by citations
1 of the 26 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Cury RC, Feuchtner G, Battle J, Pena CS, Janowitz WR, Katzen BT, Ziffer JA. Triage of Patients Presenting with Chest Pain to the Emergency Department: Implementation of Cor- onary CTA in a Large Urban Hospital Healthcare System. Am J Roentgenol 2013 Jan;200(1): 57-65.
Cited by
Sorted by citations
Narula, J., Chandrashekhar, Y., Ahmadi, A. A., Abbara, S., Berman, D. S., Blankstein, R., Leipsic, J. A., Newby, D. E., Nicol, E. D., Nieman, K., et al. (2020) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2020.11.001 · Cited by 411 · see citing works
Self-citationLin, A., Manral, N., McElhinney, P. A., Killekar, A., Matsumoto, H., Kwiecinski, J., Pieszko, K., Razipour, A., Grodecki, K., Park, C., et al. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00022-x · Cited by 383 · see citing works
Self-citationCoronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies
Abdelrahman, K. M., Chen, M. Y., Dey, A. K., Virmani, R., Finn, A. V., Khamis, R., Choi, A., Min, J. K., Williams, M. C., Buckler, A. J., et al. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.06.076 · Cited by 300 · see citing works
Self-citationAssociation of High-Density Calcified 1K Plaque With Risk of Acute Coronary Syndrome
van Rosendael, A. R., Narula, J., Lin, F. Y.-H., van den Hoogen, I. J., Gianni, U., Alawamlh, O. A. H., Dunham, P. C., Peña, J. M., Lee, S., Andreini, D., et al. (2020) · JAMA Cardiology · doi:10.1001/jamacardio.2019.5315 · Cited by 176 · see citing works
Self-citationNerlekar, N., Ha, F. J., Cheshire, C., Rashid, H. N. Z., Cameron, J. D., Wong, D. T. L., SENEVIRATNE, S. K., & Brown, A. J. (2018) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.117.006973 · Cited by 148 · see citing works
Lifelong endurance exercise and its relation with coronary atherosclerosis
De Bosscher, R., Dausin, C., Claus, P., Bogaert, J., Dymarkowski, S., Goetschalckx, K., Ghekiere, O., Van De Heyning, C. M., Van Herck, P., Paelinck, B., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad152 · Cited by 140 · see citing works
“All coronary lesions were interpreted following the 2016 SCCT guidelines for their location, stenosis grade, composition (calcified, mixed, and non-calcified) as well as their vulnerability (positive remodeling, low-attenuation plaque, spotty calcification, and the napkin-ring sign).(12,13) A density of >130 HU define…”
MethodMedical Image Computing and Computer Assisted Intervention – MICCAI 2020
Martel, A. L., Abolmaesumi, P., Stoyanov, D. V., Mateus, D., Zuluaga, M. A., Zhou, S., Racoceanu, D., & Leo Joskowicz, B. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59725-2 · Cited by 129 · see citing works
Subclinical Coronary Atherosclerosis and Risk for Myocardial Infarction in a Danish Cohort
Fuchs, A., Kühl, J. T., Sigvardsen, P. E., Afzal, S., Knudsen, A. D., Møller, M. B., de Knegt, M. C., Sørgaard, M. H., Nordestgaard, B. G., Køber, L., et al. (2023) · Annals of Internal Medicine · doi:10.7326/m22-3027 · Cited by 119 · see citing works
van Rosendael, A. R., Shaw, L. J., Xie, J. X., Dimitriu‐Leen, A. C., Smit, J. M., Scholte, A. J. H. A., van Werkhoven, J. M., Callister, T. Q., DeLago, A. J., Berman, D. S., et al. (2019) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2018.10.024 · Cited by 115 · see citing works
Self-citationMeyersohn, N. M., Mayrhofer, T., Corey, K. E., Bittner, D. O., Staziaki, P. V., Szilveszter, B., Hallett, T. R., Lu, M. T., Puchner, S. B., Simon, T. G., et al. (2020) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2020.07.030 · Cited by 107 · see citing works
Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings
Sirajuddin, A., Mirmomen, S. M., Kligerman, S. J., Groves, D. W., BURKE, A. P., Kureshi, F., WHITE, C. S., & Arai, A. E. (2021) · Radiographics · doi:10.1148/rg.2021200125 · Cited by 91 · see citing works
Self-citationArtificial intelligence in cardiac radiology
van Assen, M., Muscogiuri, G., Caruso, D., Lee, S., Laghi, A., & Cecco, C. N. D. (2020) · La radiologia medica · doi:10.1007/s11547-020-01277-w · Cited by 87 · see citing works
