Do panoramic radiographs offer improved diagnostic accuracy over clinical examination and other radiographic techniques in children?

Timms, Laura; Deery, Chris

doi:10.1038/s41432-021-0194-y

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…[ 9 ] For example, it has been reported that clinicians’ diagnostic accuracy when using panoramic radiography for detecting condylar fractures is about 70%. [ 10 ] In spite of these problems, only a limited number of studies have used AI algorithms to detect maxillofacial traumas. [ 11 12 ]…”

Section: Introductionmentioning

confidence: 99%

The application of artificial neural networks in the detection of mandibular fractures using panoramic radiography

Shahnavazi

Mohamadrahimi

2023

Dental Research Journal

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Background: Panoramic radiography is a standard diagnostic imaging method for dentists. However, it is challenging to detect mandibular trauma and fractures in panoramic radiographs due to the superimposed facial skeleton structures. The objective of this study was to develop a deep learning algorithm that is capable of detecting mandibular fractures and trauma automatically and compare its performance with general dentists. Materials and Methods: This is a retrospective diagnostic test accuracy study. This study used a two-stage deep learning framework. To train the model, 190 panoramic images were collected from four different sources. The mandible was first segmented using a U-net model. Then, to detect fractures, a model named Faster region-based convolutional neural network was applied. In the end, a comparison was made between the accuracy, specificity, and sensitivity of artificial intelligence and general dentists in trauma diagnosis. Results: The mAP50 and mAP75 for object detection were 98.66% and 57.90%, respectively. The classification accuracy of the model was 91.67%. The sensitivity and specificity of the model were 100% and 83.33%, respectively. On the other hand, human-level diagnostic accuracy, sensitivity, and specificity were 87.22 ± 8.91, 82.22 ± 16.39, and 92.22 ± 6.33, respectively. Conclusion: Our framework can provide a level of performance better than general dentists when it comes to diagnosing trauma or fractures.

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Section: Introductionmentioning

confidence: 99%

The application of artificial neural networks in the detection of mandibular fractures using panoramic radiography

Shahnavazi

Mohamadrahimi

2023

Dental Research Journal

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“…5,6 They are considered the standard of care in assessing caries with the greatest accuracy and so should be utilised as such. 1,2,6,7,8 However, they can increase gag reflex, presenting further challenges in uncooperative paediatric patients, leading to improper positioning or re-takes causing re-exposure. 4,8,9 EBWs and cone beam computed tomography (CBCT) have been found to be comparable to intra-oral bitewings for assessing proximal caries 4,10 and reduce risks in terms of gaging and also aerosol production during COVID-19.…”

Section: Introductionmentioning

confidence: 99%

The Use of Extra-oral Bitewing Radiographs for Treatment Planning in Paediatric Patients

Jones,

O'Grady,

Drage

et al. 2023

Dent Update

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The extra-oral bitewing is becoming increasingly popular among clinicians to help overcome some of the challenges posed when taking intra-oral radiographs for paediatric patients. When combined with clinical examination, this radiographic view provides important diagnostic information in the management of caries in the posterior dentition. In this article, the use of extra-oral bitewings will be explored. The introduction of a decision tree provides the dental practitioner working in either a primary or secondary care setting, a pathway to assist with deciding the optimal radiographic prescription. CPD/Clinical Relevance: Extra-oral bitewings can be a useful radiographic tool for dental caries diagnosis in the mixed dentition.

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Longitudinal Analysis of Diagnostic Accuracy of Panoramic Radiography in Oral Pathology

Nayak,

Sahoo,

Chaturvedi

et al. 2024

Journal of Pharmacy and Bioallied Sciences

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Objective: The purpose of this 5-year longitudinal study was to assess the diagnostic accuracy of panoramic radiography (PR) in identifying oral pathology at a tertiary care facility. Methods: A retrospective review of patient files was done, encompassing those of patients who had PR for suspected oral lesions, followed by a biopsy. At various times, several diagnostic accuracy metrics were computed, such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic odds ratio (DOR). Results: The research had 250 patients in total. In terms of identifying oral pathology, PR showed a sensitivity of 85% and a specificity of 90%. There were 80% and 92% PPV and NPV, respectively. With a computed DOR of 25, PR’s total discriminating power was found to be high. Conclusion: In summary, PR consistently demonstrates great diagnostic accuracy in identifying oral pathology at a tertiary care facility. These results confirm that PR is a useful screening technique for oral lesions in standard clinical practice. In order to overcome PR’s shortcomings and investigate methods for enhancing its diagnostic effectiveness, more investigation is necessary.

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Do panoramic radiographs offer improved diagnostic accuracy over clinical examination and other radiographic techniques in children?

Cited by 3 publications

References 1 publication

The application of artificial neural networks in the detection of mandibular fractures using panoramic radiography

The application of artificial neural networks in the detection of mandibular fractures using panoramic radiography

The Use of Extra-oral Bitewing Radiographs for Treatment Planning in Paediatric Patients

Longitudinal Analysis of Diagnostic Accuracy of Panoramic Radiography in Oral Pathology

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