A Prospective Study of Long-Term Regenerative Endodontics Outcomes of Necrotic Immature Permanent Teeth: An 8-Year Follow-Up.
Sawsan T Abu ZeidRuaa A AlamoudiOsama S AlothmaniAbeer A Mokeem SalehAmna Yusuf SiddiquiPublished in: Healthcare (Basel, Switzerland) (2021)
For the management of necrotic immature teeth, regenerative endodontics offers the advantage of further root lengthening, thickening of dentin wall, and apical closure. This prospective study aimed to evaluate the long-term outcome of regenerative endodontics in immature necrotic permanent teeth. A total of 23 immature roots were medicated by triple antibiotic paste. After 21 days, bleeding was induced by over-instrumentation, and then mineral trioxide aggregate and coronal restoration were applied. Patients were scheduled for clinical and radiographic follow-up for 8 years. The radiographic changes of root dimensions were assessed using the ImageJ Plugin and statistically analyzed by Kruskal-Wallis test at a 95% confidence level. For qualitative evaluation, images were overlapped and analyzed using Photoshop software. All teeth were asymptomatic one month after the treatment. All teeth ( n = 18) with preoperative periapical radiolucency showed complete resolution within 6-9 months. Recall rate at two, three, and eight years was 69.6%, 56.5%, and 34.8%, respectively. Continuous root development with a significant increase in root length and thickening of dentin wall accompanied by a significant decrease in apical canal diameter was seen at the end of the observation period ( p < 0.001). In conclusion, the long-term outcome of regenerative endodontics revealed successful clinical and radiographic results with appropriate case selection.
Keyphrases
- stem cells
- mesenchymal stem cells
- cell therapy
- cone beam computed tomography
- tissue engineering
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- atrial fibrillation
- deep learning
- type diabetes
- optical coherence tomography
- single molecule
- machine learning
- skeletal muscle
- single cell
- mass spectrometry
- weight loss
- insulin resistance
- replacement therapy
- smoking cessation
- simultaneous determination