Simone Muraglie

Dr. Simone Muraglie


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 December 2019 in Nutrients
Verified
Journal Article
Open access
PDF file
Gaetano IsolaGaetano Isola
Gaetano Isola
Alessandro PolizziAlessandro Polizzi
Alessandro Polizzi
SMSimone Muraglie
Simone Muraglie
Rosalia Maria LeonardiRosalia Maria Leonardi
Rosalia Maria Leonardi
Antonino Lo GiudiceAntonino Lo Giudice
Antonino Lo Giudice
Vitamin C and antioxidants play a crucial role in endothelial function and may be a link for the known interaction of periodontitis and ischemic heart disease (CAD). This pilot study evaluates the association of gingival health, periodontitis, CAD, or both conditions with salivary and serum vitamin C and antioxidant levels. The clinical and periodontal characteristics, serum, and saliva samples were collected from 36 patients with periodontitis, 35 patients with CAD, 36 patients with periodontitis plus CAD, and 36 healthy controls. Levels of vitamin C, antioxidants, and C-reactive protein (hs-CRP) were assessed with a commercially available kit. The median concentrations of salivary and serum vitamin C and antioxidants (α-tocopherol, β-carotene, lutein, and lycopene) were significantly lower in the CAD group (p < 0.001) and in the periodontitis plus CAD group (p < 0.001) compared to periodontitis patients and controls. In univariate models, periodontitis (p = 0.034), CAD (p < 0.001), and hs-CRP (p < 0.001) were significantly negatively associated with serum vitamin C; whereas, in a multivariate model, only hs-CRP remained a significant predictor of serum vitamin C (p < 0.001). In a multivariate model, the significant predictors of salivary vitamin C levels were triglycerides (p = 0.028) and hs-CRP (p < 0.001). Patients with CAD and periodontitis plus CAD presented lower levels of salivary and serum vitamin C compared to healthy subjects and periodontitis patients. hs-CRP was a significant predictor of decreased salivary and serum vitamin C levels.

21 June 2020 in Materials
Verified
Journal Article
Open access
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Antonino Lo GiudiceAntonino Lo Giudice
Antonino Lo Giudice
VRVincenzo Ronsivalle
Vincenzo Ronsivalle
Cristina GrippaudoCristina Grippaudo
Cristina Grippaudo
Alessandra LuccheseAlessandra Lucchese
Alessandra Lucchese
SMSimone Muraglie
Simone Muraglie
Gaetano IsolaGaetano Isola
Gaetano Isola
The accuracy of 3D reconstructions of the craniomaxillofacial region using cone beam computed tomography (CBCT) is important for the morphological evaluation of specific anatomical structures. Moreover, an accurate segmentation process is fundamental for the physical reconstruction of the anatomy (3D printing) when a preliminary simulation of the therapy is required. In this regard, the objective of this study is to evaluate the accuracy of four different types of software for the semiautomatic segmentation of the mandibular jaw compared to manual segmentation, used as a gold standard. Twenty cone beam computed tomography (CBCT) with a manual approach (Mimics) and a semi-automatic approach (Invesalius, ITK-Snap, Dolphin 3D, Slicer 3D) were selected for the segmentation of the mandible in the present study. The accuracy of semi-automatic segmentation was evaluated: (1) by comparing the mandibular volumes obtained with semi-automatic 3D rendering and manual segmentation and (2) by deviation analysis between the two mandibular models. An analysis of variance (ANOVA) was used to evaluate differences in mandibular volumetric recordings and for a deviation analysis among the different software types used. Linear regression was also performed between manual and semi-automatic methods. No significant differences were found in the total volumes among the obtained 3D mandibular models (Mimics = 40.85 cm3, ITK-Snap = 40.81 cm3, Invesalius = 40.04 cm3, Dolphin 3D = 42.03 cm3, Slicer 3D = 40.58 cm3). High correlations were found between the semi-automatic segmentation and manual segmentation approach, with R coefficients ranging from 0,960 to 0,992. According to the deviation analysis, the mandibular models obtained with ITK-Snap showed the highest matching percentage (Tolerance A = 88.44%, Tolerance B = 97.30%), while those obtained with Dolphin 3D showed the lowest matching percentage (Tolerance A = 60.01%, Tolerance B = 87.76%) (p < 0.05). Colour-coded maps showed that the area of greatest mismatch between semi-automatic and manual segmentation was the condylar region and the region proximate to the dental roots. Despite the fact that the semi-automatic segmentation of the mandible showed, in general, high reliability and high correlation with the manual segmentation, caution should be taken when evaluating the morphological and dimensional characteristics of the condyles either on CBCT-derived digital models or physical models (3D printing).

