Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
3118 participants
OBSERVATIONAL
2021-02-01
2022-05-24
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Effect of Different Voxel Sizes on Accuracy of CBCT Linear Measurements: Preclinical Study
NCT03229018
Decision Making in Degenerative Lumbar Spine : CT vs. MRI
NCT04130035
Patient-driven Compression in Urography
NCT02622269
Imaging Techniques in CT: Technical Development
NCT02242448
CT Change Management in Trauma Patients
NCT05138536
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
In a retrospective observational study, patients were examined on the CT scanner Somatom X.Cite and divided into two groups, one group was with intelligent camera positioning and the other with manual positioning.
The patients received their CT scan at the Institute Radiology and Nuclear Medicine at the Nuremberg North Hospital strictly according to the clinical indication and without influence of the study.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_CONTROL
RETROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
experimental group
patients positioned with 3D camera
No interventions assigned to this group
control group
patients positioned by experienced radiology assistants
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
18 Years
100 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Dr. Panagiota Manava
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Dr. Panagiota Manava
Dr. med. Panagiota Manava, MD, Attending Radiologist, Principal Invesigator
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Michael M. Lell, Prof. Dr.
Role: STUDY_DIRECTOR
Department of Radiology and Nuclear Medicine, Klinikum Nuernberg, Paracelsus Medical University, Germany
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Institute of Radiology and Nuclear Medicine
Nuremberg, Bavaria, Germany
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Booij R, Budde RPJ, Dijkshoorn ML, van Straten M. Accuracy of automated patient positioning in CT using a 3D camera for body contour detection. Eur Radiol. 2019 Apr;29(4):2079-2088. doi: 10.1007/s00330-018-5745-z. Epub 2018 Oct 10.
Kaasalainen T, Palmu K, Reijonen V, Kortesniemi M. Effect of patient centering on patient dose and image noise in chest CT. AJR Am J Roentgenol. 2014 Jul;203(1):123-30. doi: 10.2214/AJR.13.12028.
Saltybaeva N, Schmidt B, Wimmer A, Flohr T, Alkadhi H. Precise and Automatic Patient Positioning in Computed Tomography: Avatar Modeling of the Patient Surface Using a 3-Dimensional Camera. Invest Radiol. 2018 Nov;53(11):641-646. doi: 10.1097/RLI.0000000000000482.
Marsh RM, Silosky MS. The effects of patient positioning when interpreting CT dose metrics: A phantom study. Med Phys. 2017 Apr;44(4):1514-1524. doi: 10.1002/mp.12137. Epub 2017 Mar 17.
Dane B, O'Donnell T, Liu S, Vega E, Mohammed S, Singh V, Kapoor A, Megibow A. Radiation dose reduction, improved isocenter accuracy and CT scan time savings with automatic patient positioning by a 3D camera. Eur J Radiol. 2021 Mar;136:109537. doi: 10.1016/j.ejrad.2021.109537. Epub 2021 Jan 12.
Manava P, Galster M, Ammon J, Singer J, Lell MM, Rieger V. Optimized Camera-Based Patient Positioning in CT: Impact on Radiation Exposure. Invest Radiol. 2023 Feb 1;58(2):126-130. doi: 10.1097/RLI.0000000000000904. Epub 2022 Aug 2.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
CT_2021
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.