ArticleThe international journal of cardiovascular imaging2015
Dynamic CT perfusion measurement in a cardiac phantom.
Article in The international journal of cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative imaging: systematic review of perfusion/flow phantoms.European radiology experimental · 2020Pooled it
- Reproducibility of a single-volume dynamic CT myocardial blood flow measurement technique: validation in a swine model.European radiology experimental · 2024Article
- Low-dose quantitative CT myocardial flow measurement using a single volume scan: phantom and animal validation.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Evaluation and timing optimization of CT perfusion first pass analysis in comparison to maximum slope model in pancreatic adenocarcinoma.Scientific reports · 2023Article
- Computation of contrast-enhanced perfusion using only two CT scan phases: a proof-of-concept study on abdominal organs.European radiology experimental · 2022Article
- Absolute cerebral blood flow: Assessment with a novel low-radiation-dose dynamic CT perfusion technique in a swine model.Journal of neuroradiology = Journal de neuroradiologie · 2022Article
- Combining perfusion and angiography with a low-dose cardiac CT technique: a preliminary investigation in a swine model.The international journal of cardiovascular imaging · 2021Article
- Design, Implementation, and Validation of a Pulsatile Heart Phantom Pump.Journal of digital imaging · 2020Article
- Dynamic pulmonary CT perfusion using first-pass analysis technique with only two volume scans: Validation in a swine model.PloS one · 2020Article
- Low-Radiation-Dose Stress Myocardial Perfusion Measurement Using First-Pass Analysis Dynamic Computed Tomography: A Preliminary Investigation in a Swine Model.Investigative radiology · 2019Article
- Timing optimization of low-dose first-pass analysis dynamic CT myocardial perfusion measurement: validation in a swine model.European radiology experimental · 2019Article
- The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.Physics in medicine and biology · 2018Article
- Myocardial perfusion in patients with suspected coronary artery disease: comparison between 320-MDCT and rubidium-82 PET.European radiology · 2018Article
- Comprehensive Assessment of Coronary Artery Disease by Using First-Pass Analysis Dynamic CT Perfusion: Validation in a Swine Model.Radiology · 2018Article
- Temporal averaging for analysis of four-dimensional whole-heart computed tomography perfusion of the myocardium: proof-of-concept study.The international journal of cardiovascular imaging · 2017Article
- Functional Assessment of Coronary Artery Disease Using Whole-Heart Dynamic Computed Tomographic Perfusion.Circulation. Cardiovascular imaging · 2016Article
- Quantification of vessel-specific coronary perfusion territories using minimum-cost path assignment and computed tomography angiography: Validation in a swine model.Journal of cardiovascular computed tomographyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Widespread clinical implementation of dynamic CT myocardial perfusion has been hampered by its limited accuracy and high radiation dose. The purpose of this study was to evaluate the accuracy and radiation dose reduction of a dynamic CT myocardial perfusion technique based on first pass analysis (FPA). To test the FPA technique, a pulsatile pump was used to generate known perfusion rates in a range of 0.96-2.49 mL/min/g. All the known perfusion rates were determined using an ultrasonic flow probe and the known mass of the perfusion volume. FPA and maximum slope model (MSM) perfusion rates were measured using volume scans acquired from a 320-slice CT scanner, and then compared to the known perfusion rates. The measured perfusion using FPA (P(FPA)), with two volume scans, and the maximum slope model (P(MSM)) were related to known perfusion (P(K)) by P(FPA) = 0.91P(K) + 0.06 (r = 0.98) and P(MSM) = 0.25P(K) - 0.02 (r = 0.96), respectively. The standard error of estimate for the FPA technique, using two volume scans, and the MSM was 0.14 and 0.30 mL/min/g, respectively. The estimated radiation dose required for the FPA technique with two volume scans and the MSM was 2.6 and 11.7-17.5 mSv, respectively. Therefore, the FPA technique can yield accurate perfusion measurements using as few as two volume scans, corresponding to approximately a factor of four reductions in radiation dose as compared with the currently available MSM. In conclusion, the results of the study indicate that the FPA technique can make accurate dynamic CT perfusion measurements over a range of clinically relevant perfusion rates, while substantially reducing radiation dose, as compared to currently available dynamic CT perfusion techniques.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.