European Journal of Radiology, Год журнала: 2024, Номер 183, С. 111891 - 111891
Опубликована: Дек. 17, 2024
Язык: Английский
European Journal of Radiology, Год журнала: 2025, Номер 184, С. 111956 - 111956
Опубликована: Янв. 29, 2025
Язык: Английский
Процитировано
1
European Radiology, Год журнала: 2025, Номер unknown
Опубликована: Янв. 31, 2025
To assess the impact of acquisition and reconstruction factors on robustness radiomics within photon-counting detector CT (PCD-CT). A phantom with twenty-eight texture materials was scanned different including reposition, scan mode (standard vs high-pitch), tube voltage (120 kVp 140 kVp), slice thickness (1.0 mm 0.4 mm), radiation dose level (0.5 mGy, 1.0 3.0 5.0 10.0 mGy), quantum iterative (0/4, 2/4, 4/4), kernel (Qr40, Qr44, Qr48). Thirteen sets virtual monochromatic images at 70-keV were reconstructed. The regions interest drawn rigid registrations. Ninety-three features extracted from each material. reproducibility evaluated using intraclass correlation coefficient (ICC) concordance (CCC). variability assessed by variation (CV) quartile dispersion (QCD). percentage ICC > 0.90 CCC high when repositioned (88.2% 88.2%) changed (87.1% 87.1%), but none high-pitch used. CV < 10% QCD (47.3% 68.8%) (64.2% 71.0%), that low between standard scans (16.1% 26.9%) (19.4% 29.0%). PCD-CT robust to voltage, dose, strength level, kernel, brittle thickness. Question stability against should be fully determined before academic research clinical application. Findings are Clinical relevance influence voxel size set careful attention PCD-CT, allow a higher implementation analysis in routine.
Язык: Английский
Процитировано
1
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Год журнала: 2025, Номер unknown
Опубликована: Янв. 23, 2025
The need for effective early detection and optimal therapy monitoring of cardiovascular diseases as the leading cause death has led to an adaptation guidelines with a focus on cardiac computed tomography (CCTA) in patients low intermediate risk coronary heart disease (CHD). In particular, introduction photon-counting (PCCT) CT diagnostics promises significant advances through higher temporal spatial resolution, also enables advanced texture analysis, known radiomics analysis. Originally developed oncological imaging, analysis is increasingly being used imaging research. aim generate biomarkers that improve monitoring.The present study summarizes current developments particular evaluations PCCT data sets different regions, including myocardium, plaques, pericoronary/epicardial fat tissue.These could revolutionize diagnosis treatment significantly patient prognoses worldwide. this review article shed light state research identify opportunities establishing it clinical routine future. · Radiomics: Enables deeper, objective structures via feature quantification.. PCCT: Provides quality image, improving stability reproducibility CT.. Early detection: enhance management.. Challenges: Technical standardization issues hinder widespread application.. Future: Advancing technologies soon integrate practice.. Ayx I, Bauer R, Schönberg SO et al. Cardiac Radiomics Analyses Times Photon-counting Computed Tomography Personalized Risk Stratification Present Future. Rofo 2025; DOI 10.1055/a-2499-3122.
Язык: Английский
Процитировано
0
Expert Review of Respiratory Medicine, Год журнала: 2025, Номер unknown
Опубликована: Янв. 29, 2025
Процитировано
0
Diagnostics, Год журнала: 2025, Номер 15(6), С. 649 - 649
Опубликована: Март 7, 2025
Background/Objectives: To evaluate and optimize the reconstruction parameters of images acquired with a photon-counting CT scanner to achieve stable radiomics signal. Methods: Radiomics is quantitative imaging biomarker correlated survival in oncology patients. Implementing clinical routine remains challenging due feature’s instability. Photon-counting scans use innovative technology directly converting photons into electrical signals resulting higher-resolution reduced artifacts. This study used two organic phantoms: natural wet sponge dry sausage. UHR were using NAEOTOM Alpha scan (Siemens) 0.4 mm slice thickness 0.3 × pixel size. Tube current voltage fixed at 112 mA 120 KvP. A total 24 parameter sets obtained by combining different values kernel (Br), iterative (QIR), spectral (keV), matrix Ten successive acquisitions on both phantoms. In total, 93 radiomic features extracted an ROI default Pyradiomic 3.0.1. Each stability was evaluated coefficient variation (CV) within each set. Results: Of sets, 5 selected based best image quality seven radiologists three radiology technologists. considered set when CV less than 15%. Feature impacted phantom used. The most combination included 90 65 tested sausage respectively. It configured Br36, QIR 4, 60 keV, 1024 Conclusions: Images offer promising feature optimal configurations that could be applied setting.
Язык: Английский
Процитировано
0
European Journal of Radiology, Год журнала: 2024, Номер 182, С. 111840 - 111840
Опубликована: Ноя. 19, 2024
Язык: Английский
Процитировано
1
European Journal of Radiology, Год журнала: 2024, Номер 183, С. 111891 - 111891
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
0