
The American Board of Radiology (ABR) has qualified a new free program on quality improvement in pediatric CT as fulfilling the ABR's maintenance of certification (MOC) requirements for diagnostic radiologists.
The ABR said that the course, titled Image Gently: Practice Quality Improvement (PQI) in Computed Tomography (CT) Scans in Children, fulfills part IV of the Assessment of Performance in Practice section of the MOC requirements.
The program was authored by Dr. Marilyn Goske, chair of the Alliance for Radiation Safety in Pediatric Imaging, and co-authors at Cincinnati Children's Hospital, with funding from the Society for Pediatric Radiology's Research and Education Foundation.
The online learning module will enable radiologists to assess their current pediatric CT practice and develop and implement a quality improvement program based on the scientific evidence provided within the module.
Related Reading
IAEA study finds that interventional dose may be too high, August 5, 2009
NFQ report endorses Image Gently campaign, March 30, 2009
Image Gently organizers look ahead on one-year anniversary: Part 1, February 9, 2009
Image Gently campaign targets parents for 2009 initiative, February 3, 2009
Copyright © 2009 AuntMinnie.com










![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)








