Dento maxillo facial radiology最新文献

{"title":"Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.","authors":"Kaan Orhan, Alex Sanders, Gürkan Ünsal, Matvey Ezhov, Melis Mısırlı, Maxim Gusarev, Murat İçen, Mamat Shamshiev, Gaye Keser, Filiz Namdar Pekiner, Maria Golitsyna, Merve Önder, David Manulis, Cemal Atakan","doi":"10.1259/dmfr.20230141","DOIUrl":"10.1259/dmfr.20230141","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to evaluate the reliability of AI-generated STL files in diagnosing osseous changes of the mandibular condyle and compare them to a ground truth (GT) diagnosis made by six radiologists.</p><p><strong>Methods: </strong>A total of 432 retrospective CBCT images from four universities were evaluated by six dentomaxillofacial radiologists who identified osseous changes such as flattening, erosion, osteophyte formation, bifid condyle formation, and osteosclerosis. All images were evaluated by each radiologist blindly and recorded on a spreadsheet. All evaluations were compared and for the disagreements, a consensus meeting was held online to create a uniform GT diagnosis spreadsheet. A web-based dental AI software was used to generate STL files of the CBCT images, which were then evaluated by two dentomaxillofacial radiologists. The new observer, GT, was compared to this new STL file evaluation, and the interclass correlation (ICC) value was calculated for each pathology.</p><p><strong>Results: </strong>Out of the 864 condyles assessed, the ground truth diagnosis identified 372 cases of flattening, 185 cases of erosion, 70 cases of osteophyte formation, 117 cases of osteosclerosis, and 15 cases of bifid condyle formation. The ICC values for flattening, erosion, osteophyte formation, osteosclerosis, and bifid condyle formation were 1.000, 0.782, 1.000, 0.000, and 1.000, respectively, when comparing diagnoses made using STL files with the ground truth.</p><p><strong>Conclusions: </strong>AI-generated STL files are reliable in diagnosing bifid condyle formation, osteophyte formation, and flattening of the condyle. However, the diagnosis of osteosclerosis using AI-generated STL files is not reliable, and the accuracy of diagnosis is affected by the erosion grade.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10517359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an <i>in vitro</i> ultrasonographic pilot study.","authors":"Leonardo Mancini, Anahat Khehra, Tu Nguyen, Shayan Barootchi, Lorenzo Tavelli","doi":"10.1259/dmfr.20230033","DOIUrl":"10.1259/dmfr.20230033","url":null,"abstract":"<p><strong>Objective: </strong>To characterize different allogeneic and xenogeneic soft tissue graft substitutes and to assess their echo intensity and grayscale texture-related outcomes by using high-frequency ultrasonography (HFUS).</p><p><strong>Methods: </strong>Ten samples from each of the following biomaterials were scanned using HFUS: bilayered collagen matrix (CM), cross-linked collagen matrix (CCM), multilayered cross-linked collagen matrix (MCCM), human-derived acellular dermal matrix (HADM), porcine-derived acellular dermal matrix (PADM), collagen tape dressing (C) and dental implants (IMPs). The obtained images were then imported in a commercially available software for grayscale analysis. First-order grayscale outcomes included mean echo intensity (EI), standard deviation, skewness, and kurtosis, while second-order grayscale outcomes comprised entropy, contrast, correlation, energy and homogeneity derive from the gray-level co-occurrence matrix analysis. Descriptive statistics were performed for visualization of results, and one-way analysis of variance with Bonferroni post-hoc tests were performed to relative assessments of the biomaterials.</p><p><strong>Results: </strong>The statistical analysis revealed a statistically significant difference among the groups for EI (<i>p</i> < .001), with the group C showing the lowest EI, and the IMP group presenting with the greatest EI values. All groups showed significantly higher EI when compared with C (<i>p</i> < .001). No significant differences were observed for energy, and correlation, while a statistically significant difference among the groups was found in terms of entropy (<i>p</i> < 0.01), contrast (<i>p</i> < .001) and homogeneity (<i>p</i> < .001). IMP exhibited the highest contrast, that was significantly higher than C, HADM, PADM, CCM and CM.