Yang, S., Koo, B., Hoshino, M., Lee, J. M., Murai, T., Park, J., Zhang, J., Hwang, D., Shin, E., Doh, J., et al. (2020) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2020.08.025 · Cited by 85 · see citing works
Hedgire, S., Baliyan, V., Zucker, E. J., Bittner, D. O., Staziaki, P. V., Takx, R. A. P., Scholtz, J., Meyersohn, N. M., Hoffmann, U., & Ghoshhajra, B. B. (2018) · Radiology · doi:10.1148/radiol.2017171568 · Cited by 79 · see citing works
van Rosendael, A. R., Bax, A. M., Smit, J. M., van den Hoogen, I. J., Ma, X., Alaref, S. J., Achenbach, S. S., Al-Mallah, M. H., Andreini, D., Berman, D. S., et al. (2020) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jez322 · Cited by 79 · see citing works
Self-citationEvaluation of a deep learning model on coronary CT angiography for automatic stenosis detection
Paul, J., Rohnean, A., Giroussens, H., Pressat-Laffouilhère, T., & Wong, T. (2022) · Diagnostic and Interventional Imaging · doi:10.1016/j.diii.2022.01.004 · Cited by 70 · see citing works
Sex Differences in Modifiable Risk Factors and Severity of Coronary Artery Disease
Manfrini, O., Yoon, J., van der Schaar, M., Kedev, S. A., Vavlukis, M., Stankovic, G. R., Scarpone, M., Miličić, D., Vasiljević, Z., Badimón, L., et al. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.120.017235 · Cited by 63 · see citing works
Cademartiri, F., Meloni, A., Pistoia, L., Degiorgi, G., Clemente, A., Gori, C. D., Positano, V., Celi, S., Berti, S. L., Emdin, M., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12113627 · Cited by 62 · see citing works
Liu, C. Y., Tang, C. X., Zhang, X. L., Chen, S., Xie, Y., Zhang, X. Y., Qiao, H. Y., Zhou, C. S., Xu, P. P., Lu, M. J., et al. (2021) · European Journal of Radiology · doi:10.1016/j.ejrad.2021.109835 · Cited by 56 · see citing works
Liu, Y., Liu, S., Zhao, Z. J., Song, X., Qu, H., & Liu, H. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.08.029 · Cited by 54 · see citing works
Razek, A. A. K. A., Elrakhawy, M. M., Youssof, M. M. A., & Nageb, H. M. (2018) · Polish Journal of Radiology · doi:10.5114/pjr.2018.75641 · Cited by 51 · see citing works
Automatic coronary artery segmentation algorithm based on deep learning and digital image processing
Tian, F., Gao, Y., Fang, Z., & Gu, J. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02197-6 · Cited by 47 · see citing works
Quantitative Improvement in Brain Tumor MRI Through Structured Reporting (BT-RADS)
Zhang, J. Y., Weinberg, B. D., Hu, R., Saindane, A. M., Mullins, M. E., Allen, J. W., & Hoch, M. J. (2019) · Academic Radiology · doi:10.1016/j.acra.2019.07.028 · Cited by 40 · see citing works
McCollough, C. H., Rajiah, P. S., Bois, J. P., Winfree, T. N., Carter, R. E., Rajendran, K., Williamson, E. E., Thorne, J. E., & Leng, S. (2023) · Radiology · doi:10.1148/radiol.230853 · Cited by 38 · see citing works
Hedent, S. V., Hokamp, N. G., Kessner, R., Gilkeson, R., Ros, P. R., & Gupta, A. B. (2018) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0000000000000811 · Cited by 36 · see citing works
Comprehensive Review of Cardiovascular Disease Risk in Nonalcoholic Fatty Liver Disease
Josloff, K., Beiriger, J., Khan, A., Gawel, R. J., Kirby, R. S., Kendrick, A. D., Rao, A. K., Wang, R. X., Schafer, M., Pearce, M. E., et al. (2022) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd9120419 · Cited by 34 · see citing works
Guo, B., Xing, W., Hu, C., Zha, Y., Yin, X., He, Y., Hu, S., Shi, Y., Lv, F., Wang, R., et al. (2024) · Radiology · doi:10.1148/radiol.233354 · Cited by 33 · see citing works
Yu, M., Li, W., Lu, Z., Wei, M., Yan, J., & Zhang, J. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.03.021 · Cited by 33 · see citing works
Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine
Chahal, C. A. A., Alahdab, F., Asatryan, B., Addison, D., Aung, N., Chung, M. K., Denaxas, S., Dunn, J., Hall, J. L., Pamir, N., et al. (2025) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.124.004624 · Cited by 35 · see citing works
