Association between the irrigation-agitation techniques and Periapical Healing of large periapical lesions: a Randomized Controlled Trial.

OBJECTIVES: The aim of this study was to evaluate the effects of manual dynamic activation (MDA), passive ultrasonic irrigation (PUI), and laser-activated irrigation (shock wave-enhanced emission photoacoustic streaming (SWEEPS)) on the periapical healing of large periapical lesions following nonsurgical root canal treatment. MATERIALS AND METHODS: A total of fifty-six systemically healthy patients with a mandibular single-rooted tooth with periapical lesions of endodontic origin and a periapical index score of 3 or higher were included in the study. Before the treatment procedures, lesion volumes were determined volumetrically using cone-beam computed tomography (CBCT). Patients were randomized into treatment (MDA, PUI, SWEEPS) and control groups (n = 14). Root canal treatment and irrigation procedures were performed by a calibrated postgraduate operator and completed at one visit. For routine follow-up, clinical and radiographic evaluations were performed by a blinded evaluator using periapical (PA) radiographs according to Molven's criteria at 3, 6, and 9 months. At 12 months, lesion volumes were quantified volumetrically using CBCT (ITK-SNAP). The data were statistically analyzed with the Wilcoxon test. The significance level was set at p < 0.05. RESULTS: In all groups, the mean lesion volume after treatment was significantly smaller than the mean volume before treatment (p = 0.001). Among the 56 teeth, 11 teeth were 'totally healed', and 39 teeth were 'reduced' on PA radiographs. No 'enlargement' was detected in any group. On CBCT, the lesion volume decreased in the following order: LAI-SWEEPS (86.9%) > PUI (85.4%) > MDA (80.4%) > control (74.5%), with no statistically significant difference (p > 0.05). CONCLUSIONS: Despite the limitations of the present study, although a greater percentage of healing was observed in the LAI-SWEEPS and PUI groups, irrigation procedures had no statistically significant effect on the healing of periapical lesions with a single root canal at the 12-month follow-up. On the other hand, the outcome may change in multirooted teeth with curved and complex root canal systems. CLINICAL RELEVANCE: In the short term and in single-canal teeth, advanced irrigation agitation methods such as laser and ultrasonic did not make a difference in healing other than manual irrigation agitation.

Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis.

OBJECTIVES: Dentists' diagnostic accuracy in detecting periapical radiolucency varies considerably. This systematic review and meta-analysis aimed to investigate the accuracy of artificial intelligence (AI) for detecting periapical radiolucency. DATA: Studies reporting diagnostic accuracy and utilizing AI for periapical radiolucency detection, published until November 2023, were eligible for inclusion. Meta-analysis was conducted using the online MetaDTA Tool to calculate pooled sensitivity and specificity. Risk of bias was evaluated using QUADAS-2. SOURCES: A comprehensive search was conducted in PubMed/MEDLINE, ScienceDirect, and Institute of Electrical and Electronics Engineers (IEEE) Xplore databases. Studies reporting diagnostic accuracy and utilizing AI tools for periapical radiolucency detection, published until November 2023, were eligible for inclusion. STUDY SELECTION: We identified 210 articles, of which 24 met the criteria for inclusion in the review. All but one study used one type of convolutional neural network. The body of evidence comes with an overall unclear to high risk of bias and several applicability concerns. Four of the twenty-four studies were included in a meta-analysis. AI showed a pooled sensitivity and specificity of 0.94 (95 % CI = 0.90-0.96) and 0.96 (95 % CI = 0.91-0.98), respectively. CONCLUSIONS: AI demonstrated high specificity and sensitivity for detecting periapical radiolucencies. However, the current landscape suggests a need for diverse study designs beyond traditional diagnostic accuracy studies. Prospective real-life randomized controlled trials using heterogeneous data are needed to demonstrate the true value of AI. CLINICAL SIGNIFICANCE: Artificial intelligence tools seem to have the potential to support detecting periapical radiolucencies on imagery. Notably, nearly all studies did not test fully fledged software systems but measured the mere accuracy of AI models in diagnostic accuracy studies. The true value of currently available AI-based software for lesion detection on both 2D and 3D radiographs remains uncertain.

