Kraus Matan, Pertman Lihi, Eshed Iris
Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel.
Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
J Child Orthop. 2025 Mar 12;19(2):109-118. doi: 10.1177/18632521251325122. eCollection 2025 Apr.
The field of pediatric musculoskeletal imaging is undergoing significant advancements due to technological innovations and a growing emphasis on safety and patient-centered care. This review explores recent developments in imaging modalities such as advanced magnetic resonance imaging, ultrasound innovations, and artificial intelligence applications. Highlights include radiation dose-reduction techniques in radiography and computed tomography, enhanced diagnostic tools like contrast-enhanced ultrasound and ultra-high-frequency imaging, and the integration of artificial intelligence for pathology detection and workflow optimization. The adoption of advanced methods like whole-body magnetic resonance imaging and computed tomography-like magnetic resonance imaging sequences has improved diagnostic accuracy, minimized radiation exposure, and expanded the capabilities of noninvasive imaging. Emerging technologies, including photon-counting detector computed tomography and deep learning-based reconstructions, are transforming clinical practices by balancing precision and safety. Artificial intelligence applications are reshaping diagnostic approaches, automating complex assessments, and improving efficiency, although challenges such as external validation and limited scope persist. Functional imaging advancements, such as diffusion-weighted imaging and positron emission tomography-magnetic resonance imaging integration, are enhancing disease characterization and treatment planning. This review underscores the clinical impact of these innovations, emphasizing the need for standardized protocols, interdisciplinary collaboration, and continued research to address unmet needs in radiation safety and artificial intelligence integration. It aims to equip healthcare professionals with the knowledge to leverage these advancements for improved outcomes in pediatric musculoskeletal care.
由于技术创新以及对安全和以患者为中心的护理的日益重视，儿科肌肉骨骼影像学领域正在取得重大进展。本综述探讨了成像模态的最新发展，如先进的磁共振成像、超声创新和人工智能应用。亮点包括X线摄影和计算机断层扫描中的辐射剂量降低技术、对比增强超声和超高频成像等增强诊断工具，以及用于病理检测和工作流程优化的人工智能集成。全身磁共振成像和类计算机断层扫描磁共振成像序列等先进方法的采用提高了诊断准确性，将辐射暴露降至最低，并扩展了无创成像的能力。包括光子计数探测器计算机断层扫描和基于深度学习的重建在内的新兴技术正在通过平衡精度和安全性来改变临床实践。人工智能应用正在重塑诊断方法，使复杂评估自动化并提高效率，尽管外部验证和范围有限等挑战仍然存在。功能成像的进展，如扩散加权成像和正电子发射断层扫描 - 磁共振成像集成，正在增强疾病特征描述和治疗计划。本综述强调了这些创新的临床影响，强调需要标准化方案、跨学科合作以及持续研究，以满足辐射安全和人工智能集成方面未满足的需求。其目的是使医疗保健专业人员具备利用这些进展改善儿科肌肉骨骼护理结果的知识。
