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All Journal MKGK (Majalah Kedokteran Gigi Klinik) (Clinical Dental Journal) UGM Majalah Kedokteran Gigi Indonesia ODONTO Dental Journal Journal of Indonesian Dental Association Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Makara Journal of Health Research Odonto dental journal
Hanna H. Bachtiar Iskandar, Hanna H. Bachtiar
Department Of Dentomaxillofacial Radiology, Faculty Of Dentistry, Universitas Indonesia, Jakarta
Dentistry Energy Health Professions Medicine & Pharmacology Physics

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Cone-Beam Computed Tomography Accuracy for Morphological and Morphometric Evaluation of Mandibular Condyles Using Small FOV and Small Voxel Size Arifin, Sariyani Pancasari Audry; Kiswanjaya, Bramma; Priaminiarti, Menik; Iskandar, Hanna H. Bachtiar
Journal of Indonesian Dental Association Vol 6 No 1 (2023): April
Publisher : Indonesian Dental Association

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The objective of this study is to evaluate the accuracy of cone beam computed tomography (CBCT) in determining and visualizing the morphology and morphometry of the mandibular condyle. Narrative reviews with article searches were carried out through NCBI's PubMed database and Scopus from September 2021–October 2021, with the inclusion criteria articles published in 2011–2021. The temporomandibular joint (TMJ) has a crucial role and is closely related to the masticatory system. The diagnosis of temporomandibular disorder (TMD) is not easy and is complex enough to require a comprehensive clinical and radiographic examination. Pathological changes such as erosion of the condyle, fracture, ankylosis, dislocation, and osteophyte can be well seen using CBCT imaging. CBCT images obtained with smaller field of view (FOV) have smaller a voxel size and a higher image resolution. FOV or scan volume refers to the anatomical area that will be included in the data volume or the area of the patient that will be irradiated. The dimension of FOV depends on the detector size and shape, the beam projection geometry, and the ability to collimate the beam. Voxel size is an important component of image quality, related to both the pixel size and the image matrix. Selection of small FOV and small voxel size is recommended because they provide better visualization and detail for the evaluation of morphology and morphometry of the condyle, especially the detection of erosion and defects on the condyle surface.
Accuracy of digital image processing in radiographic early caries detection Priaminiarti, Menik; Atmadja, Giovanni; Saraswati, Inka; Iskandar, Hanna Huzaima Bachtiar
Majalah Kedokteran Gigi Indonesia Vol 11, No 2 (2025): August
Publisher : Faculty of Dentistry, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/majkedgiind.108937

Abstract

Tooth surface with early caries lesion can remineralize into sound tooth surface with early intervention. However, early caries lesion is difficult to detect and frequently goes unnoticed during clinical or radiographic examinations. Image quality enhancement through imaging tools such as filters has the potential to increase the accuracy of early caries lesion detection. To compare the accuracy of original radiographic images to enhanced images with filters on digital dental x-ray for detection of early caries lesions. Five working models were utilized, containing 42 sound tooth surfaces, and 36 surfaces with early caries lesions. Radiographic images were takenusing Vistascan storage phosphor plate system (Dürr Dental, Germany) and enhanced with Fine, Caries 1, Caries 2, and High Diagnostic (HD) filters. Original and enhanced radiographic images were assessed by three observers to record the presence or absence of early caries lesions. Sensitivity, specificity, and overall accuracy were calculated. Sensitivity of HD and Fine filter images were significantly higher (p < 0.05), but Caries 1 and Caries 2 images did not differ significantly from the original images (p > 0.05). There was no significant difference between the specificity of original filter images and filter enhanced images. The overall accuracy of original filter images and filter enhanced images increased significantly only on HD filter (p < 0.05). HD filter had significantly higher overall accuracy than the original images.In addition, it showed the highest sensitivity, specificity, and overall accuracy. Therefore, some filters may be used to enhance early caries lesion detection.
Cone-Beam Computed Tomography Accuracy for Morphological and Morphometric Evaluation of Mandibular Condyles Using Small FOV and Small Voxel Size Sariyani Pancasari Audry Arifin; Bramma Kiswanjaya; Menik Priaminiarti; Hanna H. Bachtiar Iskandar
Journal of Indonesian Dental Association Vol. 6 No. 1 (2023): April
Publisher : Indonesian Dental Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32793/jida.v6i1.878

