Value-based analysis of routine pathologic septal and inferior turbinate specimens.
Publication/Presentation Date
3-1-2013
Abstract
OBJECTIVE: To determine the frequency and clinical relevance of unanticipated histopathologic results in routine sinonasal surgery and evaluate the necessity for histologic processing of nasal septal cartilage, bone, and inferior turbinate specimens.
STUDY DESIGN: Case series with chart review.
SETTING: Tertiary care academic medical center.
SUBJECTS AND METHODS: A retrospective review of surgical pathology reports on adult patients undergoing sinonasal surgery during a 5-year period from 2005 to 2010 was performed. All cases with the preoperative diagnosis of sinonasal neoplasia, autoimmune disease, or directed septal biopsies were excluded from review.
RESULTS: A total of 1194 pathology reports were reviewed from 1172 individual patients. This included histopathologic evaluation of 1194 septal cartilage and bone specimens and 714 inferior turbinate specimens. None of the patients had unanticipated histopathologic findings that were clinically significant.
CONCLUSION: Many surgeons obtain histopathologic diagnoses on all tissue removed from a patient. Based on our institutional case series, histopathology of the septum and inferior turbinates in routine sinonasal cases may not be necessary. A value-based approach to processing grossly unremarkable septal and turbinate tissue by waiving histologic processing and subsequent microscopic evaluation could provide significant cost savings.
Volume
148
Issue
3
First Page
509
Last Page
512
ISSN
1097-6817
Published In/Presented At
Daniero, J. J., Chu, J. S., O'Hara, B. J., & Pribitkin, E. A. (2013). Value-based analysis of routine pathologic septal and inferior turbinate specimens. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 148(3), 509–512. https://doi.org/10.1177/0194599812472656
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
23314161
Department(s)
Administration and Leadership
Document Type
Article