A new method of volumetric assessment of alveolar bone grafting for cleft patients using cone beam computed tomography

2017 ◽  
Vol 124 (2) ◽  
pp. e171-e182 ◽  
Author(s):  
Bin Feng ◽  
Meng Jiang ◽  
Xue Xu ◽  
Jingtao Li
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Grafting ◽  
Alveolar Bone ◽  
New Method ◽  
Cone Beam ◽  
Volumetric Assessment ◽  
Alveolar Bone Grafting

scholarly journals The effectiveness of mineralized plasmatic matrix in the closure of alveolar clefts with volumetric assessment

2021 ◽  
Vol 9 ◽  
pp. 1
Author(s):  
Padminii Ellapakurthi ◽  
Gotike Siva Prasad Reddy
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cleft Lip ◽  
Alveolar Bone ◽  
Platelet Rich Plasma ◽  
Cone Beam ◽  
Average Percentage ◽  
Alveolar Cleft ◽  
Volumetric Assessment ◽  
Alveolar Bone Grafting

Objectives: The purpose of this study is to assess the effectiveness of mineralized plasmatic matrix in the soft tissue closure of naso-alveolar fistula, to estimate the postoperative bone fill and volume of the graft placed in the alveolar cleft defect using cone-beam computed tomography (CBCT) at 3rd- month and 6th- month. Material and methods: 10 patients, in the age group of 15‑30 years were included in this study. They were diagnosed with unilateral cleft lip and alveolus defects with or without a cleft palate requiring late secondary alveolar bone grafting. Alveolar cleft defects were closed with mineralized plasmatic matrix (MPM), a combination of autogenous iliac bone graft and platelet rich plasma (PRP) and platelet rich fibrin (PRF). Results: The mean defect volume pre-operatively is 0.75 cm3 and at the end of 3rd-month postoperatively is 0.51 cm3 and at 6th-month postoperatively is 0.27 cm3. The average percentage of bone fill between preoperative (A) & 3th- month postoperatively (B) is 33.4% and between 3rd-month (B) and 6th-month post operatively (C) is 49.5%. Conclusions: Utilization of this new matrix (MPM), has shown to be effective in the closure of the cleft defect, oro-nasal fistula and also reduction in the volume of the residual cleft defect seen with sequential cone-beam computed tomography (CBCT) radiographs.

scholarly journals A novel method for alveolar bone grafting assessment in cleft lip and palate patients: cone-beam computed tomography evaluation

2020 ◽  
Author(s):  
Marcin Stasiak ◽  
Anna Wojtaszek-Słomińska ◽  
Bogna Racka-Pilszak
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Grafting ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Alveolar Bone ◽  
Bone Architecture ◽  
Cone Beam ◽  
Bone Morphology ◽  
Alveolar Bone Grafting

Abstract Objectives This retrospective cross-sectional study aimed to present a new method for secondary alveolar bone grafting (SABG) assessment and to qualitatively evaluate the SABG results in unilateral cleft lip and palate patients. Materials and methods Research was conducted according to the STROBE guidelines. The study group consisted of 21 patients with a mean age of 16 years. High-resolution cone-beam computed tomography (CBCT) was performed at least 1 year after grafting. The experimental side was the cleft side, and the contralateral side without a congenital cleft was the control. Measurements were performed at four levels of the maxillary central incisors’ roots according to the new scale with scores from 0 to 3. The sum of the scores provided a general assessment of bone architecture. The Wilcoxon signed-rank test was used for intergroup comparisons, and a Kappa coefficient was used for reproducibility measurements. Results High individual variability was found, and the bone architecture was significantly worse on the cleft side than on the noncleft side. The results showed 28.57% failure, 33.33% poor, 19.05% moderate, and 19.05% good results from the surgical procedure. Kappa coefficients produced results from 0.92 to 1.00 for intra-rater and from 0.81 to 1.00 for inter-rater reproducibility. Conclusions CBCT provides detailed information about alveolar bone morphology. The new assessment method is useful at every treatment stage and provides excellent repeatability. SABG did not provide good bone morphology, in most cases. Clinical relevance This research presents a new universal alternative for the assessment of SABG by utilizing CBCT.

