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Bioengineering
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Novel Insights in Biosensors, Diagnostic Technologies and Surgical Methodologies for...
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Novel Insights in Biosensors, Diagnostic Technologies and Surgical Methodologies for Medical Applications Furthermore, Oral Surgery

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Regenerative Engineering".

Deadline for manuscript submissions: closed (28 February 2024) | Viewed by 7873

Special Issue Editors

Prof. Dr. Antonio Scarano

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Guest Editor
Post-Graduate School of Oral Surgery, University of Chieti-Pescara, 66100 Chieti, Italy
Interests: SARS-CoV-2; COVID-19; oral diseases; vaccines
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Francesco Inchingolo

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Guest Editor
Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy
Interests: stem cells regeneration tissue; dental disease; dental biomaterials; orthodontic diseases; orthodontic innovation; oral surgery
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Dr. Gianluca M. Tartaglia

E-Mail Website
Guest Editor
1. Department of Biomedical, Surgical and Dental Sciences, University of Milano, 20122 Milan, Italy
2. Dental and Maxillo-Facial Surgery Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, 20122 Milan, Italy
Interests: oral surgery; MRONJ management; temporomandibular joint disorders; reconstructive surgery; bone regeneration; dental implants; zygomatic implants; guided surgery; biomaterials; tissue engineering; CAD/CAM methods; virtual surgical planning
Special Issues, Collections and Topics in MDPI journals
Dr. Gianna Dipalma

E-Mail Website
Guest Editor
Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
Interests: stem cells regeneration tissue; dental disease; dental biomaterials; orthodontic diseases; orthodontic innovation; oral surgery
Special Issues, Collections and Topics in MDPI journals
Dr. Marco Farronato

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Guest Editor
Faculty of Medicine, Orthodontics Department, Università degli Studi di Milano, 20122 Milan, Italy
Interests: digital dentistry; augmented reality; orthodontics; digital imaging
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Dr. Ioana-Roxana Bordea

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Guest Editor
Department of Oral Rehabilitation, Faculty of Dentistry, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
Interests: oral health; laser in dentistry; laser coagulatio; laser therapy
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Dr. Felice Lorusso

E-Mail Website
Guest Editor
Department of Innovative Technologies in Medicine and Dentistry, University of Chieti-Pescara, 66100 Chieti, Italy
Interests: N95 respirators; surgical mask; protective face masks; COVID-19; infection control; thermal infrared imaging; atmospheric plasma technique; X-ray microanalysis; laser; dental implants
Special Issues, Collections and Topics in MDPI journals
Dr. Alessio Danilo Inchingolo

E-Mail Website
Guest Editor
Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy
Interests: oral surgery; orthodontics; microbiota; oral health; COVID-19; prevention; diagnosis; endodontics; parodontology; implantology
Special Issues, Collections and Topics in MDPI journals
Dr. Cristina Grippaudo

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Guest Editor
Head and Neck Department, Università Cattolica del Sacro Cuore, and Fondazione Policlinico Universitario "A. Gemelli" IRCCS, L.go Agostino Gemelli 8, 00168 Rome, Italy
Interests: dental; oral; bone regeneration
Special Issues, Collections and Topics in MDPI journals
Dr. Ludovica Nucci

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Co-Guest Editor
Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, 80100 Naples, Italy
Interests: impacted canine; early treatment; dentofacial orthopedics; cleft lip and palate
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The recent innovations in the field of biosensor technologies represent an important factor for medical monitoring, diagnostic accuracy, and oral surgery safety.  New possibilities due to the increase of sensibility and selectivity of different biosensors, novel scaffold constructs and state-of-the-art surgical techniques are able to improve the knowledge about the biological and biomechanical response to oral tissues and treatments response.

The present Special Issue aims to investigate the recent applications of innovative biosensors for the therapies and healthcare safety in the field of medicine and dentistry

In detail, the in vivo and in vitro original articles, literature reviews and clinical studies will be considered for publication in the present Special Issue.

Prof. Dr. Antonio Scarano
Prof. Dr. Francesco Inchingolo
Prof. Dr. Gianluca M. Tartaglia
Dr. Gianna Dipalma
Dr. Marco Farronato
Dr. Ioana-Roxana Bordea
Dr. Felice Lorusso
Dr. Alessio Danilo Inchingolo
Dr. Cristina Grippaudo
Guest Editors

