Dento maxillo facial radiology最新文献

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Application of metal artifact reduction algorithm for CBCT diagnosis of temporary anchorage device-tooth root contact: inadequate to reduce false-positive rate. 应用金属伪影减少算法进行临时固定装置与牙根接触的 CBCT 诊断:不足以降低假阳性率。
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-07-03 DOI: 10.1259/dmfr.20220396
Victoria McLaughlin, Jie Liu, Sonya Kalim, Kristin Nguyen, Do-Gyoon Kim, Zongyang Sun
{"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}
引用次数: 0
Automated detection of cephalometric landmarks using deep neural patchworks. 利用深度神经拼凑技术自动检测头颅测量标志。
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-07-03 DOI: 10.1259/dmfr.20230059
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
{"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}
引用次数: 0
Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma. 基于表观扩散系数直方图的鼻窦倒置乳头状瘤恶变预测提名图的开发与验证
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-02-17 DOI: 10.1259/dmfr.20220301
Meng Qi, Zhipeng Xia, Fang Zhang, Yan Sha, Jiliang Ren
{"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<sub>10th</sub> and ADC<sub>Skewness</sub> 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}
引用次数: 0
Human examination and artificial intelligence in cephalometric landmark detection-is AI ready to take over? 头颅测量标志检测中的人工检查和人工智能--人工智能准备好了吗?
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-07-03 DOI: 10.1259/dmfr.20220362
Suvarna Indermun, Shoayeb Shaik, Clement Nyirenda, Keith Johannes, Riaan Mulder
{"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}
引用次数: 0
The impact of CBCT-head tilting on 3D condylar segmentation reproducibility. CBCT 头部倾斜对三维髁状突分割再现性的影响。
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 DOI: 10.1259/dmfr.20230072
Samy El Bachaoui, Pieter-Jan Verhelst, Karla de Faria Vasconcelos, Eman Shaheen, Wim Coucke, Gwen Swennen, Reinhilde Jacobs, Constantinus Politis
{"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}
引用次数: 0
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study. 用于头颈部肿瘤定量和形态学评估的合成 MRI:初步研究。
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-07-03 DOI: 10.1259/dmfr.20230103
Zanxia Zhang, Shujian Li, Weijian Wang, Yong Zhang, Kaiyu Wang, Jingliang Cheng, Baohong Wen
{"title":"Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study.","authors":"Zanxia Zhang, Shujian Li, Weijian Wang, Yong Zhang, Kaiyu Wang, Jingliang Cheng, Baohong Wen","doi":"10.1259/dmfr.20230103","DOIUrl":"10.1259/dmfr.20230103","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the feasibility of synthetic MRI for quantitative and morphologic assessment of head and neck tumors and compare the results with the conventional MRI approach.</p><p><strong>Methods and materials: </strong>A total of 92 patients with different head and neck tumor histology who underwent conventional and synthetic MRI were retrospectively recruited. The quantitative T1, T2, proton density (PD), and apparent diffusion coefficient (ADC) values of 38 benign and 54 malignant tumors were measured and compared. Diagnostic efficacy for differentiating malignant and benign tumors was evaluated with receiver operating characteristic (ROC) analysis and integrated discrimination index. The image quality of conventional and synthetic <i>T</i><sub>1</sub>W/<i>T</i><sub>2</sub>W images on a 5-level Likert scale was also compared with Wilcoxon signed rank test.</p><p><strong>Results: </strong>T1, T2 and ADC values of malignant head and neck tumors were smaller than those of benign tumors (all <i>p</i> < 0.05). T2 and ADC values showed better diagnostic efficacy than T1 for distinguishing malignant tumors from benign tumors (both <i>p</i> < 0.05). Adding the T2 value to ADC increased the area under the curve from 0.839 to 0.886, with an integrated discrimination index of 4.28% (<i>p</i> < 0.05). In terms of overall image quality, synthetic <i>T</i><sub>2</sub>W images were comparable to conventional <i>T</i><sub>2</sub>W images, while synthetic <i>T</i><sub>1</sub>W images were inferior to conventional <i>T</i><sub>1</sub>W images.</p><p><strong>Conclusions: </strong>Synthetic MRI can facilitate the characterization of head and neck tumors by providing quantitative relaxation parameters and synthetic <i>T</i><sub>2</sub>W images. T2 values added to ADC values may further improve the differentiation of tumors.</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/PMC10461255/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10098786","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}
引用次数: 0
Diagnostic application of intraoral ultrasonography to assess furcation involvement in mandibular first molars. 应用口内超声波诊断技术评估下颌第一磨牙的窝沟受累情况。
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-05-12 DOI: 10.1259/dmfr.20230027
Ray Tanaka, Katherine Lau, Andy Wk Yeung, Wai Keung Leung, Takafumi Hayashi, Michael M Bornstein, Maurizio S Tonetti, George Pelekos
