Dento maxillo facial radiology最新文献

{"title":"In-vitro Comparison of high-resolution USG, CBCT and Direct Measurements of Periodontal Defects.","authors":"Mahmure Ayşe Tayman, Kıvanç Kamburoğlu, Esra Ece Çakmak, Doğukan Özen","doi":"10.1093/dmfr/twaf019","DOIUrl":"https://doi.org/10.1093/dmfr/twaf019","url":null,"abstract":"<p><strong>Objectives: </strong>To compare the accuracy of cone-beam computed tomography (CBCT), ultrasonography (USG) and direct measurements in linear dimensions of periodontal defects on the buccal alveolar surfaces of mandibular sheep teeth.</p><p><strong>Methods: </strong>A total of 88 defects were artificially created, including dehiscence, fenestration, grade I and II endodontic-periodontal defects. Two observers performed measurements twice. Maximum length, depth and width of the defects were measured with all three methods. Manual measurements were accepted as the gold standard. Intraclass correlation coefficients (ICC) were calculated. The mean value of the measurements, the bias, the standard deviation of the differences, and the limits of agreement were estimated. Statistical significance was set at p < 0.05.</p><p><strong>Results: </strong>Intra- and inter-observer reliability was excellent, suggesting ICCs 0.988-1 and 0.981-1, respectively. The highest CCs were obtained from depth measurements, while the lowest CCs were obtained from length measurements. Although the differences were scattered around the bias. The estimated bias values for USG and CBCT were 0,18 (0,153-0,21) (p < 0.001) and 0,091 (0,079-0,102) (p < 0.001), respectively. Observers recorded measurements which were slightly underestimated with both techniques utilized.</p><p><strong>Conclusions: </strong>Observers measured periodontal defects with clinically acceptable underestimations by using CBCT and USG.</p><p><strong>Advances in knowledge: </strong>It is important to compare different innovative imaging modalities and gauge their efficiency in the measurement of various types of periodontal defects in terms of treatment planning, prognosis and follow up of those cases.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143709058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics analysis of intraoral ultrasonographic images for prediction of late cervical lymph node metastasis in patients with tongue cancer: influence of marginal region.","authors":"Masaru Konishi, Kiichi Shimabukuro, Naoya Kakimoto","doi":"10.1093/dmfr/twaf016","DOIUrl":"https://doi.org/10.1093/dmfr/twaf016","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the predictability of late cervical lymph node metastasis using radiomics analysis of ultrasonographic images of tongue cancer.</p><p><strong>Methods: </strong>We selected 128 patients with tongue cancer who underwent intraoral ultrasonography at the pre-treatment, 35 of whom had late cervical lymph node metastasis. Radiomics analysis was used to extract and quantify the image features. Segmentations were performed on three regions: the hypoechoic region with a 3-mm margin (0 + 3-mm margin), the hypoechoic region alone (0-mm margin), and the 3-mm region surrounding the hypoechoic area (3-mm margin). Support vector machine (SVM) and neural network (NNT) were used as the machine learning models, and sensitivity, specificity, and area under the curve (AUC) from the receiver operating characteristic curves were determined for diagnostic performances.</p><p><strong>Results: </strong>The AUC values in the test group were 0.893, 0.929, and 0.679 for the SVM models with 0 + 3-, 0-, and 3-mm margins, respectively. The AUC values in the test group were 0.905, 0.952, and 0.821 for the NNT models with 0 + 3-, 0-, and 3-mm margins, respectively.</p><p><strong>Conclusions: </strong>Radiomics analysis and machine learning models using ultrasonographic images of pretreated tongue cancer with a hypoechoic area (0-mm margin) could be the best models to predict late cervical lymph node metastasis.</p><p><strong>Advances in knowledge: </strong>This study makes a significant contribution to the tongue cancer treatment because radiomics analysis and machine learning models using ultrasonographic images of before the primary treatment for the tongue cancer could predict late cervical lymph node metastasis with high accuracy.