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Percutaneous Superimposed O-Arm-MRI-Navigated Biopsy for Spinal Column Pathologies
Al-Smadi, M.W. [Al-Smadi, Mohammad Walid (Idegsebészet), author] Institute of Surgical Research (UD); Jeno Manninger National Institute of Traumatology
;
Kozma, I.
;
Aslan, S. [Aslan, Siran (Radiological and ...), author] Department of Traumatology (SU / FM / C)
;
Bölöni, B.
;
Viola, Á. ✉ [Viola, Árpád (Idegsebészet), author] Department of Traumatology (SU / FM / C); Jeno Manninger National Institute of Traumatology
English Article (Journal Article) Scientific
Published:
DIAGNOSTICS 2075-4418 2075-4418
13
(13)
Paper: 2252
, 9 p.
2023
SJR Scopus - Clinical Biochemistry: Q2
Identifiers
MTMT: 34075096
DOI:
10.3390/diagnostics13132252
WoS:
001028588400001
Scopus:
85164725655
PubMed:
37443649
Subjects:
Neurosurgery
Classifying spinal tumors can be challenging due to nonspecific clinical and radiological qualities, and a precise biopsy is crucial for an accurate diagnosis and treatment planning. This study aimed to enhance the accuracy and efficiency of spinal biopsies integrating Cone Beam Computed Tomography (CBCT) and magnetic resonance imaging (MRI) modalities using an O-arm CT navigation system. Eighteen patients with different spinal lesions underwent 18 biopsies following the Stealth Station navigation system Spine 8 protocol. Preoperative MRI scans were merged with intraoperative CT navigation systems for continuous monitoring during the biopsy process. The combined imaging technique accurately identified the diseased lesion type in all biopsies, demonstrating 100% sensitivity and specificity. In conclusion, combining MRI and CT imaging modalities significantly improved spinal biopsy accuracy and efficiency, differentiating between pathological entities. However, large-scale studies are desired to validate these findings and investigate potential benefits in different clinical scenarios. Although this method requires general anesthesia, its potential profits in avoiding misdiagnosed lesions and decreasing the need for further invasive procedures make it a promising approach for improving spinal biopsy accuracy and efficiency. © 2023 by the authors.
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2025-04-25 05:22
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