Relationship between periapical lesions and sinus changes on multi-slice computed tomography sean.

Differentiating orofacial odontogenic pain/disorders from pain/disorders associated with maxillary sinusitis is important to avoid unnecessary dentalprocedures and to properly refer patients to colleagues/dentists and vice versa. AIM: To analyze the association between apical lesions and sinus changes and to evaluate the agreement between the diagnoses of an endodontist, a radiologist, an oral and maxillofacial surgeon, and an otolaryngologist. MATERIALS AND METHOD: 385 axial, coronal, and sagittal MSCT scans were selected using an image archiving andcommunication system (PACS). The examinations had been performed between 2018 and 2022. RESULTS: Apical lesions were observed in 36.10% of sinusitis cases, 73.8% of unilateralsinusitis cases, 48.7% of sinus floor discontinuity cases, and 67.2% of cases in which endodontic treatment had been performed. Agreement between the diagnoses made by the endodontist and those made by the other investigators was high for most study variables (k > 0.60). The exceptions were mucosal thickening, for which agreement between the endodontist and the other investigators was intermediate (k=0.397), and the presence of periapicallesions (k=0.010), previous endodontic treatment (k=0.013), and mucosal thickness (k=0.024), for which agreement between endodontists and radiologists was low. Conclusions: There was an association between sinus changes and apical lesions.

Diferenciar a dor/desordens odontogénicas orofaciais da dor/desordens as sociadas á sinusite maxilar é importante para evitar procedimentos odontológicos desnecessários e para encaminhar adequadamente os pacientes aos colegas/dentistas e vice-versa. OBJETIVO: Analisar a associagdo entre lesoes apicais e alteragóes sinusais e avaliar a concordáncia entre os diagnósticos de um endodontista, um radiologista, um cirurgido bucomaxilofacial e um otorrinolaringologista. MATERIAL E MÉTODO: foram avaliadas 385 imagens. RESULTADOS: Aslesoes apicais foram observadas em 36,10% dos casos de sinusite, em 73,8% dos casos de sinusite unilateral, em 48,7% dos casos de descontinuidade do assoalho do seio e em 67,2%odos casos em que o tratamento endodontico havia sido realizado. A concordancia entre os diagnósticos feitos pelo endodontista e os feitos pelos outros pesquisadores foi alta para a maioria das variáveis do estudo (k > 0,60). As excegoes foram o espessamento da mucosa, para o qual a concordáncia entre o endodontista e os outros pesquisadores foi intermediária (k=0,397) e a presenga delesoes periapicais (k=0,010), tratamento endodontico prévio (k=0,013) e espessura da mucosa (k=0,024), para os quais a concordáncia entre endodontistas e radiologistas foi baixa. CONCLUSÕES: Houve uma associagdo entre as alteragóes sinusais e aslesoes apicais.

Artificial intelligence vs. semi-automated segmentation for assessment of dental periapical lesion volume index score: A cone-beam CT study.

INTRODUCTION: Cone beam computed tomography periapical volume index (CBCTPAVI) is a categorisation tool to assess periapical lesion size in three-dimensions and predict treatment outcomes. This index was determined using a time-consuming semi-automatic segmentation technique. This study compared artificial intelligence (AI) with semi-automated segmentation to determine AI's ability to accurately determine CBCTPAVI score. METHODS: CBCTPAVI scores for 500 tooth roots were determined using both the semi-automatic segmentation technique in three-dimensional imaging analysis software (Mimics Research™) and AI (Diagnocat™). A confusion matrix was created to compare the CBCTPAVI score by the AI with the semi-automatic segmentation technique. Evaluation metrics, precision, recall, F1-score (2×precision×recallprecision+recall), and overall accuracy were determined. RESULTS: In 84.4 % (n = 422) of cases the AI classified CBCTPAVI score the same as the semi-automated technique. AI was unable to classify any lesion as index 1 or 2, due to its limitation in small volume measurement. When lesions classified as index 1 and 2 by the semi-automatic segmentation technique were excluded, the AI demonstrated levels of precision, recall and F1-score, all above 0.85, for indices 0, 3-6; and accuracy over 90 %. CONCLUSIONS: Diagnocat™ with its ability to determine CBCTPAVI score in approximately 2 min following upload of the CBCT could be an excellent and efficient tool to facilitate better monitoring and assessment of periapical lesions in everyday clinical practice and/or radiographic reporting. However, to assess three-dimensional healing of smaller lesions (with scores 1 and 2), further advancements in AI technologies are needed.

