Countermeasure analysis on the education of large medical imaging equipment metrology for the major of Biomedical Engineering / 中华医学教育探索杂志

Based on the analysis of current situation of the metrological education of large medical imaging equipment in colleges and universities at home, the advantages of major of Biomedical Engineering (BME) and the internal relation with the requirement of personnel training of metrology were systematically investigated. The necessity of carrying out education of large medical imaging equipment metrology for BME students in colleges and universities was elucidated. The specific thoughts and countermeasures were also proposed from curriculum establishment, teaching design, textbook compilation, conditional construction and teaching staff, respectively. The study is hopeful to provide guidance and help for the education of the large medical imaging equipment metrology in colleges and universities.

Application of case-based learning in the image post-processing teaching of standardized training of medical imaging technology / 中华医学教育探索杂志

Objective:To explore the application effect of case-based learning (CBL) and lecture-based learning (LBL) in the teaching of image post-processing course in the standardized training system of medical imaging technology.Methods:A total of 34 trainees in the standardized training of imaging technology of Batch 2018 in West China Hospital of Sichuan University were divided into the experimental group and the control group according to their student numbers, with 17 students in each group. CBL teaching was carried out in the experimental group, and LBL teaching was carried out in the control group. According to the standardized training course design, after one year of image post-processing course teaching, the teaching effect was evaluated through closed-book examination, questionnaire survey and post-processing test. SPSS 20.0 was used for t-test and Mann-Whitney U test. Results:The scores of closed-book examinations (74.42±6.10) and post-processing test (73.47±6.03) in the experimental group were higher than those in the control group [(69.11±3.70) and (69.08±6.51)], and the difference was statistically significant ( P<0.05). The questionnaire survey showed that the students in the experimental group recognized CBL teaching in terms of learning interests stimulation, classroom atmosphere mobilization, clinical thinking cultivation, self-study ability training, and analysis of difficult and rare cases, etc. Conclusion:In the image post-processing course of standardized training of medical imaging technology, the rational application of CBL teaching mode is helpful to improve students' learning enthusiasm, self-learning ability, comprehensive analysis of clinical ability, practical ability, innovation consciousness and so on.

Multi-disciplinary open comprehensive training program in improving the post competency of medical imaging students / 中华医学教育探索杂志

Objective:To evaluate the teaching effect of multi-disciplinary integrated training program on the open comprehensive training room to improve the post competency of medical imaging students.Methods:A total of 122 residential students of five-year medical imaging from Batch 2014 of The First Affiliated Hospital of Chengdu Medical College were divided into experimental group and control group. The experimental group carried out the multi-disciplinary open comprehensive training program, and the control group carried out open-ended exercises. The comprehensive discipline theory examination, assessment of clinical thinking and comprehensive skill appraisal, and satisfaction questionnaire results were compared between the two groups. SPSS 23.0 was used for t test. Results:①Comprehensive discipline theory examination scores were higher in experimental group than the control group [(80.33±3.70) vs. (74.56±5.09)], with statistical differences ( P<0.05). ②Experimental group scored higher in clinical thinking and comprehensive skills than the control group did, and the difference was statistically significant [(87.58±3.15) vs. (74.52±3.66), P<0.05]. ③The questionnaire investigation showed that the experimental group students did better in improving autonomous learning ability, expression ability, the team cooperation ability, the ability to find and fix problems and the degree of self-esteem than control group, with statistically significant differences ( P<0.05). Conclusion:The multi-disciplinary open comprehensive training program has a good effect on optimizing the open-ended exercises. Students' knowledge of multi-disciplinary comprehensive theoretical knowledge and imaging skills have been improved, and the ability of teamwork, problem-solving ability, self-learning ability and innovation ability required by the core competence of the profession have been developed and improved, which meets the modern medical treatment of education "to create an educational platform of medical education collaboration and multi-disciplinary integration, and to cultivate students' innovative and autonomous learning."

