Recent advancements in imaging technologies have significantly improved the diagnosis and management of hip disorders, particularly in older adults. Accurate diagnosis remains challenging due to the complex nature of hip pain, often involving referred pain from other regions. While conventional imaging methods, such as x-ray, computed tomography (CT), and magnetic resonance imaging (MRI) continue to be essential, innovations, such as three-dimensional (3D) imaging, dynamic imaging, low-dose systems, and artificial intelligence (AI)-based analysis are transforming the field. AI, particularly deep learning, enhances diagnostic precision, in detecting non-displaced hip fractures. Additionally, molecular imaging techniques, such as positron emission tomography (PET)/CT and PET/MRI offer valuable insights into metabolic changes, while nanotechnology aids in early detection. Despite these advancements, challenges, such as accessibility, cost, and clinical integration persist. This review highlights these innovations and their potential to shape future hip disorder diagnostics.
Type of Study:
Review Paper |
Subject:
Hip surgery Received: 2022/12/9 | Accepted: 2023/01/7 | Published: 2023/11/1