The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Reliability and precision of pseudo‐continuous arterial spin labeling perfusion MRI on 3.0 T and comparison with 15O‐water PET in elderly subjects at risk for Alzheimer's disease
Open accessAbstract
Arterial spin labeling (ASL) offers MRI measurement of cerebral blood flow (CBF) in vivo, and may offer clinical diagnostic utility in populations such as those with early Alzheimer's disease (AD). In the current study, we investigated the reliability and precision of a pseudo‐continuous ASL (pcASL) sequence that was performed two or three times within one hour on eight young normal control subjects, and 14 elderly subjects including 11 with normal cognition, one with AD and two with Mild Cognitive Impairment (MCI). Six of these elderly subjects including one AD, two MCIs and three controls also received 15 O‐water positron emission tomography (PET) scans 2 h before their pcASL MR scan. The instrumental reliability of pcASL was evaluated with the intraclass correlation coefficient (ICC). The ICCs were greater than 0.90 in pcASL global perfusion measurements for both the young and the elderly groups. The cross‐modality perfusion imaging comparison yielded very good global and regional agreement in global gray matter and the posterior cingulate cortex. Significant negative correlation was found between age and the gray/white matter perfusion ratio (r = –0.62, p < 0.002). The AD and MCI patients showed the lowest gray/white matter perfusion ratio among all the subjects. The data suggest that pcASL provides a reliable whole brain CBF measurement in young and elderly adults whose results converge with those obtained with the traditional 15 O‐water PET perfusion imaging method. pcASL perfusion MRI offers an alternative method for non‐invasive in vivo examination of early pathophysiological changes in AD. Copyright © 2009 John Wiley & Sons, Ltd.
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
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Measurement in Medicine: The Analysis of Method Comparison Studies
Altman, D. G., & Bland, J. M. (1983) · The Statistician · doi:10.2307/2987937 · Cited by 4,300
Cerebral Blood Flow and Oxygen Consumption in Man
Lassen, N. A. (1959) · Physiological Reviews · doi:10.1152/physrev.1959.39.2.183 · Cited by 2,070
Magnetic resonance imaging of perfusion using spin inversion of arterial water.
Williams, D. S., Detre, J. A., Leigh, J. S., & Koretsky, A. P. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.1.212 · Cited by 1,546
A general kinetic model for quantitative perfusion imaging with arterial spin labeling
Buxton, R. B., Frank, L. R., Wong, E. C., Siewert, B., Warach, S., & Edelman, R. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910400308 · Cited by 1,263
CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION: NORMAL VALUES AND EFFECT OF AGE
LEENDERS, K. L., PERANI, D., LAMMERTSMA, A. A., HEATHER, J. D., BUCKINGHAM, P., JONES, T., HEALY, M. J. R., GIBBS, J. M., WISE, R. J. S., HATAZAWA, J., et al. (1990) · Brain · doi:10.1093/brain/113.1.27 · Cited by 1,093
Dai, W., Garcia, D., de Bazelaire, C., & Alsop, D. C. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21790 · Cited by 985
Self-citationA Model for the Coupling between Cerebral Blood Flow and Oxygen Metabolism during Neural Stimulation
Buxton, R. B., & Frank, L. R. (1997) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199701000-00009 · Cited by 807
Alsop, D. C., & Detre, J. A. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199611000-00019 · Cited by 754
Self-citationWhat is the Correct Value for the Brain-Blood Partition Coefficient for Water?
Herscovitch, P., & Raichle, M. E. (1985) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1985.9 · Cited by 705
Cited by
Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation
Claassen, J. A. H. R., Thijssen, D. H. J., Panerai, R. B., & Faraci, F. M. (2021) · Physiological Reviews · doi:10.1152/physrev.00022.2020 · Cited by 915
Ventromedial Prefrontal Cortex Is Critical for the Regulation of Amygdala Activity in Humans
Motzkin, J. C., Philippi, C. L., Wolf, R. C., Baskaya, M. K., & Koenigs, M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.02.014 · Cited by 454
Central mechanisms of pain revealed through functional and structural MRI
Davis, K. D., & Moayedi, M. (2013) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-012-9386-8 · Cited by 376
Age-associated reductions in cerebral blood flow are independent from regional atrophy
Chen, J. J., Rosas, H. D., & Salat, D. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.032 · Cited by 360
A neuroradiologist’s guide to arterial spin labeling MRI in clinical practice
Grade, M., Hernandez Tamames, J. A., Pizzini, F. B., Achten, E., Golay, X., & Smits, M. (2015) · Neuroradiology · doi:10.1007/s00234-015-1571-z · Cited by 298
Metadata
- Authors
- Xu, G., Rowley, H. A., Wu, G., Alsop, D. C., Shankaranarayanan, A., Dowling, M., Christian, B. T., Oakes, T. R., & Johnson, S. C.
- Venue
- NMR in Biomedicine
- Publisher
- Wiley
- Published
- 2010-03-15
- Volume
- 23
- Issue
- 3
- Pages
- 286-293
- ISSN
- 0952-3480 (ISSN-L)
- 1099-1492
- OpenAlex
- W1964860432
- Cited by
- 280
- References
- 40
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Reliability and precision of pseudo‐continuous arterial spin labeling perfusion MRI on 3.0 T and comparison with 15O‐water PET in elderly subjects at risk for Alzheimer's disease. https://app.cochat.ai/papers/10.1002/nbm.1462
- The paper
- Xu, G., Rowley, H. A., Wu, G., Alsop, D. C., Shankaranarayanan, A., Dowling, M., Christian, B. T., Oakes, T. R., & Johnson, S. C. (2010). Reliability and precision of pseudo‐continuous arterial spin labeling perfusion MRI on 3.0 T and comparison with 15O‐water PET in elderly subjects at risk for Alzheimer's disease. NMR in Biomedicine. https://doi.org/10.1002/nbm.1462
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.