Oral Radiology最新文献

Objective: To investigate whether the curve markings performed prior to panoramic and cross-sectional reconstructions can influence the planning of oral implants.

Methods: Twenty oral radiologists landmarked the reference panoramic curves in 25 CBCT scans of the mandible. Bone height was measured on the resulting cross-sectional slices in the edentulous region of the lower first molar. The following data were recorded: (1) number of landmarks used to build each reference curve; (2) shape of the reference curve (inverted "U", inverted "V" or "horseshoe"); and (3) measurement in the first molar region. The data were assessed for variability based on the number of landmarks, the shape of the reference curve, and the measurements obtained.

Results: The number of landmarks used to guide the panoramic reconstruction varied among radiologists (p < 0.05), but most of them draw curves in inverted "U" shape (68-100%). The reproducibility of the measurements taken in the edentulous mandibular first molar region was excellent (84.7%). The number of landmarks and the shape of the curve did not have a significant influence on the reproducibility of the measurements (p > 0.05).

Conclusion: Variations of the operator-dependent steps during the panoramic reconstructions occur but do not play a significant part changing the measurements taken for oral implant planning.

Objective: This retrospective study aimed to analyze the anatomical structure of the mandibular buccal shelf (MBS) in adolescents and adults with different vertical patterns to determine the optimal location for miniscrew insertion in orthodontic treatment.

Methods: Cone-beam computed tomography (CBCT) scans of 230 patients were utilized for measurements. The morphology and thickness of alveolar bone at the MBS were measured. Two-way ANOVA and regression analysis were conducted to analyze the influencing factors on alveolar bone and cortical bone thickness.

Results: Age had a significant effect on alveolar bone thickness (level I: F = 62.449, level II: F = 18.86, p < 0.001), cortical bone thickness (level II: F = 18.86, p < 0.001), alveolar bone tilt (F = 6.267, p = 0.013), and second molar tilt (F = 6.693, p = 0.01). Different vertical patterns also influenced alveolar bone thickness (level I: F = 20.950, level II: F = 28.470, p < 0.001), cortical bone thickness (level I: F = 23.911, level II: F = 23.370, p < 0.001), and alveolar bone tilt (F = 27.046, p < 0.001). As age increased, the alveolar bone thickness at level I decreased by 0.096 mm and at level II decreased by 0.073 mm. Conversely, the thickness of alveolar bone at level I and level II increased by 0.06 mm and 0.075 mm, respectively. The cortical bone thickness at level I and level II increased by 0.024 mm and 0.29 mm, respectively. However, the alveolar bone thickness decreased by 0.931 mm and 1.545 mm at level I and level II, and the cortical bone thickness decreased by 0.542 mm and 0.640 mm at level I and level II, respectively.

Conclusion: Age, different vertical patterns, alveolar bone inclination, and different shapes of MBS significantly affected the thickness of alveolar bone and cortical bone in the MBS area. Notably, only alveolar bone thickness and cortical bone thickness at level II were affected by age and different vertical patterns simultaneously. These findings can provide valuable insights for orthodontic practitioners in selecting the most suitable location for miniscrew insertion during treatment planning.

Purpose: This study aims to review deep learning applications for detecting head and neck cancer (HNC) using magnetic resonance imaging (MRI) and radiographic data.

Methods: Through January 2023, a PubMed, Scopus, Embase, Google Scholar, IEEE, and arXiv search were carried out. The inclusion criteria were implementing head and neck medical images (computed tomography (CT), positron emission tomography (PET), MRI, Planar scans, and panoramic X-ray) of human subjects with segmentation, object detection, and classification deep learning models for head and neck cancers. The risk of bias was rated with the quality assessment of diagnostic accuracy studies (QUADAS-2) tool. For the meta-analysis diagnostic odds ratio (DOR) was calculated. Deeks' funnel plot was used to assess publication bias. MIDAS and Metandi packages were used to analyze diagnostic test accuracy in STATA.