The application of blended learning in clinical practice of college students majoring in medical imaging diagnosis / 中华医学教育探索杂志

Objective:To explore the application effect of blended learning in clinical practice of undergraduate students majoring in medical imaging diagnosis.Methods:A total of 60 undergraduate students majoring in medical imaging diagnosis who practiced in the Department of Radiology of Chongqing General Hospital from 2017 to 2019 were selected as subjects. The students were divided into experimental group and control group, each with 30 students. During the internship, the experimental group adopted the blended learning, including lecture-based learning, case-based learning, problem-based learning and team-based learning according to different teaching scenarios. While the control group adopted the traditional teaching mode. At the end of the internship, the test scores of the two groups of intern students were compared, and the satisfaction degree of the teaching was investigated by questionnaire. SPSS 19.0 was used to conduct t-test and Chi-square test. Results:The score of theoretical knowledge examination in the experimental group was (90.27±5.38) points, and that in the control group was (83.13±7.57) points. The difference between the two groups was statistically significant ( t=4.21, P<0.001). The score of imaging analysis examination in the experimental group was (90.07 ± 4.80) points, and that in the control group was (82.13±8.71) points. The difference between the two groups was statistically significant ( t=4.37, P<0.001). The results of the satisfaction survey showed that the overall satisfaction with teaching was 76.7% (23/30) in the experimental group and 50.0% (15/30) in the control group, with statistically significant difference ( χ2= 6.57, P=0.037). Conclusion:The blended learning has a good effect in the teaching of undergraduate students majoring in medical imaging diagnosis.

Application of knee joint imaging in bone age assement in adolescent children / 国际儿科学杂志

Bone age is a quantitative representation of the skeletal development pattern.X-ray imaging of the wrist with the Greulich-Pyle method is commonly used to assess bone age in clinic.In adolescent children, the sensitivity and specificity of the the Greulich-Pyle method are not sufficient because the bones of the wrist are already mature.In contrast, epiphyseal morphological changes in the knee joint throughout adolescence can provide information for the assessment of bone age in adolescent children, and the feasibility of knee joint bone age assessment has been verified.With the application of artificial intelligence (AI) in the medical field, the accuracy of AI interpretation of bone age is also recognized.One of the important uses of bone age assessment in adolescent children is to predict the remaining growth potential.Based on knee images, exploring the use of AI to build a model for predicting residual growth potential is a more meaningful research direction for clinical purposes.This paper reviews the anatomical characteristics of the knee joint, the application of knee joint imaging and the research progress of AI in bone age assessment.

Development and Application of Medical Imaging Analysis Platform Based on Radiomics and Machine Learning Technologies / 中国医疗器械杂志

OBJECTIVE@#In order to solve the technical problems, clinical researchers face the process of medical imaging analysis such as data labeling, feature extraction and algorithm selection, a medical imaging oriented multi-disease research platform based on radiomics and machine learning technology was designed and constructed.@*METHODS@#Five aspects including data acquisition, data management, data analysis, modeling and data management were considered. This platform provides comprehensive functions such as data retrieve and data annotation, image feature extraction and dimension reduction, machine learning model running, results validation, visual analysis and automatic generation of analysis reports, thus an integrated solution for the whole process of radiomics analysis has been generated.@*RESULTS@#Clinical researchers can use this platform for the whole process of radiomics and machine learning analysis for medical images, and quickly produce research results.@*CONCLUSIONS@#This platform greatly shortens the time for medical image analysis research, decreasing the work difficulty of clinical researchers, as well as significantly promoting their working efficiency.

