Sarmento S, Mendes B, Gouvêa M. Automatic calculation of patient size metrics in computed tomography: What level of computational accuracy do we need?
J Appl Clin Med Phys 2017;
19:218-227. [PMID:
29265700 PMCID:
PMC5768030 DOI:
10.1002/acm2.12240]
[Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 11/04/2017] [Accepted: 11/14/2017] [Indexed: 12/04/2022] Open
Abstract
Objectives
To compare the effectiveness of two different patient size metrics based on water equivalent diameter (Dw), the mid‐scan water equivalent diameter Dw_c, and the mean (average) water equivalent diameter in the imaged region, Dw_ave, for automatic detection of accidental changes in computed tomography (CT) acquisition protocols.
Methods
Patient biometric data (height and weight) were available from a previous survey for 80 adult chest examinations, and 119 adult single‐acquisition chest–abdomen–pelvis (CAP) examinations for two 16 slice scanners (GE LightSpeed and Toshiba Aquilion RXL) equipped with automatic tube current modulation (ATCM). Dw_c and Dw_ave were calculated from the archived CT images. Size‐specific dose estimates (SSDE) were obtained from volume CT dose index (CTDIvol), using the conversion factors for a patient diameter of Dw_c.
Results
CTDIvol and SSDE correlate better with Dw_ave than with Dw_c. R‐squared values of linear fits to CTDIvol of CAP examinations were 0.81–0.89 for Dw_c and 0.93–0.94 for Dw_ave (SSDE: 0.69–080 for Dw_c, 0.87–0.92 for Dw_ave). Percentage differences between Dw_c and Dw_ave were −4 ± 4% for chest and +5 ± 4% for CAP examinations (in % of Dw_ave). However, small Dw variations translated as larger variations in CTDIvol for these ATCM systems (e.g., a 24% increase in Dw doubled CTDIvol). The dependence of CTDIvol on Dw_ave was similar for chest and CAP examinations performed with similar ATCM parameters, while use of Dw_c resulted in a clear separation of the same data according to examination type. Maximum Dw variation in the imaged region was 5.6 ± 1.6 cm for chest and 6.5 ± 1.4 cm for CAP examinations.
Conclusions
Dw_ave is a better metric than Dw_c for binning similar‐sized patients in dose comparison studies, despite the additional computational effort required for its calculation Therefore, when implementing automatic determination of Dw for SSDE calculations, automatic calculation of Dw_ave should be considered.
Collapse