Determination of the palatal masticatory mucosa thickness by dental MRI: a prospective study analysing age and gender effects

Heil, Alexander; Fs, Schwindling; Jelinek, Constanze; Fischer, Marc; Prager, Marcel; E, Lazo Gonzalez; Bendszus, Martin; Heiland, Sabine; Hilgenfeld, Tim

doi:10.1259/dmfr.20170282

Cited by 20 publications

(19 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Conflicting findings regarding the palatal mucosal thickness has been reported in literature (Barriviera, Duarte, Januário, Faber, & Bezerra, 2009; Gupta, Jan, Behal, Mir, & Shafi, 2015; Heil et al, 2018; Müller, Heinecke, Schaller, & Eger, 2000; Song et al, 2008; Wara‐aswapati, Pitiphat, Chandrapho, Rattanayatikul, & Karimbux, 2001).…”

Section: Introductionmentioning

confidence: 98%

“…Knowing the thickness of the palate would guide the periodontist to make appropriate incisions and, choose the appropriate location to obtain a graft of adequate thickness and dimensions. Several factors are believed to affect the thickness of the palatal gingiva including age, gender, race, smoking status, dentition, orthodontic treatment, systemic diseases, drugs, immunosuppression, and individual variations (Heil et al, 2018; Khatri et al, 2017; Manjunath, Rana, & Sarkar, 2015; Stipetic et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Anatomic factors influencing dimensions of soft tissue graft from the hard palate. A clinical study

Said

Khalid²,

Farook

2020

Clinical & Exp Dental Res

View full text Add to dashboard Cite

Objectives The aim of the present study was to measure the thickness of the palatal mucosa in a Jordanian (Middle Eastern) population as well as identify possible factors that may influence the thickness of palatal mucosa. Material and Methods Sixty period on tally healthy subjects (29 males and 31 females) were selected. Fifteen measurement points were defined on the palate. The mucosal thickness in the hard palate was determined by “bone sounding” with a Hu‐Friedy® round periodontal probe. Results The overall mean thickness of the palatal masticatory mucosa was 3.23 ± 0.47 mm.The mean thickness increased from the gingival margin to a more apical position irrespective of the tooth measured or side of the mouth in the following sequence: canine, second molar, first premolar, second premolar and lastly, the first molar. No significant difference between gender, smoking status, gingival phenotype andsides of the mouth with the thickness of palatal masticatory mucosa was determined. A significant difference between palatal shape and palatal gingival thickness was found. Conclusions The most appropriate site for graft harvesting is the canine‐premolar area 8‐13 mm from the mid‐palatal aspect of each respective tooth in a Jordanian population. Except for the palatal shape, the side of the mouth, smoking, gender or gingival phenotype does not affect the graft harvest. Clinical Relevance Scientific Rationale for Study Knowledge on the thickness of the masticatory mucosa is crucialin making decisions for surgical treatment modality and may affect surgical outcome. We measured the thickness of the palatal mucosa in a Jordanian population and identified possible influencing factors. Principal Findings The thickness varied according to the teeth and the canine to premolar region was found to be the appropriate donor site. Practical Implications This information on safe zone for graft harvest can guide the periodontist to make appropriate incisions and choose the appropriate location to obtain a graft of adequate thickness and dimensions.

show abstract

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Anatomic factors influencing dimensions of soft tissue graft from the hard palate. A clinical study

Said

Khalid²,

Farook

2020

Clinical & Exp Dental Res

View full text Add to dashboard Cite

show abstract

“…Along with recent technical advances (Flügge et al., 2016; Hilgenfeld, Prager, et al, 2018; Prager et al., 2015; Sedlacik et al., 2016), in vivo application of three‐dimensional (3D) dental magnetic resonance imaging (dMRI) has attracted growing interest in dentistry. This non‐ionizing dental imaging technique has already demonstrated high accuracy and reproducibility in 3D evaluation of periodontal soft tissues (Heil et al., 2018; Hilgenfeld, Kastel, et al, 2018) and peri‐implant bone defects (Hilgenfeld, Juerchott, et al, 2018). However, further research is needed to evaluate the clinical applicability of dMRI in the field of periodontology.…”

Section: Introductionmentioning

confidence: 99%

In vivo accuracy of dental magnetic resonance imaging in assessing maxillary molar furcation involvement: A feasibility study in humans