Bone Age Assessment from Lateral Cephalograms Using Deep Learning Algorithms in the Indian Population

Purpose: The assessment of bone age has applications in a wide variety of fields: from orthodontics to immigration. The traditional non?automated methods are time?consuming and subject to inter? and intra?observer variability. This is the first study of its kind done on the Indian population. In this study, we analyse different pre?processing techniques and architectures to determine the degree of maturation (i.e. cervical vertebral maturation [CVM]) from cephalometric radiographs using machine learning algorithms. Methods: Cephalometric radiographs—labelled with the correct CVM stage using Baccetti et al. method—from 383 individuals aged between 10 and 36 years were used in the study. Data expansion and in?place data augmentation were used to handle high data imbalances. Different pre?processing techniques like Sobel filters and canny edge detectors were employed. Several deep learning convolutional neural network (CNN) architectures along with numerous pre?trained models like ResNet?50 and VGG?19 were analysed for their efficacy on the dataset. Results: Models with 6 and 8 convolutional layers trained on 64 × 64–size grayscale images trained the fastest and achieved the highest accuracy of 94%. Pre?trained ResNet?50 with the first 49 layers frozen and VGG?19 with 10 layers frozen to training had remarkable performances on the dataset with accuracies of 91% and 89%, respectively. Conclusions: Custom deep CNN models with 6–8 layers on 64 × 64–sized greyscale images were successfully used to achieve high accuracies to classify the majority classes. This study is a launchpad in the development of an automated method for bone age assessment from lateral cephalograms for clinical purposes.

PRINCIPLES OF MAGNETIC RESONANCE TECHNOLOGY IN MEDICAL IMAGING OF NON IONIZATION IMAGES

The X-ray tube is one of the most important components in any X-ray system. In the beginning, physicists and physicians used gas ion tubes. The so-called Coolidge tube applied a high vacuum and is still used today. Medical examinations have required continuously improved designs of X-ray tubes (smaller focal spots at a higher output). The principle of the Goetze line focus is still applied in any diagnostic X-ray tube. Different anode materials and the rotating anode contributed to an increased output and reduced exposure time. Bearings needed special attention. Spiral groove bearings are the most advanced design today. The heat storage capacity of the anode and the tube housing assembly influences examination time and patient throughput. Cardiac imaging required less motion blurring in cine film images and increasing radiation exposure in interventional procedures called for measures to reduce dose. Protection against radiation and electric shock has always been a concern of design engineers. Focal spot sizes dedicated to specific applications and heat management within the total tube housing assembly will be future issues. Even with the event of ultrasound and MR technology, X-ray procedures will still be applied for diagnostic and interventional purposes.

The application and value of imaging cloud platform in medical imaging practice teaching / 中华医学教育探索杂志

Objective:To explore the impact of applying the imaging cloud platform to medical imaging practice teaching on diagnostic thinking ability and learning experience of students.Methods:Eighty-eight students of Batch 2016 from the Department of Medical Imaging of Chongqing Medical University were randomly divided into two groups, with 44 students in each group. The experimental group was taught by the imaging cloud platform, and the control group was taught by traditional practice. Differences in diagnostic thinking ability and learning experience were compared between the two groups after 4 weeks. SPSS 22.0 was used for t-test. Results:The total score of the diagnostic thinking ability test in the experimental group was higher than that in the control group [(80.63±6.10) vs. (70.36±8.09)], and the difference was statistically significant ( P<0.05). There were statistically significant differences in the scores of three items: description of signs, differential diagnosis and key points, and new progresses and recommendations ( P<0.05). For the five aspects of the learning experience in the questionnaire survey, the scores of the experimental group were higher than those of the control group, and all the differences were statistically significant ( P<0.05). Conclusion:The application of imaging cloud platform in imaging practice teaching has important value in improving diagnostic thinking ability and learning experience of students, and it is worthy of practice and promotion.

Progress in Precision Medicine of Radiomics in Abdominal Tumors Practice / 中国医疗器械杂志

With the advent of the era of artificial intelligence, as an emerging technology, radiomics can extract a large amount of quantitative information describing the physiological condition and phenotypic characteristics of tumors with high throughput from the massive data of CT, MRI and other imaging tomography, and analyze these high-dimensional imaging omics features containing disease pathophysiological information can be used to accurately determine tumor differentiation, staging, and predict tumor behavior, which has broad application prospects. This article aims to introduce the technical principles of radiomics and its abdominal tumor application status, and to prospect its application prospects in pediatric abdominal neuroblastoma.

