Skip to main content

Advertisement

Log in

Radiology-pathology correlation for bone and soft tissue tumors or tumor-like masses: single institutional experience after implementation of a weekly conference

  • Scientific Article
  • Published:
Skeletal Radiology Aims and scope Submit manuscript

Abstract

Objectives

To determine the frequency of non-diagnostic and discordant results from bone and soft tissue biopsies performed at our institution over a 3-year period and to investigate whether implementation of a weekly musculoskeletal radiology-pathology correlation conference decreased the time to appropriate patient management in cases of discordance.

Methods

Consecutive image-guided core needle biopsy results obtained over a 12 month period of time were reviewed in a retrospective fashion. Following implementation of the correlation conference, subsequent consecutive image-guided core needle biopsy results obtained over a 26 month period of time were reviewed in a prospective fashion. For non-diagnostic and discordant cases, the time in days from date of availability of the biopsy result to date of documentation of a specific follow-up action plan was recorded.

Results

Diagnostic yield was 96.5% and 94.9% for the retrospective and prospective periods, respectively. There were four discordant results in the retrospective cohort (1.7%) and seven discordant results in the prospective cohort (2.1%). Following implementation of the weekly correlation conference, there was significant decrease (p < 0.05) in median time from a discordant biopsy result to follow-up action plan. There were no unnecessary surgeries, litigation, or other unfavorable consequences in either cohort.

Conclusion

Image-guided core needle biopsies of bone and soft tissue provide high diagnostic yield, often with specific diagnoses. The statistically significant decrease in number of days to follow-up action plan for discordant results suggests radiology-pathology review has a positive impact on patient care. Subjective benefits from communication and educational standpoints are also noteworthy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Traina F, Errani C, Toscano A, et al. Current concepts in the biopsy of musculoskeletal tumors: AAOS exhibit selection. J Bone Joint Surg Am. 2015;97(2):e7.

    Article  Google Scholar 

  2. Yang J, Frassica FJ, Fayad L, Clark DP, Weber KL. Analysis of nondiagnostic results after image-guided needle biopsies of musculoskeletal lesions. Clin Orthop Relat Res. 2010;468(11):3103–11.

    Article  Google Scholar 

  3. Trieu J, Schlicht SM, Choong PF. Diagnosing musculoskeletal tumours: how accurate is CT-guided core needle biopsy? Eur J Surg Oncol. 2016;42(7):1049–56.

    Article  CAS  Google Scholar 

  4. Kim SY, Chung HW. Small musculoskeletal soft-tissue lesions: US-guided core needle biopsy--comparative study of diagnostic yields according to lesion size. Radiology. 2016;278(1):156–63.

    Article  Google Scholar 

  5. Sung KS, Seo SW, Shon MS. The diagnostic value of needle biopsy for musculoskeletal lesions. Int Orthop. 2009;33(6):1701–6.

    Article  Google Scholar 

  6. Rimondi E, Staals EL, Errani C, Bianchi G, Casadei R, AlberghiniM MMC, et al. Percutaneous CT-guided biopsy of the spine: results of 430 biopsies. Eur Spine J. 2008;17(7):975–81.

    Article  Google Scholar 

  7. Ashford RU, McCarthy SW, Scolyer RA, Bonar SF, Karim RZ, Stalley PD. Surgical biopsy with intra-operative frozen section. An accurate and cost-effective method for diagnosis of musculoskeletal sarcomas. J Bone Joint Surg Br. 2006;88(9):1207–11.

    Article  CAS  Google Scholar 

  8. Lopez JI, Del Cura JL, Zabala R, Bilbao FJ. Usefulness and limitations of ultrasound-guided core biopsy in the diagnosis of musculoskeletal tumours. APMIS. 2005;113(5):353–60.

    Article  Google Scholar 

  9. Liu PT, Valadez SD, Chivers FS, Roberts CC, Beauchamp CP. Anatomically based guidelines for core needle biopsy of bone tumors: implications for limb-sparing surgery. Radiographics. 2007;27(1):189–205.

    Article  Google Scholar 

  10. Issakov J, Flusser G, Kollender Y, Merimsky O, Lifschitz-Mercer B, Meller I. Computed tomography-guided core needle biopsy for bone and soft tissue tumors. Isr Med Assoc J. 2003;5(1):28–30.

    PubMed  Google Scholar 

  11. Hau A, Kim I, Kattapuram S, Hornicek FJ, Rosenberg AE, Gebhardt MC, et al. Accuracy of CT-guided biopsies in 359 patients with musculoskeletal lesions. Skelet Radiol. 2002;31(6):349–53.

    Article  Google Scholar 

  12. Torriani M, Etchebehere M, Amstalden E. Sonographically guided core needle biopsy of bone and soft tissue tumors. J Ultrasound Med. 2002;21(3):275–81.

    Article  Google Scholar 

  13. Virayavanich W, Ringler MD, Chin CT, et al. CT-guided biopsy of bone and soft-tissue lesions: role of on-site immediate cytologic evaluation. J Vasc Interv Radiol. 2011;22:1024–30.

    Article  Google Scholar 

  14. Wu JS, Goldsmith JD, Horwich PJ, Shetty SK, Hochman MG. Bone and soft-tissue lesions: what factors affect diagnostic yield of image-guided core-needle biopsy? Radiology. 2008;248:962–70.

    Article  Google Scholar 

  15. Didolkar MM, Anderson ME, Hochman MG, et al. Image guided core needle biopsy of musculoskeletal lesions: are nondiagnostic results clinically useful? Clin Orthop Relat Res 2013;471:3601–3609.

