Research progress on medical imaging techniques for diagnosis of breast tumors / 中国辐射卫生

Breast cancer is the most common malignancy and the fifth leading cause of cancer-associated mortality in the world, which has become a major global health concern with huge economic, social, and disease burdens. Early diagnosis is crucial for effective treatment and favorable prognosis of breast cancer. Medical imaging techniques can provide a variety of clinical information on the morphology, structure, metabolism, and function of tumor tissues in real-time, tissue damage-free, and minimally invasive manners, which have been widely used and hold great value for breast tumor screening and early diagnosis. This review summarizes the advances on the diagnostic value of medical imaging tools for breast tumors, including ultrasonography, computed tomography, magnetic resonance imaging, positron emission tomography/computed tomography, and breast-specific gamma imaging.

A Research on data-driven operation and maintenance management mode of large-scale medical imaging equipment / 中国医学装备

Objective:To build a data-driven operation and maintenance management model for large-scale medical imaging equipment,and to analyze its application value in medical equipment management.Methods:The data-driven operation and maintenance management mode of large-scale medical imaging equipment was composed of operation and maintenance management mode architecture,equipment health status monitoring management platform architecture,historical data fault diagnosis model architecture and operation and maintenance management.16 medical imaging equipment in clinical use in Chengdu Public Health Clinical Medical Center from January 2020 to February 2022 were selected,and the traditional medical imaging equipment operation and maintenance management mode(referred to as traditional mode)and data-driven large-scale medical imaging equipment operation and maintenance management mode(referred to as data-driven mode)were adopted respectively for management according to different management modes.The imaging effect of equipment image,the frequency of equipment failure,the cost effectiveness of equipment and the satisfaction score of equipment management personnel were compared between the two management modes.Results:The scores of accuracy of diagnosis results,accuracy of patient information,image position qualification rate,image clarity,image pass rate,image quality rate and total image imaging score of the data-driven model were(9.78±1.25)points,(9.88±1.11)points,(9.54±1.08)points,(9.66±1.27)points and(9.83±1.43)points,(9.86±1.63)points and(58.55±1.44)points,respectively,which were higher than those in the traditional mode,the difference was statistically significant(t=4.958,5.268,6.522,4.327,9.765,3.923,21.474,P<0.05).The self-repair and human-made failures occurred 22 times and 10 times respectively in the data-driven model,which were lower than those of the traditional model,and 24 times of long-term use faults,which was higher than that of the traditional model,the difference was statistically significant(x2=4.363,4.294,18.692,P<0.05).The satisfaction scores of radiologists,equipment maintenance personnel,imaging technicians and patients with the data-driven mode were(94.52±6.15)points,(91.19±5.35)points,(89.27±4.93)points and(92.24±5.51)points,respectively,which were higher than those of the traditional mode,the difference was statistically significant(t=6.504,5.534,6.821,9.556,P<0.05).Conclusion:The operation and maintenance management mode based on data driven of large medical imaging equipment can improve the imaging quality of imaging equipment,reduce the incidence of failure,reduce equipment maintenance and maintenance costs,and improve user satisfaction.

Scientificity, transparency and applicability of Chinese guidelines and consensuses in medical imaging published in 2022 / 中华放射学杂志

Objective:To evaluate the scientificity, transparency and applicability of the Chinese guidelines and consensuses in medical imaging published in 2022 by the STAR scale.Methods:Medical imaging guidelines and consensuses were searched in CNKI, Wanfang data, CMB, Chinese Medical Journal Network, and Medline (PubMed). The publication date was selected from January 1 to December 31, 2022. Each guideline or consensus was independently evaluated and cross-checked by two evaluators using STAR scale.Results:A total of 65 guidelines and consensus that were published as Chinese or English were included, including 15 guidelines and 50 consensuses. Some guidelines and consensus have distinct disciplinary characteristics with topics such as artificial intelligence (4 articles) and Evidence-Based Medical Imaging-Medical Imaging Clinical Appropriateness (EB-MICA, 4 articles). In all guidelines and consensuses, the highest score was 89.9, the lowest was 3.6, and the M( Q1, Q3) was 25.0 (20.8, 35.4). There was no statistical difference in the scores of guidelines and consensuses ( P=0.383). The highest scoring areas were recommendation opinions (reporting rate of 56.0%), working groups (reporting rate of 38.2%), and clinical issues (reporting rate of 36.7%), while the lowest scoring areas were proposal (reporting rate of 9.6%), registration (reporting rate of 10.8%), and consensus methods (reporting rate of 21.8%). Conclusion:It is recommended that guidelines and consensuses initiators of medical imaging strengthen the learning of evidence-based medicine methods, such as STAR tools, in order to further improve the quality of guidelines and consensuses of medical imaging.

