1.Peyton's Four-Step Teaching Method for Intestinal Ultrasound Training: Efficacy and Practical Implications
Zihan NIU ; Xiaoyan ZHANG ; Zhaojue WANG ; Qingli ZHU ; Mengsu XIAO ; Li MA ; Yudi HE ; Wenbo LI
Medical Journal of Peking Union Medical College Hospital 2026;17(2):591-596
To evaluate the application value of the Peyton four-step teaching method in the standardized training of intestinal ultrasound and compare it with traditional teaching methods, so as to provide an optimized approach for clinical ultrasound training. Participants from the Department of Ultrasound at Peking Union Medical College Hospital between September 2024 and March 2025 were randomly assigned to either the traditional group or Peyton group. The traditional group followed the conventional "lecture- demonstration-practice" model, while the Peyton group implemented the standardized "demonstration-deconstruction-comprehension-execution" four-step approach. All training focused on standard intestinal ultrasound scanning techniques. After the training, the operational skills were independently evaluated by the instructors. To verify the reproducibility of the teaching method, the participants in traditional teaching group received additional Peyton method training after the initial assessment and underwent a second evaluation. A total of 18 participants were included in this study, with 9 in the traditional teaching group and 9 in the Peyton teaching group. Participants in the Peyton group demonstrated significantly higher scores than those in the traditional group at every anatomical site assessed (all The Peyton four-step method is significantly more effective than traditional teaching in improving residents' intestinal ultrasound skills, demonstrating its suitability as the preferred approach for standardized training programs.
2.Advances and Clinical Application of Malignant Probability Prediction Models for Solitary Pulmonary Nodule.
Zhaojue WANG ; Jing ZHAO ; Mengzhao WANG
Chinese Journal of Lung Cancer 2021;24(9):660-667
With the popularization of computed tomography (CT) examinations, the incidence of solitary pulmonary nodules (SPNs) has increased significantly. The assessment of benign and malignant pulmonary nodules is crucial to the diagnosis and treatment of lung nodules. Many models for predicting the malignant probability of lung nodules have been developed. These models assess the malignant probability of lung nodules based on the clinical and imaging characteristics of patients. In recent years, malignant probability prediction models have gradually attracted attention in China. Based on the researches on the malignant probability prediction model of pulmonary nodule, focusing on the establishment or verification of the model in the Chinese patient population, this paper reviews the research progress and clinical application of the malignant probability prediction model of pulmonary nodule, and proposes ideas for the future development.
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