Original article
Efficacy of identifying maxillofacial lesions in cone-beam computed tomographs by orthodontists and orthodontic residents with third-party software

https://doi.org/10.1016/j.ajodo.2011.10.025Get rights and content

Introduction

The purpose of this study was to determine the ability of orthodontists and orthodontic residents to identify nonorthodontic incidental findings and false positives in cone-beam computed tomography scans.

Methods

Two groups of 10 cone-beam computed tomography scans containing equal numbers of scans with no, 1, or several abnormal nonorthodontic lesions were selected from a database. Eight orthodontists and 8 orthodontic residents screened the 2 groups of scans before and after a basic cone-beam computed tomography training course. The paired t test was used for statistical analyses.

Results

In the initial screening, the orthodontists and residents correctly identified 41.1% of the lesions. This lesion-detection rate improved significantly to a mean of 56.7% after the training course (P <0.0005). In parallel with these findings, the mean percentage of correctly identified extragnathic lesions improved significantly, from 22% to 48% (P <0.0005), and correctly identified temporomandibular joint lesions improved from 20% to 55% (P = 0.01) after the training. In contrast, the rate of correctly identified dentomaxillofacial lesions remained largely unchanged before and after the training. Both groups of evaluators had approximately 5 false positives per 10 scans before training and demonstrated significant decreases in false positives after training.

Conclusions

Relative to known error rates in medical radiology, both groups of evaluators had high error rates for missed lesions and false positives before and after training. Given these findings and since the most frequent cause of medical radiology malpractice litigation is due to missed lesions, it is recommended that an appropriately trained radiologist should be involved in reading and interpreting cone-beam computed tomography scans.

Section snippets

Material and methods

This study was approved by the Institutional Review Board at the University of Michigan, Ann Arbor (approval number HUM00016717). Twenty scans were selected by an oral maxillofacial radiologist from a database of CBCT scans at the Department of Oral Radiology. All the scans were taken with the i-CAT (Xoran Technologies and Imaging Sciences International, Hatfield, Pa) CBCT scanner. The images were taken at 120 kVp, 18.66 mAs, with image resolution of 0.4 mm voxels. The 20 scans were divided

Results

All evaluators reported either no or limited experience and no professional training in reading CBCT scans before participating in this study. Since the 2 groups of evaluators screened either the group A or B scans before or after the CBCT training (Fig 1), a statistical analysis was performed to assess whether the scan assignment influenced the outcomes. This analysis showed no significant differences in the mean lesion-detection rates before or after the CBCT training between the 2 groups of

Discussion

A key aspect of our study was the rationale for the 2 groups of examiners selected to evaluate the scans. Current legislation in most states does not require the doctor to demonstrate any particular level of training or competence in reading CBCT scans before owning or using a CBCT unit. Because of this, we chose a “no or minimal experience” baseline knowledge of the examiners in evaluating CBCT images to simulate the rate of lesion detection that could potentially result from the current

Conclusions

Although the use of more than 1 radiologist to serve as a gold standard would have further strengthened our conclusions, our findings show high error rates by orthodontists and residents of missed incidental lesions and false-positive diagnoses during their interpretation of CBCT scans. Although the rates of correctly identified incidental findings, particularly for extragnathic and temporomandibular joint lesions, were significantly improved after training, the 43% total of missed lesion

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