Results: From 1967 studies, 32 were found eligible after the search and screening procedures. According to the QUADAS-2 tool, 7 included studies had a low risk of bias for all domains. According to the results of all included studies, the accuracy varied from 82.6 to 100%. Additionally, specificity ranged from 66.6 to 90.1%, sensitivity from 74 to 99.68%. Fourteen studies that provided sufficient data were included for meta-analysis. The pooled sensitivity was 90% (95% CI 0.820.94), and the pooled specificity was 92% (CI 95% 0.87-0.96). The DORs were 103 (27-251). Publication bias was not detected based on the p-value of 0.75 in the meta-analysis.

Conclusion: With a head and neck screening deep learning model, detectable screening processes can be enhanced with high specificity and sensitivity.

Objectives: The use of dental cone-beam CT (CBCT) has increased in recent years. We aimed to calculate the organ and effective doses in dental CBCT using Monte Carlo simulation (MCS) and to correlate the effective dose with the dose-length product (DLP), which is a radiation dose index.

Methods: Organ and effective doses were calculated by MCS using the adult male and female reference phantoms of the International Commission on Radiological Protection publication 110 in a half-rotation scan of the CBCT scanner Veraviewepocs 3Df. The simulations were performed by setting nine protocols in combination with the field-of-view (FOV) and imaging region. In addition, DLPs were calculated by MCS using the virtual CT Dose Index (CTDI) and CBCT phantoms, with the same protocol.

Results: The effective doses were 55 and 195 μSv at the minimum FOV of Φ40 × H40 mm and maximum FOV of Φ 80 × H80 mm, respectively. The organs with the major contribution to the effective dose were the red bone marrow (11.0‒12.8%), thyroid gland (4.0‒12.7%), salivary gland (21.8‒33.2%), and remaining tissues (35.1‒45.7%). Positive correlations were obtained between the effective dose and calculated DLP using the CTDI and CBCT phantoms.

Conclusions: Organ and effective doses for each protocol of dental CBCT could be estimated using MCS. There was a positive correlation between the effective dose and DLP, suggesting that DLP can be used to estimate the effective dose of CBCT.

Objectives: To analyze various anatomical aspects of the maxillary sinuses on CBCT volumes, mainly, the posterior superior alveolar artery (PSAA), and to compare its visibility on CBCT vs. panoramic radiographs.

Material and methods: A retrospective radiographic analysis was conducted on 120 patients (240 maxillary sinuses) using their CBCT coronal views (CCV) and panoramic radiographs (CP). On CCV, the PSAA's maximum dimension (MD), vertical distance (PVD) to the alveolar crest, and bone plate thickness (T1 and T2) buccally and inferiorly to the PSAA, respectively, were analyzed. Additionally, on CCV, the ostium vertical distance (OVD) and location were recorded, and the height of the remaining bone height inferior to the maxillary sinuses (MVD) was also measured. The PSAA's visibility was evaluated and compared between CCV and CP. All these variables were studied at the apical region of the second maxillary premolar (P2), first molar (M1), and second molar (M2). Age, gender, and face side (right vs. left) factors affecting the sinus dimensions and visibility were investigated. Several statistical tests were used to analyze these variables.

Results: PSAA was detected in 96.53% of the records on CCV, where it was significantly superior to CP in the detection of the PSAA structure (p value 0.000) at all sites analyzed. The PSAA's MD, PVD, T1 and T2 thicknesses, and MVD were on average 1.19 mm, 19.54 mm, 0.69 mm, 1.36 mm, and 10.25, respectively. OVD average was 31.04 mm where 42.9% of the ostia were within the mesiodistal extent of the second upper molar. No significant relation was found between different age groups, gender, and the visibility level of PSAA.

Conclusion: Age, gender, and the side of the face investigated showed no discernible effects on the maxillary sinus's bone thickness, vertical dimensions, or PSAA diameter among the studied Palestinian sample. As CCV was superior to CP in the identification of PSSA, preoperative evaluation of PSSA using CBCT volumes is thus recommended.

Objectives

This study investigated the imaging features of head and neck chondrosarcoma (HNCS) according to its origin and pathologic subtype.

Methods

Patients who were pathologically diagnosed with HNCS between January 2000 and April 2022 were retrospectively reviewed. Lesions were classified based on their origin and pathologic subtype. The size and margin were evaluated on the image. Internal calcification and the effects on adjacent bone were assessed using computed tomography (CT) images, while signal intensity and contrast enhancement patterns were analyzed using magnetic resonance (MR) imaging.

