fMRI在股骨头缺血性坏死早期诊断及中西医疗效评估的研究进展
Research Advancements in fMRI for the Early Diagnosis of Avascular Necrosis of the Femoral Head and Assessment of the Therapeutic Efficacy of Chinese and Western Medicines
张海熠 1王欧成 2徐祖健 3尧麒 2刘勇2
作者信息
- 1. 西南医科大学中西医结合学院(四川泸州 646000);西南医科大学附属中医医院磁共振科(四川泸州 646000)
- 2. 西南医科大学附属中医医院磁共振科(四川泸州 646000)
- 3. 西南医科大学附属中医医院骨伤科(四川泸州 646000)
- 折叠
摘要
股骨头缺血性坏死(osteonecrosis of the femoral head,ONFH)是发生在髋关节的较为常见的骨科疾病,对患者生活质量和身体健康造成极大的影响.早诊断、早治疗对疾病的预后至关重要.临床上X线、CT和MRI是检查和诊断股骨头坏死不可缺少的影像方法,其中MRI及其功能成像(fMRI)具有无创、无辐射、软组织分辨力高等优势,在股骨头缺血性坏死的早期诊断和治疗评估方面有着较好的应用价值和前景.本文选取磁共振功能成像(fMRI),包括扩散成像(DWI)、波谱成像(MRS)、灌注成像(PWI)和动态对比增强磁共振成像(DCE-MRI)在股骨头缺血性坏死的诊断和中西医结合治疗疗效评估的应用现状和进展进行综述.
Abstract
Osteonecrosis of the femoral head(ONFH),a common orthopedic disorder arising in the hip joint,significantly impacts the patient's quality of life and physical well-being.Early diagnosis and treatment are of paramount importance for the prognosis of this disease.In clinical practice,X-ray,CT,and MRI are indispensable imaging modalities for the examination and diagnosis of femoral head necrosis.Among them,MRI and functional MRI(fMRI)boast the merits of non-invasiveness,zero radiation exposure,and high resolution of soft tissues,especially in the early diagnosis and treatment evaluation of ONFH,where they exhibit superior application value and prospects.This article reviews the application status and advancements of functional magnetic resonance imaging(fMRI),including diffusion-weighted imaging(DWI),magnetic resonance spectroscopy(MRS),perfusion weighted imaging(PWI),and dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)in the diagnosis of ONFH and the combined application of traditional Chinese and Western medicine treatment.
关键词
股骨头缺血性坏死/早期诊断/磁共振成像/功能磁共振成像/中西医结合治疗Key words
Osteonecrosis of the Femoral Head/Early Diagnosis/Magnetic Resonance Imaging/Functional Magnetic Resonance Imaging/Combined Chinese and Western Medicine Treatment引用本文复制引用
基金项目
四川省中医药管理局面上项目(2023MS510)
西南医科大学自然科学青年苗圃项目(2020XYLH-065)
出版年
2024
NETL
NSTL
万方数据