Liu, Y., Xu, P. P., Schoepf, U. J., Tesche, C., Pillai, B., Savage, R. H., Tang, C. X., Zhou, F., Wei, H. D., Luo, Z. Q., et al. (2021) · European Radiology · doi:10.1007/s00330-021-07726-y · Cited by 33 · see citing works
Self-citationMonti, C. B., Codari, M., van Assen, M., Cecco, C. N. D., & Vliegenthart, R. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000490 · Cited by 32 · see citing works
Bosscher, R. D., Dausin, C., Claus, P., Bogaert, J., Dymarkowski, S., Goetschalckx, K., Ghekiere, O., Belmans, A., Heyning, C. M. V. D., Herck, P. V., et al. (2021) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2021-001048 · Cited by 30 · see citing works
Kotronias, R. A., Maria, G. L. D., Xie, C., Thomas, S., Chan, K., Portolan, L., Langrish, J. P., Walsh, J., Cahill, T. J., Lucking, A. J., et al. (2025) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2024.11.005 · Cited by 29 · see citing works
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
Denzinger, F., Wels, M., Ravikumar, N., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M., Schmermund, A., & Maier, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32251-9_65 · Cited by 28 · see citing works
Lu, G., Ye, W., Ou, J., Li, X., Tan, Z., Li, T., & Liu, H. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.743538 · Cited by 28 · see citing works
Nam, K., Hur, J., Han, K., Im, D. J., Suh, Y. J., Hong, Y. J., Lee, H., Kim, Y. J., & Choi, B. W. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.05.022 · Cited by 27 · see citing works
Yang, J., Dou, G., Tesche, C., Cecco, C. N. D., Jacobs, B. E., Schoepf, U. J., & Chen, Y. (2019) · BMC Cardiovascular Disorders · doi:10.1186/s12872-019-1016-4 · Cited by 27 · see citing works
Self-citationGiorgi, N. D., Michelucci, E., Smit, J. M., Scholte, A. J. H. A., Mahdiui, M. E., Knuuti, J. M., Buechel, R. R., Teresińska, A., Pizzi, M. N., Roque, A., et al. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.11.013 · Cited by 26 · see citing works
Finck, T., Stojanovic, A., Will, A., Hendrich, E., Martinoff, S. A., Hausleiter, J., & Hadamitzky, M. (2019) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jez238 · Cited by 26 · see citing works
Pugliese, L., Spiritigliozzi, L., Tosto, F. D., Ricci, F., Cavallo, A. U., Donna, C. D., Stasio, V. D., Presicce, M., Benelli, L., D’Errico, F. P., et al. (2020) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2020.06.021 · Cited by 25 · see citing works
Holmes, K. R., Fonte, T. A., Weir-McCall, J. R., Anastasius, M. O., Blanke, P., Payne, G. W., Ellis, J., Murphy, D. T., Taylor, C. A., Leipsic, J. A., et al. (2019) · European Radiology · doi:10.1007/s00330-019-06293-7 · Cited by 25 · see citing works
Self-citationZhang, Y., Feng, Y., Sun, J., Zhang, L., Ding, Z., Wang, L., Zhao, K., Pan, Z., Li, Q., Guo, N., et al. (2024) · European Radiology · doi:10.1007/s00330-023-10494-6 · Cited by 24 · see citing works
Hsiao, C., Teng, P.-H., Wu, Y.-J., Shen, Y., Mar, G.-Y., & Wu, F. (2021) · BMC Cardiovascular Disorders · doi:10.1186/s12872-021-02060-z · Cited by 23 · see citing works
Coronary Artery Disease-Reporting and Data System (CAD-RADS): strengths and limitations
Ramanathan, S., Heidous, M. A., & Alkuwari, M. (2019) · Clinical Radiology · doi:10.1016/j.crad.2019.01.003 · Cited by 22 · see citing works
Rodrigues, T. S., Koshy, A. N., Gow, P. J., Weinberg, L., Cailes, B., Testro, A., Smith, G., Lim, H. S., Teh, A. W., Lim, R., et al. (2023) · Liver Transplantation · doi:10.1097/lvt.0000000000000215 · Cited by 22 · see citing works
The Incremental Role of Coronary Computed Tomography in Chronic Coronary Syndromes
Baessato, F., Guglielmo, M., Muscogiuri, G., Baggiano, A., Fusini, L., Scafuri, S., Babbaro, M., Mollace, R., Collevecchio, A., Guaricci, A. I., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9123925 · Cited by 22 · see citing works
Coronary artery disease in adults with anomalous aortic origin of a coronary artery
Jiang, M., Brinza, E. K., Ghobrial, J. M., Tucker, D. L., Gupta, S., Rajeswaran, J., Karamlou, T., Blackstone, E. H., Saarel, E. V., Gupta, S., et al. (2022) · JTCVS Open · doi:10.1016/j.xjon.2022.04.022 · Cited by 21 · see citing works
