The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Diffusion-Weighted Imaging of the Brain in Preterm Infants With Focal and Diffuse White Matter Abnormality
Abstract
Objective. The most common finding on magnetic resonance imaging (MRI) of the brain in preterm infants at term-equivalent age is diffuse excessive high signal intensity (DEHSI) in the white matter. It is unclear whether DEHSI represents a biological abnormality. This study used diffusion-weighted imaging (DWI) to compare apparent diffusion coefficient (ADC) values in DEHSI with infants with normal imaging and those with overt brain damage to determine whether DEHSI shows the diffusion characteristics of normal or abnormal tissue. Methods. MRI, using conventional and diffusion-weighted imaging (DWI), was performed in 50 preterm infants at term-equivalent age using a 1.5 Tesla MR scanner. The infants were divided into 3 groups on the basis of their MRI results: 1) normal white matter, 2) DEHSI, or 3) overt white matter pathology. ADC values were measured in the frontal, central, and posterior white matter at the level of the centrum semiovale. ADC values in the 3 groups of preterm infants were compared using a 1-way analysis of variance with a Bonferroni test for multiple comparisons. Results. ADC values were significantly higher in infants with DEHSI and infants with overt white matter pathology than in infants with normal white matter. There was no significant difference between ADC values in infants with DEHSI and those with overt white matter pathology. Conclusions. This study provides objective evidence that DEHSI represents diffuse white matter abnormality.
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
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Back, S. A., Gan, X., Li, Y., Rosenberg, P. A., & Volpe, J. J. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-16-06241.1998 · Cited by 586
Cited by
White matter injury in the preterm infant: pathology and mechanisms
Back, S. A. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1718-6 · Cited by 473
The development of the subplate and thalamocortical connections in the human foetal brain
Kostović, I., & Judaš, M. (2010) · Acta Paediatrica · doi:10.1111/j.1651-2227.2010.01811.x · Cited by 462
Brain injury in premature neonates: A primary cerebral dysmaturation disorder?
Back, S. A., & Miller, S. P. (2014) · Annals of Neurology · doi:10.1002/ana.24132 · Cited by 360
Health Disparities Based on Socioeconomic Inequities: Implications for Urban Health Care
Fiscella, K., & Williams, D. R. (2004) · Academic Medicine · doi:10.1097/00001888-200412000-00004 · Cited by 359
Arrested oligodendrocyte lineage maturation in chronic perinatal white matter injury
Segovia, K. N., McClure, M., Moravec, M., Luo, N. L., Wan, Y., Gong, X., Riddle, A., Craig, A., Struve, J., Sherman, L. S., et al. (2008) · Annals of Neurology · doi:10.1002/ana.21359 · Cited by 340
Metadata
- Authors
- Counsell, S. J., Allsop, J. M., Harrison, M. C., Larkman, D. J., Kennea, N. L., Kapellou, O., Cowan, F. M., Hajnal, J. V., Edwards, A. D., & Rutherford, M. A.
- Venue
- Pediatrics
- Publisher
- American Academy of Pediatrics (AAP)
- Published
- 2003-07-01
- Volume
- 112
- Issue
- 1
- Pages
- 1-7
- ISSN
- 0031-4005 (ISSN-L)
- 1098-4275
- OpenAlex
- W2038983616
- Cited by
- 401
- References
- 4
- FWCI
- 20.86
- 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: Diffusion-Weighted Imaging of the Brain in Preterm Infants With Focal and Diffuse White Matter Abnormality. https://app.cochat.ai/papers/10.1542/peds.112.1.1
- The paper
- Counsell, S. J., Allsop, J. M., Harrison, M. C., Larkman, D. J., Kennea, N. L., Kapellou, O., Cowan, F. M., Hajnal, J. V., Edwards, A. D., & Rutherford, M. A. (2003). Diffusion-Weighted Imaging of the Brain in Preterm Infants With Focal and Diffuse White Matter Abnormality. Pediatrics. https://doi.org/10.1542/peds.112.1.1
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.