Skip to main content
Log in

Biopsy of the same organ within 30 days: a potential radiology performance measure

  • Practice
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To assess the potential value of repeat image-guided biopsy within 30 days as a radiology performance metric.

Methods

This was a HIPAA-compliant IRB-approved retrospective cohort study of all consecutive ultrasound- and CT-guided core biopsies of the chest, abdomen, and pelvis performed at one institution November 2016 to June 2020. The inclusion criterion was repeat biopsy of the same organ within 30 days of the initial biopsy. Details of both biopsies were recorded, including indication, organ, post-biopsy histology, performing service, performing provider. Histologic concordance between initial and repeat biopsies was calculated. Proportions and 95% confidence intervals were calculated.

Results

Repeat biopsy was performed after 1.9% (95% CI 1.5–2.4% [N = 89]) of 4637 initial biopsies. For structures with ≥ 100 biopsies performed, the repeat biopsy proportion ranged from 1.3% (5/378, US-guided renal biopsy) to 2.7% (11/413, CT-guided retroperitoneal biopsy). The most common indication for initial biopsy was possible malignancy (66% [59/89]). The most common indication for repeat biopsy was radiology–histology discrepancy (36% [32/89]). Repeat biopsies were more likely to show malignant cells and to have diagnostic tissue (Repeat: 48.3% malignant; 20.2% benign; 1.1% nondiagnostic; Initial: 25.8% malignant; 23.6% benign; 14.6% nondiagnostic). The most common histology difference after repeat biopsy was a change in malignant diagnosis (38.2% [34/89]).

Conclusion

Repeat percutaneous biopsy within 30 days of the same organ is uncommon (~ 2%), but when indicated, it commonly changes diagnosis and improves diagnostic yield. Repeat biopsy within 30 days is a potential performance measure for radiology procedure services.

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
Fig. 3

Similar content being viewed by others

Data availability

Anonymized data and material available.

References

  1. Keel G, Savage C, Rafiq M, Mazzocato P (2017) Time-driven activity-based costing in health care: A systematic review of the literature. Health Policy 121 (7):755-763. https://doi.org/10.1016/j.healthpol.2017.04.013

    Article  PubMed  Google Scholar 

  2. Blackmore CC (2007) Defining quality in radiology. J Am Coll Radiol 4 (4):217-223. https://doi.org/10.1016/j.jacr.2006.11.014

    Article  PubMed  Google Scholar 

  3. Waite S, Scott JM, Legasto A, Kolla S, Gale B, Krupinski EA (2017) Systemic Error in Radiology. AJR Am J Roentgenol 209 (3):629-639. https://doi.org/10.2214/AJR.16.17719

    Article  PubMed  Google Scholar 

  4. Moser JW, Wilcox PA, Bjork SS, Cushing T, Dennis M, Greissing JE, Keysor K, McKenzie J, Weinreb JC (2006) Pay for performance in radiology: ACR white paper. J Am Coll Radiol 3 (9):650-664. https://doi.org/10.1016/j.jacr.2006.06.002

    Article  PubMed  Google Scholar 

  5. Kruskal JB, Kung JW (2015) The 2015 RadioGraphics Monograph Issue: Quality, Safety, and Noninterpretive Skills. Radiographics 35 (6):1627-1629. https://doi.org/10.1148/rg.2015154013

    Article  PubMed  Google Scholar 

  6. Porter ME (2010) What Is Value in Health Care? N Engl J Med 363 (26):2477-2481

    Article  CAS  Google Scholar 

  7. Roper WL (2006) Consumers must drive quality health care. Am J Med Qual 21 (1):7-8. https://doi.org/10.1177/1062860605284295

    Article  PubMed  Google Scholar 

  8. Towbin AJ (2018) Customer Service in Radiology: Satisfying Your Patients and Referrers. Radiographics 38 (6):1872-1887. https://doi.org/10.1148/rg.2018180026

