中国组织工程研究

中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (30): 7830-7839.doi: 10.12307/2026.968

• 骨组织构建 bone tissue construction • 上一篇    下一篇

股骨头坏死影像学检查：研究趋势及热点的文献可视化分析

赵  骞1，刘甜甜1，尹元元1，夏  苗1，涂嘉琪2，费  麟2，王心莹2，杨  峰1   

  1. 1沈阳医学院附属中心医院，辽宁省沈阳市   110075； 2沈阳医学院，辽宁省沈阳市   110034
  • 收稿日期:2026-08-03 修回日期:2026-08-20 出版日期:2026-10-28 发布日期:2026-09-10
  • 通讯作者: 杨峰，博士，主任医师，沈阳医学院附属中心医院，辽宁省沈阳市 110075
  • 作者简介:赵骞，硕士，副主任医师，主要从事神经影像智能识别与预测研究。
  • 基金资助:
    辽宁省科技计划联合计划(技术攻关计划项目)(2024JH2/102600231)，项目负责人：杨峰；辽宁省教育厅高等学校基本科研项目(重点项目)(LJKZ1154)，项目负责人：杨峰；辽宁省重点专科项目，项目负责人：杨峰；沈阳医学院硕士研究生科技创新基金(Y20250540)，项目负责人：费麟

Imaging examinations for osteonecrosis of the femoral head: a visualization analysis of research trends and hot topics in the literature

Zhao Qian1, Liu Tiantian1, Yin Yuanyuan1, Xia Miao1, Tu Jiaqi2, Fei Lin2, Wang Xinying2, Yang Feng1   

  1. 1Central Hospital Affiliated to Shenyang Medical College, Shenyang 110075, Liaoning Province, China; 2Shenyang Medical College, Shenyang 110034, Liaoning Province, China
  • Received:2026-08-03 Revised:2026-08-20 Online:2026-10-28 Published:2026-09-10
  • Contact: Yang Feng, PhD, Chief physician, Central Hospital Affiliated to Shenyang Medical College, Shenyang 110075, Liaoning Province, China
  • About author:Zhao Qian, MS, Associate chief physician, Central Hospital Affiliated to Shenyang Medical College, Shenyang 110075, Liaoning Province, China
  • Supported by:
    Liaoning Province Science and Technology Plan Joint Program (Key Technology Research Program), No. 2024JH2/102600231 (to YF); Basic Scientific Research Project of Liaoning Provincial Department of Education for Higher Education Institutions (Key Project), No. LJKZ1154 (to YF); Liaoning Province Key Specialty Project (to YF); Shenyang Medical College Postgraduate Science and Technology Innovation Fund, No. Y20250540 (to FL)

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摘要：



文题释义：
有限元分析：把连续体离散为有限个单元，通过数值近似求解应力、位移等物理量。该方法能处理高度非线性、流固耦合等复杂问题，是研究人体组织损伤机制的重要方法。医学领域已将有限元分析广泛应用于脊椎、关节等结构的生物力学分析。
多模态成像：结合多种成像技术或平台(如 MRI 和 PET)的成像方法，涵盖解剖、功能或分子成像等方面。

背景：影像学检查可贯穿股骨头坏死诊疗的全流程。近年来影像组学、深度学习和多模态定量成像等新兴技术迅猛发展，推动股骨头坏死的影像学检查研究领域从传统形态学描述向智能化、精准化方向跨越，但系统的知识结构梳理与演化趋势分析尚不充分。
目的：运用文献计量学与可视化分析方法，阐述2017–2026年股骨头坏死影像学检查领域的国内外研究现状、知识结构、合作网络及热点演变趋势。
方法：检索2017-01-01/2026-07-06万方数据库和Web of Science核心合集数据库中股骨头坏死的影像学检查研究文献，最终分别纳入1 208篇中文文献和1 209篇英文文献。采用VOSviewer 1.6.20软件进行关键词共现、聚类及叠加可视化分析，通过期刊、机构、关键词的共现网络及高被引文献的计量学及可视化分析，全面评估该领域的研究热点。
结果与结论：①此领域中文期刊发文量呈下降趋势，英文期刊发文量呈逐年上升趋势，广州中医药大学是国内外此领域发文量最高的机构，说明中国此领域研究可能近年来逐渐侧重发表于SCI英文期刊，发文趋势呈现了结构性转移。②中文关键词热点从传统“CT、磁共振成像、诊断”(2019–2020年)向“多排螺旋CT、早期诊断、激素性坏死、骨髓间充质干细胞”(2021–2022年)延伸，“诊断效能”为当前核心主题，“股骨颈骨折”为最新突现热点；中文高被引文献集中于CT与MRI效能对比、Micro-CT联合高分辨率MRI评估药物修复、人工智能辅助术前规划。③国际关键词热点以“股骨头坏死/缺血性坏死/关节置换”为经典核心(2021年左右)，近年向“塌陷生物力学、有限元分析、微创保髋(关节镜)、COVID-19”等前沿延伸(平均年份2022–2023年)；人工智能、深度学习、机器学习等关键词突现强度持续走高(2020–2026年)；国际高被引文献聚焦于ARCO CT新分类系统构建、深度学习模型开发、影像生物标志物(骨吸收体积比、动态硬化骨变化)挖掘等原创性工作。④上述数据显示，中国研究热点已从传统影像诊断向诊断效能的量化评估延伸，并在人工智能辅助术前规划等应用层面取得了一定成果；然而，与国外机构相比，中国研究在影像新分类系统构建、原创性深度学习诊断模型开发及影像生物标志物挖掘等基础理论与方法学原创层面仍存在明显差距，尚未形成新的研究范式；而国外机构热点则以”新体系构建”为导向，在ARCO CT分类、深度学习诊断模型、COVID-19相关骨坏死等前沿方向形成突破。⑤未来发展方向建议研究者们聚焦人工智能与影像组学的深度融合、多模态影像与生物力学建模的整合以及多中心标准化验证体系建设，从而推动从效能比较向原创性探索的范式转变。

