Journal of Digital Imaging

, Volume 30, Issue 6, pp 681–686 | Cite as

PathBot: A Radiology-Pathology Correlation Dashboard

  • Linda C. Kelahan
  • Amit D. Kalaria
  • Ross W. Filice


Pathology is considered the “gold standard” of diagnostic medicine. The importance of radiology-pathology correlation is seen in interdepartmental patient conferences such as “tumor boards” and by the tradition of radiology resident immersion in a radiologic-pathology course at the American Institute of Radiologic Pathology. In practice, consistent pathology follow-up can be difficult due to time constraints and cumbersome electronic medical records. We present a radiology-pathology correlation dashboard that presents radiologists with pathology reports matched to their dictations, for both diagnostic imaging and image-guided procedures. In creating our dashboard, we utilized the RadLex ontology and National Center for Biomedical Ontology (NCBO) Annotator to identify anatomic concepts in pathology reports that could subsequently be mapped to relevant radiology reports, providing an automated method to match related radiology and pathology reports. Radiology-pathology matches are presented to the radiologist on a web-based dashboard. We found that our algorithm was highly specific in detecting matches. Our sensitivity was slightly lower than expected and could be attributed to missing anatomy concepts in the RadLex ontology, as well as limitations in our parent term hierarchical mapping and synonym recognition algorithms. By automating radiology-pathology correlation and presenting matches in a user-friendly dashboard format, we hope to encourage pathology follow-up in clinical radiology practice for purposes of self-education and to augment peer review. We also hope to provide a tool to facilitate the production of quality teaching files, lectures, and publications. Diagnostic images have a richer educational value when they are backed up by the gold standard of pathology.


Dashboard Medical records systems Radiology-pathology correlation Radiology teaching files Radiology workflow RadLex 



The authors would like to acknowledge and thank Kristen Kalaria for her help with manuscript preparation.

Compliance with Ethical Standards

Our study met the criteria for exemption from approval by the institutional review board at our institution.


  1. 1.
    Hammer MM, Shetty AS, Cizman Z, et al.: Results of the 2015 survey of the American alliance of academic chief residents in radiology. Acad Radiol. 22(10):1308–1316, 2015. doi: 10.1016/j.acra.2015.07.007.CrossRefPubMedGoogle Scholar
  2. 2.
    Health C for D and R. Regulations (MQSA)—Mammography Quality Standards Act (MQSA): Accessed March 13, 2017.
  3. 3.
    Jackson VP, Cushing T, Abujudeh HH, et al.: RADPEER scoring white paper. J Am Coll Radiol. 6(1):21–25, 2009. doi: 10.1016/j.jacr.2008.06.011.CrossRefPubMedGoogle Scholar
  4. 4.
    Verma N, Hippe DS, Robinson JD: JOURNAL CLUB: assessment of interobserver variability in the peer review process: should we agree to disagree? Am J Roentgenol. 207(6):1215–1222, 2016. doi: 10.2214/AJR.16.16121.CrossRefGoogle Scholar
  5. 5.
    Bender LC, Linnau KF, Meier EN, Anzai Y, Gunn ML: Interrater agreement in the evaluation of discrepant imaging findings with the Radpeer system. Am J Roentgenol. 199(6):1320–1327, 2012. doi: 10.2214/AJR.12.8972.CrossRefGoogle Scholar
  6. 6.
    Forman HP, Larson DB, Kazerooni EA, et al.: Masters of radiology panel discussion: defining a quality dashboard for radiology—what are the right metrics? Am J Roentgenol. 200(4):839–844, 2013. doi: 10.2214/AJR.12.10469.CrossRefGoogle Scholar
  7. 7.
    Kohli MD, Kamer AP: Story of Stickr —design and usage of an automated biopsy follow up tool. In: Story of Stickr—Design and Usage of an Automated Biopsy Follow Up Tool.; 2014. Accessed March 12, 2017.
  8. 8.
    Rubin DL, Desser TS: A data warehouse for integrating radiologic and pathologic data. J Am Coll Radiol. 5(3):210–217, 2008. doi: 10.1016/j.jacr.2007.09.004.CrossRefPubMedGoogle Scholar
  9. 9.
    Jonquet C, Shah NH, Musen MA: The open biomedical annotator. Summit on Translat Bioinforma. 2009:56–60, 2009. Accessed March 13, 2017.PubMedPubMedCentralGoogle Scholar
  10. 10.
    Langlotz CP: RadLex: a new method for indexing online educational materials. Radiographics. 26(6):1595–1597, 2006. doi: 10.1148/rg.266065168.CrossRefPubMedGoogle Scholar
  11. 11.
    Mansoori B, Novak RD, Sivit CJ, Ros PR: Utilization of dashboard technology in academic radiology departments: results of a national survey. J Am Coll Radiol 10(4):283–288.e3, 2013. doi: 10.1016/j.jacr.2012.09.030.CrossRefPubMedGoogle Scholar
  12. 12.
    Gorniak RJT, Flanders AE, Sharpe RE: Trainee report dashboard: tool for enhancing feedback to radiology trainees about their reports. Radiographics. 33(7):2105–2113, 2013. doi: 10.1148/rg.337135705.CrossRefPubMedGoogle Scholar
  13. 13.
    Sharpe RE, Surrey D, Gorniak RJT, Nazarian L, Rao VM, Flanders AE: Radiology report comparator: a novel method to augment resident education. J Digit Imaging. 25(3):330–336, 2012. doi: 10.1007/s10278-011-9419-5.CrossRefPubMedGoogle Scholar
  14. 14.
    Kelahan LC, Fong A, Ratwani RM, Filice RW: Call case dashboard: tracking R1 exposure to high-acuity cases using natural language processing. J Am Coll Radiol. 13(8):988–991, 2016. doi: 10.1016/j.jacr.2016.03.012.CrossRefPubMedGoogle Scholar
  15. 15.
    Kalaria AD, Filice RW: Comparison-bot: an automated preliminary-final report comparison system. J Digit Imaging. 2015. doi: 10.1007/s10278-015-9840-2.PubMedCentralGoogle Scholar
  16. 16.
    Do BH, Wu A, Biswal S, Kamaya A, Rubin DL: Informatics in radiology: RADTF: a semantic search–enabled, natural language processor–generated radiology teaching file. RadioGraphics. 30(7):2039–2048, 2010. doi: 10.1148/rg.307105083.CrossRefPubMedGoogle Scholar

Copyright information

© Society for Imaging Informatics in Medicine 2017

Authors and Affiliations

  • Linda C. Kelahan
    • 1
  • Amit D. Kalaria
    • 1
  • Ross W. Filice
    • 1
    • 2
  1. 1.Department of RadiologyMedStar Georgetown University HospitalWashington, DCUSA
  2. 2.MedStar Medical Group RadiologyWashington, D.CUSA

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