4 September 2018 in BMC Oral Health
Verified
Journal Article
Open access
PDF file
Rosalia Maria LeonardiRosalia Maria Leonardi
Rosalia Maria Leonardi
SMSimone Muraglie
Simone Muraglie
salvatore crimisalvatore crimi
salvatore crimi
MPMarco Pirroni
Marco Pirroni
Giuseppe MusumeciGiuseppe Musumeci
Giuseppe Musumeci
RPRosario Emanuele Perrotta
Rosario Emanuele Perrotta
The goal of this study was to investigate in patients with unilateral palatally displaced canine (PDC) the morphology of maxillary teeth from cone-beam computed tomography (CBCT) scans both on the PDC side and non-PDC side using a “surface matching” technique. CBCT images from 28 patients (mean age 16.04 ± 1.77 years) with unilateral PDC were selected. Each tooth in this study was segmented and then rendered into a 3D model using Mimics Research software and the root length was measured. Afterwards, 3D deviation analysis between the PDC and non-PDC side was carried out using Geomagic Control X software. Statistically significant differences (p ≤ 0.001) were obtained when comparing the root lengths and volumes of lateral incisors from the PDC side, non-PDC side and control group. In accordance with the findings of 3D deviation analysis, statistically significant differences between the patients and control group were obtained for the lateral incisors and canines (p ≤ 0.0001) and greater differences were found for the tooth crowns and root tips. Lateral incisors adjacent to PDCs have shorter roots than contra-lateral lateral incisors. Furthermore, there were morphological differences between lateral incisors and canines in subjects with unilateral PDCs.

1 May 2020 in The Angle Orthodontist
Verified
Journal Article
Closed access
SMSimone Muraglie
Simone Muraglie
RLRosalia Leonardi
Rosalia Leonardi
KAKhaled Aboulazm
Khaled Aboulazm
CSChiara Stumpo
Chiara Stumpo
CLCarla Loreto
Carla Loreto
CGCristina Grippaudo
Cristina Grippaudo
Objectives: To compare, using surface-to-surface (StS) matching, any shape differences between the crossbite and noncrossbite side of the glenoid fossa and articular eminence in adult patients affected by posterior unilateral crossbite (PUXB) and compare them with unaffected controls. Materials and Methods: 32 cone beam computed tomography (CBCT) scans of patients (mean age: 23.72 ± 3.74 years) undergoing surgical maxillary expansion were analyzed to obtain three-dimensional models of the left and right glenoid fossae that were superimposed using stable anatomical reference points and then compared using StS matching to evaluate the presence of any shape differences. These findings were compared with those obtained from 16 CBCT scans of unaffected controls (mean age: 23.72 ± 3.73 years). Results: A mean difference of >11% was found between the study group and controls when comparing the matching percentages of the two sides of the glenoid fossa and articular eminence at all three levels of tolerance selected for this study. These differences were found to be highly statistically significant ( P ≤ .0001). Conclusions: According to the shape analysis findings, adult PUXB patients exhibit a higher degree of glenoid fossa and articular eminence shape differences compared to unaffected controls.

1 March 2019
Verified
Closed access
SMSimone Muraglie
Simone Muraglie
GMG. Musumeci
G. Musumeci
CLC. Loreto
C. Loreto
RLR. M. Leonardi
R. M. Leonardi