ISSN 1308-8734 | E-ISSN 1308-8742
Original Article
Image-Guided Percutaneous Bone Biopsy with a Simulated Van Sonnenberg Removable Hub System
1 Department of Radiology, Inonu University Faculty of Medicine, Malatya, Turkey  
2 Department of Radiology, Karadeniz Technical University Faculty of Medicine, Trabzon, Turkey  
3 Department of Radiology, Diskapi Yıldırım Beyazit Training and Research Hospital, Ankara, Turkey  
Eurasian J Med 2015; 47: 1-12
DOI: 10.5152/eajm.2014.35
Key Words: Bone, image-guided biopsy, Van Sonnenberg
Abstract

Objective: To retrospectively examine the success and complication rates associated with image-guided percutaneous bone biopsy with a simulated Van Sonnenberg removable hub system.

 

Materials and Methods: During a 3.5-year period, 27 bone lesions at different anatomic locations with an indication for biopsy based on plain film, computed tomography (CT) and/or magnetic resonance imaging (MRI) findings were determined, and a total of 28 image-guided (fluoroscopy or CT) percutaneous biopsies were performed using a simulated Van Sonnenberg -removable hub system. This technique entailed the use of a cut-out Chiba needle hub that performed as a guide for the insertion of a larger needle. Either core and aspiration biopsy or core biopsy alone was utilized.

 

Results: The procedure yielded diagnostic material 89% of the cases (48% infection, 22% benign lesions, and 19% malignant lesions). Combined use of core and aspiration biopsy resulted in a higher diagnostic accuracy as compared to core biopsy alone. No false positive or false negative diagnoses were observed. No serious complications such as neurological deficits, bleeding, or organ injury were observed.

 

Conclusion: The simulated Van Sonnenberg removable hub system provides a useful technique for percutaneous bone biopsies and is particulary suitable for deep seated (such as vertebral) lesions with its ability to facilitate the accessibility of the lesion with its built-in guidance needle. The procedure is safe in light of the literature data.  

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