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CBCT radiomics features combine machine learning to diagnose cystic lesions in the jaw.","authors":"Xiaoyan Sha, Chao Wang, Jiayu Sun, Senrong Qi, Xiaohong Yuan, Hui Zhang, Jigang Yang","doi":"10.1093/dmfr/twaf024","DOIUrl":"https://doi.org/10.1093/dmfr/twaf024","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to develop a radiomics model based on cone beam computed tomography (CBCT) to differentiate odontogenic cysts (OC), odontogenic keratocysts (OKC) and ameloblastomas (AB).</p><p><strong>Methods: </strong>In this retrospective study, CBCT images were collected from 300 patients diagnosed with OC, OKC and AB who underwent histopathological diagnosis. These patients were randomly divided into training (70%) and test (30%) cohorts. Radiomics features were extracted from the images, and the optimal features were incorporated into Random Forest model, Support Vector Classifier (SVC) model, Logistic Regression model and a soft VotingClassifier based on the above three algorithms. The performance of the models was evaluated using a receiver operating characteristic (ROC) curve and the area under the curve (AUC). The optimal model among these was then used to establish the final radiomics prediction model, whose performance was evaluated using the sensitivity, accuracy, precision, specificity and F1 score in both the training cohort and the test cohort.</p><p><strong>Results: </strong>The six optimal radiomics features were incorporated into a soft VotingClassifier. Its performance was the best overall. The AUC values of the One-vs-Rest (OvR) multiclassification strategy were AB-vs-Rest 0.963; OKC-vs-Rest 0.928; OC-vs-Rest 0.919 in the training cohort and AB-vs-Rest 0.814; OKC-vs-Rest 0.781; OC-vs-Rest 0.849 in the test cohort. The overall accuracy of the model in the training cohort was 0.757, and in the test cohort was 0.711.</p><p><strong>Conclusions: </strong>The VotingClassifier model demonstrated the ability of the CBCT radiomics to distinguish the multiple types of diseases (OC, OKC and AB) in the jaw and may have the potential to diagnose accurately under non-invasive conditions.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of mandibular landmark specification: correspondence between two-dimensional radiography and three-dimensional computed tomography.","authors":"Misato Shimizu, Yoshikazu Nakajima, Takeshi Ogasawara, Masayoshi Uezono, Keiji Moriyama","doi":"10.1093/dmfr/twaf020","DOIUrl":"https://doi.org/10.1093/dmfr/twaf020","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to establish accurate correspondence between landmarks on lateral (LA) and posteroanterior (PA) cephalograms and to demonstrate the locational relationship of these landmarks in two-dimensional (2D) and three-dimensional (3D) images.</p><p><strong>Methods: </strong>Twenty patients with skeletal Class III jaw deformity, without significant facial asymmetry, were recruited for this study. LA and PA cephalograms, taken simultaneously just before the orthognathic surgery, were utilized. Twelve mandibular landmarks were identified on each cephalogram, and their 3D coordinates values, as well as the residual differences between LA and PA cephalograms were calculated. To clarify the geometric correspondence between the LA and PA landmarks, the epipolar line method was introduced, which aimed to reduce residuals. In addition, 3D coordinate values of landmarks were compared between cephalograms and CT images in five patients with minimal asymmetry, by measuring the distance between corresponding landmarks as an error metric.</p><p><strong>Results: </strong>The use of epipolar lines significantly reduced the residuals for 3D coordinates across all landmarks compared to those without epipolar lines. In comparison of 3D coordinate values between cephalograms and CT images, the average error across all landmarks was approximately 0.64 mm, which was lower than reported in previous study.</p><p><strong>Conclusion: </strong>Incorporating epipolar lines during landmark extraction from LA and PA cephalograms significantly improved the accuracy and reliability of landmark correspondence between the two cephalograms. The 3D coordinate values derived from cephalograms closely matched those obtained from CT images, demonstrating high accuracy although they were independently derived.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"National Dose Survey and Discussion on Establishing Diagnostic Reference levels for Dental Imaging in Korea.","authors":"Jo-Eun Kim, Han-Gyeol Yeom, Jae-Jun Hwang, Yoon Joo Choi, Jin-Woo Han, Seo-Young An, Gyu-Tae Kim, Jae-Seo Lee, Jin-Soo Kim, Kyung-A Kim, Won-Jeong Han, Juhee Kang, Min-Suk Heo","doi":"10.1093/dmfr/twaf014","DOIUrl":"https://doi.org/10.1093/dmfr/twaf014","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to establish updated diagnostic reference levels (DRLs) for dental imaging modalities in South Korea.