ArticleAJNR. American journal of neuroradiology2012
Differences in CT perfusion summary maps for patients with acute ischemic stroke generated by 2 software packages.
Article in AJNR. American journal of neuroradiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- The value of early CT perfusion parameters for predicting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.Neurosurgical review · 2022Pooled it
- Comparative accuracy of CT perfusion in diagnosing acute ischemic stroke: A systematic review of 27 trials.PloS one · 2017Pooled it
- Two-way comparison of brain perfusion image processing software for patients with acute ischemic strokes in real-world.Neuroradiology · 2022Trial
- Trial
- Patient selection for mechanical thrombectomy.Clinical neuroradiology · 2014Trial
- Generative Artificial Intelligence to Automate Cerebral Perfusion Mapping in Acute Ischemic Stroke from Non-contrast Head Computed Tomography Images: Pilot Study.Journal of imaging informatics in medicine · 2026Article
- Time series-derived fractal dimension of CT perfusion in acute ischemic stroke: a promising marker for hypoperfused tissue quantification.International journal of computer assisted radiology and surgery · 2026Article
- Comparison of CT-perfusion software packages and validation with true infarct core in patients with acute ischemic stroke.BMC medical imaging · 2025Article
- CT perfusion identified potential treatment opportunities in one in five mild strokes.Neurological research and practice · 2025Article
- Automated collateral assessment restricted to the hypoperfused area for distal vessel occlusions in ischemic stroke.European radiology · 2025Article
- Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data.NPJ digital medicine · 2025Article
- Comparison of Three Algorithms for Predicting Infarct Volume in Patients with Acute Ischemic Stroke by CT Perfusion Software: Bayesian, CSVD, and OSVD.Diagnostics (Basel, Switzerland) · 2023Article
- Role of artificial intelligence and machine learning in the diagnosis of cerebrovascular disease.Frontiers in human neuroscience · 2023Review
- Value of CT Perfusion for Collateral Status Assessment in Patients with Acute Ischemic Stroke.Diagnostics (Basel, Switzerland) · 2022Article
- CT Brain Perfusion in the Prediction of Final Infarct Volume: A Prospective Study of Different Software Settings for Acute Ischemic Core Calculation.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Comparison of a Bayesian estimation algorithm and singular value decomposition algorithms for 80-detector row CT perfusion in patients with acute ischemic stroke.La Radiologia medica · 2021Article
- The effect of software post-processing applications on identification of the penumbra and core within the ischaemic region in perfusion computed tomography.Polish journal of radiology · 2019Article
- Early computed tomography-based scores to predict decompressive hemicraniectomy after endovascular therapy in acute ischemic stroke.PloS one · 2017Article
- Added value of CT perfusion compared to CT angiography in predicting clinical outcomes of stroke patients treated with mechanical thrombectomy.European radiology · 2016Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeAlthough CT perfusion is a promising tool to support treatment decisions for patients with acute ischemic stroke, it still lacks a standardized method for CTP analysis. The purpose of this study was to assess the variability of the area of infarct core and penumbra as presented in summary maps produced by 2 different software packages. MATERIALS AND
methodsForty-one CTP image datasets of 26 consecutive patients who presented with acute ischemic stroke were retrospectively evaluated. Identical image datasets were analyzed by using 2 different commercially available CTP analysis software packages, each representing a mainstream of widely used algorithms: delay-sensitive and delay-insensitive. Bland-Altman analyses were performed to evaluate the level of agreement between the 2 methods in determining the area of infarct core and penumbra area in the summary maps.
resultsThere was a statistically significant difference in infarct core area (-23.6 ± 25.6 cm(2)) and penumbra area (15.8 ± 25.3 cm(2)) between the 2 software packages. For all the areas presented in the summary maps, the Bland-Altman interval limit of agreement was larger than 100 cm(2).
conclusionsThe infarct core and penumbra area of CTP summary maps generated by 2 commonly used software packages were significantly different, emphasizing the need for standardization and validation of CTP analysis before it can be applied to patient management in clinical practice.
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