| Full text | |
| Author(s): |
Costa, Paulo Roberto
;
Castro, Jullianna Cristina de Oliveira
;
Nunes, Isabella Paziam Fernandes
;
Nersissian, Denise Yanikian
;
Sawamura, Marcio Yamada
;
Leao Filho, Hilton
;
Tomal, Alessandra
Total Authors: 7
|
| Document type: | Journal article |
| Source: | Radiation Physics and Chemistry; v. 221, p. 9-pg., 2024-04-06. |
| Abstract | |
The use of DRLs has been extensively documented in the literature as a tool for protocol optimization across different x-ray imaging modalities in different countries. It recognizes the importance of developing and validating methods capable of correlating DRL quantities (CTDIvol, DLP and SSDE) with the technical parameters employed in CT studies. Such correlations must be supported by robust statistical methodologies in order to ensure the adoption of adequate optimization decisions. The aim of this work was to apply the Generalized Additive Model (GAM) statistical analysis in adult non-contrast chest and abdomen-pelvis CT typical values. These patient cohorts were statistically evaluated to identify correlations with key-parameters associated to the demographic patient information and machine dependent data, taking into account patients' effective diameters, d, and body mass indexes (BMI). GAM was implemented considering each anatomical region in order to correlate the log-transformed DRL quantities (DRLq's) as outcomes given different key predictors related to image acquisition and patient characteristics. A total of 956 CT patient data were collected in this retrospective singlecenter study. Demographic variables demonstrate that age is not or it is just weakly-correlated to the DRLq's resulting from chest procedures, but it is strongly correlated when considering abdomen-pelvis examinations. Gender is correlated to the DRLq's for chest examinations adopting d as a key predictor but it is only correlated with DLP adopting the BMI as a key predictor. The level of accuracy provided by the GAM was adequate for interpreting the large fluctuations of the DRLq's, technical parameters and demographic data observed for the studied patient cohorts. Our results reflect the importance of a comprehensive statistical evaluation of typical values. The domain of this technique is important to different CT imaging chain stakeholders and its application can be a key tool for decision-making process to effective optimization strategies. (AU) | |
| FAPESP's process: | 21/08923-7 - Generation of realistic breast models using neural networks for dosimetry in X-ray breast imaging techniques |
| Grantee: | Alessandra Tomal |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 22/11457-0 - Applications of additive manufacturing techniques to the development of computed tomography phantoms |
| Grantee: | Paulo Roberto Costa |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/05982-0 - R&D&I in radiation metrology in the health area |
| Grantee: | Linda Viola Ehlin Caldas |
| Support Opportunities: | Research Projects - Thematic Grants |