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DOI 10.1038/srep36995

Медицинская библиотека · Scientific reports · 2016

Magnetic resonance imaging parameter optimizations for diagnosis of periprosthetic infection and tumor recurrence in artificial joint replacement patients.

Jiang Mei-Hua, He Chuan, Feng Jian-Min, Li Zhi-Hui, Chen Zhe, Yan Fu-Hua, Lu Yong

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

To evaluate the efficacy of magnetic resonance imaging (MRI) parameter optimizations for the diagnosis of periprosthetic infection and tumor recurrence in joint replacement patients. We compared the quality of images for 16 joint replacement patients that were recorded using the optimized MRI parameters with and without view angle tilting (VAT) correction at 1.5 T in coronal fast-spin-echo T2-weighted MRI. The optimized MRI data of 86 patients with pain after hip replacement and 67 patients who received tumor resection and joint replacement for bone cancer were retrospectively analyzed to identify MRI features that were useful for the diagnosis of periprosthetic infection and tumor recurrence. Increasing receiver bandwidth and decreasing slice thickness combined with VAT significantly reduced the area of metal-induced artifacts. Irregular soft tissue mass, soft tissue edema, bone destruction, and fistula were significant features of periprosthetic infection, with sensitivities of 47.4-100% and specificities of 73.1-100.0%, which were confirmed based on surgical and pathological findings. Soft tissue mass was a significant feature of tumor recurrence, with 100% sensitivity, 96.0% specificity, and 97.0% consistency. The optimized VAT MRI method demonstrated a high level of diagnostic accuracy for the detection of periprosthetic infection and tumor recurrence in joint replacement patients.

Для цитирования: Jiang Mei-Hua, He Chuan, Feng Jian-Min, Li Zhi-Hui, Chen Zhe, Yan Fu-Hua, Lu Yong. Magnetic resonance imaging parameter optimizations for diagnosis of periprosthetic infection and tumor recurrence in artificial joint replacement patients.. Scientific reports. 2016. DOI: 10.1038/srep36995.

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