An Unusual Case of a Large Periapical Cyst Mimicking a Nasopalatine Duct Cyst

Automatic detection and classification of nasopalatine duct cyst and periapical cyst on panoramic radiographs using deep convolutional neural networks

OBJECTIVE

The aim of this study is to evaluate a deep convolutional neural network (DCNN) method for the detection and classification of nasopalatine duct cysts (NPDC) and periapical cysts (PAC) on panoramic radiographs.

STUDY DESIGN

A total of 1,209 panoramic radiographs with 606 NPDC and 603 PAC were labeled with a bounding box and divided into training, validation, and test sets with an 8:1:1 ratio. The networks used were EfficientDet-D3, Faster R-CNN, YOLO v5, RetinaNet, and SSD. Mean average precision (mAP) was used to assess performance. Sixty images with no lesion in the anterior maxilla were added to the previous test set and were tested on 2 dentists with no training in radiology (GP) and on EfficientDet-D3. The performances were comparatively examined.

RESULTS

The mAP for each DCNN was EfficientDet-D3 93.8%, Faster R-CNN 90.8%, YOLO v5 89.5%, RetinaNet 79.4%, and SSD 60.9%. The classification performance of EfficientDet-D3 was higher than that of the GPs' with accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 94.4%, 94.4%, 97.2%, 94.6%, and 97.2%, respectively.

CONCLUSIONS

The proposed method achieved high performance for the detection and classification of NPDC and PAC compared with the GPs and presented promising prospects for clinical application.

The Impact of the Preferred Reporting Items for Case Reports in Endodontics (PRICE) 2020 Guidelines on the Reporting of Endodontic Case Reports

Aim The aim of this study is to evaluate the impact of the Preferred Reporting Items for Case reports in Endodontics (PRICE) 2020 guideline on the reporting of published endodontic case reports (CRs). Methodology All case reports published in the International Endodontic Journal, European Endodontic Journal, Journal of Endodontics and Restorative Dentistry and Endodontics, in the year before and after the release of PRICE 2020, were included for analysis. Two panels comprising dentists scored case reports against a scoring system adapted from the guideline. Individual items were scored up to a maximum of 1; scores were then summated to provide an overall maximum of 47 for each CR. Each report provided an overall percentage adherence, and panel agreement was calculated using the intraclass correlation coefficient (ICC). Disagreement on scoring was discussed until a consensus was reached. Scores before and after PRICE guideline publication were compared using an unpaired two-tailed t test. Results A total 19 CRs were identified in both the pre- and post-PRICE guideline publication. Mean adherence to PRICE 2020 increased by 7.9% (p=0.003) from 70.0%±8.89 to 77.9%±6.23 following its publication. Agreement between panels was moderate (ICC pre-PRICE: 0.673 {p=0.011}; ICC post-PRICE: 0.742 {p=0.003}). Items 1a, 6c, 6e, 6f, 6g, 6j, 6q, 6s, 7a, 9a, 11a, 12c and 12d experienced a fall in compliance. Conclusion The PRICE 2020 guideline has resulted in a modest improvement in the reporting of endodontic case reports. Greater awareness and a wider acceptance and implementation of the guideline in endodontic journals are needed to improve adherence to the novel guideline.