    Article  PubMed  Google Scholar 

  9. Dunnick NR, Applegate KE, Arenson RL (2007) Quality--a radiology imperative: report of the 2006 Intersociety Conference. J Am Coll Radiol 4 (3):156-161. https://doi.org/10.1016/j.jacr.2006.11.002

    Article  PubMed  Google Scholar 

  10. Sarwar A, Boland G, Monks A, Kruskal JB (2015) Metrics for Radiologists in the Era of Value-based Health Care Delivery. Radiographics 35 (3):866-876. https://doi.org/10.1148/rg.2015140221

    Article  PubMed  Google Scholar 

  11. Kruskal JB, Eisenberg R, Sosna J, Yam CS, Kruskal JD, Boiselle PM (2011) Quality initiatives: Quality improvement in radiology: basic principles and tools required to achieve success. Radiographics 31 (6):1499-1509. https://doi.org/10.1148/rg.316115501

    Article  PubMed  Google Scholar 

  12. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, Initiative S (2014) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Int J Surg 12 (12):1495-1499. https://doi.org/10.1016/j.ijsu.2014.07.013

    Article  Google Scholar 

  13. Sison PC, Glaz, J. (1995) Simultaneous Confidence Intervals and Sample Size Determination for Multinomial Proportions. Journal of the American Statistical Association 90:366-369

    Article  Google Scholar 

  14. R: A Language and Environment for Statistical Computing (2019). R Core Team, Vienna, Austria: R Foundation for Statistical Computing

    Google Scholar 

  15. RStudio: Integrated Development Environment for R (2019). RStudio Team, Boston, MA: RStudio, Inc

    Google Scholar 

  16. Davenport MS, Larson DB (2019) Measuring Diagnostic Radiologists: What Measurements Should We Use? J Am Coll Radiol 16 (3):333-335. https://doi.org/10.1016/j.jacr.2018.12.011

    Article  PubMed  Google Scholar 

  17. Rawson JV, Moretz J (2016) Patient- and Family-Centered Care: A Primer. J Am Coll Radiol 13 (12 Pt B):1544–1549. https://doi.org/10.1016/j.jacr.2016.09.003

  18. Imaging 3.0. American College of Radiology. www.acr.org/Practice-Management-Quality-Informatics/Imaging-3.

  19. Stiefel MN, K. (2012) A Guide to Measuring the Triple Aim: Population Health, Experience of Care, and Per Capita Cost. Institute for Healthcare Improvement

  20. Hayatghaibi SE, Davenport MS, Trout AT, Dillman JR (2019) Quantifying Value-Based Imaging. J Am Coll Radiol 16 (9 Pt A):1177–1178. https://doi.org/10.1016/j.jacr.2019.04.022

  21. Ma Y, Byrne SC, Gange C, Jr., Hunsaker AR, Hammer MM (2020) Radiologic-Pathologic Correlation for Nondiagnostic CT-Guided Lung Biopsies Performed for the Evaluation of Lung Cancer. AJR Am J Roentgenol 215 (1):116-120. https://doi.org/10.2214/AJR.19.22244

    Article  PubMed  Google Scholar 

  22. Barnett J, Pulzato I, Javed M, Lee YJ, Choraria A, Kemp SV, Rice A, Jordan S, Shah PL, Nicholson AG, Padley S, Devaraj A (2020) Radiological-pathological correlation of negative CT biopsy results enables high negative predictive value for thoracic malignancy. Clin Radiol. https://doi.org/10.1016/j.crad.2020.08.025

    Article  Google Scholar 

  23. Prakash S, Venkataraman S, Slanetz PJ, Dialani V, Fein-Zachary V, Littlehale N, Mehta TS (2016) Improving Patient Care by Incorporation of Multidisciplinary Breast Radiology-Pathology Correlation Conference. Can Assoc Radiol J 67 (2):122-129. https://doi.org/10.1016/j.carj.2015.07.003