Juerchott

Sohani²,

Schwindling

et al. 2020

J Clinic Periodontology

Self Cite

View full text Add to dashboard Cite

Aim To investigate the accuracy and reliability of dental magnetic resonance imaging (dMRI) in assessing maxillary molar furcation involvement (FI). Material and Methods In this prospective study, 22 patients with severe periodontitis underwent cone‐beam computed tomography (CBCT) and dMRI. For 192 furcation entrances, the degree of horizontal FI was assessed by two independent observers on both modalities. Results of dMRI were compared with CBCT (reference modality) to assess the accuracy of dMRI. Cohen's kappa (κ), sensitivity and specificity were calculated for FI classification. Bland–Altman analysis and the Kruskal–Wallis test were used to evaluate measurement accuracy of dMRI. Results Based on CBCT findings, 93 furcation entrances revealed FI (degree I/II/III: 35/19/39). Intra‐ and inter‐reader agreement was excellent for both modalities (κ‐range: 0.884 to 0.933). dMRI measurements showed high agreement with CBCT (bias: 0.17 mm; 95% limits of agreement: −1.05 to 1.38 mm), and measurement accuracy did not differ among different degrees of FI (p = .67). For FI detection, sensitivity and specificity of dMRI were 98% and 99%. For FI classification, sensitivity values of dMRI were 89%/84%/100% for degree I/II/III. Conclusions Compared to CBCT (non‐invasive gold standard), dMRI demonstrates high accuracy and reliability in evaluating the degree of FI in maxillary molars.

show abstract

“…Compared to CBCT, magnetic resonance imaging (MRI) might be superior for visualising intraoral hard and soft tissues while providing reliable data [ 41 ]. MRI has not been clinically established for dental purposes, it is expensive and requires a long examination time.…”

Section: Discussionmentioning

confidence: 99%

Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning

et al. 2022

View full text Add to dashboard Cite

Background In mucogingival and implant surgery, an autologous soft tissue graft from the palate is the gold standard for reconstructing missing keratinised soft tissue and volume. Previously, presurgical measurements of the graft harvesting site were described with two-dimensional (2D) linear measurements. The present observational clinical study aimed to evaluate a three-dimensional (3D) measurement method for determining the present palatal soft tissue volume for each patient individually. Methods Pre-existing cone beam computed tomography (CBCT) scans of 20 patients were converted into 3D Standard Tessellation Language models of the bone surface. Intraoral impressions of the maxilla were taken and digitised to visualise the gingival surface. The resulting virtual models of bone (reference value) and gingival (actual value) surfaces were merged, with tooth surfaces used for registration. The region between the central incisors and the hard palate was subdivided into 5 regions of interest (ROIs). The distance between palatal bone and gingival surface was analysed both volumetrically and linearly, and the results were statistically evaluated for the ROIs. Results The average gingival surface area on the palate was 19.1 cm2, and the mean volume was 58.2 cm3 (± 16.89). Among the ROIs, the mean linear value was highest in the most distal region, from the second molar to the hard palate (4.0 ± 1.09 mm) and lowest in the canine region (1.9 ± 0.63 mm). For mean distance, significant differences were found for the anterior palate and the most posterior palate in comparison with all other ROIs (p < 0.01). The volume measurements also declined significantly and steadily between the posterior (1.9 ± 1.0 cm3) and anterior palates (0.4 ± 0.2 cm3). Conclusions By merging digital data, palatal soft tissue could be quantified virtually. The results were reliable and comparable to previous findings with linear measurement methods. This 3D soft tissue volume analysis method fully exploited the diagnostic potential of data that are frequently collected for presurgical planning in oral surgery (i.e., CBCT + surface scans). This evaluation method might be useful for volumetric and linear measurements in other applications in anatomy and for determining palatal soft tissue dimensions in the planning stage before surgical interventions. Trial registration This observational clinical trial was retrospectively registered in the German Clinical Trials Register, reference number: DRKS00023918.

show abstract

Determination of the palatal masticatory mucosa thickness by dental MRI: a prospective study analysing age and gender effects

Cited by 20 publications

References 28 publications

Anatomic factors influencing dimensions of soft tissue graft from the hard palate. A clinical study

Anatomic factors influencing dimensions of soft tissue graft from the hard palate. A clinical study

In vivo accuracy of dental magnetic resonance imaging in assessing maxillary molar furcation involvement: A feasibility study in humans

Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning

Contact Info

Product

Resources

About