Journal of Medical Imaging and Radiation Oncology最新文献

{"title":"The Australian National Lung Cancer Screening Program: A Radiologist's Perspective.","authors":"Samantha J Ellis, Mark W McCusker, Stephen Melsom, Diane M Pascoe, Catherine M Jones, Miranda Siemienowicz","doi":"10.1111/1754-9485.70012","DOIUrl":"https://doi.org/10.1111/1754-9485.70012","url":null,"abstract":"<p><p>On July 1, 2025, Australia commenced screening eligible participants in a ground-breaking health initiative with the launch of a national lung cancer screening program (NLCSP). Designed for individuals at high risk, this program aims to promote early detection and improve both survival rates and treatment outcomes. Radiology will serve as a cornerstone of the program's success. This article provides a comprehensive overview from the radiologist's perspective.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144859222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Salvage Radiation Therapy for Localised Prostate Cancer Recurrence Following High-Intensity Focused Ultrasound (HIFU) Failure","authors":"Atsuto Katano,&nbsp;Masanari Minamitani,&nbsp;Subaru Sawayanagi,&nbsp;Hideomi Yamashita","doi":"10.1111/1754-9485.70009","DOIUrl":"10.1111/1754-9485.70009","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Prostate cancer is a prevalent malignancy with rising incidence rates globally. High-intensity focused ultrasound (HIFU) is a promising, minimally invasive treatment for localised prostate cancer. However, recurrence following HIFU, indicated by rising PSA levels or imaging-confirmed local recurrence, remains a concern. Salvage radiotherapy is a potential treatment for recurrent prostate cancer post-HIFU, but evidence on its efficacy and safety is limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>This retrospective study evaluated eight patients with localised prostate cancer who underwent salvage radiotherapy following HIFU failure. Salvage treatment consisted of external beam radiation therapy (EBRT), delivered either as conventional fractionation (76 Gy in 38 daily fractions) or stereotactic ablative radiotherapy (36.25–40 Gy in five alternate-day fractions). Outcomes assessed included prostate-specific antigen (PSA) response, biochemical progression-free survival (bPFS), overall survival (OS) and treatment-related toxicity profiles.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>All eight patients experienced a significant decline in PSA levels, with no biochemical failures observed during a median follow-up of 72.4 months. The 5-year biochemical failure-free survival and overall survival rates were 100%. Among the eight patients, 6 (75%) had Grade 2 or lower genitourinary toxicity, and 5 (62.5%) had Grade 2 or lower gastrointestinal toxicity, with no Grade 3 or higher adverse events.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>Salvage EBRT after HIFU failure provides durable disease control with manageable side effects. Further research with larger cohorts is needed to refine treatment strategies for recurrent prostate cancer.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"69 6","pages":"681-686"},"PeriodicalIF":1.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144859221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Quality of Information Produced by ChatGPT About Conditions Managed by Interventional Radiologists.","authors":"Ruairidh Read, Matthew Lukies","doi":"10.1111/1754-9485.13881","DOIUrl":"https://doi.org/10.1111/1754-9485.13881","url":null,"abstract":"<p><strong>Introduction: </strong>The emergence of search engines powered by artificial intelligence and large language models (LLMs), such as ChatGPT, provides easy access to seemingly accurate health information. However, the accuracy of the information produced is uncertain. The purpose of this research is to assess the quality of information produced by ChatGPT about the treatment of health conditions commonly managed by Interventional Radiologists (IRs).</p><p><strong>Methods: </strong>ChatGPT was asked \"what is the best treatment\" in relation to six conditions commonly managed by IRs. The output statements were assessed using the DISCERN instrument and compared against the current evidence base for the management of those conditions.</p><p><strong>Results: </strong>Six conditions were assessed. The mean overall score for the ChatGPT output statements was 1.3 compared to 3.8 for the reference articles. This poor performance by ChatGPT is largely attributable to the lack of transparency regarding sources. Although ChatGPT performed well in some areas such as presenting information in an unbiased manner, it showed significant weaknesses regarding source materials, the risks and benefits of each treatment, and the treatment's mechanism of action.