Multi-model deep learning approach for segmentation of teeth and periapical lesions on pantomographs.

INTRODUCTION: The fields of medicine and dentistry are beginning to integrate artificial intelligence (AI) in diagnostics. This may reduce subjectivity and improve the accuracy of diagnoses and treatment planning. Current evidence on pathosis detection on pantomographs (PGs) indicates the presence or absence of disease in the entire radiographic image, with little evidence of the relation of periapical pathosis to the causative tooth. OBJECTIVE: To develop a deep learning (DL) AI model for the segmentation of periapical pathosis and its relation to teeth on PGs. METHOD: 250 PGs were manually annotated by subject experts to lay down the ground truth for training AI algorithms on the segmentation of periapical pathosis. Two approaches were used for lesion detection: Multi-models 1 and 2, using U-net and Mask RCNN algorithms, respectively. The resulting segmented lesions generated on the testing data set were superimposed with results of teeth segmentation and numbering algorithms trained separately to relate lesions to causative teeth. Hence, both multi-model approaches related periapical pathosis to the causative teeth on PGs. RESULTS: The performance metrics of lesion segmentation carried out by U-net are as follows: Accuracy = 98.1%, precision = 84.5%, re-call = 80.3%, F-1 score = 82.2%, dice index = 75.2%, and Intersection over Union = 67.6%. Mask RCNN carried out lesion segmentation with an accuracy of 46.7%, precision of 80.6%, recall of 55%, and F-1 score of 63.1%. CONCLUSION: In this study, the multi-model approach successfully related periapical pathosis to the causative tooth on PGs. However, U-net outperformed Mask RCNN in the tasks performed, suggesting that U-net will remain the standard for medical image segmentation tasks. Further training of the models on other findings and an increased number of images will lead to the automation of the detection of common radiographic findings in the dental diagnostic workflow.

Conservative management of double teeth in molar teeth with pulp or periapical disease: a report of five cases and literature review.

BACKGROUND: Double teeth are usually the result of an abnormality in the developing tooth germ. Double teeth can occur in either the primary or permanent dentition, with the majority of cases concerning permanent teeth reported in the anterior teeth and less frequently in the molar teeth. CASE PRESENTATION: This report illustrates five cases of double teeth in molars with pulp and periapical disease, including one case of geminated teeth and four cases of fused teeth. Radiographic findings revealed the presence of extra teeth on the buccal aspect of the molar in five cases, with or without communication between the two root canal systems. Root canal treatment was performed by using CBCT and a dental operating microscope. The treatment outcome was good in all five cases. CONCLUSION: The diagnosis and treatment of double teeth requires special attention. The root canal system should be carefully explored to obtain a full understanding of the anatomy, allowing it to be fully cleaned and obturated. Proper anatomical structure analysis prior to treatment facilitates the development of an appropriate treatment plan, thereby increasing the likelihood of successful treatment both aesthetically and functionally.

Magnetic resonance imaging in the diagnosis of periodontal and periapical disease.

OBJECTIVES: Early pre-clinical inflammatory changes in periodontal and/or periapical lesions, which typically precede bone loss, are challenging to diagnose using ionizing-radiation-based imaging modalities. MRI provides relevant additional diagnostic information of inflammatory processes in soft and hard tissues. The aim of the present study is to undertake a systematic review of the literature on MRI in the diagnosis of periodontal and/or periapical disease. METHODS AND MATERIALS: The PubMed/MEDLINE and Scopus bibliographic databases were searched (2000-2021) using the search string: ("MRI" or "magnetic resonance imaging") and ("periodontitis" or "periodontal" or "apical pathology" or "endodontic pathology" or "periapical" or "furcation" or "intrabony"). The search was limited to studies published in English. The studies were assessed independently by three reviewers, focusing on the MRI sequences, imaging modalities (radiographs, cone beam CT (CBCT), and MRI), disease definition, assessed parameters, and outcome measurements. RESULTS: The search strategy yielded 34 studies, from which 13 were included. Overall, the findings of MRI were in agreement with CBCT. The studies showed that MRI provided diagnostic information of the hard and soft tissue components affected by periodontal and/or periapical disease with a fairly high sensitivity and specificity. However, the assessed parameters (e.g. MRI acquisition protocols, and disease definition) differed substantially. CONCLUSIONS: The included studies indicate that the use of MRI in the diagnosis of periodontal and/or periapical disease is feasible and promising. More studies are needed to define the accuracy of this non-ionizing-radiation-based diagnostic modality, in the assessment of periodontal and/or periapical lesions.