Fotografía, medicina y corporalidad: el dispositivo de la imagen en las formas de aprehensión discursiva de la enfermedad / Photography, medicine and corporeality: the device of the image in the forms of discursive apprehension of the disease

Resumen Estudiar y reflexionar sobre la enfermedad es poner de relieve las formas de ver y decir acerca de lo que puede un cuerpo y su potencia de ser afectado ante las huellas o vestigios que lo degradan. Este artículo expone los soportes epistemológicos de una investigación sobre las representaciones sociales (en la que se inscribe el saber médico) de la enfermedad desde el registro de la dermatología clínica durante la segunda mitad del siglo XIX. Para esto, se recurrió a un análisis de fotografías médicas conservada en archivos de Colombia y España y como horizonte discursivo las formas de ver y decir la enfermedad que tiene efectos deformantes en el cuerpo.

Abstract To study about and reflect on the disease is to highlight the ways of seeing and saying what can a body and its power to be affected before fingerprints or traces that degrade it. This article exposes epistemological research on social representations brackets (where register know doctor) disease from the registry of Clinical Dermatology in the second half of the 19th century. This is resorted to an analysis of medical photographs preserved in archives of Colombia and Spain taking as discursive forms of seeing and saying the disease who have disfiguring effects in the body.

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.

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.

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."

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.

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.

Research progress in medical imaging methods based on magnetoacoustic effect / 国际生物医学工程杂志

Electrical property imaging based on the magnetoacoustic effect has the advantages of non-invasiveness, high contrast, and high spatial resolution, making it a promising technique for early disease diagnosis. In this paper, the representative research progress of three magnetoacoustic multi-physical field coupled methods are reviewed, including magnetoacoustic tomography combined with magnetic induction (MAT-MI), magnetoacoustic tomography combined with current injection (MAT-CI), and magneto-acousto-electrical tomography (MAET). Additionally, the future development of these techniques is also discussed.

Research progress in early-stage lung cancer risk assessment methods based on artificial intelligence / 国际生物医学工程杂志

Lung cancer is one of the most serious malignant tumors threatening human health. Early detection and accurate risk assessment are crucial for improving the survival rate and prognosis of lung cancer patients. In this review paper, the research progress in early-stage lung cancer risk assessment methods based on predictive factors and medical imaging was summarized. The results indicated that by utilizing more diverse machine learning algorithms and larger-scale datasets, independent risk prediction factors can be further mined to achieve an accurate assessment of individual lung cancer risk.

Teaching discussion on improving post competence of medical imaging major students based on non-standardized assessment teaching mode / 现代医院

With the great development of medical education reform,clinical competency has become the requirements and goal of talent training in Medical Imaging in medical universities within and beyond China.The aim of this article is to review the role of non-standardized assessment at raising students'clinical competency in the course of Diagnostic Medical Imaging in our university.To achieve the goal of reinforcing student's thought of medical imaging and their clinical competency,building up high-quality educational evaluation system,strengthening the teaching faculty,facilitating the combination of theory teaching and practice teaching,improving the practice ability and the awareness of services after their formal induction,and therefore cultiva-ting effective and practical medical imaging talents for our nation.

Research progress on the identification of central lung cancer and atelectasis using multimodal imaging / 生物医学工程学杂志

Central lung cancer is a common disease in clinic which usually occurs above the segmental bronchus. It is commonly accompanied by bronchial stenosis or obstruction, which can easily lead to atelectasis. Accurately distinguishing lung cancer from atelectasis is important for tumor staging, delineating the radiotherapy target area, and evaluating treatment efficacy. This article reviews domestic and foreign literatures on how to define the boundary between central lung cancer and atelectasis based on multimodal images, aiming to summarize the experiences and propose the prospects.

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.

Exploring the Value of Al Image Management Path System under the Background of Balanced Layout of Medical Resources / 中国医院管理

The Department of Radilogy of Peking University Cancer Hospital collaborated with the AI technology team to carry out top-level design and establish an AI based medical imaging management optimization path system during 2021-2022;This system can meet the needs of intelligent diagnosis and treatment,scientific research man-agement,teaching management,operation management,and assessment warning.It preliminarily demonstrates the value and role of this system in quickly providing homogeneous and high-quality diagnosis and treatment services,improving management service efficiency and quality,and improving clinical research and teaching capabilities.It is of great significance for areas with scarce high-quality medical resources and underdeveloped grassroots areas with weak medical diagnosis and treatment capabilities.The establishment of this AI based medical imaging management optimization path system provides a high-quality tool for the expansion and sinking of high-quality medical resources and regional balanced layout work,and has good prospects for promotion and application.

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.

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.

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.