    Article  Google Scholar 

  24. Liberman L, Drotman M, Morris EA, LaTrenta LR, Abramson AF, Zakowski MF, Dershaw DD (2000) Imaging-histologic discordance at percutaneous breast biopsy. Cancer 89 (12):2538-2546. https://doi.org/10.1002/1097-0142(20001215)89:12<2538::aid-cncr4>3.0.co;2-#

    Article  CAS  PubMed  Google Scholar 

  25. Bollig CA, Jorgensen JB, Zitsch RP, 3rd, Dooley LM (2019) Utility of Intraoperative Frozen Section in Large Thyroid Nodules. Otolaryngol Head Neck Surg 160 (1):49-56. https://doi.org/10.1177/0194599818802183

    Article  PubMed  Google Scholar 

  26. Bajracharya Shakya A, Jain V, Sekhon R, Rawal S, Mehta A (2018) Diagnostic Accuracy of Intraoperative Frozen Section in Ovarian Neoplasms: Experience in a Tertiary Oncology Centre. Kathmandu Univ Med J (KUMJ) 16 (63):259-262

    Google Scholar 

  27. Wallace MT, Lin PP, Bird JE, Moon BS, Satcher RL, Lewis VO (2019) The Accuracy and Clinical Utility of Intraoperative Frozen Section Analysis in Open Biopsy of Bone. J Am Acad Orthop Surg 27 (11):410-417. https://doi.org/10.5435/JAAOS-D-18-00071

    Article  Google Scholar 

  28. Chang KW, Noh SH, Park JY, Cho YE, Chin DK (2019) Retrospective Study on Accuracy of Intraoperative Frozen Section Biopsy in Spinal Tumors. World Neurosurg 129:e152-e157. https://doi.org/10.1016/j.wneu.2019.05.080

    Article  PubMed  Google Scholar 

  29. Ratnavelu ND, Brown AP, Mallett S, Scholten RJ, Patel A, Founta C, Galaal K, Cross P, Naik R (2016) Intraoperative frozen section analysis for the diagnosis of early stage ovarian cancer in suspicious pelvic masses. Cochrane Database Syst Rev 3:CD010360. https://doi.org/10.1002/14651858.CD010360.pub2

  30. Kwiecien G, George J, Klika AK, Zhang Y, Bauer TW, Rueda CA (2017) Intraoperative Frozen Section Histology: Matched for Musculoskeletal Infection Society Criteria. J Arthroplasty 32 (1):223-227. https://doi.org/10.1016/j.arth.2016.06.019

    Article  PubMed  Google Scholar 

  31. Doshi AM, Huang C, Melamud K, Shanbhogue K, Slywotsky C, Taffel M, Moore W, Recht M, Kim D (2019) Utility of an Automated Radiology-Pathology Feedback Tool. J Am Coll Radiol 16 (9 Pt A):1211–1217. https://doi.org/10.1016/j.jacr.2019.03.001

Download references

Funding

No financial or grant support was received for this study.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to conception and/or design of the work, the writing and/or revision of the manuscript, approved the final version of the manuscript, and are accountable for the manuscript’s contents.

Corresponding author

Correspondence to Sonia Gaur.

Ethics declarations

Conflict of interest

Sonia Gaur, Prasad R. Shankar, Ellen Higgins, Angy Perez Martinez, and Elizabeth Lee have no conflicts of interest or financial disclosures. Matthew S. Davenport reports unrelated royalties from Wolters Kluwer.

Ethical approval

This retrospective study was reviewed by the University of Michigan Institutional Review Board (HUM00183394) and approved with notice of exemption. This study was deemed secondary research for which consent is not required. The methods are in accordance with the ethical standards of our institution and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

This project was deemed secondary research for which consent is not required.

Additional information

Publisher's Note

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

Electronic supplementary material

Below is the link to the electronic supplementary material.

Electronic supplementary material 1 (PDF 152 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gaur, S., Shankar, P.R., Higgins, E. et al. Biopsy of the same organ within 30 days: a potential radiology performance measure. Abdom Radiol 46, 4509–4515 (2021). https://doi.org/10.1007/s00261-021-03103-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-021-03103-x

Keywords

Navigation