Diagnóstico clínico, radiográfico e histológico de un caso de fibrosis periapical posendodóntica / Clinical, radiographic, and histologic diagnosis of a postendodontic periapical fibrosis case

Objetivo: La fibrosis periapical posendodóntica es un proceso reparativo asintomático, radiolúcido y no progresivo que se interpreta con frecuencia como una lesión patológica persistente. El diagnóstico de esta entidad suele ser dudoso y sólo puede definirse mediante la correlación de las obser- vaciones clínicas, radiográficas e histológicas. El objetivo de este informe es describir el caso de un paciente que presenta un área radiolúcida periapical persistente y asintomática en un incisivo lateral superior. Caso clínico: Luego de cuatro años y dos meses de ha- ber recibido un tratamiento endodóntico el paciente concurre a la consulta para un examen de rutina. El examen radiográfico del diente revela un área radiolúcida persistente y bien defini- da. A causa de una fractura radicular irreparable, se indicó la extracción de la pieza dentaria. Esto permitió realizar el estu- dio histológico del tejido blando que permanecía adherido en el ápice de la raíz, lo que confirmó y completó el diagnóstico de fibrosis periapical posendodóntica.(AU)

Aim: The postendodontic periapical fibrosis is an asymp- tomatic radiolucent and non-progressive healing process that is often interpreted as a persistent pathological lesion. The diagnosis of this entity is usually uncertain, and it is only de- fined by the correlation of clinical, radiographic and histo- logical observations.The aim of this report is to describe the case of a patient with a long-term persisting asymptomatic and radiolucent area in a upper lateral incisor. Clinical case: Four years and two months after receiv- ing an endodontic treatment the patient comes to our office for a routine control. Radiographic examination revealed the presence of a persistent well defined radiolucent area. Sur- gical tooth extraction was required due to the presence of a complicated root fracture.This allowed to perform a histolog- ical study of the soft tissue attached to the apex of the ex- tracted root, which confirmed and completed the diagnosis of postendodontic periapical fibrosis (AU)

Sphericity of Periapical Lesion and Its Relation to the Novel CBCT Periapical Volume Index.

BACKGROUND: The purpose of this study was to assess the sphericity of periapical lesions and its relation to the cone-beam computed tomography periapical volume index (CBCTPAVI). METHODS: A total of 261 periapical lesions were assessed using cone-beam computed tomography images from InteleViewer. Three-dimensional analysis of the lesions was conducted using analytical imaging software Mimics Research. Lesion volume and surface area measurements were determined using the semiautomatic segmentation technique, and these measurements were then used to determine lesion sphericity and CBCTPAVI score. One-way analysis of variance with post hoc Tukey test was used to assess for differences in sphericity among CBCTPAVI groups. RESULTS: The mean sphericity of periapical lesions was 62%. Periapical lesions with larger CBCTPAVI scores were significantly less spherical than lesions with smaller CBCTPAVI scores. CONCLUSIONS: Periapical lesions of endodontic origin are mostly semi-spherical in their spread, and as CBCTPAVI score increases, sphericity decreases, indicating that larger lesions expand less uniformly compared with smaller lesions. Clinicians should be aware that lesions of increased volume have less sphericity, and are thus elongated or stretched in 1 or more anatomic plane. This information will assist clinicians in planning and performing periapical surgery and may aid in differential diagnosis of radiolucent jaw lesions.

Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks.