{"title":"Diagnostic application of intraoral ultrasonography to assess furcation involvement in mandibular first molars.","authors":"Ray Tanaka, Katherine Lau, Andy Wk Yeung, Wai Keung Leung, Takafumi Hayashi, Michael M Bornstein, Maurizio S Tonetti, George Pelekos","doi":"10.1259/dmfr.20230027","DOIUrl":"10.1259/dmfr.20230027","url":null,"abstract":"<p><strong>Objectives: </strong>The objectives were to clarify if intraoral ultrasonography (USG) is: (1) more accurate than conventional periodontal examinations in detection of furcation involvement, and (2) comparable to conventional periodontal examinations in accurate horizontal classification of furcation involvement in comparison to cone beam computed tomography (CBCT).</p><p><strong>Methods: </strong>The buccal furcation in 61 lower first molars were evaluated with conventional periodontal examinations, intraoral USG and CBCT. The presence and classification of the horizontal depth of furcation involvement were defined clinically by assessment with a Nabers periodontal probe and a periapical radiograph with reference to the bone loss under the fornix. The horizontal depth of furcation involvement was measured in intraoral USG and CBCT images. Based on the measurements, presence diagnosis and horizontal classification were performed. Results from conventional periodontal examinationsand intraoral USG were compared with those from CBCT.</p><p><strong>Results: </strong>κ value (κ) for agreement of presence diagnosis of furcation involvement between intraoral USG and CBCT was 0.792, while agreement with conventional periodontal examinations was 0.225. Diagnostic accuracy of intraoral USG exhibited higher values (sensitivity: 98.3%, accuracy: 98.4 %) than conventional periodontal examinations (81.4% and 81.9 %). Weighted κ statistics showed substantial agreement in the classification between intraoral USG and CBCT (κ = 0.674). High agreement (ICC: 0.914) for the measurement of horizontal depth of furcation involvement was found between intraoral USG and CBCT.</p><p><strong>Conclusions: </strong>Intraoral USG may be a reliable diagnostic tool for assessment of furcation involvement of mandibular molars with a similar performance to CBCT, but without ionizing radiation.</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/PMC10461257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10096686","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}
引用次数: 0
Maximum and mean standardized uptake values of medication-related osteonecrosis of the jaw with bone SPECT/CT: comparison of mandibular pathologies, control and temporomandibular joints. 用骨SPECT/CT检测与药物相关的颌骨坏死的最大和平均标准化摄取值:下颌骨病变、对照组和颞下颌关节的比较。
IF 2.9 2区 医学
Dento maxillo facial radiology Pub Date : 2023-09-01 Epub Date: 2023-06-22 DOI: 10.1259/dmfr.20230119
Yasuhito Tezuka, Ichiro Ogura
{"title":"Maximum and mean standardized uptake values of medication-related osteonecrosis of the jaw with bone SPECT/CT: comparison of mandibular pathologies, control and temporomandibular joints.","authors":"Yasuhito Tezuka, Ichiro Ogura","doi":"10.1259/dmfr.20230119","DOIUrl":"10.1259/dmfr.20230119","url":null,"abstract":"<p><strong>Objective: </strong>Recently, single-photon emission CT/CT (SPECT/CT) plays an important role in assessing patients with medication-related osteonecrosis of the jaw (MRONJ). The aim of this study was to investigate maximum and mean standardized uptake values (SUVs) of MRONJ with bone SPECT/CT, especially comparison of mandibular pathologies, control and temporomandibular joints.</p><p><strong>Methods: </strong>61 mandibular patients with MRONJ who underwent bone SPECT/CT were included in this study. The maximum and mean SUVs of the lesion, right and left sides of the lesion, opposite side of the lesion as control, right and left temporomandibular joints were analyzed using a workstation and software. The SUVs of MRONJ were analyzed using one-way analysis of variance with Tukey's honestly significant difference test. Patient characteristics with MRONJ and SUVs were analyzed using Mann-Whitney <i>U</i> test. <i>P-</i>values less than 0.05 were considered to indicate statistical significance.</p><p><strong>Results: </strong>The maximum and mean SUVs for opposite side of the lesions (4.4 ± 2.0 and 1.8 ± 0.7) were significantly lower than those for mandibular lesions (18.3 ± 8.1 and 6.3 ± 2.8), right side of the lesions (8.1 ± 3.9 and 2.9 ± 1.3) and left side of the lesions (8.1 ± 3.9 and 2.8 ± 1.4), respectively. The maximum and mean SUVs for right and left sides of the lesions, and opposite side of the lesions, right and left temporomandibular joints were not significant difference. Furthermore, the maximum SUVs of the mandibular lesions were a significant difference for age and staging.</p><p><strong>Conclusions: </strong>The maximum and mean SUVs with SPECT/CT can be useful in the quantitative management of MRONJ patients.</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/PMC10461260/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10100715","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}
引用次数: 0
MRI-based cephalometrics: a scoping review of current insights and future perspectives. 基于核磁共振成像的头颅测量学:当前见解和未来展望的范围综述。
