Objectives: To implement the quality control assurance protocol (including the re-establishment of baseline data from 2016) to monitor the stability of image quality of CBCT machines located within the UT Health San Antonio School of Dentistry.
Methods And Materials: Five CBCT machines ProMax 3D Mid® (Planmeca Oy, Helsinki, Finland), 3D Accuitomo XYZ Slice View Tomograph® (Model MCT-1, Type EX-1F8; Fushimi-ku, Kyoto: J. Morita Mfg. Corp), Veraviewepocs 3D (Model R100; Fushimi-ku, Kyoto: J. Morita Mfg. Corp), PreXion3D Excelsior® (PreXion, San Mateo, CA), and i-CAT FLX Series® (Imaging Sciences International, Hatfield, PA) were tested for Artifact, Contrast-to-Noise Ratio, Noise, Spatial Resolution, and Contrast Resolution using a custom insert configuration in the SEDENTEXCT IQ phantom.
Results: Four-scan benchmark mean values for Artifact, Contrast-to-Noise, Noise, Spatial Resolution, and Contrast Resolution were determined for the five machines tested with associated alert and action level thresholds calculated.
Conclusion: This newly developed QA protocol established image quality baseline values. Recommended tests, frequency, and actions levels have been updated and control charts established for future trend analysis to enable proper implementation of a QA protocol monitoring CBCT machines at UT health San Antonio.
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http://dx.doi.org/10.1259/dmfr.20190229 | DOI Listing |
Medicina (Kaunas)
December 2024
Chair of Practical Clinical Dentistry, Department of Diagnostics, Poznan University of Medical Sciences, Bukowska 70, 60-812 Poznan, Poland.
Intracranial calcifications, particularly within the falx cerebri, serve as crucial diagnostic markers ranging from benign accumulations to signs of severe pathologies. The falx cerebri, a dural fold that separates the cerebral hemispheres, presents challenges in visualization due to its low contrast in standard imaging techniques. Recent advancements in artificial intelligence (AI), particularly in machine learning and deep learning, have significantly transformed radiological diagnostics.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Department of Radiology Oncology, Emory University, Clifton Rd, Atlanta, Georgia, 30322-1007, UNITED STATES.
This study aims to develop a digital twin (DT) framework to achieve adaptive proton prostate stereotactic body radiation therapy (SBRT) with fast treatment plan selection and patient-specific clinical target volume (CTV) setup uncertainty. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes.
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Suleyman Demirel University, Isparta, Turkey.
J Cardiothorac Surg
December 2024
Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
Background: Several methods can be used to intraoperatively identify pulmonary lesion using radiation technology. However, little is known about patient radiation exposure during chest surgery. We aimed to measure patients' radiation exposure from cone-beam computed tomography (CBCT) used in a hybrid operating room.
View Article and Find Full Text PDFEur J Radiol
December 2024
University of Oslo, Department of Maxillofacial Radiology, Norway.
Purpose: To investigate the frequency of CBCT scans, the exposure settings, volume sizes and the patient demographics (age and sex) of patients undergoing CBCT scans in university-based dental hospitals in different European countries over a one-year period.
Method: Eight University Dental Hospitals from eight countries in central and northern Europe agreed to collect data from their CBCT-databases. Exposure data including field of view (FOV), dose area product (DAP) and optimization settings plus (anonymous) age and sex of the patients were collected for the entire year 2023.
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