Penso, M., Moccia, S., Caiani, E. G., Caredda, G., Lampus, M., Carerj, M. L., Babbaro, M., Pepi, M., Chiesa, M., & Pontone, G. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106484 · Cited by 21 · see citing works
CAD-RADS: A Giant First Step Toward a Common Lexicon?
Chandrashekhar, Y., Min, J. K., Hecht, H. S., & Narula, J. (2016) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2016.07.002 · Cited by 21 · see citing works
Sorokin, A. V., Patel, N. H., Abdelrahman, K. M., Ling, C., Reimund, M., Graziano, G., Sampson, M. L., Playford, M. P., Dey, A. K., Reddy, A. S., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.159577 · Cited by 20 · see citing works
Imaging of Cardiovascular Disease in Pregnancy and the Peripartum Period
Pierce, T. T., Hovnanian, M., Hedgire, S., & Ghoshhajra, B. B. (2017) · Current Treatment Options in Cardiovascular Medicine · doi:10.1007/s11936-017-0593-8 · Cited by 20 · see citing works
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
Denzinger, F., Wels, M., Ravikumar, N., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M., Schmermund, A., & Maier, A. (2019) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 20 · see citing works
A prospective natural history study of coronary atherosclerosis following liver transplantation
Koshy, A. N., Nerlekar, N., Gow, P. J., Lim, R., Smith, G., Galea, M., Rodrigues, T. S., Lim, H. S., Teh, A. W., & Farouque, O. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.01.020 · Cited by 18 · see citing works
de Knegt, M. C., Rossi, A., Petersen, S. E., Wragg, A., Khurram, R., Westwood, M. A., Saberwal, B., Mathur, A., Nieman, K., Bamberg, F., et al. (2020) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jeaa270 · Cited by 18 · see citing works
Michelucci, E., Giorgi, N. D., Finamore, F., Smit, J. M., Scholte, A. J. H. A., Signore, G., & Rocchiccioli, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-92339-0 · Cited by 18 · see citing works
Kay, F. U., Canan, A., & Abbara, S. (2019) · Korean Circulation Journal · doi:10.4070/kcj.2019.0315 · Cited by 17 · see citing works
Self-citationHull, R. A. D., Berger, J., Boster, J. M., Williams, M. U., Sharp, A. J., Fentanes, E., Maroules, C. D., Cury, R. C., & Thomas, D. M. (2020) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2020.01.005 · Cited by 17 · see citing works
Self-citationHigh Expression Levels of the SOCS3 Gene Are Associated with Acute Myocardial Infarction
Meng, H., Wang, X., Ruan, J., Chen, W., Meng, F., & Yang, P. (2020) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2020.0040 · Cited by 17 · see citing works
Automatic CAD-RADS Scoring Using Deep Learning
Denzinger, F., Wels, M., Breininger, K., Gulsun, M. A., Schöbinger, M., André, F., Buss, S. J., Görich, J., Sühling, M., & Maier, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59725-2_5 · Cited by 17 · see citing works
Pergola, V., Cabrelle, G., Mattesi, G., Cattarin, S., Furlan, A., Dellino, C. M., Continisio, S., Montonati, C., Giorgino, A., Giraudo, C., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12061446 · Cited by 17 · see citing works
Yu, M., Lu, Z., Li, W., Wei, M., Yan, J., & Zhang, J. (2018) · European Radiology · doi:10.1007/s00330-018-5320-7 · Cited by 16 · see citing works
Alahdab, F., Shawi, R. E., Ahmed, A. I., Han, Y., & Al-Mallah, M. H. (2023) · PLoS ONE · doi:10.1371/journal.pone.0291451 · Cited by 16 · see citing works
Kim, C., Park, C. H., Lee, B. Y., Park, C. H., Kang, E., Koo, H. J., Kitagawa, K., Cha, M. J., Krittayaphong, R., Choi, S. I., et al. (2024) · Korean Journal of Radiology · doi:10.3348/kjr.2024.0112 · Cited by 16 · see citing works
Sorokin, A. V., Patel, N. H., Li, H., Hong, C. G., Sampson, M. L., O’Hagan, R., Florida, E. M., Teague, H., Playford, M. P., Chen, M. Y., et al. (2023) · Lipids in Health and Disease · doi:10.1186/s12944-023-01819-x · Cited by 14 · see citing works
Stress testing and noninvasive coronary imaging: What’s the best test for my patient?
