Computer-based self-training for CT colonography with and without CAD
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To determine whether (1) computer-based self-training for CT colonography (CTC) improves interpretation performance of novice readers; (2) computer-aided detection (CAD) use during training affects learning.
Institutional review board approval and patients’ informed consent were obtained for all cases included in this study. Twenty readers (17 radiology residents, 3 radiologists) with no experience in CTC interpretation were recruited in three centres. After an introductory course, readers performed a baseline assessment test (37 cases) using CAD as second reader. Then they were randomized (1:1) to perform either a computer-based self-training (150 cases verified at colonoscopy) with CAD as second reader or the same training without CAD. The same assessment test was repeated after completion of the training programs. Main outcome was per lesion sensitivity (≥ 6 mm). A generalized estimating equation model was applied to evaluate readers’ performance and the impact of CAD use during training.
After training, there was a significant improvement in average per lesion sensitivity in the unassisted phase, from 74% (356/480) to 83% (396/480) (p < 0.001), and in the CAD-assisted phase, from 83% (399/480) to 87% (417/480) (p = 0.021), but not in average per patient sensitivity, from 93% (390/420) to 94% (395/420) (p = 0.41), and specificity, from 81% (260/320) to 86% (276/320) (p = 0.15). No significant effect of CAD use during training was observed on per patient sensitivity and specificity, nor on per lesion sensitivity.
A computer-based self-training program for CTC improves readers’ per lesion sensitivity. CAD as second reader does not have a significant impact on learning if used during training.
• Computer-based self-training for CT colonography improves per lesion sensitivity of novice readers.
• Self-training program does not increase per patient specificity of novice readers.
• CAD used during training does not have significant impact on learning.
KeywordsCT colonography Virtual colonoscopy Learning Education
European Society of Gastrointestinal and Abdominal Radiology
Generalized estimating equation
im3D (Turin, Italy) provided the CTC training software, six workstations with CAD and technical support for the study.
We acknowledge the CTC readers of the study who are radiologists and radiology residents from Radiology Units of Florence, Rome and Turin: Lina Bartolini, Rosanna Candreva, Federica Ciolina, Giacomo Gabbani, Marco Gatti, Angela Grasso, Maria Luisa Grognardi, Nicholas Landini, Simone Liberali, Viorica Maldur, Simona Martinello, Antonella Masserelli, Maria Antonietta Napoli, Vincenzo Noce, Giulia Scarpini, Giulia Schivazappa, Gian Giacomo Taliani, Virginia Vegni, Andrea Wlderk, Stefania Zuccherelli.
The authors state that this work has not received any funding.
Compliance with ethical standards
The scientific guarantor of this publication is Professor Daniele Regge.
Conflict of interest
Four authors of this manuscript (Loredanda Correale, Silvia Delsanto, Lia Morra, Daniela Sacchetto) declare relationships with the following company: im3D, Turin, Italy.
All other authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
Statistics and biometry
One of the authors has significant statistical expertise.
Written informed consent was obtained from all subjects in this study.
Institutional review board approval was obtained.
Study subjects or cohorts overlap
CTC cases for the assessment tests in this study were extracted from a previously published study (Iussich G, et al. Computer-aided detection for computed tomographic colonography screening: a prospective comparison of a double-reading paradigm with first-reader computer-aided detection against second-reader computer-aided detection. Invest Radiol. 2014;49:173–182).
• pmulticentre study
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