INTRODUCTION: Cone-beam computed tomography (CBCT) is an essential diagnostic tool in oral radiology. Radiolucent periapical lesions (PALs) represent the most frequent jaw lesions. However, the description, interpretation, and documentation of radiological findings, especially incidental findings, are time-consuming and resource-intensive, requiring a high degree of expertise. To improve quality, dentists may use artificial intelligence in the form of deep learning tools. This study was conducted to develop and validate a deep convolutional neuronal network for the automated detection of osteolytic PALs in CBCT data sets. METHODS: CBCT data sets from routine clinical operations (maxilla, mandible, or both) performed from January to October 2020 were retrospectively screened and selected. A 2-step approach was used for automatic PAL detection. First, tooth localization and identification were performed using the SpatialConfiguration-Net based on heatmap regression. Second, binary segmentation of lesions was performed using a modified U-Net architecture. A total of 144 CBCT images were used to train and test the networks. The method was evaluated using the 4-fold cross-validation technique. RESULTS: The success detection rate of the tooth localization network ranged between 72.6% and 97.3%, whereas the sensitivity and specificity values of lesion detection were 97.1% and 88.0%, respectively. CONCLUSIONS: Although PALs showed variations in appearance, size, and shape in the CBCT data set and a high imbalance existed between teeth with and without PALs, the proposed fully automated method provided excellent results compared with related literature.

[Overview of technical advances in the diagnosis of pulp and periapical diseases].

Pulp and periapical diseases are common and frequently occurring diseases of which diagnosis and treatment must be dealt with by the dental clinicians. The diagnostic techniques of these diseases include evaluation of pulp vitality, measurement of pulp blood circulation and analysis and judgment of root canal anatomy. With the continuous emergence of digital and imaging technologies, the correct application of these technologies in clinic will help clinicians improve their abilities in diagnosis and treatment of related diseases. The present article summarizes and reviews the progress of assistant technology for diagnosing dental pulp and periapical diseases in recent years and puts forward some suggestions for its application.

[Application and prospect of static/dynamic guided endodontics for managing pulpal and periapical diseases].

Root canal therapy and endodontic surgery are conventional treatments for pulpal and periapical diseases. Compared with naked-eye operations, the application of dental operating microscope has enhanced the procedural accuracy and prognosis efficiently. However, root canals with pulp calcification/obliteration, apical lesions with thick cortical bone or adjacent to important anatomic structures are even challenging for experienced operators to achieve predictable clinical outcomes. Recently, with the advances in the field of digitalized information sciences, the above mentioned complicated endodontic cases can be solved under static and dynamic guidance. Before the treatment begins, virtual path is designed from data collected by cone-beam CT and oral image scanning using guidance software. Afterwards, root canal therapy and endodontic surgery can be performed precisely under the assistance of three-dimensional printed guide or dynamic guidance system. The present review describes the classification, features and clinical applications of the guided endodontics.

Pulpal and periapical disease in crowned vital teeth: A prospective matched cohort study.

This study aimed to determine the incidence and contributing factors to pulpal and periapical disease in crowned vital teeth. Seventy-three pairs of healthy teeth were included and divided into two groups; 'crowned' and 'untreated' groups. The crowned group was prepared for full coverage crown and no treatment was carried out on the untreated group. Both groups were subjected to clinical and radiographic examination to detect endodontic signs and symptoms pre-operatively and one-week after crown cementation. Electric pulp test was also subjected to both groups, pre-operatively, after tooth preparation and before crown cementation. The incidence of pulpal and periapical disease was 6.8% and 1.4%, respectively, after tooth preparation. Factors associated with pulpal and periapical disease were exposed pulp during tooth preparation and pre-operative bone level <35%. Despite the low incidence, the occurrence of pulpal and periapical disease within a short period is noteworthy.

Noninvasive Endodontic Periapical Biopsy of a Periapical Fibrous Scar: Case Report.

Postendodontic periapical fibrous scars (PFScs) comprise a type of radiolucent healing that is frequently misinterpreted as a pathological lesion. A combined clinical, radiologic, and histologic correlation is essential for a reliable diagnosis. This report presents a case of a patient with a long-term persistent asymptomatic postendodontic radiolucency that was misdiagnosed as endodontic failure and referred for endodontic retreatment and periapical surgery. To reach a definitive diagnosis, a core bone biopsy needle (CBBn) technique was performed on the area of the radiolucency. The material obtained was processed for histologic analysis and the lesion was determined to be a PFSc. In conclusion, the use of a CBBn before any invasive treatment allowed the clinician to distinguish between PFSc and other persisting pathosis, such as periapical granuloma or cystic lesions.

