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Hasil Pencarian

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Namira Khairiyah
"Pendahuluan: Pengukuran parameter sefalometri lateral adalah bagian penting dalam perencanaan perawatan ortodonti. Pengukuran metode konvensional dilakukan secara manual, namun teknik ini memakan waktu. Metode digital dapat dilakukan menggunakan aplikasi yang saat ini semakin banyak dikembangkan dan disebarluaskan seperti aplikasi OrthoCeph yang dapat digunakan secara semi-otomatis dan aplikasi WebCeph secara otomatis dan semi otomatis. Dokter gigi dapat menggunakan aplikasi tersebut pada smartphone ataupun web agar lebih efisien dengan memastikan adanya keakuratan antara pengukuran pada radiografi sefalometri metode digital dan metode konvensional sebagai gold standard. Tujuan: Penelitian ini bertujuan untuk mengetahui dan menganalisis perbedaan pengukuran parameter sefalometri lateral (skeletal, dental, dan jaringan lunak) antara metode digital (OrthoCeph dan WebCeph) dengan konvensional. Metode: Radiografi sefalometri lateral dari 36 subjek penelitian didapatkan sesuai kriteria inklusi. Terdapat 14 parameter skeletal, dental, dan jaringan lunak sefalometri lateral yang dianalisis. Uji paired t-test digunakan untuk menguji perbedaan antar metode. Interclass correlation coefficient (ICC) dan Bland-Altman plot digunakan untuk menguji reliabilitas antar metode. Hasil: tidak terdapat perbedaan secara statistik antara metode digital OrthoCeph dan konvensional pada sebagian besar parameter pengukuran parameter sefalometri lateral, antara lain SNB, ANB, SNOP, SNMP, LINB Angular, dan II (p≥0,05). Terdapat perbedaan secara statistik pada parameter SNA, UINA Angular, UINA Linear, LINB Linear, S-Line Ls dan Li (p<0,05). Terdapat perbedaan secara statistik antara metode digital WebCeph dan konvensional pada seluruh parameter (p≥0,05) kecuali E-Line Li (p<0,05). Terdapat perbedaan secara statistik antara metode OrthoCeph dengan WebCeph pada seluruh parameter (p<0,05). Sebagian besar parameter menunjukkan kesepakatan baik hingga hampir sempurna antar metode (ICC≥0.61). Kesimpulan: Sebagian besar parameter menunjukkan perbedaan yang signifikan. Penggunaan OrthoCeph dan WebCeph masih diperlukan penyempurnaan.

Introduction: Measurement of lateral cephalometric parameters is an important part of orthodontic treatment planning. Conventional measurement methods are performed manually, but this technique is time-consuming. Digital methods can be performed using applications that are currently being increasingly developed and disseminated, such as the OrthoCeph application which can be used semi-automatically and the WebCeph application both automatically and semi-automatically. Dentists can use these applications on smartphones or the web to be more efficient by ensuring accuracy between measurements on digital cephalometric radiography and conventional methods as the gold standard. Objective: This study aims to determine and analyze the differences in lateral cephalometric parameter measurements (skeletal, dental, and soft tissue) between digital methods (OrthoCeph and WebCeph) and conventional methods. Method: Lateral cephalometric radiographs from 36 research subjects were obtained according to inclusion criteria. There are 14 skeletal, dental, and soft tissue lateral cephalometric parameters that were analyzed. Paired t-test was used to test the differences between methods. Interclass correlation coefficient (ICC) and Bland-Altman plot were used to test the reliability between methods. Results: There were no statistically significant differences between the digital method OrthoCeph and conventional method in most lateral cephalometric parameter measurements, including SNB, ANB, SNOP, SNMP, LINB Angular, and II (p≥0.05). There were statistically significant differences in the SNA, UINA Angular, UINA Linear, LINB Linear, S-Line Ls, and Li parameters (p<0.05). There were statistically significant differences between the digital method WebCeph and conventional method in all parameters (p≥0.05) except for E-Line Li (p<0.05). There were statistically significant differences between the OrthoCeph method and WebCeph in all parameters (p<0.05). All parameters showed good to almost perfect agreement between methods (ICC≥0.61). Conclusion: Most parameters show significant differences. The use of OrthoCeph and WebCeph still requires refinement."
Jakarta: Fakultas Kedokteran Gigi Universitas Indonesia, 2025
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UI - Skripsi Membership  Universitas Indonesia Library
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Vashist, Sandeep Kumar
"This book describes the emerging point-of-care (POC) technologies that are paving the way to the next generation healthcare monitoring and management. It provides the readers with comprehensive, up-to-date information about the emerging technologies, such as smartphone-based mobile healthcare technologies, smart devices, commercial personalized POC technologies, paper-based immunoassays (IAs), lab-on-a-chip (LOC)-based IAs, and multiplex IAs. The book also provides guided insights into the POC diabetes management software and smart applications, and the statistical determination of various bioanalytical parameters. Additionally, the authors discuss the future trends in POC technologies and personalized and integrated healthcare solutions for chronic diseases, such as diabetes, stress, obesity, and cardiovascular disorders. Each POC technology is described comprehensively and analyzed critically with its characteristic features, bioanalytical principles, applications, advantages, limitations, and future trends. This book would be a very useful resource and teaching aid for professionals working in the field of POC technologies, in vitro diagnostics (IVD), mobile healthcare, Big Data, smart technology, software, smart applications, biomedical engineering, biosensors, personalized healthcare, and other disciplines.
Acts as an up-to-date resource to emerging POC technologies;
Provides readers with extensive knowledge, competence, and analytical skills in POC technologies, mobile healthcare, and clinical diagnostics;
Explains future trends in POC technologies and personalized and integrated healthcare solutions for chronic diseases."
Switzerland: Springer Nature, 2019
e20509370
eBooks  Universitas Indonesia Library