Matta, M., Harb, S. C., Cremer, P. C., Hachamovitch, R., & Ayoub, C. (2021) · Cleveland Clinic Journal of Medicine · doi:10.3949/ccjm.88a.20068 · Cited by 14 · see citing works
Baumann, S., Kaeder, F., Schoepf, U. J., Golden, J. W., Kryeziu, P., Tesche, C., Renker, M., Jannsen, S., Weiß, C., Hetjens, S., et al. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000509 · Cited by 14 · see citing works
Self-citationAssociation of circulating BMP9 with coronary heart disease and hypertension in Chinese populations
Liu, R., Hu, W., Li, X., Pu, D., Yang, G., Liu, H., Tan, M., & Zhu, D. (2019) · BMC Cardiovascular Disorders · doi:10.1186/s12872-019-1095-2 · Cited by 14 · see citing works
Prognostic durability of coronary computed tomography angiography
Chow, B. J. W., Yam, Y., Small, G. R., Wells, G. A., Crean, A. M., Ruddy, T. D., & Hossain, A. (2020) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jeaa196 · Cited by 14 · see citing works
Coronary Computed Tomography Angiography: Beyond Obstructive Coronary Artery Disease
Tonet, E., Boccadoro, A., Micillo, M., Cocco, M., Cossu, A., Pompei, G., Giganti, M., & Campo, G. C. (2023) · Life · doi:10.3390/life13051086 · Cited by 14 · see citing works
Liu, Z., Ding, Y., Dou, G., Wang, X., Shan, D., He, B., Jing, J., Li, T., Chen, Y., & Yang, J. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01901-9 · Cited by 13 · see citing works
Coronary artery disease grading by cardiac CT for predicting outcome in patients with stable angina
Oeing, C. U., Matheson, M. B., Ostovaneh, M. R., Rochitte, C. E., Chen, M. Y., Pieske, B. M., Kofoed, K. F., Schuijf, J. D., Niinuma, H., Dewey, M., et al. (2023) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2023.07.004 · Cited by 13 · see citing works
Sorokin, A. V., Hong, C. G., Aponte, A. M., Florida, E. M., Tang, J., Patel, N. H., Baranova, I. N., Li, H., Parel, P. M., Chen, V., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.172893 · Cited by 13 · see citing works
Hussain, S., Naseem, U., Ali, M., Avendaño, D., Cardona‐Huerta, S., Bosques-Palomo, B. A., & Tamez‐Peña, J. G. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02717-7 · Cited by 16 · see citing works
Whys and Wherefores of Coronary Arterial Positive Remodeling
Onnis, C., Virmani, R., Madra, A., Nardi, V., Salgado, R. A., Montisci, R., Cau, R., Boi, A., Lerman, A., Cecco, C. N. D., et al. (2024) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.124.321504 · Cited by 13 · see citing works
Shepard, L. M., Sommer, K. N., Angel, E., Iyer, V., Wilson, M. F., Rybicki, F. J., Mitsouras, D., Molloi, S. Y., & Ionita, C. N. (2019) · Journal of medical imaging · doi:10.1117/1.jmi.6.2.021603 · Cited by 13 · see citing works
Self-citationDeep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M., Schmermund, A., & Maier, A. (2020) · Informatik aktuell · doi:10.1007/978-3-658-29267-6_42 · Cited by 13 · see citing works
Gilani, S. T. A., Khan, D. A., Rauf, A., Haroon, Z. H., Khan, K. A., & Hassan, F. (2022) · Journal of Interferon & Cytokine Research · doi:10.1089/jir.2022.0110 · Cited by 12 · see citing works