Exploration of the online and offline mixed teaching mode of Medical Imaging / 中华医学教育探索杂志

Based on the online course of Medical Imaging, the online and offline mixed teaching mode is an important reform against the traditional teaching mode. Combining the teaching reform experience of Chongqing Medical University, this paper introduces the resource construction of the online teaching platform of Medical Imaging, the construction of the online and offline mixed teaching mode (including the overall reconstruction design of the online and offline teaching content, and the organic integration of the online and offline teaching content before, during and after class), the details of teaching implementation (taking ischemic cerebral infarction as an example), the teaching efficiency, the existing problems and related improvement measures. The preliminary practice shows that it has great significance in enhancing the teaching quality since it can break through time and space constraints, expand teaching space, effectively stimulate students' learning autonomy, enhance their practical skills, increase the communication and interaction between teachers and students, and improve the teaching effect.

Application of case-based learning combined with problem-based learning teaching model in refresher training of medical imaging technologists / 中华医学教育探索杂志

Objective:To explore the application effect of case-based learning (CBL) combined with problem-based learning (PBL) teaching model in refresher training of medical imaging technologists.Methods:The study recruited 46 imaging technologists trained in radiology department in the Batch 2017 and Batch 2018 of West China Hospital of Sichuan University. They were divided into 2 groups: experimental group (23 persons) and control group (23 persons). CBL combined with PBL teaching method was used in the experimental group, and traditional lecture-based learning (LBL) method was used in the control group. The results of attitude evaluation, staged exminations, graduation assessment and operational skill tests were compared between the two groups, and the questionnaire survey was performed to test the affirmation of self-worth of the two groups of interns. SPSS 17.0 was used for chi-square test, independent t test, and Mann-Whitney U test. Results:Theoretical examination results at the second stage, the third stage, completion and operational examination results in the experimental group were significantly higher than those in the control group [(91.17±2.59) vs. (85.26±3.03), (92.00±1.86) vs. (87.43±3.23), (92.39±2.08) vs. (87.04±2.93), (85.70±5.48) vs. (80.87±5.57), P<0.05]. The questionnaire survey showed that such 7 aspects as the stimulation of subject interest, the cultivation of exploration spirit, the exercise of self-learning ability, the establishment of clinical ideas, the analysis of difficult problems, the mastering of practical operations, and the affirmation of self-worth in the experimental group were better than those in the control group, with significant difference ( P<0.05), while the consolidation of theoretical knowledge of the experimental group was not statistically different from the control group ( P>0.05). Conclusion:The reasonable application of CBL combined with PBL teaching model in refresher training of medical imaging technologists is helpful to improve their learning enthusiasm, self-learning ability, clinical analysis ability, practical operation ability, and long-term consolidation of theoretical knowledge.

Exploration on teaching and experiment reform of medical imaging technology course from the perspective of "Internet Plus-based teaching diagnosis and reform" / 中华医学教育探索杂志

Medical imaging technology course has the characteristics of strong professionalism, complicated content to understand, and quickly updated knowledge. In traditional teaching mode, it takes teachers a lot of time to prepare lessons, and the teaching tools are limited like only taking use of blackboard, model and wall maps, which not only makes teaching content boring but also hardly stimulates students' initiative. Teaching reform of medical imaging technology courses from the perspective of "Internet Plus-based teaching and diagnosis reform" involves teaching content, teaching concept, teaching mode, teaching evaluation and experiments, etc., in which computer-aided teaching, flipped classroom, micro-course and high-quality resource-sharing course are used to increase experimental content, reform experimental teaching methods, and create "real-situation" experimental environment as well as other teaching diagnosis and reform measures, aiming to explore a new teaching pattern that meets the development of students majoring in medical imaging technology and the demand for social talents.

