Minerva dental and oral science最新文献

Background: Removable partial denture (RPD) is still a widely used prosthesis today to solve non-implant cases, despite its aesthetic contraindications. The aim of the following work is to evaluate how much the communication and explanation to the patient of the insertion axis of the removable partial prosthesis in the periodontium and teeth has an impact on his degree of acceptance of the aesthetic limits of this prosthesis.

Methods: For this study, 150 patients were examined from 10 dentists, 5 in Lombardy and 5 in Sicily, using inclusion criteria and exclusion criteria. All selected patients required removable partial dentures. The data was obtained by completing 2 questionnaires, at three different times, at prosthesis delivery, at 6 and 12 months.

Results: Questionnaires highlighted overlapping data in the two regions and a total absence of communication of the insertion axis by the dental technician laboratories was highlighted with a percentage of 100%. 28% of the patients complained of pain during the insertion of the prosthesis at 12 months and 39.33% of patients had mobility of remaining teeth with clasps at 12 months. All patients experienced no discomfort, and no important data were reported at the first 6-month follow-up.

Conclusions: For mobile partial dentures, respecting the insertion axis can improve the predictability of the periodontal tissue and the resistance of the remaining teeth with clasps. The drawing of an arrow in the model shows the insertion axis of the prosthesis. It would be desirable to include information regarding the insertion axis and advice for the management of the removable partial denture in the first days of use in the declaration of conformity given to the doctor and to thepatient, in the indications section. It can be said that correct insertion of the removable partial denture, helped by verbal and written instructions from the doctor, can reduce possible periodontal alterations of the remaining teeth, by eliminating spurious stresses during insertion and removal of the prosthesis.

Background: Soft tissue healing is of paramount importance when guided bone regeneration techniques are used, as early exposure of the membrane could affect the results.

Methods: In this randomized clinical trial, enrolling 20 patients, a gel rich in hyaluronic acid and amino acids was used to promote wound healing after a ridge augmentation procedure. The Early Wound Healing Index - EHS was used to assess soft tissue healing by primary intention following surgery at 1, 3, 7 and 14 days.

Results: Results showed faster tissue healing when hyaluronic acid mixed with amino acids was used, and also a lower perception of pain by patients measured with a VAS scale.

Conclusions: These data suggest the creation of larger research studies that can support the use of biologics for early soft tissue healing.

Background: The study's objective was to develop an automated method for a histopathology recognition model for odontogenic keratocysts (OKC) and non-keratocyst (Non-KC) in jaw cyst sections stained with hematoxylin (H) and eosin (E) on a tiny bit of incisional biopsy prior to surgery.

Methods: This hastens the speed and precision of diagnosis to patients. Also, navigates the clinicians with the therapeutic doctrine. To build such a system and to increase the accuracy of the existing models, the edge attention CNN model with Keras functional API was implemented which efficiently analyzes the texture information of the images. Approximately 2861 microscopic images at a 40X magnification were taken from 54 OKC, 23 Dentigerous cysts (DC), and 20 Radicular cysts.

Results: The model was trained using both RGB and canny edge-detected images. The model gave a good accuracy of 96.8%, which is suitable for real-time. Histopathological images are better analyzed through textural features. The proposed edge attention CNN highlights the edges, making texture analysis more precise.

Conclusions: The suggested method will work for OKC and Non-KC diagnosis automation systems. The use of a whole slide imaging scanner has the potential to increase accuracy and remove human bias.

Biomaterial refers to any material, non-pharmaceutical or combination of substances of synthetic or natural origin used for any period independently or as part of a system for the purpose of healing, assisting the growth or replacement of tissues, organs or functions of the body. It is an unsustainable material that interacts with biological systems. Before being produced a biomaterial goes through a sequence of steps, which includes: 1) the definition of the problem that the material will be called to solve (treatment, replacement of the instrument, aesthetic reasons); 2) design of the device, composition and control of materials (mechanical properties, toxicity, biological response, corrosion resistance, interaction with proteins, cells and tissues), manufacture, sterilization and standardization; 3) control of the device (in experimental animals, in vitro) clinical studies, studies; and 4) monitor its long-term use in vivo, in vitro and in patients. Research for ceramic materials is evolving and because they can be porous or glassy, they find applications in medicine and biotechnology, as they can be used as fillers, covering materials and scaffolds. Therefore, ceramic biomaterials are widely used not only in the field of orthopedic and maxillofacial surgery but also in dentistry as for dental prostheses. Materials monitoring technologies allow us to monitor the three-dimensional development in space, as well as imperfections or micro-cracks in the ceramic.