</p><p><strong>Methods: </strong>In cooperation with the Korea Disease Control and Prevention Agency, various types of institutions (dental clinics, dental hospitals and dental university hospitals) were selected to investigate the status of diagnostic radiation equipment use. Subsequently, over 300 units were randomly selected for each imaging device type (intraoral, panoramic and cone-beam computed tomography [CBCT]) as measurement samples. DRLs were defined as the 75th percentile of the dose area product distribution. The differences in dose were analysed based on the type of institution, age of use, country of manufacture and presence of a multifunction device.</p><p><strong>Results: </strong>The national DRLs for dental imaging established in this survey were as follows: intraoral imaging at 48 mGy·cm2 for adults and 31 mGy·cm2 for children; panoramic imaging at 354 mGy·cm2 for adults and 224 mGy·cm2 for children and CBCT at 1856 mGy·cm2 for adults and 1350 mGy·cm2 for children. Private dental clinics and hospitals recorded approximately twice the dose levels of university dental hospitals. CBCT devices in dental hospitals and those that have been in used for 5 to 10 years showed significantly high radiation doses.</p><p><strong>Conclusions: </strong>The DRLs established through this study were found to be significantly increased, especially in adult and paediatric panoramic radiographs and paediatric CBCT images, compared with those in previous surveys; moreover, they were higher than those in other countries. The findings of this study can serve as a basis for national dose reduction efforts.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic resonance image generation using enhanced TransUNet in Temporomandibular disorder patients.","authors":"Eun-Gyu Ha, Kug Jin Jeon, Chena Lee, Dong-Hyun Kim, Sang-Sun Han","doi":"10.1093/dmfr/twaf017","DOIUrl":"https://doi.org/10.1093/dmfr/twaf017","url":null,"abstract":"<p><strong>Objectives: </strong>Temporomandibular joint disorder (TMD) patients experience a variety of clinical symptoms, and magnetic resonance imaging (MRI) is the most effective tool for diagnosing temporomandibular joint (TMJ) disc displacement. This study aimed to develop a transformer-based deep learning model to generate T2-weighted (T2w) images from proton density-weighted (PDw) images, reducing MRI scan time for TMD patients.</p><p><strong>Methods: </strong>A dataset of 7,226 images from 178 patients who underwent TMJ MRI examinations was used. The proposed model employed a generative adversarial network framework with a TransUNet architecture as the generator for image translation. Additionally, a disc segmentation decoder was integrated to improve image quality in the TMJ disc region. The model performance was evaluated using metrics such as the structural similarity index measure (SSIM), learned perceptual image patch similarity (LPIPS), and Fréchet inception distance (FID). Three experienced oral radiologists also performed a qualitative assessment through the mean opinion score (MOS).</p><p><strong>Results: </strong>The model demonstrated high performance in generating T2w images from PDw images, achieving average SSIM, LPIPS, and FID values of 82.28%, 2.46, and 23.85, respectively, in the disc region. The model also obtained an average MOS score of 4.58, surpassing other models. Additionally, the model showed robust segmentation capabilities for the TMJ disc.</p><p><strong>Conclusion: </strong>The proposed model using the transformer, complemented by an integrated disc segmentation task, demonstrated strong performance in MR image generation, both quantitatively and qualitatively. This suggests its potential clinical significance in reducing MRI scan times for TMD patients while maintaining high image quality.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracy of Upper Airway Volume Measurements Using Different Software Products: A Comparative Analysis.","authors":"Muhammed Enes Naralan, Taha Emre Köse, Merve Gonca, Büşra Beşer Gül, Dilara Nil Günaçar","doi":"10.1093/dmfr/twaf023","DOIUrl":"https://doi.org/10.1093/dmfr/twaf023","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to evaluate the accuracy of airway volume measurements obtained from cone-beam computed tomography (CBCT) images using various software programs, with a focus on assessing the performance of NemoStudio compared to other tools. The estimated volumes were compared with the volume of the solid model's cavity filled with water (gold standard).