[Digital Breast Tomosynthesis Quality Control Manual Overview].

Recently, mammography systems equipped with digital breast tomosynthesis (DBT) have become widely used in Japan. Therefore, it is urgently necessary to establish a quality control method for DBTs. So far, we have been studying acceptance tests for DBTs with reference to EUREF. In 2020, IEC 61223-3-6 was published, which provides not only acceptance tests but also constancy test methods. Therefore, we conducted data collection using DBTs sold in Japan and examined the feasibility of conducting constancy tests. Although there were some items that were difficult to implement in each device, we were able to confirm quality control items that could be implemented in many devices. In addition, we were able to confirm routine tests that enable rapid evaluation. Based on these results, we have developed a "Digital Breast Tomosynthesis Quality Control Manual". In this paper, we report an overview of the manual and the results of routine tests.

Effectiveness of an e-Learning Platform for Image Interpretation Education of Medical Staff and Students.

Medical staff must be able to perform accurate initial interpretations of radiography to prevent diagnostic errors. Education in medical image interpretation is an ongoing need that is addressed by text-based and e-learning platforms. The effectiveness of these methods has been previously reported. Here, we describe the effectiveness of an e-learning platform used for medical image interpretation education. Ten third-year medical students without previous experience in chest radiography interpretation were provided with e-learning instructions. Accuracy of diagnosis using chest radiography was provided before and after e-learning education. We measured detection accuracy for two image groups: nodular shadow and ground-glass shadow. We also distributed the e-learning system to the two groups and analyzed the effectiveness of education for both types of image shadow. The mean correct answer rate after the 2-week e-learning period increased from 34.5 to 72.7%. Diagnosis of the ground glass shadow improved significantly more than that of the mass shadow. Education using the e-leaning platform is effective for interpretation of chest radiography results. E-learning is particularly effective for the interpretation of chest radiography images containing ground glass shadow.