Volumetric Assessment of Secondary Alveolar Bone Grafting Using Cone Beam Computed Tomography

2009 ◽  
Vol 46 (5) ◽  
pp. 503-511 ◽  
Author(s):  
Snehlata Oberoi ◽  
Radhika Chigurupati ◽  
Pawandeep Gill ◽  
William Y. Hoffman ◽  
Karin Vargervik
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Grafting ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Alveolar Bone ◽  
Cone Beam ◽  
Alveolar Bone Grafting ◽  
Bilateral Cleft Lip ◽  
Secondary Alveolar Bone Grafting

Objective: To assess the radiographic outcome of secondary alveolar bone grafting in individuals with nonsyndromic unilateral or bilateral cleft lip and palate using cone beam computed tomography. Methods: This prospective study was conducted at the University of California at San Francisco Center for Craniofacial Anomalies on 21 consecutive nonsyndromic complete cleft lip and palate individuals between 8 and 12 years of age who required alveolar bone grafting. Seventeen unilateral and four bilateral cleft lip and palate individuals had preoperative and postoperative cone beam computed tomography scans that were analyzed using Amira 3.1.1 software. Results: The average volume of the preoperative alveolar cleft defect in unilateral cleft lip and palate was 0.61 cm3, and the combined average volume of the right and left alveolar cleft defects in bilateral cleft lip and palate was 0.82 cm3. The average percentage bone fill in both unilateral cleft lip and palate and bilateral cleft lip and palate was 84%. The outcome of alveolar bone grafting was assessed in relation to (1) type of cleft, (2) size of preoperative cleft defect, (3) presence or absence of lateral incisor, (4) root development stage of the maxillary canine on the cleft side, (5) timing, and (6) surgeon. None of these parameters significantly influenced the radiographic outcome of alveolar bone grafting. Conclusions: Secondary alveolar bone grafting of the cleft defect in our center was successful, based on radiographic outcome using cone beam computed tomography scans. Volume rendering using cone beam computed tomography and Amira software is a reproducible and practical method to assess the preoperative alveolar cleft volume and the adequacy of bone fill postoperatively.

scholarly journals Alveolar bone heights of maxillary central incisors in unilateral cleft lip and palate patients using cone-beam computed tomography evaluation

2021 ◽  
Author(s):  
Marcin Stasiak ◽  
Anna Wojtaszek-Słomińska ◽  
Bogna Racka-Pilszak
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Alveolar Bone ◽  
Contralateral Side ◽  
Cone Beam ◽  
Rank Test ◽  
Cross Sectional ◽  
Alveolar Bone Grafting

Abstract Purpose The aims of this retrospective cross-sectional study were to measure and compare labial and palatal alveolar bone heights of maxillary central incisors in unilateral cleft lip and palate patients, following STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines. Patients and methods The study group consisted of 21 patients with a mean age of 16 years. High-resolution cone-beam computed tomography was performed at least one year after secondary alveolar bone grafting. The experimental side was the cleft side and the contralateral side without congenital cleft was the control. Measurements were performed on incisors’ midsagittal cross-sections. The Wilcoxon signed-rank test was used for intergroup comparisons. Results The labial and palatal distances between alveolar bone crests and cementoenamel junctions were significantly greater on the cleft side than on the noncleft side. Mean differences were 0.75 and 1.41 mm, respectively. The prevalence of dehiscences at the cleft side maxillary central incisors was 52% on the labial surface and 43% on the palatal surface. In the controls, it was 19% and 14%, respectively. Conclusion The cleft-adjacent maxillary central incisors had more apically displaced alveolar bone crests on the labial and palatal sides of the roots than the controls. Higher prevalence of dehiscences was found on the cleft side. Bone margin differences predispose to gingival height differences of the central incisors. These differences could increase the demands of patients to obtain more esthetic treatment results with orthodontic extrusion and periodontal intervention on the cleft side.

