Related Experiment Video
Updated: Feb 2, 2026

Endoscopic Septoplasty with Limited Two-line Resection: Minimally Invasive Surgery for Septal Deviation
Published on: June 20, 2018
Impact of Septal Deviation on Recurrent Chronic Rhinosinusitis after Primary Surgery: A Matched Case-Control Study
Terence Fu1, Daniel Lee1, Jonathan Yip1
11 Division of Rhinology, Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Objective:
To evaluate the impact of untreated deviated nasal septum (DNS) on recalcitrant chronic rhinosinusitis (CRS) among patients undergoing revision endoscopic sinus surgery (ESS).
Study Design:
Case-control study.
Setting:
Tertiary academic center.
Subjects And Methods:
We performed a retrospective review of 489 patients undergoing revision ESS for CRS at a tertiary academic center. Patients undergoing septoplasty were matched to nonseptoplasty controls based on age and sex. Preoperative Lund-Mackay score (LMS) was compared between cohorts. Linear regression was used to identify predictors of LMS and ostiomeatal complex (OMC) obstruction.
Results:
Thirty-six matched pairs (72 patients) were selected for analysis: 36 undergoing septoplasty and revision ESS and 36 undergoing revision ESS alone. Compared with nonseptoplasty controls, the septoplasty group had a significantly higher average LMS (17.8 vs 14.6, P = .02) and a greater rate of OMC obstruction (89% vs 61%, P < .01). The septoplasty group also had significantly higher opacification scores in the maxillary (1.5 vs 1.2, P = .03) and posterior ethmoid (1.8 vs 1.4, P = .02) sinuses. On multivariable analysis, DNS was an independent predictor of LMS ( P = .02) and OMC obstruction ( P < .01).
Conclusion:
Untreated DNS is associated with radiographic markers of CRS severity among patients undergoing revision ESS and may contribute to the multifactorial pathogenesis of persistent CRS.
Related Concept Videos
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in...
Drug Control Governance: Regulatory Bodies and Their Impact
Standard Deviation
Mean Absolute Deviation
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
Variation: Normal Distribution, Range, and Standard Deviation
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

