Clinical trial NCT05135208: Optimized Camera-based Patient Positioning in CT
Official title: Optimized Camera-based Patient Positioning in CT: Impact on Radiation Exposure.
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Radiation Dosage
Lead sponsor: Paracelsus Medical University
Sponsor class: OTHER
First posted: 2021-11-26
Enrollment: 3118
Sex: ALL
Minimum age (years): 18
Maximum age (years): 100
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: CASE_CONTROL
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: patients of a primary care clinic

Brief summary: To evaluate the effect on radiation dose using intelligent camera positioning in comparison to manual positioning by the radiology assistant.

Detailed description: The positioning of the patient at the beginning of every CT examination has an major influence on the image quality and especially on the respective effective patient dose in the CT scan. If the patient position is closer to the X-ray tube, the patient dose increases significantly and if the vertical patient position is chosen too far away from the X-ray tube, the applied dose decreases, but also the image quality.

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.

Eligibility criteria: Inclusion Criteria:

Only patients with a clinical indication for a CT Scan

Exclusion Criteria:

renal insufficiency, manifest hyperthyroidism and pregnancy

Primary outcomes:
measure: Effective dose
timeFrame: 10 months
Secondary outcomes:
Other outcomes:
Locations:
city: Nuremberg
country: Germany
facility: Institute of Radiology and Nuclear Medicine
state: Bavaria
Study officials:
affiliation: Department of Radiology and Nuclear Medicine, Klinikum Nuernberg, Paracelsus Medical University, Germany
name: Michael M. Lell, Prof. Dr.
role: STUDY_DIRECTOR
References:
citation: 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.
citation: 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.
citation: 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.
citation: 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.
citation: 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.
citation: 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.