</p><p><strong>Methods: </strong>A single 3D-printed airway model was created based on CBCT data and scanned ten times under identical conditions. Volume measurements were performed using semi-automatic segmentation in four software programs (NemoStudio, NNT Viewer, ITK-SNAP, and 3D Slicer). The results were compared to the gold standard using repeated measures ANOVA, Bland-Altman plots, and post hoc comparisons.</p><p><strong>Results: </strong>Nemo Studio demonstrated a systematic bias and higher variability compared to the gold standard, resulting in lower accuracy than the other software programs. ITK-SNAP and 3D Slicer showed the highest agreement with the gold standard, while NNT Viewer also exhibited acceptable performance. Statistical analyses revealed significant differences in the accuracy of volume measurements among the software tools (P < 0.001). Bland-Altman plots highlighted Nemo Studio's broader limits of agreement, emphasizing its deviation from the gold standard.</p><p><strong>Conclusion: </strong>Variability in airway volume measurement accuracy underscores the need for careful software selection and methodological standardization. Further refinement of segmentation algorithms is essential for improved consistency and reliability in clinical applications.</p><p><strong>Advances in knowledge: </strong>This study provides the first evaluation of NemoStudio's volumetric accuracy for CBCT-based airway measurements, offering novel insights into software reliability and the impact of algorithm selection in clinical and academic settings.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient perceptions of artificial intelligence in dental imaging diagnostics: a multicenter survey.","authors":"Camila Tirapelli, Hugo Gaêta-Araújo, Eliana Dantas da Costa, William C Scarfe, Christiano Oliveira-Santos, Kathleen M Fischer, Brigitte Grosgogeat, Valérie Szonyi, Paulo Melo, Julio Ruiz Marrara, Napat Bolstad, Rubens Spin-Neto, Ruben Pauwels","doi":"10.1093/dmfr/twaf018","DOIUrl":"https://doi.org/10.1093/dmfr/twaf018","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate patients' perceptions of the use of artificial intelligence (AI) in dental imaging diagnostics across six centers worldwide, hereby named according to their respective cities: Ribeirão Preto (Brazil), Aarhus (Denmark), Lyon (France), Tromsø (Norway), Porto (Portugal), Louisville (USA).</p><p><strong>Methods: </strong>A survey was administered at each center, focusing on patient attitudes and beliefs regarding AI in dental imaging diagnostics. The survey comprised 16 statements rated on a Likert scale, patient characteristics, and an optional comment section. Inter-center differences were analyzed using chi-square and Fisher's exact tests, and correlation analyses were performed between participant characteristics and their perceptions of AI.</p><p><strong>Results: </strong>A total of 2,581 responses were collected. Most participants expressed positive perceptions of AI as a complementary diagnostic tool, rather than a replacement for human dentists. Key concerns included the need for human oversight, data privacy, and potential cost increases. Differences were observed between centers, with participants from Ribeirão Preto being more likely to accept AI replacing dentists, whereas those from Aarhus and Tromsø expressed greater skepticism about AI's diagnostic capabilities. Higher levels of education and familiarity with AI were positively associated with more favorable views, provided that human supervision remained a key component.</p><p><strong>Conclusions: </strong>Overall, patients favor the use of AI in dental imaging as an auxiliary diagnostic tool, with human supervision remaining essential. Cultural and demographic factors significantly influence perceptions.</p><p><strong>Advances in knowledge: </strong>The findings highlight the need for tailored communication strategies to address patient concerns and facilitate the integration of AI into dental care.