• Title/Summary/Keyword: Radiographic classification

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THE INCIDENCE AND CLASSIFICATION OF AMELOBLASTOMA (Ameloblastoma에 대한 방사선학적 연구)

  • Park T. W.
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.15 no.1
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    • pp.21-26
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    • 1985
  • The author observed 97 cases ameloblastoma diagnosed in Department of Oral Radiology in Seoul National University and analyzed patient's age, sex, location, relation with adjacent anatomic structures, and radiographic forms. The obtained results are as follows: 1. The average age of patients was 28.7 years. The mean age of male was 28.5 years, and female's 30.0 years. Third decades revealed highest rate. 2. The occurrence of ameloblastoma is approximately evenly distributed in both sexes, male 46 cases (47.2%), female 51 cases (52.6%). 3. Ninty-five (98.0%) cases occurred in the mandible. The mandibular molar-ramus region was the most frequent site of the tumor (74 cases, 76.3%). 4. Most of the cases affected adjacent anatomic structures. 24 cases (24.7%) were shown to be definitely associated with an impacted tooth. 5. Radiographic forms are unilocular (29 cases, 29.3%), honeycomb (17 cases, 17.5%), and multilocular (67 cases, 69.1%) radiolucencies.

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Image interpretation errors often observed in a dental clinic (임상에서 흔히 관찰되는 영상판독 오류)

  • Park, In-Woo
    • The Journal of the Korean dental association
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    • v.54 no.9
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    • pp.712-728
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    • 2016
  • These days, the clinical course of dental imaging sector has done a lot of implant-related imaging courses, including cone beam CT. In contrast, the general image reading course is not given a lot of opportunities to learn. Therefore, it is imperative that we talk about the general image interpretation that can be read easily applied in a dental clinic. When we see a strange radiographic finding of our patient in the dental clinic, we should first check whether the radiographic finding is a normal finding or a morbidity. If the finding is diagnosed as a morbidity, you should make plans for the appropriate therapy. The most important step is classification between normal state and morbidity. Some lesions may occur without any clinical symptoms. Therefore, we should read all the parts of radiographs, even the patient does not have clinical symptoms.

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Classification and surgical management of temporomandibular joint ankylosis: a review

  • Upadya, Varsha Haridas;Bhat, Hari Kishore;Rao, B.H. Sripathi;Reddy, Srinivas Gosla
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.47 no.4
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    • pp.239-248
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    • 2021
  • The paper reviews various classifications and surgical techniques for the treatment of temporomandibular joint ankylosis. PubMed, EBSCO, Web of Science, and Google Scholar were searched using a combination of keywords. Articles related to classification, resection-reconstruction of the temporomandibular joint, and management of airway obstruction were considered and categorized based on the objectives. Seventy-nine articles were selected, which included randomized clinical trials, non-randomized controlled cohort studies, and case series. Though several classifications exist, most classifications are centered on the radiographic extent of the ankylotic mass and do not include the clinical and functional parameters. Hence there is a need for a comprehensive staging system that takes into consideration the age of the patient, severity of the disease, clinical, functional, and radiographic findings. Staging the disease will help the clinician to adopt a holistic approach in treating these patients. Interpositional arthroplasty (IA) results in better maximal incisal opening compared with gap arthroplasty, with no significant difference in recurrent rates. Distraction osteogenesis (DO) is emerging as a popular technique for the restoration of symmetry and function as well as for relieving airway obstruction. IA, with a costochondral graft, is recommended in growing patients and may be combined with or preceded by DO in cases of severe airway obstruction. Alloplastic total joint replacement combined with fat grafts and simultaneous osteotomy procedures are gaining popularity. A custom-made total joint prosthesis using CAD/CAM can efficiently overcome the shortcomings of stock prostheses.

Correlation of bone quality in radiographic images with clinical bone quality classification (방사선사진에서의 골질과 임상적으로 평가한 골질 분류의 상관관계)

  • Kim Hyun-Woo;Huh Kyung-Hoe;Park Kwan-Soo;Kim Jeong-Hwa;Yi Won-Jin;Heo Min-Suk;Lee Sam-Sun;Choi Soon-Chul
    • Imaging Science in Dentistry
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    • v.36 no.1
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    • pp.25-32
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    • 2006
  • Purpose : To investigate the validity of digital image processing on panoramic radiographs in estimating bone quality before endosseous dental implant installation by correlating bone quality in radiographic images with clinical bone quality classification. Materials and Methods : An experienced surgeon assessed and classified bone quality for implant sites with tactile sensation at the time of implant placement. Including fractal dimension eighteen morphologic features of trabecular pattern were examined In each anatomical sites on panoramic radiographs. Finally bone quality of 67 implant sites were evaluated in 42 patients. Results : Pearson correlation analysis showed that three morphologic parameters had weak linear negative correlation with clinical bone quality classification showing correlation coefficients of -0.276, -0.280, and - 0.289, respectively (p<0.05). And other three morphologic parameters had obvious linear negative correlation with clinical bone quality classification showing correlation coefficients of -0.346, -0.488, and -0.343 respectively (p<0.05). Fractal dimension also had a linear correlation with clinical bone quality classification with correlation coefficients -0.506 significantly (p<0.05). Conclusion : This study suggests that fractal and morphometric analysis using digital panoramic radiographs can be used to evaluate bone quality for implant recipient sites.