</p><p><strong>Conclusion: </strong>LLMs signify a considerable shift in how patients obtain and consume medical information. Understanding the strengths and weaknesses of ChatGPT's outputs regarding conditions commonly treated by IRs will enable tailored messaging and constructive discussions with patients in consultation with their IR.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiology Registrar Learning in an Online World","authors":"Connor Larson,&nbsp;Alexa Seal,&nbsp;Catherine Hayter,&nbsp;Sally Ayesa","doi":"10.1111/1754-9485.70001","DOIUrl":"10.1111/1754-9485.70001","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Radiology education has evolved significantly with the rise of online learning resources. While digital platforms are now integral to trainee study, the growing volume of content and variable access present challenges. Globally, studies have highlighted the benefits of curated digital learning, yet there is limited data on how radiology trainees in Australia and New Zealand use online resources and integrate them with traditional materials. This study aimed to evaluate the study habits of RANZCR (Royal Australian and New Zealand College of Radiology) radiology trainees, focusing on resource usage, perceptions of teaching modalities, and engagement with the RANZCR curriculum.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional study of current RANZCR trainees was performed, with data collected via an anonymous, voluntary online questionnaire distributed to all accredited RANZCR trainees via official College communications and at key educational events. The questionnaire covered six domains: demographics, textbook use, online resource use, in-person and remote teaching, and attitudes towards the curriculum. Both quantitative and qualitative data were collected. Descriptive statistics and group comparisons were performed using SPSS and OpenEpi. Free-text responses underwent thematic analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 145 trainees responded (22% response rate). 74% reported using online resources for over half of their learning, while only 15% relied similarly on textbooks. Cost was a major barrier, with 84% of trainees limited by subscription fees. Case-based, in-person teaching was consistently rated the most effective teaching method, though 89% also valued on-demand didactic content. Qualitative analysis revealed learners valued the convenience of online learning, but raised concerns over variability in teaching quality and a perceived disconnect between the curriculum structure and exam relevance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study demonstrates a clear shift towards online learning among Australian and New Zealand radiology trainees, reflecting broader global trends. While digital resources are preferred for their accessibility and targeted content, cost and content overload remain key barriers. Greater institutional support, structured guidance on resource use, and refinement of the RANZCR curriculum are needed to ensure the curriculum aligns with modern study habits and exam preparation needs.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"69 6","pages":"626-634"},"PeriodicalIF":1.4,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Faculty of Radiation Oncology 2022 Workforce Census","authors":"Hon Trinh,&nbsp;Nathan Stevens,&nbsp;Gerard Adams,&nbsp;Raphael Chee,&nbsp;Tuan Ha,&nbsp;Marcel Knesl,&nbsp;Jack Mitchell,&nbsp;Sakshi Nagpal,&nbsp;Edward Sia,&nbsp;Daniel Xing,&nbsp;the RANZCR Economics and Workforce Committee","doi":"10.1111/1754-9485.13883","DOIUrl":"10.1111/1754-9485.13883","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>This paper reports the key findings of the Faculty of Radiation Oncology 2022 workforce census. This is the first census since the COVID-19 pandemic and questions have been updated to assess the impact on RANZCR trainees and fellows. This report focuses on the analysis of respondents from Australia, New Zealand and overseas members, with a separate paper to follow focusing exclusively on New Zealand respondents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>The census was conducted in mid-late 2022 with many questions repeated from previous censuses. New questions were asked about theranostics, working remotely, hypofractionation and the impact of COVID-19 on work practices.