</p><p><strong>Conclusions: </strong>HFUS grayscale analysis can be applied to characterize the structure of different biomaterials and holds potential for translation to <i>in-vivo</i> assessment following soft tissue grafting-related procedures.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9767072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differentiation between pleomorphic adenoma and schwannoma in the parapharyngeal space: histogram analysis of apparent diffusion coefficient.","authors":"Natsuko Kunimatsu, Akira Kunimatsu, Koki Miura, Ichiro Mori, Shigeru Kiryu","doi":"10.1259/dmfr.20230140","DOIUrl":"10.1259/dmfr.20230140","url":null,"abstract":"<p><strong>Objectives: </strong>To elucidate the differences between pleomorphic adenomas and schwannomas occurring in the parapharyngeal space by histogram analyses of apparent diffusion coefficient (ADC) values measured with diffusion-weighted MRI.</p><p><strong>Methods: </strong>This retrospective study included 29 patients with pleomorphic adenoma and 22 patients with schwannoma arising in the parapharyngeal space or extending into the parapharyngeal space from the parotid region. Using pre-operative MR images, ADC values of tumor lesions showing the maximum diameter were measured. The regions of interest for ADC measurement were placed by contouring the tumor margin, and the histogram metrics of ADC values were compared between pleomorphic adenomas and schwannomas regarding the mean, skewness, and kurtosis by Wilcoxon's rank sum test. Subsequent to the primary analysis which included all lesions, we performed two subgroup analyses regarding b-values and magnetic field strength used for MRI.</p><p><strong>Results: </strong>The mean ADC values did not show significant differences between pleomorphic adenomas and schwannomas for the primary and subgroup analyses. Schwannomas showed higher skewness (<i>p</i> = 0.0001) and lower kurtosis (<i>p</i> = 0.003) of ADC histograms compared with pleomorphic adenomas in the primary analysis. Skewness was significantly higher in schwannomas in all the subgroup analyses. Kurtosis was consistently lower in schwannomas but did not reach statistical significance in one subgroup analysis.</p><p><strong>Conclusions: </strong>Skewness and kurtosis showed significant differences between pleomorphic adenomas and schwannomas occupying the parapharyngeal space, but the mean ADC values did not. Our results suggest that the skewness and kurtosis of ADC histograms may be useful in differentiating these two parapharyngeal tumors.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10144527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the shape of the field-of-view influence the magnitude of artefacts from high-density materials in cone-beam computed tomography?","authors":"Deivi Cascante-Sequeira, Rocharles Cavalcante Fontenele, Luciano Augusto Cano Martins, Danieli Moura Brasil, Matheus L Oliveira, Deborah Queiroz Freitas, Francisco Haiter-Neto","doi":"10.1259/dmfr.20230147","DOIUrl":"10.1259/dmfr.20230147","url":null,"abstract":"<p><strong>Objective: </strong>To compare cylindrical and convex triangular field-of-views (FOVs) concerning the magnitude of artefacts from high-density materials in cone-beam CT (CBCT).</p><p><strong>Methods and materials: </strong>Cylinders of amalgam, chromium-cobalt, titanium, and zirconia were individually placed in the anterior and posterior regions of a polymethylmethacrylate phantom and scanned using cylindrical and convex triangular FOVs of the Veraview X800 CBCT device. Using the Image J software, 15 square regions of interest (ROIs) were placed in the axial reconstruction around the middle level of the cylinder and at distances of 0.5, 1.0, and 1.5 cm from the centre of the cylinder. Mean grey value and standard deviation of each ROI were averaged for each distance and subtracted from the values of a control ROI to calculate the magnitude of the artefacts by the grey value mean difference (GVMD) and grey value standard deviation (GVSD). Multiway analysis of variance with Tukey <i>post-hoc</i> test with a significance level of 5% evaluated the effect of the shape of the FOV, position inside the FOV, high-density material, and the distance of the artefact from the material.</p><p><strong>Results: </strong>The convex triangular FOV increased the GVSD for all materials in the anterior and posterior regions at 0.5 cm compared to the cylindrical FOV (<i>p</i> < 0.0001). The convex triangular FOV showed greater GVMD for chromium-cobalt and zirconium in the anterior region and all materials in the posterior region at all distances (<i>p</i> < 0.0001).