Abstract

The objective of this study is to evaluate the accuracy of cone beam computed tomography (CBCT) in determining and visualizing the morphology and morphometry of the mandibular condyle. Narrative reviews with article searches were carried out through NCBI's PubMed database and Scopus from September 2021–October 2021, with the inclusion criteria articles published in 2011–2021. The temporomandibular joint (TMJ) has a crucial role and is closely related to the masticatory system. The diagnosis of temporomandibular disorder (TMD) is not easy and is complex enough to require a comprehensive clinical and radiographic examination. Pathological changes such as erosion of the condyle, fracture, ankylosis, dislocation, and osteophyte can be well seen using CBCT imaging. CBCT images obtained with smaller field of view (FOV) have smaller a voxel size and a higher image resolution. FOV or scan volume refers to the anatomical area that will be included in the data volume or the area of the patient that will be irradiated. The dimension of FOV depends on the detector size and shape, the beam projection geometry, and the ability to collimate the beam. Voxel size is an important component of image quality, related to both the pixel size and the image matrix. Selection of small FOV and small voxel size is recommended because they provide better visualization and detail for the evaluation of morphology and morphometry of the condyle, especially the detection of erosion and defects on the condyle surface.
Radiomorphometric and fractal dimension examination in assessing the relationship to diabetes mellitus patients with panoramic Ahmad Syafik; Bramma Kiswanjaya; Hanna Bachtiar Iskandar; Menik Priaminiarti
Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Vol. 10 No. 2 (2026): Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI)
Publisher : Ikatan Radiologi Kedokteran Gigi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32793/jrdi.v10i2.1421

Abstract

Objectives: This research aims to investigate how Diabetes Mellitus relates to the shapes seen in mandibular X-rays. Fractal analysis can be used to examine variations in bone structure and to determine whether panoramic radiography is a beneficial screening technique for osteoporosis in people with diabetes. Review: This investigation is a thorough review of existing literature conducted from August to September 2024, adhering to PRISMA guidelines. Research articles were gathered from PubMed, Scopus, Elsevier, and DOAJ databases, focusing on terms related to diabetes, radiomorphometry, and fractal analysis. The articles included were published between 2015 and 2024, in English, open-access, and relevant to using panoramic radiography or CBCT for identifying changes in bone due to DM. Initially, 860 articles were found, but after screening, only three cross-sectional studies met all the criteria. The analysis of these studies indicated that individuals with diabetes had lower scores on radiomorphometric measures such as the Mental Index (MI), Antegonial Index (AI), and Gonial Index (GI) should be consulted as a group when compared to measurements from healthy individuals. The Mandibular Cortical Index (MCI) was observed to have a negative correlation with bone mineral density in individuals diagnosed with type 2 diabetes.   Furthermore, fractal evaluation revealed a decline in the trabecular bone architecture of individuals with diabetes type 1 diabetes, showing that DM negatively impacts the shape and structural quality of bones. Radiographic panoramas indicate that they might be an effective screening method for assessing osteoporosis risk in diabetics, and they can also demonstrate changes in the structure of the mandible. Conclusion: These outcomes point to the necessity for more research utilizing larger groups of participants and prospective study frameworks to more clearly define the connection between DM and changes in bone structure with Panoramic.
Co-Authors Ahmad Syafik Arifin, Sariyani Pancasari Audry Atmadja, Giovanni Bramma Kiswanjaya Bramma Kiswanjaya Efie Mariyam Nursari Efie Mariyam Nursari Eva Fauziah Fatimah Tadjoedin Fitriananda, Aulia Karina Inka Saraswati Lidya Irani Nainggolan, Lidya Irani Menik Priaminiarti Menik Priaminiarti Mochamad Fahlevi Rizal Mustafa, Resky Resky Mustafa Rizal, Rezki Viona Sariyani Pancasari Audry Arifin Syahraini, Syurri Innaddinna Syurri Innaddinna Syahraini Vera Julia