Intentional tooth replantation (ITR) is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions. ITR is defined as the deliberate extraction of a tooth; evaluation of the root surface, endodontic manipulation, and repair; and placement of the tooth back into its original socket. Case reports, case series, cohort studies, and randomized controlled trials have demonstrated the efficacy of ITR in the retention of natural teeth that are untreatable or difficult to manage with root canal treatment or endodontic microsurgery. However, variations in clinical protocols for ITR exist due to the empirical nature of the original protocols and rapid advancements in the field of oral biology and dental materials. This heterogeneity in protocols may cause confusion among dental practitioners; therefore, guidelines and considerations for ITR should be explicated. This expert consensus discusses the biological foundation of ITR, the available clinical protocols and current status of ITR in treating teeth with refractory apical periodontitis or anatomical aberration, and the main complications of this treatment, aiming to refine the clinical management of ITR in accordance with the progress of basic research and clinical studies; the findings suggest that ITR may become a more consistent evidence-based option in dental treatment.
Humans ; Tooth Replantation/methods* ; Consensus ; Periapical Periodontitis/surgery*

OBJECTIVE T o establish the automatic diagnosis system for varicella pneumonia based on multi-slice spiral computed tomography(MSCT)and verify its application value.METHODS The clinical data were collected from 295 patients with varicella who were treated in the hospital from Jan.2016 to Mar.2023 and assigned as the training set,the pulmonary imaging findings were acquired from the MSCT chest scanning.The automatic diagno-sis system for varicella pneumonia was established based on MSCT with the use of convolutional neural network technology.Totally 279 patients with varicella who were treated during the same period were chosen as the valida-tion set,the result of comprehensive diagnosis was set as gold standard,and the efficiency of the above system in diagnosis of varicella pneumonia was observed.RESULTS Totally 279 patients with varicella were included in the validation group,243 of whom had varicella pneumonia,and 36 had simple varicella infection.The sensitivity of the automatic diagnosis system established based on MSCT was 97.53％in diagnosis of the varicella pneumonia of the validation group,with the specificity 91.67％,the accuracy 96.77％,respectively higher than 93.83％,83.33％and 92.47％of MSCT,and it was highly consistent with the gold standard(Kappa=0.919,P＜0.001);there was consistency between MSCT and the gold standards(Kappa=0.675,P＜0.001).CONCLUSION The au-tomatic diagnosis system for varicella pneumonia established based MSCT can raise the sensitivity,specificity and accuracy in diagnosis of varicella pneumonia and have the advantages of automation and convenience,and serve as a new tool for clinical diagnosis of varicella pneumonia.

OBJECTIVE T o establish the automatic diagnosis system for varicella pneumonia based on multi-slice spiral computed tomography(MSCT)and verify its application value.METHODS The clinical data were collected from 295 patients with varicella who were treated in the hospital from Jan.2016 to Mar.2023 and assigned as the training set,the pulmonary imaging findings were acquired from the MSCT chest scanning.The automatic diagno-sis system for varicella pneumonia was established based on MSCT with the use of convolutional neural network technology.Totally 279 patients with varicella who were treated during the same period were chosen as the valida-tion set,the result of comprehensive diagnosis was set as gold standard,and the efficiency of the above system in diagnosis of varicella pneumonia was observed.RESULTS Totally 279 patients with varicella were included in the validation group,243 of whom had varicella pneumonia,and 36 had simple varicella infection.The sensitivity of the automatic diagnosis system established based on MSCT was 97.53％in diagnosis of the varicella pneumonia of the validation group,with the specificity 91.67％,the accuracy 96.77％,respectively higher than 93.83％,83.33％and 92.47％of MSCT,and it was highly consistent with the gold standard(Kappa=0.919,P＜0.001);there was consistency between MSCT and the gold standards(Kappa=0.675,P＜0.001).CONCLUSION The au-tomatic diagnosis system for varicella pneumonia established based MSCT can raise the sensitivity,specificity and accuracy in diagnosis of varicella pneumonia and have the advantages of automation and convenience,and serve as a new tool for clinical diagnosis of varicella pneumonia.