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Aug 17, 2022
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Abstract
Paranasal sinus radiography is an appropriate method for showing abnormalities in the paranasal sinuses and showing abnormalities in suspected Maxillary Sinusitis. The purpose of this examination is to determine the location and location of sinusitis by obtaining an optimal picture with radiographic examination of the paranasal sinuses. This research was conducted at the Radiology Installation of the University of North Sumatra-Medan Hospital. Using a general X-ray unit with an aircraft capacity of 1100 mA in February 2022 - May 2022, with a qualitative descriptive research type. To show the anatomical description and pathological abnormalities in the paranasal sinuses, especially maxillary sinuses, parietoacanthia (water's method) and lateral projections are used. The results of the examination showed that there was Sinusitis Maxillaris Sinistra and a suspected Sinusitis Ethmoidalis Sinistra.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Sidauruk, J. L., & Tarigan, L. (2022). Radiography Of The Paranasal Sinus With Maxial Sinusitis In North Sumatra-Medan University Hospital. International Journal of Multidisciplinary: Applied Business and Education Research, 3(8), 1583-1588. https://doi.org/10.11594/ijmaber.03.08.21
References
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Murata, M., Ariji, Y., Ohashi, Y., Kawai, T., Fukuda, M., Funakoshi, T., Kise, Y., Nozawa, M., Katsumata, A., & Fujita, H. (2019). Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography. Oral Radiology, 35(3), 301–307.
Serindere, G., & Aktuna Belgin, C. (2020). An evaluation of the relationship between maxillary sinus anterior wall depression and maxillary sinus opacity by computed tomography and panoramic radiography. Oral Radiology, 36(4), 383–388.
Sheikh, N. N., Ashwinirani, S. R., Suragimath, G., & Kumar, K. M. S. (2018). Evaluation of gender based on the size of maxillary sinus and frontal sinus using paranasal sinus view radiographs in Maharashtra population, India. Journal of Oral Research and Review, 10(2), 57.
Shrestha, M. K., Ghartimagar, D., Ghosh, A., & Jhunjhunwala, A. K. (2020). Sensitivity of sinus radiography compared to computed tomogram: a descriptive cross-sectional study from western region of Nepal. JNMA: Journal of the Nepal Medical Association, 58(224), 214.
Starkey, J. L., & Mortman, R. E. (2019). Treatment of maxillary sinusitis of odontogenic origin: a case series. Compendium, 40(8).
Terlemez, A., Tassoker, M., Kizilcakaya, M., & Gulec, M. (2019). Comparison of cone-beam computed tomography and panoramic radiography in the evaluation of maxillary sinus pathology related to maxillary posterior teeth: Do apical lesions increase the risk of maxillary sinus pathology? Imaging Science in Dentistry, 49(2), 115–122.
Zhou, W., Wang, F., Magic, M., Zhuang, M., Sun, J., & Wu, Y. (2021). The effect of anatomy on osteogenesis after maxillary sinus floor augmentation: a radiographic and histological analysis. Clinical Oral Investigations, 25(9), 5197–5204.
Cappello, Z. J., Minutello, K., & Dublin, A. B. (2018). Anatomy, head and neck, nose paranasal sinuses.
Dave, M., Loughlin, A., Walker, E., & Davies, J. (2020). Challenges in plain film radiographic diagnosis for the dental team: a review of the maxillary sinus. British Dental Journal, 228(8), 587–594.
Fenner, M. F., Verwilghen, D., Townsend, N., Simhofer, H., Schwarzer, J., Zani, D. D., & Bienert‐Zeit, A. (2019). Paranasal sinus cysts in the horse: Complications related to their presence and surgical treatment in 37 cases. Equine Veterinary Journal, 51(1), 57–63.
Huang, Z., Xu, H., Xiao, N., Li, Y., Dong, Y., Li, Y., & Zhou, B. (2019). Predictive significance of radiographic density of sinus opacity and bone thickness in unilateral maxillary sinus mycetoma. ORL, 81(2–3), 111–120.
Idugboe, O. J., Otoghile, B., Musa, I. O., & Adeosun, A. A. (2018). Chronic rhinosinusitis: the correlation between symptom severity score and findings on plain radiographs of the paranasal sinuses. International Journal of Otorhinolaryngology and Head and Neck Surgery, 4(1), 5.