Results

Thirteen HNCSs were included in this study: 8 bone tumors (61.5%) and 5 soft tissue tumors (38.5%). The bone tumors were pathologically diagnosed as conventional (n = 5) and mesenchymal type (n = 3). Soft tissue tumors were defined as myxoid type. The main symptoms were swelling (90.9%) and pain (72.7%). The lesions measured 4.5 cm on average. The margins showed benign and well-defined except for the mesenchymal type. On CT, most bone tumors (75%) showed internal calcification with remodeling or destruction of the adjacent bone. No soft tissue tumors, except one case, showed internal calcification or destruction of the adjacent bone. MR imaging features were non-specific (T2 high signal intensity and contrast enhancement).

Conclusions

HCNS showed various imaging findings according to their origin and pathologic subtype. HNCS should be differentiated if a bone tumor shows internal calcification and affects the adjacent bone. When diagnosing slow-growing soft tissue tumors, even if low possibility, HNCS should be considered.

Abstract

Objectives

To investigate the prevalence of incidental findings and need for further dental treatment and analyse the influence of size of field-of-view (FOV) and age in cone beam computed tomography (CBCT) for pre-implant planning.

Methods

404 CBCT scans were examined retrospectively for incidental findings and need for further dental treatment. Incidental finding-frequencies and need for further treatment were assessed for different age (< 40 years, 40–60 years, > 60 years) and FOV groups (small, medium, large). Intraexaminer and interexaminer agreements were evaluated.

Results

In 82% of the scans at least one incidental finding was found, with a total of 766 overall. More incidental findings were found in scans with large FOV (98% vs. 72%, OR = 22.39 large vs. small FOV, p < 0.0001) and in scans of patients > 60 years (OR = 5.37 patient’s age > 60 years vs. < 40 years, p = 0.0003). Further dental treatment due to incidental findings was needed in 31%. Scans with large FOV were more likely to entail further treatment (OR = 3.55 large vs. small FOV, p < 0.0001). Partial edentulism and large FOV were identified as risk factors for further treatment (p = 0.0003 and p < 0.0001). Further referral of the patient based on incidental findings was judged as indicated in 5%. Intra- and inter-examiner agreements were excellent (kappa = 0.944/0.805).

Conclusions

A considerable number of incidental findings with need for further dental treatment was found in partially edentulous patients and in patients > 60 years. In pre-implant planning of elderly patients, the selection of large FOV CBCT scans, including dentoalveolar regions not X-rayed recently, help to detect therapeutically relevant incidental findings.

Objective

To investigate the relationship between the maxillary sinus ostium 2D area (SOA) and the development of mucosal cysts of the maxillary sinus (MMC).

Methods

Thirty patients (≥ 18 years) with unilateral MMC who underwent paranasal sinus CT (PNsCT) were included in this single-center retrospective study. Non-MMC sinus was used as the control group. Cyst and air volume of the maxillary sinuses, diameter, and 2-dimensional area of the ostium of the patients were calculated in the 3-dimensional volumetric analysis program. Both correlation and linear regression model analyses were performed for the relationship between MMC and SOA.

Results

Thirty patients were included (mean age of 42.30 ± 17.62 years). A total of 15/30 (50%) were male. The mean SOA in patients with MMC (8.91 ± 1.10 mm²) was lower than in patients without MMC (12.94 ± 1.35 mm²), which was statistically significant (p < 0.001). The mean sinus ostium diameter in patients with MMC (2.12 ± 0.71 mm) was higher than in patients without MMC (1.91 ± 0.82 mm), which was statistically insignificant (p = 0.295). There was a statistically significant, good level of negative linear correlation between SOA and total cyst volume (TCV) [correlation coefficient (r) = – 0.680, p < 0.001]). As a result, the regression model consisting of "Age, Sinus air volume, and TCV" variables is a good model and has statistically significant relations with SOA.

Conclusion

In conclusion, small SOAs contribute to the development of MMC. There was a negative correlation between SOA and TCV. In addition, 2D area measurement may be a more accurate method instead of diameter measurement.