Background: It is well known that in bidimensional photography the orientation of the head is fundamental to obtain a correct reproduction of the subject. Even minimal errors in yaw, roll and pitch of the head can be cause of unreliability of the photography itself. This is not the case in three-dimensional photography in which head positioning may have no influence on the reliability of the results since on the computer the 3D reconstruction of the face can be oriented as desired, allowing any small errors to be corrected. The authors, in a previous in-vitro study, demonstrated this using a mannequin of the head. In the present study, the Authors repeat the study in vivo to verify any differences.

Methods: Seventeen anthropometric points were marked on the face of a young adult female (26 years old) with eyeliner. Images of the face were then acquired with a stereo-photogrammetric system (Face Shape 3D MaxiLine) in natural head position and with varying degrees of roll, pitch and yaw. The anthropometric points marked on the skin were then recognized and marked on a digital software (Viewbox, dHAL Software, 6 Menandrou Street, Kifissia 14561, Greece) on each individual image. 14 linear distances between these points were measured using the same software.

Results: The linear distances of these points in the stereophotos taken at centered positions were then compared with those taken with different degrees of roll, pitch and yaw. This study confirms previous results obtained in vitro regarding the presence of areas of non-equivalence (P<0.05) when comparing the frontal and lateral regions of the face at various angles.

Conclusions: However, it introduces important suggestions on the collection of data from specific anthropometric points. If these points are to be assessed, the medical staff will have to take special precautions to obtain reliable images.

Background: Root surface caries, commonly known as root decay, is a common dental disorder that affects tooth roots. Like enamel-based tooth decay, root caries attack exposed root surfaces caused by gum recession or periodontal disease. Older persons with gum recession, tooth loss, or poor oral hygiene may be more likely to develop this disorder. Dental root caries must be diagnosed early to improve treatment and prevention. This research will examine radiographic image-based AI-based root caries prediction algorithms.

Methods: Saveetha Dental College supplied 200 root surface radiographs. An expert dentist and dental radiologist confirmed one hundred teeth with root caries and 100 without. Edited and segmented radiographic images. Orange, a machine learning squeeze net embedding model with Naive Bayes, Logistic Regression, and neural networks, was used to assess prediction accuracy. Training and test data were split 80/20. Cross-validation, confusion matrix, and ROC analysis assessed model performance. This study examined precision and recall.

Results: Naïve bayes and logistic regression have 96% and 100% accuracy, but class accuracy is -94% and 100% in image classification of root caries was seen.

Conclusions: AI-based root caries prediction utilizing radiographic images would improve dental care by diagnosing and treating early, accurately, and personalized. With appropriate deployment, research, and ethics, AI integration in dentistry could benefit practitioners and patients. Dental professionals and AI experts must work together to maximize this new technology.AI integration in dentistry can significantly improve root caries diagnosis and treatment by predicting root caries using radiographic images. This early detection reduces treatment need and time. Collaboration between dental professionals and AI experts is crucial for maximizing benefits.

Background: A lack of healthy red blood cells such as iron deficiency frequently consequences as anemia. In expectant women, iron deficiency increases the risk of developmental delays in the fetus. It is utilized to regenerate red blood cells (RBC), which determines the storage and transport of oxygen in the body. As for oral symptoms and indications, it has an inclusive of atrophic glossitis, oral mucosa atrophy, and oral mucosa tenderness or a sensation with burning in mouth. The objective is to determine RBC parameters for iron deficiency anemia (IDA) symptoms in oral disease patients.

Methods: Normal and oral disease patients' blood is collected in a 2-mL EDTA vial for the hematology analyzer. With file number SRB/SDC/UG-2155/22/493, the institutional ethical approval committee approved this study: 10 controls (without anemia) and 10 patients with oral disease (with anemia).

Results: In oral disease patients with anemia, a decreased hemoglobin level is observed. In this study, nearly all anemic patients have IDA. In IDA, the RBC count decreases, the MCV decreases, the MCH decreases, and the RDW rises. We have analyzed various iron deficiency anemia indices. Ricercari and Eshani demonstrate a significant change in it.

Conclusions: In predicting iron deficiency anemia, our results indicate that oral patients have significant differences in hematological parameters that are individual. It demonstrates that oral disease patients are developing iron deficiency anemia than controls (healthy). Additionally, the discrimination indices reveal that they do not have hemoglobinopathies but rather iron deficiencies. Oral manifestations are more prevalent in Iron deficiency anemia (IDA) patients than in healthy patients, according to our findings.

