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The Effect of Clinical History on Diagnostic Performance of Endodontic Cone-beam CT Interpretation

Overview
Journal Clin Radiol
Specialty Radiology
Date 2023 Jan 26
PMID 36702710
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Abstract

Aim: To assess the effect of clinical history on the interpretation of endodontic disease in dental cone-beam computed tomography (CBCT).

Materials And Methods: A reader performance study of an image test-set was undertaken using a factorial, free-response, crossover design, accounting for the independent variables: case type, case severity, reader type, and reading modality. Twenty-three readers interpreted 60 CBCT images twice over two reading sessions using a balanced design, once with access to clinical history and once without, where 30 in each session included history. Lesion localisations, specificity, false-positive marks and the weighted alternative free-response receiver operating characteristic (wAFROC1) figure of merit were calculated.

Results: Clinical history had no significant effect on specificity and false-positive rates in non-diseased cases (p>0.05), but improved lesion localisation in subtle and obvious diseased cases (p<0.01). wAFROC1 values were higher with clinical history for subtle (0.58 versus 0.48; p<0.001) and obvious (0.77 versus 0.71; p=0.006) diseased categories. No associations were observed between clinical history and both readers' years of experience and reading volume in the non-diseased categories. Readers with fewer (p=0.03) and moderate (p=0.008) years of experience and low (p=0.002) CBCT reading volume demonstrated better lesion localisation in subtle diseased cases when clinical history was available.

Conclusions: Clinical history improved the interpretation of CBCT images with disease without affecting the interpretation of images without disease. Less and moderately experienced readers and low-volume readers benefitted more from availability of clinical history.

Citing Articles

Clinical history and incidental abnormality detection in endodontic cone beam computed tomography.

Yapp K, Ekpo E J Med Imaging (Bellingham). 2023; 10(4):045502.

PMID: 37529625 PMC: 10390029. DOI: 10.1117/1.JMI.10.4.045502.