Hallazgo incidental en tomografía computada de haz cónico / Incidenal finding in cone beam computed tomography

El creciente número de técnicas radiográficas realizadas por paciente para diagnóstico y planificación provoca un aumento en el número de hallazgos incidentales. La descripción de un hallazgo incidental puede desencadenar atención médica adicional, que incluye otros procedimientos y tratamientos de diagnóstico, con lo cual, en muchas ocasiones es necesario derivar al paciente para tratar la patología descubierta en forma incidental. La CBCT puede ayudar a detectar la presencia de lesión periapical no diagnosticada previamente, donde la evaluación clínica previa y las radiografías convencionales no han revelado la patología. La patología asintomática u oculta puede conducir a un diagnóstico tardío, lo que puede afectar negativamente las posibles estrategias de tratamiento y los resultados. La detección temprana y la precisión diagnóstica son esenciales. La CBCT es una técnica que proporciona vistas de zonas anatómicas con las cuales la mayoría de los odontólogos no están familiarizados y que pueden revelar patología oculta, permitiendo diagnósticos más precisos y confiables, y reduciendo así la posibilidad de perder la patología clínicamente relevante. Este articulo trata de sintetizar las ventajas del uso de la tomografía para diagnosticar el hallazgo incidental (AU)

The increasing number of radiographic techniques performed by the patient for diagnosis and planning causes an increase the number of incidental findings. The description of an unexpected finding can trigger additional medical care including, other diagnostic procedures and treatments, therefore, in many occasions it is necessary to refer the patient to treat the pathology discovered incidentally. CBCT may aid in detecting the presence of previously undiagnosed periapical disease, where prior clinical evaluation and conventional radiographs have failed to reveal pathology. Asymptomatic or occult pathology may lead to delayed diagnosis, which may adversely affect eventual treatment strategies and outcomes. Early detection and improved diagnostic accuracy are essential, also, provide views of anatomy that most dentists have never before seen; in addition, they may reveal occult pathology, enabling more accurate and reliable diagnoses thereby reducing the possibility of missing clinically relevant disease (AU)

Assessment of conformity between clinical (radiological) and histopathological diagnoses of chronic inflammatory periapical lesions treated with apicoectomy. Clinical and histopathological diagnoses of periapical lesions. Research article.

OBJECTIVES: Periapical inflammation is one of the most common pathologies within the jaws, leading to the destruction of periodontal ligaments, bone resorption and the formation of periapical granulomas or radicular cysts. The final diagnosis can be made only on the basis of histopathological examination. The aim of the study was to assess the conformity between clinical and histopathological diagnosis of inflammatory periapical lesions treated with apicoectomy. MATERIALS AND METHODS: The case histories of 52 patients subjected to surgical treatment at the Clinic of Conservative Dentistry with Endodontics between 2008 and 2018 were analyzed. Demographic data (age, gender), clinical (radiological) diagnosis, and data on the presence of sinus tracts and causal tooth were obtained from patients' records. RESULTS: In the light of clinical and radiological examination, 32 (61.5%) periapical granulomas, 18 (34.6%) radicular cysts and 2 (3.9%) periapical scars were diagnosed, whereas the result of histopathological examination revealed granuloma in 34 (65.4%) cases and in 18 (34.6%) - radicular cyst. For clinical diagnosis of granuloma, the result coincided with the result of the histopathological examination in 28 cases, and in the case of cysts in 14. The analysis showed a significant relationship between the clinical and histopathological diagnoses (p <0.05). CONCLUSIONS: The study emphasizes the importance of histopathological assessment for the proper diagnosis of periapical lesions. CLINICAL RELEVANCE: The article emphasizes the high importance of histopathological examination for the correct diagnosis of chronic inflammatory periapical lesions.

Effect of Periapical Diseases in Development of MRONJ in Immunocompromised Mouse Model.