Yu, Y., Ding, X., Yu, L., Lan, Z., Wang, Y., & Zhang, J. (2022) · European Radiology · doi:10.1007/s00330-022-09176-6 · Cited by 12 · see citing works
Chiou, A., Hermel, M., Sidhu, R., Hu, E., van Rosendael, A., Bagsic, S. R. S., Udoh, E., Kosturakis, R., Aziz, M., Ruiz, C. R., et al. (2024) · European Heart Journal - Imaging Methods and Practice · doi:10.1093/ehjimp/qyae035 · Cited by 12 · see citing works
Erdöl, M. A., & Yayla, K. G. (2021) · TURKISH JOURNAL OF MEDICAL SCIENCES · doi:10.3906/sag-2103-104 · Cited by 12 · see citing works
Guerreiro, S. L., Ferreira, A. J. M., Abecasis, J., Saraiva, C., Dores, H., Cardoso, G., Santos, A. C., Castro, M., & Mendes, M. (2019) · Revista Portuguesa de Cardiologia · doi:10.1016/j.repc.2018.05.014 · Cited by 12 · see citing works
Zuo, L., Tian, Z., Zhou, B., Hou, M., Chen, Y., Han, P., Ma, C., Wu, X. G., & Yu, D. (2023) · European Radiology · doi:10.1007/s00330-023-10468-8 · Cited by 11 · see citing works
From Cells to Plaques: The Molecular Pathways of Coronary Artery Calcification and Disease
Mitsis, A., Khattab, E., Christodoulou, E., Myrianthopoulos, K., Myrianthefs, M. M., Tzikas, S., Ziakas, A., Fragakis, N., & Kassimis, G. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13216352 · Cited by 11 · see citing works
Zghebi, S. S., Mamas, M. A., Ashcroft, D. M., Rutter, M. K., van Marwijk, H., Salisbury, C., Mallen, C. D., Chew-Graham, C. A., Qureshi, N., Weng, S. F., et al. (2021) · Open Heart · doi:10.1136/openhrt-2020-001498 · Cited by 11 · see citing works
Шрамко, В. С., Striukova, E. V., Polonskaya, Y. V., Stakhneva, E. M., Volkova, M. V., Кургузов, А. В., Kashtanova, E. V., & Ragino, Y. I. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11121281 · Cited by 11 · see citing works
Denzinger, F., Wels, M., Breininger, K., Taubmann, O., Mühlberg, A., Allmendinger, T., Gulsun, M. A., Schöbinger, M., André, F., Buss, S. J., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-29347-9 · Cited by 11 · see citing works
Lin, C., McCarthy, C. P., Mohebi, R., Liu, Y., Blankstein, R., Murphy, S. P., Miksenas, H., Rogers, C., Amponsah, D., Rambarat, P. K., et al. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100795 · Cited by 10 · see citing works
Rodrigues, T. S., Narendren, A., Cailes, B., Lim, R., Weinberg, L., Testro, A., Majumdar, A., Sinclair, M. J., Farouque, O., & Koshy, A. N. (2024) · International Journal of Cardiology · doi:10.1016/j.ijcard.2024.131895 · Cited by 10 · see citing works
Yang, W., Ding, X., Yu, Y., Lan, Z., Yu, L., Yuan, J., Xu, Z., Sun, J., Wang, Y., & Zhang, J. (2024) · Clinical Radiology · doi:10.1016/j.crad.2024.08.018 · Cited by 10 · see citing works
Liu, Z., Ding, Y., Dou, G., Wang, X., Shan, D., He, B., Jing, J., Chen, Y., & Yang, J. (2022) · Korean Journal of Radiology · doi:10.3348/kjr.2022.0115 · Cited by 10 · see citing works
Are Training Programs Ready for the Rapid Adoption of CCTA?
