ArticleJournal of thoracic imaging2019
Added Value of Ultra-low-dose Computed Tomography, Dose Equivalent to Chest X-Ray Radiography, for Diagnosing Chest Pathology.
Article in Journal of thoracic imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04645030 (The Value of Ultralow Dosis CT and Ultrasound in the Diagnosing of Pneumonia in the Emergency Department), which is not on this map. Cited by 51 papers.
What it found
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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.
The Value of Ultralow Dosis CT and Ultrasound in the Diagnosing of Pneumonia in the Emergency Department
Who cites it
51 citing papers in PubMed, 123 citations in OpenAlex.
- Diagnostic accuracy of ultra-low-dose chest CT vs chest X-ray for acute non-traumatic pulmonary diseases.European radiology · 2025Trial
- The yield of chest X-ray or ultra-low-dose chest-CT in emergency department patients suspected of pulmonary infection without respiratory symptoms or signs.European radiology · 2023Trial
- Trial
- Feasibility of BMI-based sub-milliSievert low-dose CT in individualized detection of lung nodules.European radiology · 2026Article
- Assessing the Image Quality of Digitally Reconstructed Radiographs from Chest CT.Journal of imaging informatics in medicine · 2025Article
- Geriatric-Specific Considerations in the Care of Older Adults with Pulmonary/Respiratory Diseases.Emergency medicine clinics of North America · 2025Review
- Towards ultra-low-dose CT for detecting pulmonary nodules using DenseNet.Physical and engineering sciences in medicine · 2025Article
- Reinvestigating the performance of artificial intelligence classification algorithms on COVID-19 X-Ray and CT images.iScience · 2024Article
- Are radiographs overutilized in pediatric orthopaedic emergency room care?Journal of the Pediatric Orthopaedic Society of North America · 2024Article
- Optimizing Diagnosis and Management of Community-acquired Pneumonia in the Emergency Department.Emergency medicine clinics of North America · 2024Review
- Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images.BMC medical imaging · 2024Article
- Photon Counting Computed Tomography with the Radiation Dose of a Chest X-Ray: Feasibility and Diagnostic Yield.Respiration; international review of thoracic diseases · 2024Article
- Effective processing pipeline PACE 2.0 for enhancing chest x-ray contrast and diagnostic interpretability.Scientific reports · 2023Article
- Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients - a prospective randomised crossover cohort trial.EClinicalMedicine · 2023Article
- Leveraging artificial intelligence in radiology education: challenges and opportunities.European radiology · 2023Article
- Associated radiation exposure from medical imaging and excess lifetime risk of developing cancer in pediatric patients with pulmonary hypertension.Pulmonary circulation · 2023Article
- A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning.Sensors (Basel, Switzerland) · 2023Article
- Limited Clinical Impact of Ultralow-Dose Computed Tomography in Suspected Community-Acquired Pneumonia.Open forum infectious diseases · 2023Article
- Review on chest pathogies detection systems using deep learning techniques.Artificial intelligence review · 2023Article
- Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review.Multimedia tools and applications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to assess the clinical value of ultra-low-dose computed tomography (ULDCT) compared with chest x-ray radiography (CXR) for diagnosing chest pathology. MATERIALS AND
methodsA total of 200 patients referred for CXR by outpatient clinics or general practitioners were enrolled prospectively. They underwent CXR (posteroanterior and lateral) and ULDCT (120 kV, 3 mAs) on the same day. In-room time and effective dose were recorded for each examination. Studies were categorized whether they were diagnostic or not, relevant radiologic diagnostic findings were reported, and confidence for diagnosis was recorded by a Likert scale. Differences in diagnostic confidence and effect on management decision were compared.
resultsIn-room time was <2 minutes for CXR and <3 minutes for ULDCT. Effective dose was 0.040 mSv for CXR and 0.071 mSv for ULDCT. CXR was considered diagnostic in 98% and ULDCT in 100%. The mean perceived confidence for diagnosis was 88±12% with CXR and 98±2% with ULDCT (P<0.0001), whereas discrepant findings between CXR and ULDCT were found in 101 of 200 patients. As compared with CXR, ULDCT had added value for management decisions in 40 of 200 patients.
conclusionsULDCT provided added value to the radiologist by improved perceived confidence with a reduction in false-positive and false-negative CXR investigations that had management implications in 20% of patients. The effective dose of ULDCT will not be a limiting factor for introducing ULDCT of the chest on a broad scale in clinical practice.
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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.