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Determination and classification of intraoral phosphor storage plate artifacts and errors

  • Deniz, Yesim;Kaya, Seher
    • Imaging Science in Dentistry
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    • v.49 no.3
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    • pp.219-228
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    • 2019
  • Purpose: The aim of this study was to determine the reasons and solutions for intraoral phosphor storage plate (PSP) image artifacts and errors, and to develop an appropriate classification of the artifacts. Materials and Methods: This study involved the retrospective examination of 5,000 intraoral images that had been obtained using a phosphor plate system. Image artifacts were examined on the radiographs and classified according to possible causative factors. Results: Artifacts were observed in 1,822 of the 5,000 images. After examination of the images, the errors were divided into 6 groups based on their causes, as follows: images with operator errors, superposition of undesirable structures, ambient light errors, plate artifacts (physical deformations and contamination), scanner artifacts, and software artifacts. The groups were then re-examined and divided into 45 subheadings. Conclusion: Identification of image artifacts can help to improve the quality of the radiographic image and control the radiation dose. Knowledge of the basic physics and technology of PSP systems could aid to reduce the need for repeated radiography.

Comparison of panoramic radiography and cone-beam computed tomography for assessing radiographic signs indicating root protrusion into the maxillary sinus

  • Jung, Yun-Hoa;Cho, Bong-Hae;Hwang, Jae Joon
    • Imaging Science in Dentistry
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    • v.50 no.4
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    • pp.309-318
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    • 2020
  • Purpose: This study investigated correlations between findings on panoramic radiographs and cone-beam computed tomography (CBCT) to assess the relationship between the maxillary sinus floor and the roots of maxillary posterior teeth. In addition, radiographic signs indicating actual root protrusion into the maxillary sinus were evaluated on panoramic radiographs. Materials and Methods: Paired panoramic radiographs and CBCT images from 305 subjects were analyzed. This analysis classified 2,440 maxillary premolars and molars according to their relationship with the maxillary sinus floor on panoramic radiographs and CBCT images. In addition, interruption of the sinus floor was examined on panoramic radiographs. Results: Root protrusion into the maxillary sinus occurred most frequently in the mesiobuccal roots of the second molars. The classification according to panoramic radiographs and CBCT images was the same in more than 90% of cases when there was no contact between the root apex and the sinus floor. When the panoramic radiograph showed root protrusion into the sinus, the CBCT images showed the same classification in 67.5% of second molars, 48.8% of first molars, and 53.3% of second premolars. There was a statistically significant relationship between interruption of the sinus floor on panoramic radiographs and root protrusion into the sinus on CBCT images. Conclusion: The presence of root protrusion into the sinus on panoramic radiographs demonstrated a moderate ability to predict root protrusion into the maxillary sinus. Interruption of the maxillary sinus floor could be considered an indicator of actual root protrusion into the maxillary sinus.

Refracture after locking compression plate removal in displaced midshaft clavicle fractures after bony union: a retrospective study

  • Park, Ho-Youn;Kim, Seok-Jung;Sur, Yoo-Joon;Jung, Jae-Woong;Kong, Chae-Gwan
    • Clinics in Shoulder and Elbow
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    • v.24 no.2
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    • pp.72-79
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    • 2021
  • Background: A midshaft clavicle fracture is a common fracture that typically responds well to open reduction and internal fixation (ORIF). However, refracture can occur after implant removal (IR). This study aimed to analyze the rate of refracture and related factors after removal of the locking compression plate (LCP) for displaced midshaft clavicle fractures. Methods: We retrospectively reviewed the medical records of 201 patients who had undergone ORIF with LCP for midshaft clavicle fractures after IR after bony union from January 2011 to May 2018 at our institute. We evaluated basic demographic characteristics and radiographic parameters. All patients were treated with an LCP for primary fracture. The patients were divided into two groups: a refracture group that experienced a second fracture within 1 year after IR and a no-fracture group. Results: There were four cases (1.99%) of refracture; three were treated conservatively, while one was treated surgically. All patients achieved bony union. The average interval between refracture and IR was 64 days (range, 6-210 days). There was a significant difference in classification of fractures (AO Foundation/Orthopaedic Trauma Association [AO/OTA] classification) between the two groups. However, other patient demographics and radiographic measurements between refracture and IR, such as bone diameter, showed no significant difference between the two groups. Conclusions: This study showed that one in 50 patients suffered from refracture after removal of the LCP. Thus, if patients desire IR, the surgeon should explain that there is a relatively higher possibility of refracture for cases with simple or segmental fractures than for other types of fracture.