Application of online teaching in the teaching of medical imaging diagnostics / 中华医学教育探索杂志

Objective:To explore the application and effectiveness of online teaching in the teaching of medical imaging diagnostics.Methods:A total of 134 undergraduate students of Medical Imaging Technology Department of Chongqing Medical University in Batch 2016 and Batch 2017 were selected as the research objects. They were divided into control group and experimental group with 67 students in each group. The experimental group adopted the online teaching mode based on Xuexitong and Tencent Meeting learning platforms; while the control group adopted the traditional teaching mode. The final grades of two groups were compared, and self-made questionnaires were anonymously investigated, so as to realize the evaluation of online teaching effects. SPSS 21.0 was used for rank sum test.Results:The qualification rate of final results in the experimental group and control group were respectively 80.6% (54/67) and 64.2% (43/67). The qualification rate of final results in the experimental group students was significantly better than that of the control group ( P<0.05). A total of 134 survey questionnaires were distributed and all recovered. The survey questionnaires showed that experimental group was superior to the control group in self-learning ability, analyzing and solving problems ability, communication skills, interest and enthusiasm in learning ( P<0.05). Conclusion:The online teaching is conducive to improving the qualification rate of final results, self-learning ability, analyzing and solving problems ability, communication skills, interest and enthusiasm in learning for the teaching of medical imaging diagnostics, which has good teaching effects and qualities and is of great promotion significance.

Research on the application of "combination of virtuality and reality" practical teaching in Medical Imaging Equipment / 中华医学教育探索杂志

Objective:To explore the application effect of the "combination of virtuality and actuality" practical teaching on Medical Imaging Equipment. Methods:The 2018 medical imaging technology students of Qiqihar Medical University were taken as the observation group, and the study adopted teaching method of "combination of virtuality and reality" in the practical teaching of Medical Imaging Equipment, including in-kind visit teaching (8 learning hours), experimental box circuit measurement teaching (20 learning hours) and virtual simulation teaching (16 learning hours). Besides, the 2017 medical imaging major students (control group) did not conduct virtual simulation teaching. The teaching effect and student achievement were compared between the two groups, and SPSS 17.0 was used to conduct t test and chi-square test. Results:There was significantly improvement in the practical performance of the students in the observation group compared with the control group ( t=6.44, P=0.007); the teaching satisfaction of the two groups was significantly improved ( χ2=5.25, P=0.022), and the teaching satisfaction degree was 100%. Conclusion:The teaching method of "combination of virtuality and reality" can effectively improve students' hands-on ability, strengthens their cognition of abstract principles, and solves the problems of equipment failure analysis, disassembly and installation of large-scale equipment that cannot be completed in physical teaching.

A survey report on the application status of artificial intelligence in medical imaging in China / 中华放射学杂志

Objective:To explore the current status of the artificial intelligence (AI) developments in medical imaging in China, and to provide data for the development of AI.Methods:In May 2022, the Radiology Branch of the Chinese Medical Association and the China Medical Imaging AI Industry-University-Research Innovation Alliance jointly launched a nationwide survey on the application status and development needs of medical imaging AI in China in the form of a questionnaire. This survey was carried out for different groups of people, focusing on the clinical applications of medical imaging AI, enterprise development, and educational needs in colleges and universities, with the descriptive statistical analysis performed.Results:China′s medical imaging AI has made great progress in clinical applications, in enterprise developments, as well as in the education and teaching areas. In terms of clinical application, 90.8% (5 765/6 347) of the survey respondents had a preliminary understanding of AI. There were 62.1% (3 798/6 119) doctors confirmed the applications medical imaging AI products in their departments. AI products were applied in the whole process of medical imaging examination, especially in assistance of the diagnosis. The application of pulmonary nodules screening accounted for 89.5% (3 401/3 798) of all medical imaging AIs. The main factors restricting the rapid development of medical imaging AI included lack of experts [47.3% (3 002/6 347)], poor data quality [45.7% (2 898/6 347)] and imperfect function of the products [40.4% (2 566/6 347)]; in terms of enterprises, there were 65.4% enterprises with a scale of less than 100 employees (17/26), and 34.6% with a scale of more than 100 employees (9/26). The main group of the customers were the hospitals above the second level, accounting for about 92.3% (24/26); in terms of education, the number and quality of AI courses, practical operations and lectures currently carried out by schools vary between different levels. The AI courses for graduated students accounted for about 22.5% (86/381), which were the largest in number; while the proportion of AI courses for junior college students, undergraduates and regular trainees were less than 15%. More than 60% of the students thought it necessary for schools to establish AI courses. Among all the students, the master′s and doctoral candidates had the greatest demand for additional AI courses [84.8% (323/381)].Conclusions:The development and popularization of medical imaging AI in China continues to prosper, with opportunities and challenges coexisting. It is necessary to adhere to the orientation of clinical needs, and to realize the coordinated development of clinical application, enterprise development, as well as education and teaching.

