EUS-derived criteria for distinguishing benign from malignant metastatic solid hepatic masses Article

International Collaboration

cited authors

  • Fujii-Lau, Larissa L., Abu Dayyeh, Barham K., Bruno, Marco J., Chang, Kenneth J., DeWitt, John M., Fockens, Paul, Forcione, David, Napoleon, Bertrand, Palazzo, Laurent, Topazian, Mark D., Wiersema, Maurits J., Chak, Amitabh, Clain, Jonathan E., Faigel, Douglas O., Gleeson, Ferga C., Hawes, Robert, Iyer, Prasad G., Rajan, Elizabeth, Stevens, Tyler, Wallace, Michael B., Wang, Kenneth K., Levy, Michael J.

funding text

  • This publication was made possible by CTSA grant UL1 TR000135 from the National Center for Advancing Translational Sciences, a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the NIH. No other financial relationships relevant to this article were disclosed.

abstract

  • Background: Detection of hepatic metastases during EUS is an important component of tumor staging. Objective: To describe our experience with EUS-guided FNA (EUS-FNA) of solid hepatic masses and derive and validate criteria to help distinguish between benign and malignant hepatic masses. Design: Retrospective study, survey. Setting: Single, tertiary-care referral center. Patients: Medical records were reviewed for all patients undergoing EUS-FNA of solid hepatic masses over a 12-year period. Interventions: EUS-FNA of solid hepatic masses. Main Outcome Measurements: Masses were deemed benign or malignant according to predetermined criteria. EUS images from 200 patients were used to create derivation and validation cohorts of 100 cases each, matched by cytopathologic diagnosis. Ten expert endosonographers blindly rated 15 initial endosonographic features of each of the 100 images in the derivation cohort. These data were used to derive an EUS scoring system that was then validated by using the validation cohort by the expert endosonographer with the highest diagnostic accuracy. Results: A total of 332 patients underwent EUS-FNA of a hepatic mass. Interobserver agreement regarding the initial endosonographic features among the expert endosonographers was fair to moderate, with a mean diagnostic accuracy of 73% (standard deviation 5.6). A scoring system incorporating 7 EUS features was developed to distinguish benign from malignant hepatic masses by using the derivation cohort with an area under the receiver operating curve (AUC) of 0.92; when applied to the validation cohort, performance was similar (AUC 0.86). The combined positive predictive value of both cohorts was 88%. Limitations: Single center, retrospective, only one expert endosonographer deriving and validating the EUS criteria. Conclusion: An EUS scoring system was developed that helps distinguish benign from malignant hepatic masses. Further study is required to determine the impact of these EUS criteria among endosonographers of all experience.

authors

Publication Date

  • May 1, 2015

webpage

published in

category

start page

  • 1188

end page

  • U491

volume

  • 81

issue

  • 5

WoS Citations

  • 4

WoS References

  • 25