Background: A pyogenic granuloma (PG) represents a swiftly proliferating benign vascular tumor situated in the skin or subcutaneous tissue, commonly observed as a reactive lesion in the orofacial area. This research intended to scrutinize the clinicopathological characteristics of pyogenic granulomas in the oral and maxillofacial region.

Methods: Seventy two participants, comprising 24 men (33%) and 48 women (67%), underwent surgical ablation of pyogenic granuloma in oral and maxillofacial regions utilizing 940nm and 980nm diode lasers. Standard tissue processing procedures were applied to all specimens, with subsequent slicing of paraffin-embedded blocks at a 5µm thickness for H & E staining. A microscopic examination via light microscopy was conducted on all slides to confirm the diagnosis.

Results: All cases underwent pyogenic granuloma surgical laser ablation, with 53 individuals (74%) aged 30 years or younger, 19 (26%) aged 30 years or more, 52 (72%) have duration less than six months,, and 20 (28%) have a six months or more.

Conclusions: Pyogenic granuloma emerges as a prevalent reactive lesion in the oral and maxillofacial domain. The diode laser demonstrates utility in oral and facial soft tissue surgery owing to its facile application, enhanced coagulation, avoidance of suturing, reduced swelling and pain, and its capacity for esthetically favorable outcomes, encompassing superior de-epithelialization, absence of bleeding, and improved repair. The roles of surgeons and pathologists are pivotal in diagnosing and treating pyogenic granuloma in oral and maxillofacial regions.

Background: Treponema denticola, a well-studied oral spirochete, adheres, invades, and damages periodontal tissues - gram-negative, anaerobic Treponema denticola. In previous research, sub-gingival spirochetes have correlated positively with dental plaque score, pocket, and clinical attachment level measurements. Hence, the study aims to design an immunoinformatic vaccine using a reverse vaccinology approach against Treponema denticola ergothionase.

Methods: Protein Data Bank provided the FASTA amino acid sequence of Treponema denticola. Antigenicity, toxicity, and stability of discovered T-cell epitopes were evaluated to develop 6S7Q B and A multiepitope vaccination design. The Vaccine's dual major histocompatibility complex (MHC I and II) binding epitopes were also predicted. The designed Vaccine's identified epitope sequence and secondary structure were then predicted and validated. Protein-protein interactions involving ergothionase and human beta-defensins were investigated using molecular docking.

Results: The designed Vaccine had high antigenicity, toxicity, and stability. The Vaccine's three-dimensional structure demonstrated a significant association with beta-defensin. Its low binding energy score of -827.6 kcal/mol indicates that the immune system will respond favorably to the antigen.

Conclusions: In this research, we employed immunoinformatic techniques to create a reverse vaccination effort to develop an in-silico vaccine.

Background: Oral squamous cell carcinoma (OSCC) is the most common oral malignant tumor, which has poor prognosis. The traditional investigative modality is invasive biopsy which is the gold standard for diagnosis. In recent years, alternative methods like non-invasive biomarkers have been studied for their potential role in early diagnosis and prognosis. Among them, microRNAs (miRNAs or miRs) are short non-coding RNAs that regulate gene expression in various diseases, including OSCC. Several miRNAs are being researched as non-invasive biomarkers as well as novel therapeutic targets in the treatment of OSCC. MiR expression can be upregulated or downregulated in OSCC. Among the reported miRNAs, miR-1285 is an important miRNA found to be involved in OSCC. The aim of the current study was to quantify the levels of miR-1285 in OSCC samples and to validate their potential role as biomarkers for OSCC detection.

Methods: Sixteen samples of cancer tissue and normal tissue were evaluated from a total of 25 patients, in the study, conducted in the Department of Oral and Maxillofacial Surgery. The tissues were processed for H&E staining and gene expression analysis of miR-1285. The samples were collected after proper informed consent from the patients. Total RNA isolated was reverse transcribed into cDNA which was used in the gene expression analysis using qRT-PCR.

Results: The histopathological examination confirmed the OSCC cases and the gene expression analysis revealed that miR-1285 was significantly downregulated in OSCC tissues. Since miR-1285 showed significant difference between the OSCC and normal tissues it could be postulated as a potential biomarker and therapeutic target for OSCC.

Conclusions: Further in-vitro and in-vivo studies could validate their functional role in OSCC.