Jeon, Y., Lee, K., Sunwoo, L., Choi, D., Oh, D. Y., Lee, K. J., Kim, Y., Kim, J.-W., Cho, S. J., & Baik, S. H. (2021). Deep learning for diagnosis of paranasal sinusitis using multi-view radiographs. Diagnostics, 11(2), 250.
Kim, H.-G., Lee, K. M., Kim, E. J., & San Lee, J. (2019). Improvement diagnostic accuracy of sinusitis recognition in paranasal sinus X-ray using multiple deep learning models. Quantitative Imaging in Medicine and Surgery, 9(6), 942.
Kim, Y., Lee, K. J., Sunwoo, L., Choi, D., Nam, C.-M., Cho, J., Kim, J., Bae, Y. J., Yoo, R.-E., & Choi, B. S. (2019). Deep learning in diagnosis of maxillary sinusitis using conventional radiography. Investigative Radiology, 54(1), 7–15.
Kuwana, R., Ariji, Y., Fukuda, M., Kise, Y., Nozawa, M., Kuwada, C., Muramatsu, C., Katsumata, A., Fujita, H., & Ariji, E. (2021). Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs. Dentomaxillofacial Radiology, 50(1), 20200171.
Lim, S.-H., Kim, J. H., Kim, Y. J., Cho, M. Y., Jung, J. U., Ha, R., Jung, J. H., Kim, S. T., & Kim, K. G. (2022). Aux-MVNet: Auxiliary Classifier-Based Multi-View Convolutional Neural Network for Maxillary Sinusitis Diagnosis on Paranasal Sinuses View. Diagnostics, 12(3), 736.
Little, R. E., Long, C. M., Loehrl, T. A., & Poetker, D. M. (2018). Odontogenic sinusitis: A review of the current literature. Laryngoscope Investigative Otolaryngology, 3(2), 110–114.
Mori, M., Ariji, Y., Katsumata, A., Kawai, T., Araki, K., Kobayashi, K., & Ariji, E. (2021). A deep transfer learning approach for the detection and diagnosis of maxillary sinusitis on panoramic radiographs. Odontology, 109(4), 941–948.
Murata, M., Ariji, Y., Ohashi, Y., Kawai, T., Fukuda, M., Funakoshi, T., Kise, Y., Nozawa, M., Katsumata, A., & Fujita, H. (2019). Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography. Oral Radiology, 35(3), 301–307.
Serindere, G., & Aktuna Belgin, C. (2020). An evaluation of the relationship between maxillary sinus anterior wall depression and maxillary sinus opacity by computed tomography and panoramic radiography. Oral Radiology, 36(4), 383–388.
Sheikh, N. N., Ashwinirani, S. R., Suragimath, G., & Kumar, K. M. S. (2018). Evaluation of gender based on the size of maxillary sinus and frontal sinus using paranasal sinus view radiographs in Maharashtra population, India. Journal of Oral Research and Review, 10(2), 57.
Shrestha, M. K., Ghartimagar, D., Ghosh, A., & Jhunjhunwala, A. K. (2020). Sensitivity of sinus radiography compared to computed tomogram: a descriptive cross-sectional study from western region of Nepal. JNMA: Journal of the Nepal Medical Association, 58(224), 214.
Starkey, J. L., & Mortman, R. E. (2019). Treatment of maxillary sinusitis of odontogenic origin: a case series. Compendium, 40(8).
Terlemez, A., Tassoker, M., Kizilcakaya, M., & Gulec, M. (2019). Comparison of cone-beam computed tomography and panoramic radiography in the evaluation of maxillary sinus pathology related to maxillary posterior teeth: Do apical lesions increase the risk of maxillary sinus pathology? Imaging Science in Dentistry, 49(2), 115–122.
Zhou, W., Wang, F., Magic, M., Zhuang, M., Sun, J., & Wu, Y. (2021). The effect of anatomy on osteogenesis after maxillary sinus floor augmentation: a radiographic and histological analysis. Clinical Oral Investigations, 25(9), 5197–5204.