The DOI matches its Crossref record.
Coronary Magnetic Resonance Angiography for the Detection of Coronary Stenoses
Abstract
BACKGROUND: An accurate, noninvasive technique for the diagnosis of coronary disease would be an important advance. We investigated the accuracy of coronary magnetic resonance angiography among patients with suspected coronary disease in a prospective, multicenter study. METHODS: Coronary magnetic resonance angiography was performed during free breathing in 109 patients before elective x-ray coronary angiography, and the results of the two diagnostic procedures were compared. RESULTS: A total of 636 of 759 proximal and middle segments of coronary arteries (84 percent) were interpretable on magnetic resonance angiography. In these segments, 78 (83 percent) of 94 clinically significant lesions (those with a > or = 50 percent reduction in diameter on x-ray angiography) were also detected by magnetic resonance angiography. Overall, coronary magnetic resonance angiography had an accuracy of 72 percent (95 percent confidence interval, 63 to 81 percent) in diagnosing coronary artery disease. The sensitivity, specificity, and accuracy for patients with disease of the left main coronary artery or three-vessel disease were 100 percent (95 percent confidence interval, 97 to 100 percent), 85 percent (95 percent confidence interval, 78 to 92 percent), and 87 percent (95 percent confidence interval, 81 to 93 percent), respectively. The negative predictive values for any coronary artery disease and for left main artery or three-vessel disease were 81 percent (95 percent confidence interval, 73 to 89 percent) and 100 percent (95 percent confidence interval, 97 to 100 percent), respectively. CONCLUSIONS: Among patients referred for their first x-ray coronary angiogram, three-dimensional coronary magnetic resonance angiography allows for the accurate detection of coronary artery disease of the proximal and middle segments. This noninvasive approach reliably identifies (or rules out) left main coronary artery or three-vessel disease.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · BMC Medical Research Methodology · doi:10.1186/1471-2288-1-2 · Cited by 2,755
The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Moher, D., Rennie, D., de Vet, H. C. W., & Lijmer, J. G. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-1-200301070-00012-w1 · Cited by 1,124
Insights From the NHLBI-Sponsored Women’s Ischemia Syndrome Evaluation (WISE) Study
Bairey Merz, C. N., Shaw, L. J., Reis, S. E., Bittner, V., Kelsey, S. F., Olson, M., Johnson, B. D., Pepine, C. J., Mankad, S., Sharaf, B. L., et al. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2004.12.084 · Cited by 851
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.0b013e318277d6a0 · Cited by 845
Clinical indications for cardiovascular magnetic resonance (CMR): Consensus Panel report?
PENNELL, D. (2004) · European Heart Journal · doi:10.1016/j.ehj.2004.06.040 · Cited by 747
Metadata
- Authors
- Kim, W. Y., Danias, P. G., Stuber, M., Flamm, S. D., Plein, S., Nagel, E., Langerak, S. E., Weber, O. M., Pedersen, E. M., Schmidt, M., Botnar, R. M., & Manning, W. J.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2001-12-27
- Volume
- 345
- Issue
- 26
- Pages
- 1863-1869
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W1982676263
- Cited by
- 903
- References
- 0
- FWCI
- 52.17
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coronary Magnetic Resonance Angiography for the Detection of Coronary Stenoses. https://app.cochat.ai/papers/10.1056/nejmoa010866
- The paper
- Kim, W. Y., Danias, P. G., Stuber, M., Flamm, S. D., Plein, S., Nagel, E., Langerak, S. E., Weber, O. M., Pedersen, E. M., Schmidt, M., Botnar, R. M., & Manning, W. J. (2001). Coronary Magnetic Resonance Angiography for the Detection of Coronary Stenoses. New England Journal of Medicine. https://doi.org/10.1056/nejmoa010866
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.