Application of Limited Cone Beam Computed Tomography to Clinical Assessment of Alveolar Bone Grafting: A Preliminary Report

2005 ◽  
Vol 42 (2) ◽  
pp. 128-137 ◽  
Author(s):  
Yoshiki Hamada ◽  
Toshirou Kondoh ◽  
Kazuhide Noguchi ◽  
Mitsuyoshi Iino ◽  
Hiroaki Isono ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Clinical Assessment ◽  
Bone Grafting ◽  
Alveolar Bone ◽  
Imaging System ◽  
Cone Beam ◽  
3D Ct ◽  
Bone Bridge ◽  
Alveolar Bone Grafting ◽  
3D Ct Imaging

Objectives The aim of this study was to demonstrate the clinical applicability of limited cone beam computed tomography (Dental 3D-CT) for assessment of bone-grafted alveolar cleft. Patients and Methods Seventeen bone bridges were examined after alveolar bone grafting in 13 patients with cleft lip and palate. All bone bridges, including cleft-adjacent teeth, were examined by plain radiography and the Dental 3D-CT imaging system. Results The plain radiographs showed the approximate condition of the bone bridge and cleft-adjacent teeth. The Dental 3D-CT images clearly showed precise three-dimensional (3D) morphology of the bone bridge, 3D relationships between the bone bridge and the roots of cleft-adjacent teeth, and their periodontal condition. In addition, the conditions surrounding dental implants installed in the bone bridge could be observed three-dimensionally. Conclusions The results indicate that the Dental 3D-CT imaging system is suitable for clinical assessment of alveolar bone grafting before and after installation of dental implants or orthodontic treatment of the cleft-adjacent teeth.

Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN

2020 ◽  
Vol 28 (5) ◽  
pp. 905-922
Author(s):  
Qingqing Li ◽  
Ke Chen ◽  
Lin Han ◽  
Yan Zhuang ◽  
Jingtao Li ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Cone Beam Computed Tomography ◽  
Alveolar Bone ◽  
Automatic Segmentation ◽  
New Method ◽  
Cone Beam ◽  
Dice Similarity Coefficient ◽  
Tooth Root ◽  
Tooth Roots

BACKGROUND: Automatic segmentation of individual tooth root is a key technology for the reconstruction of the three-dimensional dental model from Cone Beam Computed Tomography (CBCT) images, which is of great significance for the orthodontic, implant and other dental diagnosis and treatment planning. OBJECTIVES: Currently, tooth root segmentation is mainly done manually because of the similar gray of the tooth root and the alveolar bone from CBCT images. This study aims to explore the automatic tooth root segmentation algorithm of CBCT axial image sequence based on deep learning. METHODS: We proposed a new automatic tooth root segmentation method based on the deep learning U-net with AGs. Since CBCT sequence has a strong correlation between adjacent slices, a Recurrent neural network (RNN) was applied to extract the intra-slice and inter-slice contexts. To develop and test this new method for automatic segmentation of tooth roots using CBCT images, 24 sets of CBCT sequences containing 1160 images and 5 sets of CBCT sequences containing 361 images were used to train and test the network, respectively. RESULTS: Applying to the testing dataset, the segmentation accuracy measured by the intersection over union (IOU), dice similarity coefficient (DICE), average precision rate (APR), average recall rate (ARR), and average symmetrical surface distance (ASSD) are 0.914, 0.955, 95.8% , 95.3% , 0.145 mm, respectively. CONCLUSIONS: The study demonstrates that the new method combining attention U-net with RNN yields the promising results of automatic tooth roots segmentation, which has potential to help improve the segmentation efficiency and accuracy in future clinical practice.

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