Radiographic diagnosis of periodontal diseases – Current evidence versus innovations

Periodontology 2000, Journal Year: 2024, Volume and Issue: 95(1), P. 51 - 69

Published: June 1, 2024

Accurate diagnosis of periodontal and peri-implant diseases relies significantly on radiographic examination, especially for assessing alveolar bone levels, defect morphology, quality. This narrative review aimed to comprehensively outline the current state-of-the-art in diseases, covering both two-dimensional (2D) three-dimensional (3D) modalities. Additionally, this explores recent technological advances imaging diagnosis, focusing their potential integration into clinical practice. Clinical probing intraoral radiography, while crucial, encounter limitations effectively complex defects. Recognizing these challenges, 3D modalities, such as cone beam computed tomography (CBCT), have been explored a more comprehensive understanding structures. The significance assessment approach is evidenced by its ability offer an objective standardized means evaluating hard tissues, reducing variability associated with manual measurements contributing precise health. However, clinicians should be aware challenges related CBCT assessment, including beam-hardening artifacts generated high-density materials present field view, which might affect image Integration digital technologies, artificial intelligence-based tools radiography software, enhances diagnostic process. overarching recommendation judicious combination enhanced assessment. Therefore, it crucial weigh benefits against risks higher radiation exposure case-by-case basis, prioritizing patient safety treatment outcomes.

Language: Английский

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Accuracy analysis of robotic-assisted immediate implant placement: A retrospective case series

Journal of Dentistry, Journal Year: 2024, Volume and Issue: 146, P. 105035 - 105035

Published: May 9, 2024

This study aimed to investigate the accuracy of a robotic computer-assisted implant surgery (r-CAIS) for immediate placement.

Language: Английский

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Low-dose CBCT protocols in implant dentistry: a systematic review

Oral Surgery Oral Medicine Oral Pathology and Oral Radiology, Journal Year: 2024, Volume and Issue: 138(3), P. 427 - 439

Published: April 6, 2024

To evaluate the state-of-the-art evidence for applying low-dose CBCT protocols in 3 stages of implant therapy (planning, insertion, and follow-up examination peri-implantitis) assess overall body presented literature.

Language: Английский

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Low‐dose, standard, and high‐resolution cone beam computed tomography for alveolar bone measurements related to implant planning: An ex vivo study in human specimens

Clinical Oral Implants Research, Journal Year: 2024, Volume and Issue: 35(11), P. 1394 - 1405

Published: July 5, 2024

Abstract Aim To evaluate the performance of low‐dose cone beam computed tomography (CBCT) protocols with regard to linear bone measurements in posterior mandible for implant planning compared higher dose protocols. Materials and Methods Forty‐two edentulous sites human cadaveric mandibles were imaged three CBCT scanners using or four varying exposure parameters achieve lower dose. Co‐registration was performed generate sagittal cross‐sectional image sections representative site. Three observers measured height, from alveolar crest mandibular canal, width, mm top crest. Intra‐ interobserver reproducibility assessed cases rated as nonmeasurable well completed measurements. The analyzed paired t ‐tests differences among frequency distribution a Pearson Chi‐square test. Results Reproducibility registering varied observers; however, no consistent significant found these observers, units, Intraclass correlation coefficients (ICC) >0.9 all height width. Mean <0.5 regardless protocol; one observer did some produce larger differences. Conclusion Linear not differ significantly could be excellent reliability, standard high‐resolution ones. Varying approaches rating found, indicating diagnostic strategies related observers.