Deep-learning performance in identifying and classifying dental implant systems from dental imaging: a systematic review and meta-analysis

  • Akhilanand Chaurasia;Arunkumar Namachivayam;Revan Birke Koca-Unsal;Jae-Hong Lee
    • Journal of Periodontal and Implant Science
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    • v.54 no.1
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    • pp.3-12
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    • 2024
  • Deep learning (DL) offers promising performance in computer vision tasks and is highly suitable for dental image recognition and analysis. We evaluated the accuracy of DL algorithms in identifying and classifying dental implant systems (DISs) using dental imaging. In this systematic review and meta-analysis, we explored the MEDLINE/PubMed, Scopus, Embase, and Google Scholar databases and identified studies published between January 2011 and March 2022. Studies conducted on DL approaches for DIS identification or classification were included, and the accuracy of the DL models was evaluated using panoramic and periapical radiographic images. The quality of the selected studies was assessed using QUADAS-2. This review was registered with PROSPERO (CRDCRD42022309624). From 1,293 identified records, 9 studies were included in this systematic review and meta-analysis. The DL-based implant classification accuracy was no less than 70.75% (95% confidence interval [CI], 65.6%-75.9%) and no higher than 98.19 (95% CI, 97.8%-98.5%). The weighted accuracy was calculated, and the pooled sample size was 46,645, with an overall accuracy of 92.16% (95% CI, 90.8%-93.5%). The risk of bias and applicability concerns were judged as high for most studies, mainly regarding data selection and reference standards. DL models showed high accuracy in identifying and classifying DISs using panoramic and periapical radiographic images. Therefore, DL models are promising prospects for use as decision aids and decision-making tools; however, there are limitations with respect to their application in actual clinical practice.

Cervico-stylo-mandibular complex fracture: a critical review of literature along with a protocol to recognize and proposal of a new classification

  • Donepudi, Nanda Kishore;Naik, Vinayak Gourish;Rai, Kirthi Kumar
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.45 no.6
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    • pp.302-308
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    • 2019
  • Fractures of the styloid process of the temporal bone may occur with or without an obvious relation to trauma. The incidence of either isolated styloid process fracture or in combination with mandibular fractures is rare, and such occurrences are often misdiagnosed or neglected. A fractured styloid when displaced may impinge on adjacent vital structures, leading to neurological or vascular symptoms that vary according to the anatomical structure compressed. Styloid process fractures associated with atlas/C1 fractures have also been rarely reported in the literature. In this review of literature, the majority of patients was treated conservatively, as few demonstrated the necessity of surgical intervention. There is a definitive need for a protocol to recognize and classify styloid fractures to plan for further treatment. The aim of this review was to achieve a comprehensive understanding of all types of styloid fractures, determine the clinical severity of symptoms, and to consider management and prognosis. In addition, a new classification of cervico-stylo-mandibular fractures is proposed based on important evidence in the literature regarding clinical and radiographic factors that might influence the treatment and prognosis of such fractures.

Deep learning improves implant classification by dental professionals: a multi-center evaluation of accuracy and efficiency

  • Lee, Jae-Hong;Kim, Young-Taek;Lee, Jong-Bin;Jeong, Seong-Nyum
    • Journal of Periodontal and Implant Science
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    • v.52 no.3
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    • pp.220-229
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    • 2022
  • Purpose: The aim of this study was to evaluate and compare the accuracy performance of dental professionals in the classification of different types of dental implant systems (DISs) using panoramic radiographic images with and without the assistance of a deep learning (DL) algorithm. Methods: Using a self-reported questionnaire, the classification accuracy of dental professionals (including 5 board-certified periodontists, 8 periodontology residents, and 31 dentists not specialized in implantology working at 3 dental hospitals) with and without the assistance of an automated DL algorithm were determined and compared. The accuracy, sensitivity, specificity, confusion matrix, receiver operating characteristic (ROC) curves, and area under the ROC curves were calculated to evaluate the classification performance of the DL algorithm and dental professionals. Results: Using the DL algorithm led to a statistically significant improvement in the average classification accuracy of DISs (mean accuracy: 78.88%) compared to that without the assistance of the DL algorithm (mean accuracy: 63.13%, P<0.05). In particular, when assisted by the DL algorithm, board-certified periodontists (mean accuracy: 88.56%) showed higher average accuracy than did the DL algorithm, and dentists not specialized in implantology (mean accuracy: 77.83%) showed the largest improvement, reaching an average accuracy similar to that of the algorithm (mean accuracy: 80.56%). Conclusions: The automated DL algorithm classified DISs with accuracy and performance comparable to those of board-certified periodontists, and it may be useful for dental professionals for the classification of various types of DISs encountered in clinical practice.