</p><p><strong>Conclusion: </strong>The FOV shape influences the magnitude of artefacts from high-density materials. The convex triangular FOV showed greater artefact magnitude with variability among the high-density materials, region in the FOV, and distance from the material.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552126/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10516259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model.","authors":"Ji-Youn Kim, Se Hoon Kahm, Seok Yoo, Soo-Mi Bae, Ji-Eun Kang, Sang Hwa Lee","doi":"10.1259/dmfr.20230030","DOIUrl":"10.1259/dmfr.20230030","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of the study was to evaluate the efficacy of traditional supervised learning (SL) and semi-supervised learning (SSL) in the classification of mandibular third molars (Mn3s) on panoramic images. The simplicity of preprocessing step and the outcome of the performance of SL and SSL were analyzed.</p><p><strong>Methods: </strong>Total 1625 Mn3s cropped images from 1000 panoramic images were labeled for classifications of the depth of impaction (D class), spatial relation with adjacent second molar (S class), and relationship with inferior alveolar nerve canal (N class). For the SL model, WideResNet (WRN) was applicated and for the SSL model, LaplaceNet (LN) was utilized.</p><p><strong>Results: </strong>In the WRN model, 300 labeled images for D and S classes, and 360 labeled images for N class were used for training and validation. In the LN model, only 40 labeled images for D, S, and N classes were used for learning. The F1 score were 0.87, 0.87, and 0.83 in WRN model, 0.84, 0.94, and 0.80 for D class, S class, and N class in the LN model, respectively.</p><p><strong>Conclusions: </strong>These results confirmed that the LN model applied as SSL, even utilizing a small number of labeled images, demonstrated the satisfactory of the prediction accuracy similar to that of the WRN model as SL.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461259/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10099192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of metal artifact reduction algorithm for CBCT diagnosis of temporary anchorage device-tooth root contact: inadequate to reduce false-positive rate.","authors":"Victoria McLaughlin, Jie Liu, Sonya Kalim, Kristin Nguyen, Do-Gyoon Kim, Zongyang Sun","doi":"10.1259/dmfr.20220396","DOIUrl":"10.1259/dmfr.20220396","url":null,"abstract":"<p><strong>Objectives: </strong>It was recently found that when cone beam computed tomography (CBCT) was used to examine temporary anchorage device (TAD)-tooth root contact, it tends to yield high false-positive (FP) diagnoses. This study investigated whether application of a metal artifact reduction (MAR) algorithm or reducing CBCT scan voxel-size can remediate this problem.</p><p><strong>Methods: </strong>18 fresh pig cadaver mandibles underwent TAD placement bilaterally at first molar lingual furcation regions. CBCT scans were taken under varied MAR (absence, presence) and voxel-size (400 µm, 200 µm) settings. Then, TADs were removed and a micro-CT scan (27 µm voxel-size) of the TAD placement site was performed. Three raters, blinded of CBCT scan setting, independently diagnosed whether TADs were in contact with roots. The reliability and accuracy of CBCT diagnoses using micro-CT as the gold-standard were statistically examined.</p><p><strong>Results: </strong>Generally, CBCT diagnoses had intrarater (Cohen's κ: 0.54-1) and interrater (Fleiss' κ: 0.73-0.81) reliability, within the moderate to excellent range, which did not vary with MAR setting or scan voxel-size. For diagnostic accuracy, FP rate among all raters was mostly in the 15-25% range and did not change with MAR or scan voxel-size settings (McNemar tests, <i>p</i> > 0.05) while false-negative rate was relatively minimal and only occurred to one rater (9%).</p><p><strong>Conclusions: </strong>When using CBCT to diagnose possible TAD-root contact, applying a currently available Planmeca MAR algorithm or reducing CBCT scan voxel-size from 400 µm to 200 µm may not decrease FP rate. Further optimization of the MAR algorithm for this purpose may be needed.