OBJECTIVES: This study aimed to assess the effect of zoledronic acid on an immunocompromised mice model with periapical disease. MATERIALS AND METHODS: Thirty C57BL/6N mice were randomly divided into three groups (N = 10). All animals were subjected to bilateral ovariectomy (OVX) and then treated with saline (Veh), zoledronic acid (ZA), or concomitant zoledronic acid and dexamethasone (ZA/Dx) for 12 weeks. Eight weeks after starting drug administration, pulpal exposure was conducted on the lower left first molar. Four weeks after pulpal exposure, all mice were sacrificed and the mandibles were collected for radiological and histological examinations. RESULTS: Microcomputed tomography (µ-CT) examination showed significantly reduced periapical bone resorption in the ZA/Dx group and decreased periodontal bone resorption in both ZA and ZA/Dx groups. Higher bone mineral density (BMD) and strengthened microstructure were found in ZA and ZA/Dx groups. More empty lacunae were found in ZA and ZA/Dx groups. CONCLUSIONS: Apical periodontitis aggravates MRONJ under immunocompromised circumstances. Concurrent use of ZA and steroids inhibits alveolar bone resorption but increases the risk of developing MRONJ.

Periapical Microsurgery: A 4-dimensional Analysis of Healing Patterns.

INTRODUCTION: Currently, the success of periapical microsurgery is determined by the restoration of the lamina dura and the elimination of symptoms. However, inadequate site preservation may prevent later implant placement. Although not possible before, the advent of cone-beam computed tomographic imaging and computer-aided registration allows for indirect and accurate 3-dimensional analysis of the surgical site over time. This study analyzed the volumetric healing pattern of the buccal plate after periapical microsurgery, with a specific focus on the buccolingual thickness of bone and the regression of the surface contour of the cortical plate. METHODS: Thirty-seven patients were scheduled for follow-up at least 1 year after periapical microsurgery (median = 25 months, total range = 12-31 months). Volumetric healing was analyzed by converting preoperative and postoperative cone-beam computed tomographic images into digital 3-dimensional models. The models were then registered to be able to analyze the changes in volume over time. Analysis was completed using Geomagic software (3D Systems, Rock Hill, SC), which allowed for registration of the volumes, calculation of volume change, and calculation of the margin of error. RESULTS: Twelve cases qualified for volumetric analysis. The median volumetric reduction of the cortical plate was -24.9 mm3 (interquartile range = -8.94 to -67 mm3), with an average linear error of 0.7 mm. This corresponded to an average loss in buccolingual dimension of 0.1-0.25 mm. Regression of the cortical plate was within the margin of error in all cases. CONCLUSIONS: After periapical microsurgery, and in the absence of grafting materials or membranes, healing occurs with little to no regression of the buccal cortical plate.

Dental magnetic resonance imaging for periodontal indication - a new approach of imaging residual periodontal bone support.

OBJECTIVE: The standard imaging techniques used in dentistry consist of two-dimensional radiographic techniques like intraoral periapical (PA) radiographs, bitewings or extraoral panoramic X-rays. Three-dimensional methods, such as cone beam computed tomography (CBCT), are not standard procedures. In several fields of dentistry, such as oral surgery or implantology, dental magnetic resonance imaging (DMRI), a technique without radiation exposure, has already been introduced as a new promising diagnostic tool. The aim of this study was to compare the agreement of DMRI and PA radiographs in measuring residual periodontal bone support. MATERIAL AND METHODS: In this study, the residual periodontal bone support of 21 teeth was investigated and compared with DMRI and PA radiographs by two independent raters. Intra-class correlation coefficients (ICCs) were calculated using the software R to identify the intra-rater and inter-rater agreement of the two modalities. Bland-Altman plots were created to directly compare the two methods. RESULTS: Overall, all calculated ICC values showed an excellent intra-rater and inter-rater agreement (>0.9) for DMRI, as well as PA radiographs. Bland-Altman analysis also showed a strong agreement between both diagnostic methods in this study. CONCLUSIONS: In conclusion, there was a strong agreement between DMRI and PA. Thus, DMRI proved to be a comparable method to PA radiographs for evaluating the proportion of residual periodontal bone support.