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic resonance cisternography for trigeminal neuralgia: comparison between gradient-echo and spin-echo 3D sequences.","authors":"Natnicha Wamasing, Hiroshi Watanabe, Ami Kuribayashi, Akiko Imaizumi, Junichiro Sakamoto, Hiroshi Tomisato","doi":"10.1093/dmfr/twaf015","DOIUrl":"https://doi.org/10.1093/dmfr/twaf015","url":null,"abstract":"<p><strong>Objective: </strong>To quantitatively and qualitatively compare directly two types of cisternography images for diagnosing trigeminal neuralgia (TN) using 3-T magnetic resonance imaging.</p><p><strong>Methods: </strong>This prospective study recruited 64 patients with a clinical diagnosis or suspicion of TN. Patients were examined through the three-dimensional (3D) Constructive Interference in Steady State (CISS) and Sampling Perfection with Application-optimized Contrasts using different flip angle Evolutions (SPACE) sequences. Three radiologists quantitatively measured the signal intensity of the trigeminal nerve (cranial nerve V, CN5) (SICN5), cerebrospinal fluid (CSF) (SICSF), and contrast between CN5 and CSF (Cont.). Additionally, two radiologists qualitatively evaluated the basilar artery (BA), CN5, CSF, image artefacts, and overall image quality. Statistical analyses included paired-sample t-tests, non-parametric McNemar tests, and the Friedman test (significance set at p < 0.05).</p><p><strong>Results: </strong>Mean SICN5 (p < 0.001), SICSF (p = 0.679), and Cont. (p < 0.001) were as follows: 203.08 ± 26.68, 936.03 ± 91, and 3.68 ± 0.74 in CISS; 46.80 ± 16.88, 940.61 ± 71.39, and 23.19 ± 14.52 in SPACE. Low-to-moderate CN5 and BA visibility was observed in all cases in CISS, while it was noted in one case for CN5 and in none for BA in SPACE (p < 0.001). Homogenous CSF and minor artefacts were observed in 14 cases in CISS, while it was seen in 52 cases for CN5 and 59 for BA in SPACE (p < 0.001). The overall image quality was scored as four in 57 cases in SPACE, while no cases received this score in CISS (p < 0.001).</p><p><strong>Conclusions: </strong>SPACE provided better images than CISS for evaluating CN5 and prepontine cistern vascularity, indicating a valuable sequence for TN diagnosis.</p><p><strong>Advances in knowledge: </strong>This study indicates that SPACE should be selected for TN diagnosis instead of CISS sequence.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143613933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methods for assessing peri-implant marginal bone levels on digital periapical radiographs: a meta-research.","authors":"Isabella Neme Ribeiro Dos Reis, Nathalia Vilela, Nadja Naenni, Ronald Ernest Jung, Frank Schwarz, Giuseppe Alexandre Romito, Rubens Spin-Neto, Claudio Mendes Pannuti","doi":"10.1093/dmfr/twaf002","DOIUrl":"10.1093/dmfr/twaf002","url":null,"abstract":"<p><strong>Objectives: </strong>This meta-research assessed methodologies used for evaluating peri-implant marginal bone levels on digital periapical radiographs in randomized clinical trials published between 2019 and 2023.</p><p><strong>Methods: </strong>Articles were searched in four databases. Data on methods for assessing peri-implant marginal bone levels were extracted. Risk of bias assessment was performed.</p><p><strong>Results: </strong>During full-text reading, 108 out of 162 articles were excluded. Methodological issues accounted for these exclusions, including the absence of radiograph-type information, the lack of radiographic positioners, the missing anatomical references, and the use of panoramic radiographs or tomography. Fifty-four articles were included, most from Europe (70%) and university-based (74%). Radiographic positioners were specified in 54% of articles. Examiner calibration was unreported in 54%, with 69% lacking details. In 59%, no statistical measure assessed examiner agreement. Blinding was unreported or unused in 50%. Marginal bone level changes were the primary outcome of 61%. Most articles (59.3%) raised \"some concerns\" regarding bias, while 37% showed a high risk of bias, and only two articles (3.7%) demonstrated a low risk of bias.</p><p><strong>Conclusions: </strong>Several limitations and areas for improvement were identified. Future studies should prioritize protocol registration, standardize radiographic acquisitions, specify examiner details, implement calibration and statistical measures for agreement, introduce blinding protocols, and maintain geometric calibration standards.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"222-230"},"PeriodicalIF":2.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143001902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}