人工智能脊柱退变影像学测量位点与标注专家共识(2025)

doi:10.6040/j.issn.1671-7554.0.2025.0219

摘要/Abstract

摘要： 影像学检查是评估脊柱退变程度的主要手段之一,然而由于不同医疗机构成像设备、影像扫描方式存在差异,加之测量数据繁杂、影像学结果描述和分型存在较多争议,限制了疾病诊疗的规范性。将人工智能应用于脊柱退行性疾病影像学分析,可以提高疾病诊断标准的一致性,同时提升医师诊断效率,使医患受益。为了规范脊柱退行性疾病影像学标注与测量,促进人工智能更好地应用于临床,参考国内外最新文献、临床研究数据及相关行业要求,在脊柱退行性疾病影像标注数据采集规范、定义、影像学表现及测量方案等方面,专家达成统一意见并制定本共识,有助于提高数据标注与测量的一致性,进而建立准确性高、通用性好、泛化能力强的人工智能算法模型,为脊柱退行性疾病的规范化诊疗提供坚实的影像学依据。

关键词: 脊柱退行性疾病, 影像学标注, 人工智能, 诊断, 专家共识

Abstract: Imaging examination is one of the main methods to assess the degree of spinal degeneration, but the standardization of disease diagnosis and treatment is limited due to differences in imaging equipment and imaging scanning modalities in different medical institutions, complicated measurement data, and controversial description and grading of imaging results. The application of artificial intelligence(AI)to spinal degenerative disease imaging analysis can improve the consistency of disease diagnostic criteria, as well as enhance the diagnostic efficiency of physicians, benefiting both doctors and patients. In order to standardize the annotation and measurement of spinal degenerative disease image and to promote the better application of AI in clinical practice, with reference to the latest domestic and international literature, clinical research data and relevant industry requirements, experts have formulated a unified opinion on spinal degenerative disease imaging annotation data acquisition specifications, definitions, imaging performances, and measurement protocols and formulated this consensus, which can help improve the consistency of data annotation and measurement, and then establish an AI algorithm model with high accuracy, good versatility and strong generalization ability, providing a solid imaging basis for the standardized diagnosis and treatment of spinal degenerative diseases.

Key words: Spinal degenerative diseases, Imaging annotation, Artificial intelligence, Diagnosis, Expert consensus

中图分类号:

R681.5

中国医师协会骨科医师分会智能骨科学组,中华预防医学会脊柱疾病预防与控制专业委员会脊柱脊髓损伤疾病预防与控制学组. 人工智能脊柱退变影像学测量位点与标注专家共识(2025)[J]. 山东大学学报 (医学版), 2026, 64(2): 1-10.

Intelligent Orthopedics Subgroup of Chinese Association of Orthopedic, Subgroup for Prevention and Control of Spinal and Spinal Cord Injury Diseases of Professional Committee for Prevention and Control of Spinal Diseases of Chinese Preventive Medicine Association. Expert consensus on measurement sites and annotation of artificial intelligence-based spinal degenerative imaging(2025)[J]. Journal of Shandong University (Health Sciences), 2026, 64(2): 1-10.

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