ReviewDiagnostics (Basel, Switzerland)2023
Thoracic Diseases: Technique and Applications of Dual-Energy CT.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 9 citations in OpenAlex.
- Myeloid sarcoma of the posterior mediastinum mimicking lymphoma: Potential role of dual-energy CT.Radiology case reports · 2026Article
- What you don't see matters: dual-energy CT in emergency radiology.Japanese journal of radiology · 2026Review
- Clinical Utility of Dual-Energy CT for Detection, Characterization, and Staging of Lung Tumors: A Rapid Review.Diagnostics (Basel, Switzerland) · 2026Review
- Diagnostic Accuracy of Dual Energy CT for Bone Marrow Edema of the Sacroiliac Joints Compared with MRI: A Systematic Review.Journal of clinical medicine · 2026Review
- Uncommon Cause of Pulmonary Hypertension: Imaging Diagnosis of Cardiac Myxoma Embolism.Diagnostics (Basel, Switzerland) · 2025Article
- Italian radiologists and dual-energy CT: a state of the art from a shared document by the computed tomography subspecialty section of the Italian society of radiology.La Radiologia medica · 2025Article
- [Research Progress on Imaging Diagnosis of Non-small Cell Lung Cancer Which Invades Pleura or Chest Wall].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Utility of Dual-Energy Computed Tomography in Clinical Conundra.Diagnostics (Basel, Switzerland) · 2024Review
- Multimodality imaging of acute and chronic pulmonary thromboembolic disease.Breathe (Sheffield, England) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dual-energy computed tomography (DECT) is one of the most promising technological innovations made in the field of imaging in recent years. Thanks to its ability to provide quantitative and reproducible data, and to improve radiologists' confidence, especially in the less experienced, its applications are increasing in number and variety. In thoracic diseases, DECT is able to provide well-known benefits, although many recent articles have sought to investigate new perspectives. This narrative review aims to provide the reader with an overview of the applications and advantages of DECT in thoracic diseases, focusing on the most recent innovations. The research process was conducted on the databases of Pubmed and Cochrane. The article is organized according to the anatomical district: the review will focus on pleural, lung parenchymal, breast, mediastinal, lymph nodes, vascular and skeletal applications of DECT. In conclusion, considering the new potential applications and the evidence reported in the latest papers, DECT is progressively entering the daily practice of radiologists, and by reading this simple narrative review, every radiologist will know the state of the art of DECT in thoracic diseases.
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.