The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Myocardial T1 and T2 mapping at 3 T: reference values, influencing factors and implications
Open accessAbstract
BACKGROUND: Myocardial T1 and T2 mapping using cardiovascular magnetic resonance (CMR) are promising to improve tissue characterization and early disease detection. This study aimed at analyzing the feasibility of T1 and T2 mapping at 3 T and providing reference values. METHODS: Sixty healthy volunteers (30 males/females, each 20 from 20-39 years, 40-59 years, 60-80 years) underwent left-ventricular T1 and T2 mapping in 3 short-axis slices at 3 T. For T2 mapping, 3 single-shot steady-state free precession (SSFP) images with different T2 preparation times were acquired. For T1 mapping, modified Look-Locker inversion recovery technique with 11 single shot SSFP images was used before and after injection of gadolinium contrast. T1 and T2 relaxation times were quantified for each slice and each myocardial segment. RESULTS: Mean T2 and T1 (pre-/post-contrast) times were: 44.1 ms/1157.1 ms/427.3 ms (base), 45.1 ms/1158.7 ms/411.2 ms (middle), 46.9 ms/1180.6 ms/399.7 ms (apex). T2 and pre-contrast T1 increased from base to apex, post-contrast T1 decreased. Relevant inter-subject variability was apparent (scatter factor 1.08/1.05/1.11 for T2/pre-contrast T1/post-contrast T1). T2 and post-contrast T1 were influenced by heart rate (p < 0.0001, p = 0.0020), pre-contrast T1 by age (p < 0.0001). Inter- and intra-observer agreement of T2 (r = 0.95; r = 0.95) and T1 (r = 0.91; r = 0.93) were high. T2 maps: 97.7% of all segments were diagnostic and 2.3% were excluded (susceptibility artifact). T1 maps (pre-/post-contrast): 91.6%/93.9% were diagnostic, 8.4%/6.1% were excluded (predominantly susceptibility artifact 7.7%/3.2%). CONCLUSIONS: Myocardial T2 and T1 reference values for the specific CMR setting are provided. The diagnostic impact of the high inter-subject variability of T2 and T1 relaxation times requires further investigation.
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
Cites
American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging:, Cerqueira, M. D., Weissman, N. J., Dilsizian, V., Jacobs, A. K., Kaul, S., Laskey, W. K., Pennell, D. J., Rumberger, J. A., Ryan, T., et al. (2002) · Circulation · doi:10.1161/hc0402.102975 · Cited by 6,990
Modified Look‐Locker inversion recovery (MOLLI) for high‐resolution T1 mapping of the heart
Messroghli, D. R., Radjenovic, A., Kozerke, S., Higgins, D. M., Sivananthan, M. U., & Ridgway, J. P. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20110 · Cited by 1,349
Flett, A. S., Hayward, M. P., Ashworth, M. T., Hansen, M. S., Taylor, A. M., Elliott, P. M., McGregor, C., & Moon, J. C. (2010) · Circulation · doi:10.1161/circulationaha.109.930636 · Cited by 915
Abdel-Aty, H., Boyé, P., Zagrosek, A., Wassmuth, R., Kumar, A., Messroghli, D., Bock, P., Dietz, R., Friedrich, M. G., & Schulz-Menger, J. (2005) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2004.11.069 · Cited by 770
Self-citationT2 quantification for improved detection of myocardial edema
Giri, S., Chung, Y.-C., Merchant, A., Mihai, G., Rajagopalan, S., Raman, S. V., & Simonetti, O. P. (2009) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-11-56 · Cited by 680
Noncontrast T1 Mapping for the Diagnosis of Cardiac Amyloidosis
Karamitsos, T. D., Piechnik, S. K., Banypersad, S. M., Fontana, M., Ntusi, N. B., Ferreira, V. M., Whelan, C. J., Myerson, S. G., Robson, M. D., Hawkins, P. N., et al. (2013) · JACC: Cardiovascular Imaging · doi:10.1016/j.jcmg.2012.11.013 · Cited by 676
Piechnik, S. K., Ferreira, V. M., Dall'Armellina, E., Cochlin, L. E., Greiser, A., Neubauer, S., & Robson, M. D. (2010) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-12-69 · Cited by 670
Self-citationWong, T. C., Piehler, K., Meier, C. G., Testa, S. M., Klock, A. M., Aneizi, A. A., Shakesprere, J., Kellman, P., Shroff, S. G., Schwartzman, D. S., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.089409 · Cited by 493
Miller, C. A., Naish, J. H., Bishop, P., Coutts, G., Clark, D., Zhao, S., Ray, S. G., Yonan, N., Williams, S. G., Flett, A. S., et al. (2013) · Circulation: Cardiovascular Imaging · doi:10.1161/circimaging.112.000192 · Cited by 384
Self-citationMessroghli, D. R., Greiser, A., Fröhlich, M., Dietz, R., & Schulz‐Menger, J. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21119 · Cited by 353
Self-citation
Cited by
Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging
Christodoulou, A. G., Shaw, J. L., Nguyen, C., Yang, Q., Xie, Y., Wang, N., & Li, D. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0217-y · Cited by 323
What are normal relaxation times of tissues at 3 T?
Bojorquez, J. Z., Bricq, S., Acquitter, C., Brunotte, F., Walker, P. M., & Lalande, A. (2017) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2016.08.021 · Cited by 286
Metadata
- Authors
- von Knobelsdorff-Brenkenhoff, F., Prothmann, M., Dieringer, M. A., Wassmuth, R., Greiser, A., Schwenke, C., Niendorf, T., & Schulz-Menger, J.
- Venue
- Journal of Cardiovascular Magnetic Resonance
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 15
- Issue
- 1
- Pages
- 53
- ISSN
- 1097-6647 (ISSN-L)
- OpenAlex
- W2168468324
- Cited by
- 265
- References
- 22
- FWCI
- 16.64
- Type
- journal article
- Language
- en
- Open access
- gold
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: Myocardial T1 and T2 mapping at 3 T: reference values, influencing factors and implications. https://app.cochat.ai/papers/10.1186/1532-429x-15-53
- The paper
- von Knobelsdorff-Brenkenhoff, F., Prothmann, M., Dieringer, M. A., Wassmuth, R., Greiser, A., Schwenke, C., Niendorf, T., & Schulz-Menger, J. (2013). Myocardial T1 and T2 mapping at 3 T: reference values, influencing factors and implications. Journal of Cardiovascular Magnetic Resonance. https://doi.org/10.1186/1532-429x-15-53
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.