Progress on imaging techniques to assessent of the extent of chronic osteomyelitis.
10.12200/j.issn.1003-0034.20240445
- Author:
Wei-Dong SHI
1
;
Wen-Xing HAN
1
;
Jian-Zheng ZHANG
1
;
Rong-Ji ZHANG
1
;
Hong-Ying HE
1
Author Information
1. The Fourth Medical Center of Chinese PLA General Hospital, Beijing 100084, China.
- Publication Type:English Abstract
- Keywords:
Chronic osteomyelitis;
Estimate;
Imaging technology;
Infection range;
Review
- MeSH:
Humans;
Osteomyelitis/diagnosis*;
Chronic Disease;
Magnetic Resonance Imaging;
Tomography, X-Ray Computed
- From:
China Journal of Orthopaedics and Traumatology
2025;38(3):314-318
- CountryChina
- Language:Chinese
-
Abstract:
Incomplete debridement of chronic osteomyelitis is the main factor leading to recurrence. For the treatment of chronic osteomyelitis, the complete elimination of the source of infection is the key to preventing recurrence. This process includes not only the complete removal of infected lesions, dead bone, accreted scar tissue and granulation tissue, but also the elimination of dead space and improved local blood circulation. In these steps, debridement is a core procedure, and judging the scope of debridement is the premise of whether it could be completely debridement. This article systematically reviewed the application of different imaging techniques in evaluating the scope of chronic osteomyelitis infection, and discusses its future development trend. Although traditional plain X-ray film could preliminarily indicate osteomyelitis, it is difficult to determine the infection scope. CT scan has the function of accurate anatomic localization, which is important for preoperative assessment of the scope of bone infection, but the recognition of soft tissue information is limited. MRI, with its high sensitivity, clearly distinguishes between infected bone and soft tissue, which plays an important role in the evaluation of soft tissue infection, but may overestimate the extent of bone infection. Nuclide techniques such as 18F-FDG PET/CT and SPECT/CT show great potential for accurately assessing the extent of infection before surgery. In the future, by optimizing the combination of different imaging technologies, combining clinical symptoms, intraoperative conditions and pathological results, and developing an image analysis platform based on artificial intelligence, it will be able to more accurately assess the scope of infection, provide more effective and personalized treatment plans for patients with chronic osteomyelitis, enhance treatment effects, and significantly improve quality of life of patients.
