The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Cerebral Blood Flow Is the Optimal CT Perfusion Parameter for Assessing Infarct Core
Abstract
Background and Purpose—: CT perfusion (CTP) is widely and rapidly accessible for imaging acute ischemic stroke but has limited validation. Cerebral blood volume (CBV) has been proposed as the best predictor of infarct core. We tested CBV against other common CTP parameters using contemporaneous diffusion MRI. Methods—: Patients with acute ischemic stroke <6 hours after onset had CTP and diffusion MRI <1 hour apart, before any reperfusion therapies. CTP maps of time to peak (TTP), absolute and relative CBV, cerebral blood flow (CBF), mean transit time (MTT), and time to peak of the deconvolved tissue residue function (Tmax) were generated. The diffusion lesion was manually outlined to its maximal visual extent. Receiver operating characteristic (ROC) analysis area under the curve (AUC) was used to quantify the correspondence of each perfusion parameter to the coregistered diffusion-weighted imaging lesion. Optimal thresholds were determined (Youden index). Results—: In analysis of 98 CTP slabs (54 patients, median onset to CT 190 minutes, median CT to MR 30 minutes), relative CBF performed best (AUC, 0.79; 95% CI, 0.77–81), significantly better than absolute CBV (AUC, 0.74; 95% CI, 0.73–0.76). The optimal threshold was <31% of mean contralateral CBF. Specificity was reduced by low CBF/CBV in noninfarcted white matter in cases with reduced contrast bolus intensity and leukoaraiosis. Conclusions—: In contrast to previous reports, CBF corresponded with the acute diffusion-weighted imaging lesion better than CBV, although no single threshold avoids detection of false-positive regions in unaffected white matter. This relates to low signal-to-noise ratio in CTP maps and emphasizes the need for optimized acquisition and postprocessing.
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
Patterns of cerebral blood flow reduction in patients with ischemic leukoaraiosis
O’Sullivan, M., Lythgoe, D. J., Pereira, A. C., Summers, P. E., Jarosz, J. M., Williams, S. C. R., & Markus, H. S. (2002) · Neurology · doi:10.1212/wnl.59.3.321 · Cited by 360
Markus, H. S. (2000) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.69.1.48 · Cited by 202
Cited by
Multiphase CT Angiography: A New Tool for the Imaging Triage of Patients with Acute Ischemic Stroke
Menon, B. K., d’Esterre, C. D., Qazi, E. M., Almekhlafi, M., Hahn, L., Demchuk, A. M., & Goyal, M. (2015) · Radiology · doi:10.1148/radiol.15142256 · Cited by 699
Metadata
- Authors
- Campbell, B. C. V., Christensen, S., Levi, C. R., Desmond, P. M., Donnan, G. A., Davis, S. M., & Parsons, M. W.
- Venue
- Stroke
- Published
- 2011-12
- Volume
- 42
- Issue
- 12
- Pages
- 3435-3440
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W1990870045
- Cited by
- 427
- References
- 2
- FWCI
- 14.48
- 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
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.