https://orcid.org/0000-0002-9844-8182 (杨峰) 


中国组织工程研究杂志出版内容重点：干细胞；骨髓干细胞；造血干细胞；脂肪干细胞；肿瘤干细胞；胚胎干细胞；脐带脐血干细胞；干细胞诱导；干细胞分化；组织工程

关键词: 股骨头坏死, 影像学检查, CT, 磁共振成像, MRI, X射线片, 多模态成像, 人工智能, 文献计量学, 可视化分析, 研究热点

Abstract: BACKGROUND: Imaging examinations can be applied throughout the entire diagnostic and treatment process for osteonecrosis of the femoral head. In recent years, emerging technologies such as imageomics, deep learning, and multimodal quantitative imaging have developed rapidly, driving research on imaging examinations for osteonecrosis of the femoral head from traditional morphological descriptions toward intelligent and precise approaches; however, a systematic review of the knowledge framework and analysis of evolving trends remain insufficient.
OBJECTIVE: To use bibliometric and visualization analysis methods to describe the current state of domestic and international research, the knowledge structure, collaborative networks, and evolving trends in the field of imaging examinations for osteonecrosis of the femoral head from 2017 to 2026.
METHODS: We searched the WanFang Database and the Web of Science Core Collection from January 1, 2017 to July 6, 2026, for studies on imaging examinations of avascular necrosis of the femoral head. Ultimately, 1 208 Chinese-language articles and 1 209 English-language articles were included. VOSviewer 1.6.20 software was used to perform co-occurrence, clustering, and overlay visualization analyses of keywords. Research hotspots in this field were comprehensively assessed through co-occurrence networks of journals, institutions, and keywords, as well as bibliometric analysis of highly cited articles.
RESULTS AND CONCLUSION: (1) The number of publications from China has shown a decline trend, while the number of international publications has been on the rise year by year. Guangzhou University of Chinese Medicine is the institution with the highest number of publications in this field, both domestically and internationally. This suggests that research in this field in China may have gradually shifted toward publication in English-language SCI journals in recent years, indicating a structural transition in publication trends. (2) Trends in Chinese keywords have shifted from traditional terms such as “CT, magnetic resonance imaging, and diagnosis” (average years: 2019–2020) to “multi-slice spiral CT, early diagnosis, osteonecrosis, and bone marrow mesenchymal stem cells” (average years: 2021–2022). “Diagnostic efficacy” is the current core theme, while “femoral neck fracture” has recently emerged as a new hot topic. Highly cited Chinese publications focus on comparisons of CT and MRI performance, the use of micro-CT combined with high-resolution MRI to evaluate drug-induced repair, and artificial intelligence-assisted preoperative planning. (3) International keyword hotspots have centered on “osteonecrosis of the femoral head/avascular necrosis/joint replacement” as a classic core (average year: 2021), while recent trends have expanded into cutting-edge areas such as “collapse biomechanics, finite element analysis, minimally invasive hip preservation (arthroscopy), and COVID-19” (average years: 2022–2023). The emergence intensity of keywords such as artificial intelligence, deep learning, and machine learning has continued to rise (2020–2026); internationally highly cited publications focus on original work such as the development of the new ARCO CT classification system, the development of deep learning models, and the identification of imaging biomarkers (bone resorption volume ratio, dynamic changes in cortical bone). (4) The data above indicate that research hotspots in China have shifted from traditional imaging diagnosis to the quantitative assessment of diagnostic performance, with certain results in applications such as artificial intelligence-assisted preoperative planning. However, compared with foreign institutions, research in China still lags significantly in terms of original theoretical and methodological contributions, such as the development of new imaging classification systems, the development of original deep learning diagnostic models, and the identification of imaging biomarkers, and has yet to establish a new research paradigm. In contrast, research hotspots at foreign institutions are guided by the “construction of new systems,” leading to breakthroughs in cutting-edge areas such as the ARCO CT classification, deep learning diagnostic models, and ‌coronavirus disease 2019‌-related osteonecrosis. (5) Recommendations for future development should focus on the deep integration of artificial intelligence and imageomics, the integration of multimodal imaging and biomechanical modeling, and the establishment of a multicenter standardized validation system, thereby driving a paradigm shift from comparative efficacy studies to original research.


Key words: osteonecrosis of the femoral head, imaging examinations, CT, magnetic resonance imaging, MRI, X-ray, multimodal imaging, artificial intelligence, bibliometrics, visualization analysis, research hotspots

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