ArticleInvestigative radiology2019
High-Resolution Chest Computed Tomography Imaging of the Lungs: Impact of 1024 Matrix Reconstruction and Photon-Counting Detector Computed Tomography.
Article in Investigative radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- Article
- Photon-counting detector computed tomography in thoracic oncology: revolutionizing tumor imaging through precision and detail.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Review
- Pushing the limits of spatial resolution in clinical PCD-CT using a dedicated high-resolution convolutional neural network (HR-CNN).Medical physics · 2026Article
- Photon-Counting CT Angiography Enables Superior Preoperative Perforator Depiction for Fibular Transplant Surgery Requiring Less Contrast Agent Compared to Energy-Integrating CT.Diagnostics (Basel, Switzerland) · 2026Article
- Ultra-high spatial resolution at photon-counting computed tomography: technical insights and sustainable applications in cardiothoracic imaging.European radiology experimental · 2026Review
- Airway quantifications of bronchitis patients with photon-counting and energy-integrating computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Diffuse cystic lung diseases-a primer for radiologists.BJR open · 2026Review
- Effect of spatial resolution on the diagnostic performance of machine-learning radiomics model in lung adenocarcinoma: comparisons between normal- and high-spatial-resolution imaging for predicting invasiveness.Japanese journal of radiology · 2025Article
- Photon-Counting Computed Tomography in Thoracic Surgery: A Narrative Review of Current and Future Applications.Cancers · 2025Review
- Thoracic applications of photon-counting CT: where are we after 3 years of clinical implementation?The British journal of radiology · 2025Review
- Comparison of quantitative lung measures in low dose energy-integrating detector and photon-counting detector chest CT with an anthropomorphic phantom.Biomedical physics & engineering express · 2025Article
- Low-dose ultrahigh-resolution PCCT enhances subsolid nodule characterization.La Radiologia medica · 2025Article
- Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast.Scientific reports · 2025Article
- Photon-counting detector CT provides superior subsolid nodule characterization compared to same-day energy-integrating detector CT.European radiology · 2025Article
- Role of photon-counting computed tomography in pediatric cardiovascular imaging.World journal of clinical pediatrics · 2025Review
- Size-specific dose estimates calculated using patient size measurements from scanned projection radiograph in high-resolution chest computed tomography.Journal of medical radiation sciences · 2025Article
- A multireader, multicase study comparing ultra-high-resolution and conventional-resolution computed tomography for lung nodule characterization.Journal of clinical imaging science · 2025Article
- Low-contrast detectability of photon-counting-detector CT at different scan modes and image types in comparison with energy-integrating-detector CT.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Assessment of interstitial lung disease in a systemic sclerosis patient cohort using photon-counting detector CT with ultra-high resolution and a 1024-pixel image matrix.The British journal of radiology · 2024Article
- Pediatric contrast-enhanced chest CT on a photon-counting detector CT: radiation dose and image quality compared to energy-integrated detector CT.Pediatric radiology · 2024Observational
11 more citing papers are in PubMed but not listed here.
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9 authors.
Funding
Abstract
objectivesThe aim of this study was to evaluate if a high-resolution photon-counting detector computed tomography (PCD-CT) system with a 1024×1024 matrix reconstruction can improve the visualization of fine structures in the lungs compared with conventional high-resolution CT (HRCT). MATERIALS AND
methodsTwenty-two adult patients referred for clinical chest HRCT (mean CTDI vol, 13.58 mGy) underwent additional dose-matched PCD-CT (mean volume CT dose index, 13.37 mGy) after written informed consent. Computed tomography images were reconstructed at a slice thickness of 1.5 mm and an image increment of 1 mm with our routine HRCT reconstruction kernels (B46 and Bv49) at 512 and 1024 matrix sizes for conventional energy-integrating detector (EID) CT scans. For PCD-CT, routine B46 kernel and an additional sharp kernel (Q65, unavailable for EID) images were reconstructed at 1024 matrix size. Two thoracic radiologists compared images from EID and PCD-CT noting the highest level bronchus clearly identified in each lobe of the right lung, and rating bronchial wall conspicuity of third- and fourth-order bronchi. Lung nodules were also compared with the B46/EID/512 images using a 5-point Likert scale. Statistical analysis was performed using a Wilcoxon signed rank test with a P < 0.05 considered significant.
resultsCompared with B46/EID/512, readers detected higher-order bronchi using B46/PCD/1024 and Q65/PCD/1024 images for every lung lobe (P < 0.0015), but in only the right middle lobe for B46/EID/1024 (P = 0.007). Readers were able to better identify bronchial walls of the third- and fourth-order bronchi better using the Q65/PCD/1024 images (mean Likert scores of 1.1 and 1.5), which was significantly higher compared with B46/EID/1024 or B46/PCD/1024 images (mean difference, 0.8; P < 0.0001). The Q65/PCD/1024 images had a mean nodule score of 1 ± 1.3 for reader 1, and -0.1 (0.9) for reader 2, with one reader having improved nodule evaluation scores for both PCD kernels (P < 0.001), and the other reader not identifying any increased advantage over B46/EID/1024 (P = 1.0).
conclusionsHigh-resolution lung PCD-CT with 1024 image matrix reconstruction increased radiologists' ability to visualize higher-order bronchi and bronchial walls without compromising nodule evaluation compared with current chest CT, creating an opportunity for radiologists to better evaluate airway pathology.
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