Literature DB >> 33778672

A Simulation Paradigm for Evaluation of Subtle Liver Lesions at Pediatric CT: Performance and Confidence.

Jennifer S Ngo1, Justin B Solomon1, Ehsan Samei1, Taylor Richards1, Lawrence Ngo1, Alaattin Erkanli1, Bohui Zhang1, Brian C Allen1, Joseph T Davis1, Amrita Devalapalli1, Raymond Groller1, Daniele Marin1, Charles M Maxfield1, Vishwan Pamarthi1, Bhavik N Patel1, Gary R Schooler1, Donald P Frush1.   

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 (P < .001). The mean confidence of the full-dose and 25% dose reduction examinations was significantly higher than that of the 50% dose reduction examinations (P = .011 and .012, respectively) but not different from one another (P = .866). Dose was not a significant predictor of time to complete each case, and subspecialty was not a significant predictor of sensitivity or false-positive results.
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.Keywords: Abdomen/GI, CT, Liver, Observer Performance, Pediatrics, Perception Image© RSNA, 2019. 2019 by the Radiological Society of North America, Inc.

Entities:  

Year:  2019        PMID: 33778672      PMCID: PMC7983686          DOI: 10.1148/rycan.2019190027

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  17 in total

1.  Automated Technique to Measure Noise in Clinical CT Examinations.

Authors:  Olav Christianson; James Winslow; Donald P Frush; Ehsan Samei
Journal:  AJR Am J Roentgenol       Date:  2015-07       Impact factor: 3.959

2.  Variables affecting pulmonary nodule detection with computed tomography: evaluation with three-dimensional computer simulation.

Authors:  D P Naidich; H Rusinek; G McGuinness; B Leitman; D I McCauley; C I Henschke
Journal:  J Thorac Imaging       Date:  1993       Impact factor: 3.000

3.  Computer-simulated radiation dose reduction for abdominal multidetector CT of pediatric patients.

Authors:  Donald P Frush; Christopher C Slack; Caroline L Hollingsworth; George S Bisset; Lane F Donnelly; Jiang Hsieh; Trudy Lavin-Wensell; John R Mayo
Journal:  AJR Am J Roentgenol       Date:  2002-11       Impact factor: 3.959

4.  Prevalence and importance of small hepatic lesions found at CT in patients with cancer.

Authors:  L H Schwartz; E J Gandras; S M Colangelo; M C Ercolani; D M Panicek
Journal:  Radiology       Date:  1999-01       Impact factor: 11.105

5.  The frequency and significance of small (less than or equal to 15 mm) hepatic lesions detected by CT.

Authors:  E C Jones; J L Chezmar; R C Nelson; M E Bernardino
Journal:  AJR Am J Roentgenol       Date:  1992-03       Impact factor: 3.959

6.  The use of computed tomography in pediatrics and the associated radiation exposure and estimated cancer risk.

Authors:  Diana L Miglioretti; Eric Johnson; Andrew Williams; Robert T Greenlee; Sheila Weinmann; Leif I Solberg; Heather Spencer Feigelson; Douglas Roblin; Michael J Flynn; Nicholas Vanneman; Rebecca Smith-Bindman
Journal:  JAMA Pediatr       Date:  2013-08-01       Impact factor: 16.193

7.  Variation in Utilization of Computed Tomography Imaging at Tertiary Pediatric Hospitals.

Authors:  Daniel L Lodwick; Jennifer N Cooper; Kelly J Kelleher; Richard Brilli; Peter C Minneci; Katherine J Deans
Journal:  Pediatrics       Date:  2015-11       Impact factor: 7.124

8.  Increasing utilization of computed tomography in the pediatric emergency department, 2000-2006.

Authors:  Joshua Broder; Lynn Ansley Fordham; David M Warshauer
Journal:  Emerg Radiol       Date:  2007-05-16

9.  Diagnostic reference ranges for pediatric abdominal CT.

Authors:  Marilyn J Goske; Keith J Strauss; Laura P Coombs; Keith E Mandel; Alexander J Towbin; David B Larson; Michael J Callahan; Kassa Darge; Daniel J Podberesky; Donald P Frush; Sjirk J Westra; Jeffrey S Prince
Journal:  Radiology       Date:  2013-03-19       Impact factor: 11.105

10.  A survey of resilience, burnout, and tolerance of uncertainty in Australian general practice registrars.

Authors:  Georga P E Cooke; Jenny A Doust; Michael C Steele
Journal:  BMC Med Educ       Date:  2013-01-07       Impact factor: 2.463

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