IF 3.3 2区 医学
Dento maxillo facial radiology Pub Date : 2023-07-01 Epub Date: 2023-03-16 DOI: 10.1259/dmfr.20230024
Karthik Sennimalai, Madhanraj Selvaraj, Om Prakash Kharbanda, Devasenathipathy Kandasamy, Kaja Mohaideen
{"title":"MRI-based cephalometrics: a scoping review of current insights and future perspectives.","authors":"Karthik Sennimalai, Madhanraj Selvaraj, Om Prakash Kharbanda, Devasenathipathy Kandasamy, Kaja Mohaideen","doi":"10.1259/dmfr.20230024","DOIUrl":"10.1259/dmfr.20230024","url":null,"abstract":"<p><strong>Objective: </strong>This review aims to explore the current status of magnetic resonance imaging (MRI) as a cephalometric tool, summarize the equipment design and methods, and propose recommendations for future research.</p><p><strong>Methods: </strong>A systematic search was conducted in electronic databases, including PubMed, Ovid MEDLINE, Scopus, Embase, Web of Science, EBSCOhost, LILACS, and Cochrane Library, using broad search terms. The articles published in any language till June 2022 were considered. Cephalometric studies conducted using the MRI dataset on human participants, phantom or cadaver were included. Two independent reviewers assessed the final eligible articles using the quality assessment score (QAS).</p><p><strong>Results: </strong>Nine studies were included in the final assessment. Studies used various methods, including 1.5 T or 3 T MRI systems and 3D or 2D MRI datasets. Among the imaging sequences, <i>T</i><sub>1</sub>-weighted, <i>T</i><sub>2</sub>-weighted and black bone MR images were used for cephalometric analysis. In addition, the reference standards varied among studies, such as traditional 2D cephalogram, cone-beam CT and phantom measurements. The mean QAS of all the included studies was 79% (± 14.4%). The main limitation of most studies was the small sample size and the heterogeneity of the methods, statistical tools used, and metric outcomes assessed.</p><p><strong>Conclusions: </strong>Despite the heterogeneity and lack of metrological evidence on the effectiveness of MRI-based cephalometric analysis, the preliminary results demonstrated by <i>in vivo</i> and <i>in vitro</i> studies are encouraging. However, future studies exploring MRI sequences specific to cephalometric diagnosis are required for wider adoption of this technique in routine orthodontic practice.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10081605","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}
引用次数: 0
Refinement of image quality in panoramic radiography using a generative adversarial network. 利用生成式对抗网络提高全景放射摄影的图像质量。
IF 3.3 2区 医学
Dento maxillo facial radiology Pub Date : 2023-07-01 Epub Date: 2023-05-02 DOI: 10.1259/dmfr.20230007
Hak-Sun Kim, Eun-Gyu Ha, Ari Lee, Yoon Joo Choi, Kug Jin Jeon, Sang-Sun Han, Chena Lee
{"title":"Refinement of image quality in panoramic radiography using a generative adversarial network.","authors":"Hak-Sun Kim, Eun-Gyu Ha, Ari Lee, Yoon Joo Choi, Kug Jin Jeon, Sang-Sun Han, Chena Lee","doi":"10.1259/dmfr.20230007","DOIUrl":"10.1259/dmfr.20230007","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to develop and assess the clinical usefulness of a generative adversarial network (GAN) model for improving image quality in panoramic radiography.</p><p><strong>Methods: </strong>Panoramic radiographs obtained at Yonsei University Dental Hospital were randomly selected for study inclusion (<i>n</i> = 100). Datasets with degraded image quality (<i>n</i> = 400) were prepared using four different processing methods: blur, noise, blur with noise, and blur in the anterior teeth region. The images were distributed to the training and test datasets in a ratio of 9:1 for each group. The Pix2Pix GAN model was trained using pairs of the original and degraded image datasets for 100 epochs. The peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) were obtained for the test dataset, and two oral and maxillofacial radiologists rated the quality of clinical images.</p><p><strong>Results: </strong>Among the degraded images, the GAN model enabled the greatest improvement in those with blur in the region of the anterior teeth but was least effective in improving images exhibiting blur with noise (PSNR, 36.27 > 32.74; SSIM, 0.90 > 0.82). While the mean clinical image quality score of the original radiographs was 44.6 out of 46.0, the highest and lowest predicted scores were observed in the blur (45.2) and noise (36.0) groups.</p><p><strong>Conclusion: </strong>The GAN model developed in this study has the potential to improve panoramic radiographs with degraded image quality, both quantitatively and qualitatively. As the model performs better in refining blurred images, further research is required to identify the most effective methods for handling noisy images.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304845/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9697870","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}
引用次数: 0
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