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461258/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10098785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated detection of cephalometric landmarks using deep neural patchworks.","authors":"Julia Vera Weingart, Stefan Schlager, Marc Christian Metzger, Leonard Simon Brandenburg, Anna Hein, Rainer Schmelzeisen, Fabian Bamberg, Suam Kim, Elias Kellner, Marco Reisert, Maximilian Frederik Russe","doi":"10.1259/dmfr.20230059","DOIUrl":"10.1259/dmfr.20230059","url":null,"abstract":"<p><strong>Objectives: </strong>This study evaluated the accuracy of deep neural patchworks (DNPs), a deep learning-based segmentation framework, for automated identification of 60 cephalometric landmarks (bone-, soft tissue- and tooth-landmarks) on CT scans. The aim was to determine whether DNP could be used for routine three-dimensional cephalometric analysis in diagnostics and treatment planning in orthognathic surgery and orthodontics.</p><p><strong>Methods: </strong>Full skull CT scans of 30 adult patients (18 female, 12 male, mean age 35.6 years) were randomly divided into a training and test data set (each <i>n</i> = 15). Clinician A annotated 60 landmarks in all 30 CT scans. Clinician B annotated 60 landmarks in the test data set only. The DNP was trained using spherical segmentations of the adjacent tissue for each landmark. Automated landmark predictions in the separate test data set were created by calculating the center of mass of the predictions. The accuracy of the method was evaluated by comparing these annotations to the manual annotations.</p><p><strong>Results: </strong>The DNP was successfully trained to identify all 60 landmarks. The mean error of our method was 1.94 mm (SD 1.45 mm) compared to a mean error of 1.32 mm (SD 1.08 mm) for manual annotations. The minimum error was found for landmarks ANS 1.11 mm, SN 1.2 mm, and CP_R 1.25 mm.</p><p><strong>Conclusion: </strong>The DNP-algorithm was able to accurately identify cephalometric landmarks with mean errors <2 mm. This method could improve the workflow of cephalometric analysis in orthodontics and orthognathic surgery. Low training requirements while still accomplishing high precision make this method particularly promising for clinical use.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461263/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10098784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma.","authors":"Meng Qi, Zhipeng Xia, Fang Zhang, Yan Sha, Jiliang Ren","doi":"10.1259/dmfr.20220301","DOIUrl":"10.1259/dmfr.20220301","url":null,"abstract":"<p><strong>Objectives: </strong>To develop and validate a nomogram based on whole-tumour histograms of apparent diffusion coefficient (ADC) maps for predicting malignant transformation (MT) in sinonasal inverted papilloma (IP).</p><p><strong>Methods: </strong>This retrospective study included 209 sinonasal IPs with and without MT, which were assigned into a primary cohort (<i>n</i> = 140) and a validation cohort (<i>n</i> = 69). Eight ADC histogram features were extracted from the whole-tumour region of interest. Morphological MRI features and ADC histogram parameters were compared between the two groups (with and without MT). Stepwise logistic regression was used to identify independent predictors and to construct models. The predictive performances of variables and models were assessed using the area under the curve (AUC). The optimal model was presented as a nomogram, and its calibration was assessed.</p><p><strong>Results: </strong>Four morphological features and seven ADC histogram parameters showed significant differences between the two groups in both cohorts (all <i>p</i> < 0.05). Maximum diameter, loss of convoluted cerebriform pattern, ADC_10th and ADC_Skewness were identified as independent predictors to construct the nomogram. The nomogram showed significantly better performance than the morphological model in both the primary (AUC, 0.96 <i>vs</i> 0.88; <i>p</i> = 0.006) and validation (AUC, 0.96 <i>vs</i> 0.88; <i>p</i> = 0.015) cohorts. The nomogram showed good calibration in both cohorts. Decision curve analysis demonstrated that the nomogram is clinically useful.</p><p><strong>Conclusions: </strong>The developed nomogram, which incorporates morphological MRI features and ADC histogram parameters, can be conveniently used to facilitate the pre-operative prediction of MT in IPs.