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Towards better metainterpretation: improving the clinician’s interpretation of the radiology report

  • Kevin M. Johnson EMAIL logo
Published/Copyright: July 20, 2020

Abstract

How the clinician interprets the radiology report has a major impact on the patient’s care. It is a crucial cognitive task, and can also be a significant source of error. Because the clinician must secondarily interpret the radiologist’s interpretation of the images, this step can be referred to as a “metainterpretation”. Some considerations for that task are offered from the perspective of a radiologist. A revival of the tradition of discussing cases with the radiologist is encouraged.


Corresponding author: Kevin M. Johnson, MD, Associate Professor, Department of Radiology and Biomedical Imaging, Yale School of Medicine Thompkins, East 2 333 Cedar Street, New Haven, CT, 06520, USA, Phone: 203 430 9798, E-mail:

Acknowledgments

The author would like to acknowledge helpful discussions with Thilan Wijesekera, M.D.

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

References

1. Moja, L, Kwag, KH, Lytras, T, Bertizzolo, L, Brandt, L, Pecoraro, V, et al. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Publ Health 2014;104:E12–22. https://doi.org/10.2105/ajph.2014.302164.Search in Google Scholar PubMed PubMed Central

2. Fatahi, N, Krupic, F, Hellstro, M. Quality of radiologists’ communication with other clinicians as experienced by radiologists. Patient Educ Counsel 2015;98:722–7. https://doi.org/10.1016/j.pec.2015.02.009.Search in Google Scholar PubMed

3. Loy, CT. Accuracy of diagnostic tests read with and without clinical information. J Am Med Assoc 2000;292;1602–9. https://doi.org/10.1001/jama.292.13.1602.Search in Google Scholar PubMed

4. Leslie, A, Jones, AJ, Goddard, PR. The influence of clinical information on the reporting of CT by radiologists. Br J Radiol 2000;73:1052–5. https://doi.org/10.1259/bjr.73.874.11271897.Search in Google Scholar PubMed

5. Johnson, KM Using Bayes’ rule in diagnostic testing: a graphical explanation. Diagnosis 2017;4:159–67, De Gruyter Publications. https://doi.org/10.1515/dx-2017-0011.Search in Google Scholar PubMed

6. Rosenkrantz, AB, Smith, SW, Recht, MP, Horwitz, LI. Perceptions of radiologists and emergency medicine providers regarding the quality, value, and challenges of outside image sharing in the emergency department setting. AJR Am J Roentgenol 2020;214:843–52. https://doi.org/10.2214/ajr.19.22096.Search in Google Scholar

7. Donald, JJ, Stuart, A, Barnard, SA. Common patterns in 558 diagnostic radiology errors. J Med Imag Radiat Oncol 2012;56:173–8. https://doi.org/10.1111/j.1754-9485.2012.02348.x.Search in Google Scholar PubMed

8. Degnan, AJ, Ghobadi, EH, Hardy, P, Krupinski, E, Scali, EP, Stratchko, L, et al. Perceptual and interpretive error in diagnostic radiology - causes and potential solutions. Acad Radiol 2019;26:833–45. https://doi.org/10.1016/j.acra.2018.11.006.Search in Google Scholar PubMed

9. Waite, S, Scott, JM, Legasto, A, Kolla, S, Gale, B, Krupinski, EA. Systemic error in radiology. AJR Am J Roentgenol 2017;209:629–39. https://doi.org/10.2214/ajr.16.17719.Search in Google Scholar PubMed

10. Bruno, MA, Walker, EA, Abujudeh, HH. Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction. RadioGraphics 2015;35:1668–76. https://doi.org/10.1148/rg.2015150023.Search in Google Scholar PubMed

11. Bruno, MA, Petscavage-Thomas, J, Abujudeh, HH. Communicating uncertainty in the radiology report. AJR Am J Roentgenol 2017;209:1006–8. https://doi.org/10.2214/ajr.17.18271.Search in Google Scholar

12. Khorasani, R, Bates, DW, Teeger, S, Rothschild, JM, Adams, DF, Seltzer, SE. Is terminology used effectively to convey diagnostic certainty in radiology reports?. Acad Radiol 2003;10:685–8. https://doi.org/10.1016/s1076-6332(03)80089-2.Search in Google Scholar

13. Rosenkrantz, AB. Differences in perceptions among radiologists, referring physicians, and patients regarding language for incidental findings reporting. AJR Am J Roentgenol 2017;208:140–3. https://doi.org/10.2214/ajr.16.16633.Search in Google Scholar PubMed

