Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors.
Antar AlyShadi EbrahimianMohammed H KharitaMahmoud HeidousMohammad Zaya AshrufDavendra KumarMannudeep K KalraHuda Mohd Al NaemiPublished in: PloS one (2022)
There are no published data on the effect of patient and technologist gender and ethnicity attributes on off-centering in CT. Therefore, we assessed the impact of patient and technologist variations on off-centering patients undergoing body CT. With institutional review board approval, our retrospective study included 1000 consecutive adult patients (age ranged 22-96 years; 756 males: 244 females) who underwent chest or abdomen CT examinations. We recorded patient (age, gender, nationality, body weight, height,), technologist gender, and scan-related (scanner vendor, body region imaged, scan length, CT dose index volume, dose length product) information. Lateral and anteroposterior (AP) diameters were recorded to calculate effective diameter and size-specific dose estimate (SSDE). Off-centering represented the distance between the anterior-posterior centers of the scan field of view and the patient at the level of carina (for chest CT) and iliac crest (for abdomen CT). About 76% of the patients (760/1000) were off-centered with greater off-centering for chest (22 mm) than for abdomen (15 mm). Although ethnicity or patient gender was not a significant determinant of off-centering, technologist-patient gender mismatch was associated with a significantly greater frequency of off-centering (p<0.001). Off-centering below the gantry isocenter was twice as common as off-centering above the gantry isocenter (p<0.001). The latter occurred more frequently in larger patients and was associated with higher radiation doses than those centered below the isocenter (p<0.001). Technologists' years of experience and patient factors profoundly affect the presence and extent of off-centering for both chest and abdomen CTs. Larger patients are more often off-centered than smaller patients.
Keyphrases
- computed tomography
- end stage renal disease
- case report
- dual energy
- image quality
- ejection fraction
- newly diagnosed
- chronic kidney disease
- contrast enhanced
- patients undergoing
- prognostic factors
- mental health
- positron emission tomography
- body weight
- systematic review
- machine learning
- small cell lung cancer
- patient reported outcomes
- social media
- artificial intelligence
- body mass index
- physical activity