Improvement of skills and knowledge by a hands-on cardiac CT course: before and after evaluation with a validated questionnaire and self-assessment

Rofo. 2010 Jul;182(7):589-93. doi: 10.1055/s-0028-1109950. Epub 2010 Jan 18.


Purpose: Cardiac computed tomography (CT) is becoming increasingly important in noninvasive imaging. To meet this demand, there are a growing number of short training courses for cardiac CT. Whether such courses improve the knowledge and skills of participants is not known.

Materials and methods: The concept of a two-day cardiac CT course consisting of introductory lectures, live patient examinations, and hands-on exercises for interpreting cardiac CT scans on workstations was analyzed using participant evaluations (scales from 1=excellent to 6=very poor). Participants rated their increase in knowledge and completed a validated questionnaire with 20 questions.

Results: A total of 102 participants attended the courses. There were significant differences in the number of correctly answered test questions between cardiac CT experts and participants at the beginning of the course (91.5+/-6.3 % vs. 62.4+/-16.1% p<0.001). The number of questions answered correctly by the participants increased significantly after completion of the course (mean increase of 4 correctly answered questions, 81.8+/-11.4%. vs. 62.4+/-16.1% p<0.001). This objective increase in knowledge was in good agreement with participant self-assessments (76.4+/-12.6% vs. 81.8+/-11.4%). The quality of the course received good to very good scores, ranging from 1.8+/-0.7 for speed of presentation to 1.4+/-0.5 for lecturer competence. The score for overall course quality was 1.4+/-0.6.

Conclusion: A relatively short cardiac CT course can significantly improve the quantifiable knowledge of participants. The overall quality of the course was rated as very good.

MeSH terms

  • Adult
  • Artificial Intelligence
  • Attitude of Health Personnel*
  • Clinical Competence*
  • Curriculum
  • Education*
  • Education, Medical, Continuing
  • Female
  • Germany
  • Heart Diseases / diagnostic imaging*
  • Humans
  • Image Processing, Computer-Assisted
  • Internship and Residency
  • Male
  • Middle Aged
  • Radiology / education*
  • Software
  • Specialty Boards
  • Surveys and Questionnaires*
  • Tomography, X-Ray Computed*