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The census was sent to 591 radiation oncologists with an overall response rate of 52%. Almost half of respondents (<i>n</i> = 94/210; 45%) indicated that COVID-19 had no impact on the uptake of hypofractionation. Hypofractionation was most used by respondents in breast and prostate treatment (<i>n</i> = 134/200; 67% and <i>n</i> = 112/194; 58% respectively). Five respondents (<i>n</i> = 5/270; 2%) currently practise in theranostics, with the majority treating thyroid cancers within the public sector.</p>\u0000 \u0000 <p>Just under half (<i>n</i> = 81/167; 49%) of invited trainees responded. The majority felt that COVID-19 had a negative impact on their training. There has been a decrease in the number of new fellows seeking to complete further fellowships. Employment remains at very high levels for new fellows ( &gt; 98%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The impact of COVID-19 on local practices and workloads was not as significant as seen overseas. There continues to be an increasing trend of radiation oncologists working in the private sector. The lack of indigenous representation within our profession continues to be an area that needs further attention.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"69 6","pages":"687-695"},"PeriodicalIF":1.4,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.13883","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144794634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cost-Outcome of Radiotherapy for Local Control and Overall Survival Outcomes for Selected Cancers","authors":"Jesmin Shafiq,&nbsp;Vikneswary Batumalai,&nbsp;Karen Wong,&nbsp;Nasreen Kaadan,&nbsp;Alexandra Powell,&nbsp;Geoff P. Delaney,&nbsp;Shalini K. Vinod","doi":"10.1111/1754-9485.70000","DOIUrl":"10.1111/1754-9485.70000","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Optimal radiotherapy (RT) use in cancer patients results in substantial 5-year local control (LC) and overall survival (OS) benefits at the population level. This study aimed to estimate the average per capita cost of the first course of RT treatment and the associated cost per LC and OS outcomes, both overall and by cancer stage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data on RT activities from 2017 to 2020 for lung, rectum, cervix, prostate, brain and head and neck (H&amp;N) cancers were extracted from South-Western Sydney Local Health District electronic oncology information system MOSAIQ (Elekta, version 2.63). Costs were assigned based on activity codes and adjusted for yearly inflation rates. The average cost per treatment course was calculated (average cost per activity × number of fractions). Costs per 5- and 1-year LC and OS outcomes were estimated for all stages and for stages I–II and III.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 106,174 RT activities were extracted. The average cost of an RT treatment course was highest for prostate cancer ($10,332) and lowest for lung cancer ($5598). The lowest costs per 5-year outcome were observed for cervical cancers (LC: $15,780, OS: $28,370) and H&amp;N cancers (LC: $17,500, OS: $29,750). The cost per 5-year LC and OS outcome remained below $100,000 across all stages for each cancer type, except for prostate cancer, where the cost per OS outcome exceeded this level.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study demonstrates that the absolute costs associated with achieving 5-year local control and overall survival outcomes with radiotherapy are comparatively low across several major cancer types. These findings highlight the efficiency of radiotherapy in delivering meaningful clinical outcomes and can help inform service planning, investment decisions and prioritisation of radiotherapy within cancer care strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"69 6","pages":"641-648"},"PeriodicalIF":1.4,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144784519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transgender and Gender Diverse Patient Experiences, Care and Health Outcomes in Medical Imaging: A Scoping Review.","authors":"Kirralee Jane Davies, Ricky Lam","doi":"10.1111/1754-9485.13882","DOIUrl":"https://doi.org/10.1111/1754-9485.13882","url":null,"abstract":"<p><strong>Background: </strong>Changes in legislation and social attitudes towards transgender and gender diverse (TGD) people have prompted clinical and ethical questions about the experiences, care, and health outcomes of TGD patients in medical imaging.</p><p><strong>Aim: </strong>The aim of this scoping review is to identify the main themes surrounding TGD patient care in medical imaging. The research question 'What are the current themes surrounding transgender and gender diverse patient experiences, care, and health outcomes in medical imaging?' was developed to guide this exploration.