Language: Английский

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Accuracy of bone graft loss assessment around titanium and zirconium implants at varying voxel sizes – an ex vivo CBCT study

Published: March 1, 2025

Language: Английский

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Cone beam computed tomography in dentistry: clinical recommendations and indication-specific features

Journal of Dentistry, Journal Year: 2025, Volume and Issue: unknown, P. 105781 - 105781

Published: April 1, 2025

Language: Английский

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A Multifunctional Guide for Non‐Carious Cervical Lesion Restoration and Root Coverage Using a Coronally Advanced Flap in the Treatment of Combined Lesions

Journal of Esthetic and Restorative Dentistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

ABSTRACT Objectives This case report describes a digital workflow that integrates restorative and surgical planning through the design fabrication of multifunctional guide to optimize outcomes in treatment combined lesions. Clinical Considerations Gingival recessions frequently occur alongside non‐carious cervical lesions (NCCLs), forming defects complicate cementoenamel junction (CEJ) identification planning. A 40‐year‐old male presenting with gingival recession NCCLs on teeth #14 #15. restoration was planned reconstruct lost CEJ using clinical reference points. custom subsequently designed replicate restoration’s contour delineate intended incision patterns for coronally advanced flap (CAF) procedure. The executed composite resin, assisting achieving precise contouring. Root coverage then performed CAF connective tissue graft, facilitating accurate scalpel blade placement during preparation. At one‐year follow‐up, complete root observed maintained stability terms marginal adaptation, color, surface integrity. Conclusions use can enhance precision both procedures management NCCL defects, potentially improving predictability outcomes. Significance highlights benefits 3D‐printed treating associated NCCLs.

Language: Английский

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Temporary Skeletal Anchorage Devices and Cone Beam Tomography in Orthodontics—Current Application and New Directions of Development

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 5028 - 5028

Published: June 9, 2024

Continuous progress in dentistry and orthodontics is crucial to ensuring high-quality diagnosis treatment of patients, especially since malocclusions occur up half the population. In addition limiting physiological functions masticatory system, they are often an aesthetic defect that may directly affect well-being even self-esteem their teenage years early adulthood. A holistic model perceiving treating orthodontic diseases, such as Biocreative Orthodontic Strategy, focusing not only on correction itself but also taking into account least possible interference physiology use appliances a minimum, patient’s preferences, special alternative conventional therapeutic models. this review, we presenting current knowledge regarding applications temporary skeletal anchorage devices (TSAD) cone beam computed tomography (CBCT) orthodontics.

Language: Английский

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Nonlinear Finite Element Analysis of Bone-Implant Contact in Three Short Dental Implant Models with Varying Osseointegration Percentages

Published: Aug. 29, 2024

Background/Objectives: Dental implants have become a cornerstone of restorative dentistry, providing long-lasting method for tooth replacement. The level osseointegration has big impact on the biomechanical stability at bone-implant contact (BIC), which determines how long these will work. However, exact consequences changing levels different implant designs, especially in bones with variable densities, are not well known. Three short dental were tested this study: BioMet 3iT3, Straumann® Standard Plus Short Regular Neck (SPS-RN), and Short-Wide (SPS-WN). 3D finite element analysis (FEA) was used to look they worked biomechanically. This paper tests four stages osseointegration: 25%, 50%, 75%, 100% both high-density (Bone Type III) low-density IV) cancellous bone. It also created examined realistic CAD models under static occlusal loading conditions assess stress distribution major strains contact.; Results: study discovered that as osteointegration increases, von Mises principal go down significantly all types. SPS-WN had lowest strain values, bone low density. These reductions demonstrate increased mechanical inter-face becomes more capable dispersing stresses, minimizing potential localized deformation resorption.; Conclusions: results highlight importance achieving optimum reduce increase lifespan implants. type performed better than others, when ideal. makes it great choice clinical applications need long-term success.Keywords: x

Language: Английский

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Artificial Intelligence (AI) Role in Implant Dentistry

Journal of Oral Implantology, Journal Year: 2024, Volume and Issue: 50(1), P. 1 - 2

