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肌肉骨骼系统中的扩散加权成像:我们目前处于什么阶段?

Diffusion weighted imaging in musculoskeletal system: where are we now?

作者信息

Saran Sonal, Chhabra Avneesh, Botchu Rajesh

机构信息

Department of Diagnostic and Interventional Radiology, AIIMS Rishikesh, Rishikesh, Uttarakhand, 249203, India.

Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390, United States.

出版信息

BJR Open. 2025 Jul 22;7(1):tzaf019. doi: 10.1093/bjro/tzaf019. eCollection 2025 Jan.

Abstract

Diffusion-weighted imaging (DWI) is an advanced MRI technique that harnesses the movement of water molecules within tissues to assess and characterize a wide range of musculoskeletal disorders. By differentiating between isotropic and anisotropic diffusion, DWI provides critical insights into tissue integrity and pathology, proving instrumental in diagnosing conditions. Its sensitivity to changes in tissue microstructure is quantified through metrics like the apparent diffusion coefficient (ADC) and fractional anisotropy (FA). Advanced methodologies, including diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI), further enhance DWI's ability to evaluate complex tissue architectures, offering vital information on muscle, ligament, tendon, and cartilage health. DWI also excels in the assessment of soft tissue tumours, infections, and joint pathologies, enabling accurate differentiation between benign and malignant lesions and facilitating early detection of conditions like osteomyelitis. Additionally, DWI plays a crucial role in monitoring treatment responses, with ADC changes correlating to tumour necrosis and recurrence. Despite its advantages, DWI faces limitations, such as technical artefacts and challenges in interpretation that can impact diagnostic accuracy. This review explores the diverse applications of DWI and DTI in musculoskeletal imaging, highlighting their potential to improve diagnostic precision and clinical outcomes while addressing ongoing challenges in the field.

摘要

扩散加权成像(DWI)是一种先进的磁共振成像(MRI)技术,它利用组织内水分子的运动来评估和表征各种肌肉骨骼疾病。通过区分各向同性和各向异性扩散,DWI提供了关于组织完整性和病理学的关键见解,在疾病诊断中发挥了重要作用。其对组织微观结构变化的敏感性通过表观扩散系数(ADC)和分数各向异性(FA)等指标进行量化。包括扩散张量成像(DTI)和扩散峰度成像(DKI)在内的先进方法进一步增强了DWI评估复杂组织结构的能力,提供了有关肌肉、韧带、肌腱和软骨健康的重要信息。DWI在软组织肿瘤、感染和关节疾病的评估方面也表现出色,能够准确区分良性和恶性病变,并有助于早期发现骨髓炎等疾病。此外,DWI在监测治疗反应方面发挥着关键作用,ADC的变化与肿瘤坏死和复发相关。尽管具有优势,但DWI也面临一些局限性,如技术伪影和解释方面的挑战,这些可能会影响诊断准确性。本综述探讨了DWI和DTI在肌肉骨骼成像中的多种应用,强调了它们在提高诊断精度和临床结果方面的潜力,同时也探讨了该领域目前面临的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a47b/12342750/de3b57551156/tzaf019f1.jpg

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