Hemostatic agents are used to control bleeding after tooth extraction and have been compared with conventional measures (that is, sutures or gauze pressure) in several studies. The objective of this s...
The authors conducted a literature search in MEDLINE (PubMed), Scopus, and the Cochrane Central Register of Controlled Trials, including prospective human randomized clinical trials in which researche...
Seventeen articles were eligible for inclusion. Hemostatic agents resulted in a significantly shorter time to achieve hemostasis in both healthy patients and patients taking antithrombotic drugs (stan...
The use of hemostatic agents seemed to offer better bleeding control after tooth extractions in patients on antithrombotic drugs than conventional measures....
Findings of this systematic review may help clinicians attain more efficient hemostasis in patients requiring tooth extraction. This systematic review is registered in the PROSPERO database. The regis...
Oroantral communication (OAC) is a relatively common and mild complication of maxillary tooth extractions. Preoperative prediction of OAC can reduce treatment duration and prepare both operators and p...
In this retrospective case-control study the OAC group consisting of 97 cases and a control group twice the size was established. Clinical data were collected, and measurements were conducted separate...
Inter-rater reliability was found to be excellent. Several factors were identified as potential predictors of OAC. According to our model, the strongest predictors were the distance between the cement...
Well-defined measurements on panoramic radiographs may aid in predicting OAC. Further prospective investigations are necessary to confirm these indicators and address factors related to clinical exami...
We present several clinical and radiographic warning signs of OAC that can facilitate pre-extraction decision-making....
We aimed to determine the feasibility of utilizing deep learning-based predictions of the indications for cracked tooth extraction using panoramic radiography....
Panoramic radiographs of 418 teeth (group 1: 209 normal teeth; group 2: 209 cracked teeth) were evaluated for the training and testing of a deep learning model. We evaluated the performance of the cra...
To evaluate the feasibility, the sensitivity, specificity, accuracy, and F1 score of the deep learning models were calculated, with values of 90.43-94.26%, 52.63-60.77%, 72.01-75.84%, and 76.36-79.00%...
We found that the indications for cracked tooth extraction can be predicted to a certain extent through a deep learning model using panoramic radiography....
To identify clinical and local radiographic predictors for medication-related osteonecrosis of the jaws (MRONJ) by the assessment of pre-operative CBCT images of oncologic patients treated with anti-r...
This retrospective, longitudinal, case-control study included clinical and imaging data of 97 patients, divided into study and control group. Patients in the study group (...
From the study group, 15 patients (32%) and 33 sites (38%) developed MRONJ after tooth extraction. When controls were compared to study sites, the latter showed significantly more thickening of the la...
Periosteal reaction and sequestrum formation are suspected to be pre-clinical MRONJ lesions. Furthermore, ARD induced bony changes and radiographic variations between ARD types were seen....
Poor oral health and/or dental disease are highly prevalent among stroke survivors. Muscle weakness and loss of dexterity can decrease the patient's ability to provide effective oral hygiene post-stro...
The study investigated orthodontic tooth movement by comparing various horizontal and angular measures of the teeth having different sinus-root relationship (SRR) of patients undergoing first premolar...
This retrospective cross-sectional study included 45 Taiwanese adult patients, classified as the control group (n = 15) and the sinus group (n = 30) according to SRR. The control group had type I SRR ...
Post debonding, there were no statistically significant difference in the two groups. However, the incisors in the control group became marginally more upright than those of the sinus group, and the m...
The study revealed that the sinus-root relationship does not affect the orthodontic tooth movement. However, a more extensive 3-D study with larger sample size is strongly recommended before coming to...
The lining of the floor of the maxillary sinus does not affect the orthodontic tooth movement....
Clinical observation conducted during the 3rd and 4th years of dental school is an important part of dental students' clinical education. However, conventional clinical observation is associated with ...
We recruited third- and fourth-year dental students and divided them into a VR clinical observation group (VR group) and a conventional clinical observation group (control group). The control group vi...
Understanding of the procedure and satisfaction with the observation were significantly higher in the VR group than in the control group (p = 0.001 and p = 0.047, respectively). Compared with conventi...
VR clinical observation using 360° videos might be an effective teaching method for students. However, to allow interaction between professors and students during clinical observations, using it along...
Tooth extraction is one of the most frequently performed medical procedures. The indication is based on the combination of clinical and radiological examination and individual patient parameters and s...
Using 26,956 single teeth images from 1,184 panoramic radiographs (PANs), we trained a ResNet50 network to classify teeth as either extraction-worthy or preservable. For this purpose, teeth were cropp...
The ROC-AUC for the best AI model to discriminate teeth worthy of preservation was 0.901 with 2% margin on dental images. In contrast, the average ROC-AUC for dentists was only 0.797. With a 19.1% too...
AI models outperform dentists/specialists in predicting tooth extraction based solely on X-ray images, while the AI performance improves with increasing contextual information....
AI could help monitor at-risk teeth and reduce errors in indications for extractions....
This study aimed to analyze the accuracy of artificial intelligence (AI) for orthodontic tooth extraction decision-making....
PubMed/MEDLINE, EMBASE, LILACS, Web of Science, Scopus, LIVIVO, Computers & Applied Science, ACM Digital Library, Compendex, and gray literature (OpenGrey, ProQuest, and Google Scholar) were electroni...
The search identified 1810 studies. After 2 phases of selection, six studies were included, showing an unclear risk of bias of patient selection. Two studies showed a high risk of bias in the index te...
Orthodontic tooth extraction decision-making using AI presented promising accuracy but should be considered with caution due to the very low certainty of evidence....
AI models for tooth extraction decision in orthodontics cannot yet be considered a substitute for a final human decision....
It is commonly recommended that tooth extraction should be performed prior to radiotherapy (RT) in patients with head neck cancer to prevent osteoradionecrosis (ORN). However, doctors still occasional...
Data were collected from Taiwan's National Health Insurance Research Database. We retrospectively enrolled 24,412 patients with head and neck cancer treated with radiotherapy between 2011 and 2017. Th...
A total of 24,412 head and neck cancer patients were enrolled; 133 patients underwent tooth extraction during RT and 24,279 patients did not undergo tooth extraction during RT. Tooth extraction during...
The risk of ORN in head and neck cancer is not significantly different between patients who undergo tooth extraction during RT and patients who do not undergo tooth extraction during RT....
