Literature DB >> 33454459

Radiation dose reduction, improved isocenter accuracy and CT scan time savings with automatic patient positioning by a 3D camera.

Bari Dane1, Thomas O'Donnell2, Shu Liu3, Emilio Vega4, Sharon Mohammed5, Vivek Singh6, Ankur Kapoor7, Alec Megibow8.   

Abstract

PURPOSE: To compare CT isocenter accuracy, patient dose, and scan time in adults imaged with and without use of a 3D camera.
METHOD: 571 CT examinations utilizing a 3D camera for initial patient positioning (optional radiographer isocenter adjustment) and 504 examinations scanned without the camera between 10/1/2018 and 3/19/2019 were retrospectively identified. All exams were chest or abdominopelvic CTs. The isocenters of these exams were compared with the true isocenters defined as the manually delineated centroid of the body in the CT volume. The size specific dose estimate (SSDE) (mGy) of radiation dose obtained from departmental software for the 4 most common protocols on one CT scanner was compared before and after implementation of the 3D camera. The times required for the entire scan and just the topogram "scout" were compared with and without the 3D camera for noncontrast chest and abdominopelvic CT enterography protocols. 2-tailed t-tests and Mann-Whitney U tests were used (P < 0.05 indicated statistical significance).
RESULTS: The deviation from true isocenter was 6.8 ± 6.1 mm (P = 0.043) and 16.3 ± 14.0 mm (P < 0.01) with and without the 3D camera, respectively (P < 0.01). CT radiographers accepted isocenter location without alteration in 93 % of examinations. Average SSDE savings with the 3D camera ranged 1.0-2.4 mGy (21-31 %) for the 4 most commonly performed protocols (p < 0.01). Median scout time savings was 32 s (Camera vs. No-Camera cohorts) (P < 0.01). Average noncontrast chest CT and CT enterography scan time savings were 19 s and 17 s with the 3D camera, respectively (P < 0.01).
CONCLUSIONS: The 3D camera improved accuracy of patient positioning while reducing radiation dose and examination time. Implementation of a 3D camera helps standardize workflow in a busy clinical practice.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automation; Computed tomography; Deep learning; Patient positioning; Tomography; X-Ray computed

Mesh:

Year:  2021        PMID: 33454459     DOI: 10.1016/j.ejrad.2021.109537

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

1.  0° vs. 180° CT localiser: The effect of vertical off-centring, phantom positioning and tube voltage on dose optimisation in multidetector computed tomography.

Authors:  Yazan Al-Hayek; Xiaoming Zheng; Rob Davidson; Christopher Hayre; Dana Al-Mousa; Campbell Finlay; Kelly Spuur
Journal:  J Med Radiat Sci       Date:  2021-08-17

2.  Influence of breathing state on the accuracy of automated patient positioning in thoracic CT using a 3D camera for body contour detection.

Authors:  Ronald Booij; Marcel van Straten; Andreas Wimmer; Ricardo P J Budde
Journal:  Eur Radiol       Date:  2021-07-29       Impact factor: 5.315

  2 in total

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