A Real-World Clinical Implementation of Automated Processing Using Intelligent Work Aid for Rapid Reformation at the Orbitomeatal Line in Head Computed Tomography. Issue 9 (7th September 2021)

• Record Type: Journal Article
• Authors: Nishii, Tatsuya; Okuyama, Shun; Horinouchi, Hiroki; Chikuda, Ryo; Kamei, Eisuke; Higuchi, Satoshi; Ohta, Yasutoshi; Fukuda, Tetsuya
• Is Part Of: Investigative radiology. Volume 56:Issue 9(2021)
• Page Start: 599
• Page End: 604
• Publication Date: 2021-09-07
• Subjects: multidetector computed tomography -- workload -- electronic data processing -- machine learning -- orbitomeatal line; Diagnosis, Radioscopic -- Periodicals; Radiology, Medical -- Periodicals; 616.0757
• DOI: 10.1097/RLI.0000000000000779
• Languages: English
• ISSNs: 0020-9996

Abstract

Abstract : Supplemental digital content is available in the text. Objectives: The aim was to investigate the time savings and plane accuracy of multivendor head computed tomography (CT) using the intelligent work aid with automatic reformatting of the axial head image at the orbitomeatal line. Materials and Methods: We retrospectively reviewed 781 head CTs (median, 70 years; 441 men) collected by CT systems from 3 vendors. In addition to the orbitomeatal line image reformatted by a CT specialist as a reference, we obtained the fully automated orbitomeatal line image using the intelligent work aid. We calculated the offset angle from the reference of the automatically reformatted image. We defined the large offset angle groups as those with an offset angle greater than 3 degrees. Multivariate logistic regression was used to determine the independent factors for the large offset angle groups. We compared the postprocessing times measured using the intelligent work aid or by a CT specialist. Results: With the intelligent work aid, 99.7% of CTs were automatically reformatted to the orbitomeatal line without error. Furthermore, 88.1% of CTs were within the 3 degrees' offset angle when compared with the reference produced by a CT specialist. The median offset angle from the reference was 1.41 degrees. Multivariate analysis showed that the offset angle of the positioning plane was an independent factor (odds ratio, 1.045; P = 0.005) for predicting the large offset angle group. Furthermore, this technique was 4 times faster (6.4 ± 0.7 seconds) than a CT specialist (25.6 ± 6.4 seconds). Conclusions: The intelligent work aid can generate a fast and precise head CT image aligned at the orbitomeatal line, even in real-world clinical CTs. However, precise positioning remains essential.