Analysis and Enlightenment of Foreign Open Breast Image Datasets / 中国医学科学院学报

With the upsurge of medical artificial intelligence,the use of computer vision technology to study medical images,which can effectively help doctors to identify and screen diseases,has become a focus of researchers.This paper summarizes the basic situation,specific information,related research,and data sharing and utilizing ways of foreign breast image datasets.This review provides inspirations for the opening of Chinese medical and health data.

Research and application progress of implementing virtual and augmented reality technology in Medical Imaging education / 中华医学教育探索杂志

Advances in virtual and augmented reality technology have shown its potential for medical education and clinical application. The purpose of this review is to summarize how medical colleges and universities have explored in virtual and augmented reality technology for Medical Imaging in China and other countries. Applications of virtual and augmented reality technology for diagnostic radiology education can enrich the teaching contents, expand the space and time of teaching, and help students in analysis and diagnosis. In interventional radiology education, students can experience the medical environment which is close to the real one, simulate the surgical process, optimize the teaching resources and improve the teaching quality. With the comprehensive utilization of the Internet, big data, artificial intelligence and new computer technologies, virtual and augmented reality technology will bring a new revolution to future medical education.

Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers / 中国医学科学杂志(英文版)

Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women's cancer. In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to multiple clinical scenarios of ovarian cancer, especially in the field of medical imaging. AI-assisted imaging studies have involved computer tomography (CT), ultrasonography (US), and magnetic resonance imaging (MRI). In this review, we perform a literature search on the published studies that using AI techniques in the medical care of ovarian cancer, and bring up the advances in terms of four clinical aspects, including medical diagnosis, pathological classification, targeted biopsy guidance, and prognosis prediction. Meanwhile, current status and existing issues of the researches on AI application in ovarian cancer are discussed.

Application of flipped classroom combined with film reading of the case in the practice teaching of imaging diagnosis / 中华医学教育探索杂志

Objective:To evaluate the effect of film reading of the case based on flipped classroom in the teaching of medical imaging interns.Methods:Forty undergraduates majoring in medical imaging technology in Kangda College of Nanjing Medical University were selected as the research objects, and they were randomly divided into group A (experimental group) and group B (control group). The flipped classroom teaching of imaging performance of "basic chest lesions" was conducted respectively in the two groups, and group A conducted film reading of the case on the flipped classroom. The scores of written test and film reading of the two groups were compared, and the differences of students' subjective feelings were analyzed by questionnaires. SPSS 20.0 was used for chi-square test and t test. Results:The scores of written test and film reading in group A [(87.32±8.11) points and (85.54±5.23) points] were higher than those in group B [(81.20±9.76) points and (79.03±6.01) points], with statistical significance ( P<0.05). The seven subjective evaluations of group A were higher than those of group B, with statistical significance ( P<0.05). Conclusion:Film reading of the case based on flipped classroom can stimulate students' interest in learning and cultivate their clinical practice ability and critical thinking, which is an effective teaching mode.