Published: Feb. 1, 2024

Implant dentistry has progressed rapidly due to improved digital diagnostic imaging and Artificial Intelligence (AI). These two technologies have assisted in accurate treatment planning implementation of surgical prosthetic successes. Digital AI are the sine qua non implant dentistry.1The concept was created 1950s refers artificial machines that can perform tasks typically performed by humans.2 This a wild, futuristic bordering on science fiction! subset referred as Machine learning (ML). ML algorithms applied understand core statistical patterns structures collected data, which be used predict unobserved data. A further is neural network (NN), outperforms traditional algorithms, particularly complex data such imagery (i.e., radiographic images). NN mathematical non-linear model. Understanding human neuron guided creation NN. By stacking concatenating neurons then connecting those layers using operations, designed solve specific task, image interpretation, defining presence tooth decay yes or no scenario.2Computer intelligence deviates from natural does not replace responses; however, it support interpretation action. Traditional computer software (1.0) rules-based system takes programs logical rules generate limited, conclusions while outperforming humans time accuracy when performing these tasks.2,3Computer 2.0 uses outcomes infer rules. In machine learning, experts first engineered features learned (e.g., regression modeling). Advancing this information exposes "deep learning," process submitting deep multi-layered architectures. relevant mapped one step without feature engineering; allows for leveraging observed imagery.2,3 led radiomics, extraction even more scans than what visual assessments capable of. Radiomics enables assess observable measurable characteristics (information) found CBCT scan. observe things eye cannot. DL analyze increased information. Utilizing power massive collection, build predictive model artificially mimics intelligence.2,3 AI, through NN, similar our brains problems make fast, decisions.4NN plays role all aspects dentistry. helpful Restorative Dentistry (i) helping detect caries, (ii) identifying hidden existing restorations, (iii) determining cavity preparation technique would best caries removal. Endodontics, valid detecting periapical lesions root fractures, evaluating canal anatomy, pulp stem cells, (iv) file working length measurements, (v) locating minor apical foramen, (vi) predicting possible endodontic retreatment success. Orthodontics, predicts whether patients need pre-treatment extractions, considers anchorage patterns, Class II III patients, detects TMJ osteoarthritis, diagnoses pathology before morphological degeneration occurs. Periodontics, helps minimize errors diagnosis periodontal bone loss examination, standardize probing techniques, condition teeth surrounding hard tissues, systematize level oral hygiene, evaluates psychophysiological effectively risk developing disease. Oral Surgery, characterizes impact orthognathic surgery facial attractiveness age appearance post-treatment, third molar may lead paresthesia inferior alveolar nerve, odontogenic lesions.4 Forensic will improve efficiency cumbersome, time-consuming work automating some enhance quality evidence.5Diagnostic transitioned analog techniques two-dimensional (2D) three-dimensional (3D) formats.1 changes accommodated development applications, continue dental procedures.6 currently being recognize type/brand examining images, success, optimize design, cone-beam tomography (CBCT) imaging, determine osseointegration quality, identification non-mineralized tissue around bone-implant interface, (vii) measure peri-implant loss, (viii) facilitate placement (ix) help clinicians avoid complications difficulties occur during treatment.4,6Because scans, an comprehension patient's anatomical structures. Implantologists consider optimal position restorative perspective.7 Virtual AI-assisted precisely identifies needs place, proximity crucial structures, tooth-to-implant distances, ideal depth, precise inter-implant distances.7–9 Currently, technology 3-D superimposition merge intraoral surfaces combined with skeletal anatomy permits pre-operative simulations post-operative success.10 The discipline must acquisition protocols should tailored clinical needs, there trade-off between radiation exposure necessary advancements eventually real-time 4-D virtual patient-in-motion simulations.10 develop because demand high precision meticulous planning.AI become tool Implantologist. There strong evidence supporting synergy expertise well-trained Comprehensive Implantologist AI-driven intelligence. benefit workflows, procedural execution. sophisticated, predictable, technology-driven developed functional esthetic expectations. Clinicians master workflows well-accomplished Implantologists. It Implantology recognized specialty sub-specialty Maxillo-facial surgery, Prosthodontics, General Dentistry. too leave unguided position.

Language: Английский

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