Literature DB >> 27476841

Computed tomography-guided percutaneous biopsy for vertebral neoplasms: a department's experience and hybrid biopsy technique to improve yield.

Vasant Garg1, Christos Kosmas1, Enambir S Josan2, Sasan Partovi1, Nicholas Bhojwani1, Nathan Fergus1, Peter C Young1, Mark R Robbin1.   

Abstract

OBJECTIVE Recent articles have identified the poor diagnostic yield of percutaneous needle biopsy for vertebral osteomyelitis. The current study aimed to confirm the higher accuracy of CT-guided spinal biopsy for vertebral neoplasms and to identify which biopsy technique provides the highest yield. METHODS Over a 9-year period, the radiology department at University Hospitals Case Medical Center performed 222 CT-guided biopsies of vertebral lesions, of which clinicians indicated a concern for vertebral neoplasms in 122 patients. A retrospective chart review was performed to confirm the higher sensitivity of the percutaneous intervention for vertebral neoplasms. RESULTS A core sample was obtained for all 122 biopsies of concern (100.0%). Only 6 cases (4.9%) were reported as nondiagnostic per histological sampling, and 12 cases (9.8%) were negative for disease. The question of vertebral neoplastic involvement warrants follow-up, and the current study was able to determine the subsequent diagnosis of each lesion. Of the 122 total, 94 (77.0%) core samples provided true-positive results, and the sensitivity of core biopsy measured 87.9%. The technical approach did not demonstrate any significant difference in diagnostic yield. However, when the vertebral cortex was initially pierced with a coaxial bone biopsy system and subsequently a 14-gauge spring-loaded cutting biopsy needle was coaxially advanced into lytic lesions, 14 true positives were obtained with a corresponding sensitivity of 100.0%. CONCLUSIONS This study confirms the higher sensitivity of image-guided percutaneous needle biopsy for vertebral neoplasms. In addition, it demonstrates how the use of a novel cutting needle biopsy approach, performed coaxially through a core biopsy track, provides the highest yield.

Entities:  

Keywords:  CT-guided biopsy; FNA = fine needle aspiration; hybrid biopsy technique; vertebral neoplasms

Mesh:

Year:  2016        PMID: 27476841     DOI: 10.3171/2016.4.FOCUS1614

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  6 in total

Review 1.  Bone and Soft-Tissue Biopsies: What You Need to Know.

Authors:  Dimitrios K Filippiadis; George Charalampopoulos; Argyro Mazioti; Kalliopi Keramida; Alexis Kelekis
Journal:  Semin Intervent Radiol       Date:  2018-11-05       Impact factor: 1.513

Review 2.  Review article: the current status of CT-guided needle biopsy of the spine.

Authors:  Asif Saifuddin; Valentina Palloni; Hannah du Preez; Syed Ehtasham Junaid
Journal:  Skeletal Radiol       Date:  2020-08-19       Impact factor: 2.199

3.  Initial experience with dual-energy computed tomography-guided bone biopsies of bone lesions that are occult on monoenergetic CT.

Authors:  Michael C Burke; Ankur Garg; Jonathan M Youngner; Swati D Deshmukh; Imran M Omar
Journal:  Skeletal Radiol       Date:  2018-10-20       Impact factor: 2.199

4.  Comparative analysis of CT guided vertebral biopsy by a conventional bone biopsy needle versus bone biopsy needle with acquisition cradle.

Authors:  Dharmendra Kumar Singh; Tankeshwar Boruah; Anuradha Sharma; Geetika Khanna; Loveneesh G Krishna; Nishith Kumar
Journal:  J Clin Orthop Trauma       Date:  2021-06-02

5.  Clinical application of a modified percutaneous vertebroplasty instrument in vertebral body biopsy in adults.

Authors:  Fubiao Zhou; Ningkui Niu; Qiang Liang; Yueliang Chang; Jiandang Shi; Zili Wang
Journal:  BMC Musculoskelet Disord       Date:  2022-02-19       Impact factor: 2.362

6.  PET/CT-guided versus CT-guided percutaneous core biopsies in the diagnosis of bone tumors and tumor-like lesions: which is the better choice?

Authors:  Min-Hao Wu; Ling-Fei Xiao; Huo-Wen Liu; Zhi-Qiang Yang; Xiao-Xiao Liang; Yan Chen; Jun Lei; Zhou-Ming Deng
Journal:  Cancer Imaging       Date:  2019-10-29       Impact factor: 3.909

  6 in total

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