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461262/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10152255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human examination and artificial intelligence in cephalometric landmark detection-is AI ready to take over?","authors":"Suvarna Indermun, Shoayeb Shaik, Clement Nyirenda, Keith Johannes, Riaan Mulder","doi":"10.1259/dmfr.20220362","DOIUrl":"10.1259/dmfr.20220362","url":null,"abstract":"<p><strong>Objectives: </strong>To compare the precision of two cephalometric landmark identification methods, namely a computer-assisted human examination software and an artificial intelligence program, based on South African data.</p><p><strong>Methods: </strong>This retrospective quantitative cross-sectional analytical study utilized a data set consisting of 409 cephalograms obtained from a South African population. 19 landmarks were identified in each of the 409 cephalograms by the primary researcher using the two programs [(409 cephalograms x 19 landmarks) x 2 methods = 15,542 landmarks)]. Each landmark generated two coordinate values (<i>x, y</i>), making a total of 31,084 landmarks. Euclidean distances between corresponding pairs of observations was calculated. Precision was determined by using the standard deviation and standard error of the mean.</p><p><strong>Results: </strong>The primary researcher acted as the gold-standard and was calibrated prior to data collection. The inter- and intrareliability tests yielded acceptable results. Variations were present in several landmarks between the two approaches; however, they were statistically insignificant. The computer-assisted examination software was very sensitive to several variables. Several incidental findings were also discovered. Attempts were made to draw valid comparisons and conclusions.</p><p><strong>Conclusions: </strong>There was no significant difference between the two programs regarding the precision of landmark detection. The present study provides a basis to: (1) support the use of automatic landmark detection to be within the range of computer-assisted examination software and (2) determine the learning data required to develop AI systems within an African context.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461256/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10098782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of CBCT-head tilting on 3D condylar segmentation reproducibility.","authors":"Samy El Bachaoui, Pieter-Jan Verhelst, Karla de Faria Vasconcelos, Eman Shaheen, Wim Coucke, Gwen Swennen, Reinhilde Jacobs, Constantinus Politis","doi":"10.1259/dmfr.20230072","DOIUrl":"10.1259/dmfr.20230072","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate whether variations in head positioning may influence the reproducibility of cone-beam CT (CBCT) three-dimensional (3D) segmented models of the mandibular condyle.</p><p><strong>Methods: </strong>Five fresh frozen cadaver heads were scanned in four different positions: reference position (RP) and a set of three tilted alternative head positions (AP) in anteroposterior direction (AP1: 2 cm anterior translation, AP2: 5° pitch rotation, AP3: 10° pitch rotation). Surface models of mandibular condyles were constructed and compared with the condylar reference position using voxel-based registration. Descriptive statistics and a linear mixed-effects model were performed to compare condylar volumetric differences and root mean square (RMS) distance between surfaces of AP <i>vs</i> RP.</p><p><strong>Results: </strong>The mean differences in condylar volumes of AP <i>vs</i> RP were 14.1 mm³ (95% CI [-79.3, 107.4]) for AP1, 1.0 mm³ (95% CI [-87.2, 89.2]) for AP2 and 0.1 mm³ (95% CI [-88.3, 88.4]) for AP3. Mean and absolute volumetric differences did not exceed earlier reported intraoperator differences of 30 mm³. The RMS distance values obtained per group were 0.12 mm (95% CI [0.05,0.20]) for AP1, 0.17 mm (95% CI [0.10, 0.22]) for AP2 and 0.17 mm for AP3 (95% CI [0.10,0.22]). The confidence intervals (CI) for RMS distance remained far below the threshold for clinical acceptability (0.5 mm).</p><p><strong>Conclusions: </strong>Within the limits of the present study, it is suggested that tilted head positions may affect the reproducibility of 3D condylar segmentation, thereby influencing outcome in repeated CBCT scanning. Nevertheless, observed differences are unlikely to have a meaningful impact on clinical patient diagnosis and management.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10103146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}