Dr. Ludovica Nucci
Co-Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

16 pages, 441 KiB  
Article
Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study
by Harry Chweidan, Nikolay Rudyuk, Dorit Tzur, Chen Goldstein and Galit Almoznino
Bioengineering 2024, 11(2), 134; https://doi.org/10.3390/bioengineering11020134 - 29 Jan 2024
Cited by 1 | Viewed by 1771
Abstract
The objective of this study was to analyze the associations between temporomandibular disorders (TMDs) and metabolic syndrome (MetS) components, consequences, and related conditions. This research analyzed data from the Dental, Oral, Medical Epidemiological (DOME) records-based study which integrated comprehensive socio-demographic, medical, and dental [...] Read more.
The objective of this study was to analyze the associations between temporomandibular disorders (TMDs) and metabolic syndrome (MetS) components, consequences, and related conditions. This research analyzed data from the Dental, Oral, Medical Epidemiological (DOME) records-based study which integrated comprehensive socio-demographic, medical, and dental databases from a nationwide sample of dental attendees aged 18–50 years at military dental clinics for 1 year. Statistical and machine learning models were performed with TMDs as the dependent variable. The independent variables included age, sex, smoking, each of the MetS components, and consequences and related conditions, including hypertension, hyperlipidemia, diabetes, impaired glucose tolerance (IGT), obesity, cardiac disease, obstructive sleep apnea (OSA), nonalcoholic fatty liver disease (NAFLD), transient ischemic attack (TIA), stroke, deep venous thrombosis (DVT), and anemia. The study included 132,529 subjects, of which 1899 (1.43%) had been diagnosed with TMDs. The following parameters retained a statistically significant positive association with TMDs in the multivariable binary logistic regression analysis: female sex [OR = 2.65 (2.41–2.93)], anemia [OR = 1.69 (1.48–1.93)], and age [OR = 1.07 (1.06–1.08)]. Features importance generated by the XGBoost machine learning algorithm ranked the significance of the features with TMDs (the target variable) as follows: sex was ranked first followed by age (second), anemia (third), hypertension (fourth), and smoking (fifth). Metabolic morbidity and anemia should be included in the systemic evaluation of TMD patients. Full article
(This article belongs to the Special Issue Novel Insights in Biosensors, Diagnostic Technologies and Surgical Methodologies for Medical Applications Furthermore, Oral Surgery)
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13 pages, 1693 KiB  
Article
Exfoliative Cytology and Genetic Analysis for a Non-Invasive Approach to the Diagnosis of White Sponge Nevus: Case Series
by Carlo Lajolo, Concetta Cafiero, Egidio Stigliano, Francesca Romana Grippaudo, Pietro Chiurazzi and Cristina Grippaudo
Bioengineering 2023, 10(2), 154; https://doi.org/10.3390/bioengineering10020154 - 23 Jan 2023
Cited by 1 | Viewed by 2528
Abstract
Background: White Sponge Nevus (WSN) is a rare benign disorder associated with mutations in genes coding for cytokeratin 4 (KRT4) and 13 (KRT13) characterized by dyskeratotic hyperplasia of mucous membranes. This study was aimed at examining different approaches (cytology, pathology and genetic analysis) [...] Read more.
Background: White Sponge Nevus (WSN) is a rare benign disorder associated with mutations in genes coding for cytokeratin 4 (KRT4) and 13 (KRT13) characterized by dyskeratotic hyperplasia of mucous membranes. This study was aimed at examining different approaches (cytology, pathology and genetic analysis) to WSN diagnosis. Methods: A series of four patients with asymptomatic white diffuse oral lesions were evaluated and, before performing an incisional biopsy for pathology, an oral brush Thin Prep was collected for exfoliative liquid-based cytology (LBC). DNA for genetic analysis was also obtained from patients and both their parents, using buccal swabs. Results: Pathology and cytology showed similar results, leading to the same diagnosis of hyperkeratotic epithelium with acanthosis and spongiosis, without atypia, demonstrating the efficiency of LBC for the differential diagnosis. Sequencing analysis revealed at least 6 rare variants in the KRT4 and KRT13 genes in each patient, contributed in part by both unaffected parents. Conclusions: Thin Prep for oral exfoliative cytology and genetic analysis are sufficient for an accurate diagnosis of WSN. The combination of cytological and genetic analyses could substitute the histologic exam, providing a non-invasive alternative for incisional biopsy. Full article
(This article belongs to the Special Issue Novel Insights in Biosensors, Diagnostic Technologies and Surgical Methodologies for Medical Applications Furthermore, Oral Surgery)
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14 pages, 1648 KiB  
Article
Investigation on Enamel and Dentine of Tooth through 1D Photonic Structure to Identify the Caries in Human Teeth
by Mohammad Khursheed Alam, Vigneswaran Dhasarathan, Moustafa H. Aly, Mahmud Uz Zaman, Kiran Kumar Ganji, Rehana Basri, Manay Srinivas Munisekhar and Anil Kumar Nagarajappa
Bioengineering 2022, 9(12), 788; https://doi.org/10.3390/bioengineering9120788 - 9 Dec 2022
Cited by 1 | Viewed by 2561
Abstract
In this research, a one-dimensional (1D) photonic structure was employed to study the nature of both enamel and dentine teeth at the signal of 1.8 THz. A simple three layer one-dimensional crystal is chosen to avoid fabrication intricacy. The materials and methods for [...] Read more.
In this research, a one-dimensional (1D) photonic structure was employed to study the nature of both enamel and dentine teeth at the signal of 1.8 THz. A simple three layer one-dimensional crystal is chosen to avoid fabrication intricacy. The materials and methods for sample preparations are discussed. The principle of investigation of caries in the teeth relies on the amount of reflected signal from the structure. Similarly, reflectance is a function of refractive indices and thickness of each layer, the nature of both substrate and infiltrated materials, and the configuration of the structure. Apart from this, the fabrication process of one-dimensional structure and experimental set-up was proposed in this article. The numerical treatment is explained here to obtain reflectance, and subsequently, the output potential. Comparison studies on output potential between enamel and dentine are also shown through graphical representation. The output result in terms of milli-Volt (mV) were obtained at the output end and collected at the photodiode. Interesting results were also observed at the photodetector. For example; the output potential of the reflected signal is around 0.18 mV for both enamel and dentine teeth whereas the potential is more than 0.26 mV and 0.31 mV for caries in dentine and enamel, respectively. Finally, it was inferred that the nature of teeth pertaining to the caries in the enamel and dentine teeth can be investigated by identifying the amount of potential at the output end. Full article
(This article belongs to the Special Issue Novel Insights in Biosensors, Diagnostic Technologies and Surgical Methodologies for Medical Applications Furthermore, Oral Surgery)
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