ReviewThe international journal of cardiovascular imaging2019
State of the art: utility of multi-energy CT in the evaluation of pulmonary vasculature.
Review in The international journal of cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Spectral imaging and analysis of monophasic CT angiography to assess infarct core and penumbra in acute stroke.Scientific reports · 2024Article
- Thoracic Diseases: Technique and Applications of Dual-Energy CT.Diagnostics (Basel, Switzerland) · 2023Review
- Impact of Photon Counting Detector CT Derived Virtual Monoenergetic Images on the Diagnosis of Pulmonary Embolism.Diagnostics (Basel, Switzerland) · 2022Article
- Dual-energy CT of acute bowel ischemia.Abdominal radiology (New York) · 2022Review
- Split-filter dual-energy CT pulmonary angiography for the diagnosis of acute pulmonary embolism: a study on image quality and radiation dose.Quantitative imaging in medicine and surgery · 2021Article
- [Blue Lungs in Covid-19 Patients: A Step beyond the Diagnosis of Pulmonary Thromboembolism using MDCT with Iodine Mapping].Archivos de bronconeumologia · 2021Article
- Advances in Diagnostic Imaging of Hepatopulmonary Syndrome.Frontiers in medicine · 2021Review
- Acute pulmonary embolism multimodality imaging prior to endovascular therapy.The international journal of cardiovascular imaging · 2021Review
- Cardiovascular imaging 2019 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2020Article
- Topical issue: advanced imaging and endovascular treatment in pulmonary artery diseases.The international journal of cardiovascular imaging · 2019Article
- Dual-Energy CT Images: Pearls and Pitfalls.Radiographics : a review publication of the Radiological Society of North America, IncArticle
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
No grant is acknowledged in the PubMed record.
Abstract
Multi-energy computed tomography (MECT) refers to acquisition of CT data at multiple energy levels (typically two levels) using different technologies such as dual-source, dual-layer and rapid tube voltage switching. In addition to conventional/routine diagnostic images, MECT provides additional image sets including iodine maps, virtual non-contrast images, and virtual monoenergetic images. These image sets provide tissue/material characterization beyond what is possible with conventional CT. MECT provides invaluable additional information in the evaluation of pulmonary vasculature, primarily by the assessment of pulmonary perfusion. This functional information provided by the MECT is complementary to the morphological information from a conventional CT angiography. In this article, we review the technique and applications of MECT in the evaluation of pulmonary vasculature.
Indexed as
Identifiers
31049753What 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.