Chow, B. J. W., Yam, Y., Alenazy, A., Crean, A. M., Clarkin, O. J., Hossain, A., & Small, G. R. (2021) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2021.01.040 · Cited by 10 · see citing works
Meng, H., Ruan, J., Tian, X., Li, L., Chen, W., & Meng, F. (2021) · Journal of International Medical Research · doi:10.1177/03000605211019663 · Cited by 10 · see citing works
Playford, D. A., Hamilton-Craig, C. R., Dwivedi, G., & Figtree, G. A. (2021) · Heart Lung and Circulation · doi:10.1016/j.hlc.2021.04.026 · Cited by 9 · see citing works
Ahmed, A. I., Han, Y., Rifai, M. A., Alnabelsi, T. S., Nabi, F., Chang, S. M., Chamsi‐Pasha, M. A., Nasir, K., Mahmarian, J. J., Cainzos‐Achirica, M., et al. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.08.032 · Cited by 9 · see citing works
Xu, J., Chen, L., Wu, X., Li, C., Ai, G., Liu, Y., Tian, B., Guo, D., & Zheng, F. (2021) · European Radiology · doi:10.1007/s00330-021-08299-6 · Cited by 9 · see citing works
Fattouh, M., Kuno, T., Piña, P., Skendelas, J. P., Lorenzatti, D., Arce, J., Daich, J., Duarte, G., Hazim, C. F., Guerra, M. A. R., et al. (2023) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.123.015236 · Cited by 9 · see citing works
Self-citationWhat is the clinical role of non-invasive atherosclerosis imaging?
Lin, F. Y.-H., Villines, T. C., Narula, J., & Shaw, L. J. (2019) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2019.05.010 · Cited by 9 · see citing works
Self-citationCT coronary angiography-guided cardiovascular risk screening in asymptomatic patients: is it time?
Graby, J., Khavandi, A., Thompson, D., DOWNIE, P. F., Antoniades, C. A., & Rodrigues, J. C. L. (2021) · Clinical Radiology · doi:10.1016/j.crad.2021.07.010 · Cited by 9 · see citing works
Burton, T., Fathieh, F., Nemati, N., Gillins, H. R., Shadforth, I., Ramchandani, S., & Bridges, C. R. (2024) · Diagnostics · doi:10.3390/diagnostics14070719 · Cited by 9 · see citing works
Guo, R., Deng, J., Rong, P., Zhou, W., Zhang, G., Peng, S., Liang, Q., Yang, X. D., & Hu, P. (2023) · European Radiology · doi:10.1007/s00330-023-09528-w · Cited by 8 · see citing works
- Authors
- Cury, R. C., Abbara, S., Achenbach, S., Agatston, A., Berman, D. S., Budoff, M. J., Dill, K. E., Jacobs, J. E., Maroules, C. D., Rubin, G. D., Rybicki, F. J., Schoepf, U. J., Shaw, L. J., Stillman, A. E., White, C. S., Woodard, P. K., & Leipsic, J. A.
- Affiliations
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Corresponding author
- Cury, Ricardo C.
- ORCID
- Venue
- JACC: Cardiovascular Imaging
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 9
- Issue
- 9
- Pages
- 1099-1113
- ISSN
- 1876-7591 (ISSN-L)
- 1936-878X
- OpenAlex
- W2518912440
- Cited by
- 231
- References
- 26
- Citations by year
- 2026: 13 · 2025: 15 · 2024: 24 · 2023: 37 · 2022: 33 · 2021: 37 · 2020: 25 · 2019: 28 · 2018: 11 · 2017: 6 · 2016: 1
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- JACC. Cardiovascular imaging (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Scholarly Commons - Baptist Health South Florida (Baptist Health South Florida) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Surgery › Coronary Interventions and Diagnostics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Coronary Artery Anomalies
- Keywords
- CAD-RADS, coronary artery disease, coronary CT angiography, standardized reporting, coronary artery stenosis, coronary plaque, acute chest pain, stable chest pain, quality assurance, peer review
- MeSH terms
- Clinical Decision-Making, Computed Tomography Angiography, Cardiology, Coronary Artery Disease, Coronary Vessels, Data Collection, Documentation, Forms and Records Control, Humans, Terminology as Topic, Predictive Value of Tests, Prognosis, Severity of Illness Index, Information Storage and Retrieval, Coronary Angiography, Consensus, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