14. Hillman, BJ. Speaking of language. J Am Coll Radiol 2015;12:544. https://doi.org/10.1016/j.jacr.2015.03.013.Search in Google Scholar PubMed

15. Kabadi, SJ, Krishnaraj, A. Strategies for improving the value of the radiology report: a retrospective analysis of errors in formally over-read studies. J Am Coll Radiol 2017;14:459–66. https://doi.org/10.1016/j.jacr.2016.08.033.Search in Google Scholar PubMed

16. Pandharipande, PV, Herts, BR, Gore, RM, Mayo-Smith, WW, Harvey, HB, Megibow, AJ, et al. Rethinking normal: benefits and risks of not reporting harmless incidental findings. J Am Coll Radiol 2016;13:764–7. https://doi.org/10.1016/j.jacr.2016.06.045.Search in Google Scholar PubMed

17. Al-Mutairi, A, Meyer, AND, Chang, P, Singh, H. Lack of timely follow-up of abnormal imaging results and radiologists’ recommendations. J Am Coll Radiol 2015;12:385–9. https://doi.org/10.1016/j.jacr.2014.09.031.Search in Google Scholar PubMed

18. Kim, YW, Mansfield, LT. Fool me twice: delayed diagnoses in radiology with emphasis on perpetuated errors. AJR Am J Roentgenol 2014;202:465–70. https://doi.org/10.2214/AJR.13.11493.Search in Google Scholar PubMed

19. Siewert, B, Brook, OR, Hochman, M, Eisenberg, RL. Impact of communication errors in radiology on patient care, customer satisfaction, and work-flow efficiency. AJR Am J Roentgenol 2016;206:573–9. https://doi.org/10.2214/ajr.15.15117.Search in Google Scholar

20. Gunderman, RB, Chou, HY. The future of radiology consultation. Radiology 2016;281:6–9. https://doi.org/10.1148/radiol.2016152781.Search in Google Scholar PubMed

21. Paz, D. The radiologist as a physician consultant. J Am Coll Radiol 2010;7:664–6. https://doi.org/10.1016/j.jacr.2010.01.017.Search in Google Scholar PubMed

22. Bilyj, B. A direct line to radiologists. American College of Radiology, Imaging 3.0 in Practice, Reston, Virginia, USA; September 2018.Search in Google Scholar

23. Rosenkrantz, AB, Sherwin, J, Prithiani, CP, Ostrow, D, Recht, MP. Technology-assisted virtual consultation for medical imaging. J Am Coll Radiol 2016;8:995–1002. https://doi.org/10.1016/j.jacr.2016.02.029.Search in Google Scholar PubMed

24. Abujudeh, HH, Boland, GW, Kaewlai, R, Rabiner, P, Halpern, EF, Gazelle, GS, et al. Abdominal and pelvic computed tomography (CT) interpretation: discrepancy rates among experienced radiologists. Eur Radiol 2010;20:1952–7. https://doi.org/10.1007/s00330-010-1763-1.Search in Google Scholar PubMed

25. Pow, RE, Mello-Thoms, C, Brennan, P. Evaluation of the effect of double reporting on test accuracy in screening and diagnostic imaging studies: a review of the evidence. J Med Imag Radiat Oncol 2016;60:306–14. https://doi.org/10.1111/1754-9485.12450.Search in Google Scholar PubMed

26. Lauritzen, PM, Andersen, JG, Stokke, MV, Tennstrand, AL, Aamodt, R, Heggelund, T, et al. Radiologist-initiated double reading of abdominal CT: retrospective analysis of the clinical importance of changes to radiology reports. BMJ Qual Saf 2016;25:595–603. https://doi.org/10.1136/bmjqs-2015-004536.Search in Google Scholar PubMed PubMed Central

27. Dendl, LM, Teufel, A, Schleder, S, Rennert, J, Stroszczynski, C, Mueller-Schilling, M, et al. Analysis of radiological case presentations and their impact on therapy and treatment concepts in internal medicine. Fortschr Röntgenstr 2017;189:239–46. https://doi.org/10.1055/s-0042-118884.Search in Google Scholar PubMed

28. Dickerson, EC, Alam, HB, Brown, RKJ, Stojanovska, J. In-person communication between radiologists and acute care surgeons leads to significant alterations in surgical decision making. J Am Coll Radiol 2016;13:943–9. https://doi.org/10.1016/j.jacr.2016.02.005.Search in Google Scholar PubMed

Received: 2020-06-09
Accepted: 2020-06-17
Published Online: 2020-07-20
Published in Print: 2021-08-26

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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