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A Novel Sonographic Scoring Model in the Prediction of Major Salivary Gland Tumors
Objectives To create a sonographic scoring model in the prediction of major salivary gland tumors and to assess the utility of this predictive model. Study Design Retrospective case series, academic tertiary referral center. Methods Two hundred fifty‐nine patients who underwent ultrasound (US), US‐g...
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Published in: | The Laryngoscope 2021-01, Vol.131 (1), p.E157-E162 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objectives
To create a sonographic scoring model in the prediction of major salivary gland tumors and to assess the utility of this predictive model.
Study Design
Retrospective case series, academic tertiary referral center.
Methods
Two hundred fifty‐nine patients who underwent ultrasound (US), US‐guided needle biopsies, and subsequent operations were enrolled. These data were used to build a predictive scoring model and the model was validated by 10‐fold cross‐validation.
Results
We constructed a sonographic scoring model by multivariate logistic regression analysis: 2.08 × (boundary) + 1.75 × (regional lymphadenopathy) + 1.18 × (shape) + 1.45 × (posterior acoustic enhancement) + 2.4 × (calcification). The optimal cutoff score was 3, corresponding to 70.2% sensitivity, 93.9% specificity, and 89.6% overall accuracy. The mean areas under the receiver operating characteristic curve (c‐statistic) in 10‐fold cross‐validation was 0.90.
Conclusions
The constructed predictive scoring model is beneficial for patient counseling under US exam and feasible to provide us the guidance on which kind of needle biopsy should be performed in major salivary gland tumors.
Level of Evidence
3b Laryngoscope, 131:E157–E162, 2021 |
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ISSN: | 0023-852X 1531-4995 |
DOI: | 10.1002/lary.28591 |