A Simulation Paradigm for Evaluation of Subtle Liver Lesions at Pediatric CT: Performance and Confidence.
Publication/Presentation Date
9-1-2019
Abstract
PURPOSE: To create and validate a systematic observer performance platform for evaluation of simulated liver lesions at pediatric CT and to test this paradigm to measure the effect of radiation dose reduction on detection performance and reader confidence.
MATERIALS AND METHODS: Thirty normal pediatric (from patients aged 0-10 years) contrast material-enhanced, de-identified abdominal CT scans obtained from July 1, 2012, through July 1, 2016, were retrospectively collected from the clinical database. The study was exempt from institutional review board approval. Zero to three simulated, low-contrast liver lesions (≤6 mm) were digitally inserted by using software, and noise was added to simulate reductions in volume CT dose index (representing radiation dose estimation) of 25% and 50%. Pediatric, abdominal, and resident radiologists (three of each) reviewed 90 data sets in three sessions using an online interface, marking each lesion location and rating confidence (scale, 0-100). Statistical analysis was performed by using software.
RESULTS: Mixed-effects models revealed a significant decrease in detection sensitivity as radiation dose decreased (
CONCLUSION: Sensitivity for lesion detection significantly decreased as dose decreased; however, confidence did not change between the full-dose and 25% reduced-dose scans. This suggests that readers are unaware of this decrease in performance, which should be accounted for in clinical dose reduction efforts.
Volume
1
Issue
1
First Page
190027
Last Page
190027
ISSN
2638-616X
Published In/Presented At
Ngo, J. S., Solomon, J. B., Samei, E., Richards, T., Ngo, L., Erkanli, A., Zhang, B., Allen, B. C., Davis, J. T., Devalapalli, A., Groller, R., Marin, D., Maxfield, C. M., Pamarthi, V., Patel, B. N., Schooler, G. R., & Frush, D. P. (2019). A Simulation Paradigm for Evaluation of Subtle Liver Lesions at Pediatric CT: Performance and Confidence. Radiology. Imaging cancer, 1(1), e190027. https://doi.org/10.1148/rycan.2019190027
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
33778672
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article