</p><p><strong>Methods: </strong>A scoping search of the PubMed database for publications dated 2014-2024 was completed. Publications were included if they were considered relevant to the research question after full-text screening. Qualitative thematic analysis was guided by Braun and Clarke's (2006) approach to thematic analysis, and themes were subsequently identified.</p><p><strong>Results: </strong>The search resulted in 118 publications of which 28 were included after the screening process. Training and education (n = 14), the MID environment (n = 15), diagnostic implications (n = 12), and a lack of specific guidelines in literature (n = 11) were identified as common themes surrounding TGD people's experiences, care, and health outcomes in medical imaging.</p><p><strong>Conclusion: </strong>The scoping review concludes that TGD patient experiences, care, and health outcomes in medical imaging are impacted by the diagnostic implications of accurately identifying sex and gender, training and education, the MID environment, and a lack of specific guidelines in literature. Is it essential that radiographers, radiologists, and medical imaging staff recognise the impact that accurate identification of sex assigned at birth can have on diagnoses in medical imaging? MIDs must invest in creating accurate and safe methods to identify sex and gender identity and creating environmentally inclusive facilities that are gender-affirming. Disciplines in medical imaging must develop and teach TGD curriculum and champion research aimed at formulating modality-specific guidelines from TGD patient data.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI in the Clinical Radiology and Radiation Oncology Assessed Curricula: When Rather Than If.","authors":"Daniel E Roos, Paul M Parizel, David Kok, Lip Koon Ng","doi":"10.1111/1754-9485.13884","DOIUrl":"https://doi.org/10.1111/1754-9485.13884","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANZSNR 2025 ASM Abstracts","authors":"","doi":"10.1111/1754-9485.13862","DOIUrl":"10.1111/1754-9485.13862","url":null,"abstract":"","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"69 5","pages":"e1-e4"},"PeriodicalIF":1.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144637234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI Revolution in Radiology, Radiation Oncology and Nuclear Medicine: Transforming and Innovating the Radiological Sciences","authors":"S. Carriero,&nbsp;R. Cannella,&nbsp;F. Cicchetti,&nbsp;A. Angileri,&nbsp;A. Bruno,&nbsp;P. Biondetti,&nbsp;R. R. Colciago,&nbsp;A. D'Antonio,&nbsp;G. Della Pepa,&nbsp;F. Grassi,&nbsp;V. Granata,&nbsp;C. Lanza,&nbsp;S. Santicchia,&nbsp;A. Miceli,&nbsp;A. Piras,&nbsp;V. Salvestrini,&nbsp;G. Santo,&nbsp;F. Pesapane,&nbsp;A. Barile,&nbsp;G. Carrafiello,&nbsp;A. Giovagnoni","doi":"10.1111/1754-9485.13880","DOIUrl":"10.1111/1754-9485.13880","url":null,"abstract":"<p>The integration of artificial intelligence (AI) into clinical practice, particularly within radiology, nuclear medicine and radiation oncology, is transforming diagnostic and therapeutic processes. AI-driven tools, especially in deep learning and machine learning, have shown remarkable potential in enhancing image recognition, analysis and decision-making. This technological advancement allows for the automation of routine tasks, improved diagnostic accuracy, and the reduction of human error, leading to more efficient workflows. Moreover, the successful implementation of AI in healthcare requires comprehensive education and training for young clinicians, with a pressing need to incorporate AI into residency programmes, ensuring that future specialists are equipped with traditional skills and a deep understanding of AI technologies and their clinical applications. This includes knowledge of software, data analysis, imaging informatics and ethical considerations surrounding AI use in medicine. By fostering interdisciplinary integration and emphasising AI education, healthcare professionals can fully harness AI's potential to improve patient outcomes and advance the field of medical imaging and therapy. This review aims to evaluate how AI influences radiology, nuclear medicine and radiation oncology, while highlighting the necessity for specialised AI training in medical education to ensure its successful clinical integration.</p>","PeriodicalId":16218,"journal":{"name":"Journal of Medical Imaging and Radiation Oncology","volume":"69 6","pages":"649-659"},"PeriodicalIF":1.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1754-9485.13880","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}