Assessment of the Intraoperative Consultation Service Rendered by General Pathologists in a Scenario Where a Well-Defined Decision Algorithm Is Followed

Mahmoud A. Khalifa, Sherine Salama, Rachel I. Vogel, Molly E. Klein, James Richter, Tanya Pulver, Sally A. Mullany, Boris Winterhoff

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Objectives: Intraoperative consultation (IOC) remains an area of general practice even within subspecialized pathology departments. This study assesses the IOCs rendered in a general pathology setting where surgeons integrate these results in a well-defined algorithm, developed with the input of specialized pathologists. Methods: The surgical decisions to perform lymphadenectomy in patients with endometrial adenocarcinoma operated on at our institution between January 2003 and June 2015 as a result of the IOC assessment of tumor size, histologic grade, and depth of invasion in the hysterectomy specimen were analyzed. Results: Frozen section (FS) was examined in 801 cases. In comparison to permanent section analysis, FS International Federation of Gynecology and Obstetrics (FIGO) grade had an overall accuracy of 0.95 (95% confidence interval [CI], 0.93-0.98). The FS depth of invasion had an overall accuracy of 0.92 (95% CI, 0.89-0.94). FIGO grade was not documented in 47.8%, the depth of myometrial invasion in 45.2%, and tumor size in 41.8% of the pathology reports. Conclusions: The high omission rate of the needed parameters by the general pathologists would question their overall understanding of the paradigm shift intended by this algorithm. Possible explanations of this phenomenon and potential solutions are discussed.

Original languageEnglish (US)
Pages (from-to)322-326
Number of pages5
JournalAmerican journal of clinical pathology
Volume147
Issue number3
DOIs
StatePublished - Mar 1 2017

Bibliographical note

Publisher Copyright:
© American Society for Clinical Pathology, 2017. All rights reserved.

Keywords

  • Intraoperative consultation
  • anatomic pathology quality
  • dcision algorithms
  • frozen sections
  • general pathologists
  • subspecialization in pathology

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