Volume 10, Issue 4 (In-Press 2023)
JROS 2023, 10(4): 0-0 |
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Pisoudeh K, Mokhtari K, Kazemi S. Recent advanced in imaging technology for diagnosing hip disorders: A mini-review. JROS 2023; 10 (4)
URL: http://jros.iums.ac.ir/article-1-2262-en.html
URL: http://jros.iums.ac.ir/article-1-2262-en.html
1- Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Department of Orthopedic, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
2- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
3- Bone and Joint Reconstruction Research Center, Department of Orthopedics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran. Department of Orthopedics, Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia, Iran
2- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
3- Bone and Joint Reconstruction Research Center, Department of Orthopedics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran. Department of Orthopedics, Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia, Iran
Abstract: (40 Views)
Recent advancements in imaging technologies have greatly 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 like X-ray, CT, and MRI continue to be essential, innovations such as 3D imaging, dynamic imaging, low-dose systems, and AI-based analysis are transforming the field. AI, especially deep learning, enhances diagnostic precision, particularly in detecting non-displaced hip fractures. Additionally, molecular imaging techniques like 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.
Keywords: Hip disorders, imaging technology, AI, deep learning, MRI, CT, X-ray, PET/CT, PET/MRI, nanotechnology, 3D imaging, dynamic imaging, low-dose imaging, early detection
Type of Study: Review Paper |
Subject:
Hip surgery
Received: 2024/12/9 | Accepted: 2025/01/7 | Published: 2023/11/19
Received: 2024/12/9 | Accepted: 2025/01/7 | Published: 2023/11/19
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