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All Journal Dentika Dental Journal Dental Journal (Majalah Kedokteran Gigi) Padjadjaran Journal of Dentistry Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat B-Dent, Jurnal Kedokteran Gigi Universitas Baiturrahmah Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Interdental Jurnal Kedokteran Gigi (IJKG) Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI)
Cek Dara Manja
Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Dentistry Energy Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences

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ANALYSIS OF GONIAL ANGLE VARIATIONS IN BATAKNESE INDIVIDUALS BASED ON GENDER AND DENTAL CONDITION USING PANORAMIC RADIOGRAPHY Manja, Cek Dara; Wahyuni, Siti; Kartika, Dewi; Astrina, Ika; Putri, Asyuni
B-Dent: Jurnal Kedokteran Gigi Universitas Baiturrahmah Vol. 12 No. 2 (2025): Vol 12 No 2 (December 2025)
Publisher : Universitas Baiturrahmah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33854/jbd.v12i2.1897

Abstract

Introduction: Panoramic radiography provides a comprehensive view of the jaws and is valuable for assessing mandibular morphology, including the gonial angle. Aim: This study aimed to analyze differences in the gonial angle related to dental status and gender within a Bataknese population. Method: An observational analytical study was conducted from June 2022 to July 2023. A total of 120 panoramic radiographs from Bataknese individuals were collected via purposive sampling at the Dental Radiology Installation of the Dental Hospital, Universitas Sumatera Utara, and the Pramita Medan Clinic Laboratory. The sample comprised 60 dentate subjects (control group) and 60 partially edentulous subjects. The gonial angle was measured on each radiograph. Data were analyzed using descriptive statistics and independent samples t-tests, with statistical significance set at p < 0.05. Results: The mean gonial angle in partially edentulous men was 119.942°, compared to 123.367° in women. In the dentate group, the mean angle was 117.497° for men and 121.335° for women. Women had a larger angle than men in both groups. However, no statistically significant difference was found between genders within the partially edentulous group, or between dentate and partially edentulous subjects when analyzed separately by gender. Conclusion: Partial tooth loss was associated with a larger gonial angle in this Bataknese sample, and angles were consistently greater in women. Gender alone did not show a significant effect within the partially edentulous condition.
An examination of CBCT results for ectopic cuspid impaction: a case report Manja, Cek Dara
Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) Vol. 10 No. 1 (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.v10i1.1499

Abstract

Objectives: This case report aims to examine the image of an ectopic canine impaction using cone beam computed tomography (CBCT). Case Report: A 23-year-old man came to our hospital with complaints of irregular, spaced teeth and a protruding sensation in his gums. There was no history of systemic disease. CBCT examination was performed. Multiplanar reconstruction showed the position of the impacted canine tooth with the crown facing labially and the root facing palatally. The position of the canine tooth caused the crown and root to penetrate the buccal and palatal cortical bone surfaces. Conclusion: CBCT 3D effectively assesses the position of the impacted canine tooth, including its crown and root, and evaluates its relationship with surrounding structures. This assessment is crucial for determining treatment prognosis, as conventional radiography may misinterpret the tooth's position.
Difference of mandibular trabecular bone fractal dimension values on panoramic radiographs of vegetarians and nonvegetarians in Medan City Dewi Kartika; Cek Dara Manja; Pitu Wulandari; Salamatusshodri; Herlina Sidabutar
Dental Journal (Majalah Kedokteran Gigi) Vol. 58 No. 4 (2025): December
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/j.djmkg.v58.i4.p347-354

Abstract

Background: Vegetarians are known to be more susceptible to experiencing bone mineral density decreases compared to nonvegetarians. The trabecular bone is sensitive to any changes that disrupt the balance of bone metabolism. On panoramic radiographs, bone density can be evaluated by analyzing the fractal dimensions (FD) of the mandibular trabecular bone. Purpose: This analytical cross-sectional study aimed to assess the mandibular trabecular bone FD values on panoramic radiographs of vegetarians and nonvegetarians in Medan City. Methods: This study used a purposive-sampling technique and obtained 30 digital panoramic radiographs of vegetarians and nonvegetarians in Medan City, aged 20 to 40 years, between January and February 2023, at the radiology installation of Dental and Oral Hospital Universitas Sumatera Utara and Laboratory Clinic Pramita Medan. Fractal analysis was performed using ImageJ 1.54c software with the box-counting method. The data distribution was assessed using the Shapiro–Wilk test. The data were analyzed using an independent samples T-test. Results: The results showed that the FD values of the mandibular trabecular bone were significantly different between the two groups (p = 0.000). Conclusion: The mean FD values on the panoramic radiographs were lower in the vegetarian mandibular trabecular bone than in the nonvegetarian mandibular trabecular bone. Considerations need to be made by dentists when performing treatments related to mandibular trabecular bone surgery in vegetarians.
Detection Performance of an Artificial Intelligence Model in Identifying Anatomical Landmarks on Dental Panoramic Radiographs Cek Dara Manja; Sheilla Suhaila Matondang; Abraham Josua Sinaga; Teruna Tegar Matondang
Dentika: Dental Journal Vol. 29 No. 1 (2026): Dentika: Dental Journal
Publisher : TALENTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dentika.v29i1.25472

Abstract

Manual identification of panoramic radiographs has limitations due to distortion, superimposition, and individual anatomical variations, so more objective supporting technology such as artificial intelligence (AI) is needed. The purpose of this study was to determine the level of AI detection performance in determining anatomical landmarks in panoramic radiographs. This descriptive study used a purposive sampling method. A total sample of 653 radiographs was used. The radiographs were labeled at nine anatomical landmarks and then analyzed using the YOLOv8 deep learning algorithm. The level of AI detection performance was evaluated using precision, sensitivity (recall), and F1-Score parameters in percentage form. The results showed variations in the level of AI detection performance for each anatomical landmark. The highest detection performance was in the condyloid process, while the mental foramen showed the lowest detection performance. In conclusion, AI shows a high level of detection performance in determining anatomical structures in the jaw and this can be used to assist clinicians in detecting the presence of these anatomical structures.  
Co-Authors Abkharina, Shanaya Abraham Josua Sinaga Amrin Thahir Astrina, Ika Dewi Kartika Dewi Kartika Fitri Yunita Batubara, Fitri Yunita Gian Mubarani Harahap, Kholidina Imanda Heliza, Vini Herlina Sidabutar Kartia, Dewi Kartika Lidya Irani Nainggolan, Lidya Irani Lim Yu Xiang Malfi Tunruan Makkelo Nasution, Rini Octavia Pitu Wulandari Putri, Asyuni Rizky Gusti MS Salam, Ummu Mahfuzah Nur Salamatusshodri Saragih, Sonia Ayunita Shanaya Abkharina Sheilla Suhaila Matondang Sheilla Suhaila Matondang Siregar, Yudha Syah Agung Sitanggang, Maria NH Siti Amaliyah Siti Amaliyah, Siti Siti Wahyuni Teruna Tegar Matondang Trelia Boel, Trelia