  16. Dupuy DE, Rosenberg AE, Punyaratabandhu T, Tan MH, Mankin HJ. Accuracy of CT-guided needle biopsy of musculoskeletal neoplasms. AJR Am J Roentgenol. 1998;171(3):759–62.

    Article  CAS  Google Scholar 

  17. Park VY, Kim EK, Moon HJ, Yoon JH, Kim MJ. Evaluating imaging-pathology concordance and discordance after ultrasound-guided breast biopsy. Ultrasonography. 2018;37(2):107–20.

    Article  CAS  Google Scholar 

  18. American College of Radiology. ACR practice parameter for communication of diagnostic imaging findings. 2014; Available at: https://www.acr.org/-/media/ACR/Files/Practice-Parameters/us-guidedbreast.pdf. Accessed June 25, 2019.

  19. American College of Radiology. ACR practice parameter for communication of diagnostic imaging findings. 2014; Available at: https://www.acr.org/-/media/ACR/Files/Practice-Parameters/stereo-breast.pdf. Accessed June 25, 2019.

  20. American Society of Breast Surgeons. Concordance assessment following image-guided breast biopsy. https://www.breastsurgeons.org/docs/statements/Concordance-Assessment-Following-Image-Guided-Breast-Biopsy.pdf. Accessed March 5, 2020.

  21. Schueller G, Schueller-Weidekamm C, Helbich TH. Accuracy of ultrasound-guided, large-core needle breast biopsy. Eur Radiol. 2008;18:1761–73.

    Article  CAS  Google Scholar 

  22. Parikh J, Tickman R. Image-guided tissue sampling: where radiology meets pathology. Breast J. 2005;11(6):403–9.

    Article  Google Scholar 

  23. Dane B, Doshi A, Gfytopoulos S, Bhattacharji P, Recht M, Moore W. Automated radiology-pathology module correlation using a novel report matching algorithm by organ system. Acad Radiol. 2018;25:673–80.

    Article  Google Scholar 

  24. Filippiadis DK, Charalampopoulos G, Mazioti A, Keramida K, Kelekis A. Bone and soft-tissue biopsies: what you need to know. Semin Interv Radiol. 2018;35:215–20.

    Article  Google Scholar 

  25. Wallace AN, McWilliams SR, Wallace A, et al. Drill-assisted biopsy of the axial and appendicular skeleton: safety, technical success, and diagnostic efficacy. J Vasc Interv Radiol. 2016;27(10):1618–22.

    Article  Google Scholar 

  26. Miquelestorena-Standley E, Jourdan ML, Collin C, et al. Effect of decalcification protocols on immunohistochemistry and molecular analyses of bone samples. Mod Pathol. 2020. https://doi.org/10.1038/s41379-020-0503-6.

  27. Ezuddin NS, Pretell-Mazzini J, Yechieli RL, Kerr DA, Wilky BA, Subhawong TK. Local recurrence of soft-tissue sarcoma: issues in imaging surveillance strategy. Skelet Radiol. 2018;47(12):1595–606.

    Article  Google Scholar 

  28. Porter ME. What is value in health care? N Engl J Med. 2010;363:2477–81.

    Article  CAS  Google Scholar 

  29. Ginat DT, Cipriani NA, Christoforidis G. Educational impact of trainee-facilitated head and neck radiology-pathology correlation conferences. Head Neck Pathol. 2019;13:177–81.

    Article  Google Scholar 

  30. Brady AP. Error and discrepancy in radiology: inevitable or avoidable? Insights Imaging. 2017;8:171–82.

    Article  Google Scholar 

  31. Prakash S, Venkataraman S, Slanetz PJ, et al. Improving patient care by incorporation of multidisciplinary breast radiology-pathology correlation conference. Can Assoc Radiol J. 2016;67:122–9.

    Article  Google Scholar 

  32. Rao VM, Levin DC. The value-added services of hospital-based radiology groups. J Am Coll Radiol 2011;8:626–630.

  33. Abramson RG, Berger PE, Brant-Zawadzki MN. Accountable care organizations and radiology: threat or opportunity? J Am Coll Radiol. 2012;9:900–6.

    Article  Google Scholar 

  34. Accordino MK, Wright JD, Vasan S, Neugut AI, Hillyer GC, Hershman DL. Factors and costs associated with delay in treatment initiation and prolonged length of stay with inpatient EPOCH chemotherapy in patients with hematologic malignancies. Cancer Investig. 2017;35:202–14.

    Article  CAS  Google Scholar 

  35. Filice RW. Radiology-pathology correlation to facilitate peer learning: an overview including recent artificial intelligence methods. J Am Coll Radiol. 2019;16:1279–85.

    Article  Google Scholar 

  36. Filice RW. Deep-learning language-modeling approach for automated, personalized, and iterative radiology-pathology correlation. J Am Coll Radiol. 2019;16:1286–91.

    Article  Google Scholar 

  37. Doshi AM, Huang C, Melamud K, et al. Utility of an automated radiology-pathology feedback tool. J Am Coll Radiol. 2019;16:1211–7.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hillary W. Garner.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Banks, J.S., Garner, H.W., Chow, A.Z. et al. Radiology-pathology correlation for bone and soft tissue tumors or tumor-like masses: single institutional experience after implementation of a weekly conference. Skeletal Radiol 50, 731–738 (2021). https://doi.org/10.1007/s00256-020-03616-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00256-020-03616-4

Keywords

Navigation