Medical phantom of the knee joint for computed tomography studies
- 作者: Belyakova E.D.1, Nasibullina A.A.1, Bulgakova J.V.1, Vlasova O.V.1, Grebennikova V.V.1, Omelyanskaya O.V.1, Petraikin A.V.1, Leonov D.V.1
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							隶属关系: 
							
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
 
 - 期: 卷 5, 编号 1S (2024)
 - 页面: 115-117
 - 栏目: 青年科学家的文章
 - URL: https://bakhtiniada.ru/DD/article/view/261116
 - DOI: https://doi.org/10.17816/DD627089
 - ID: 261116
 
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BACKGROUND: The knee joint is a frequently visualized anatomical region in clinical practice. Accurate interpretation of CT scans necessitates a comprehensive understanding of anatomy and a sound grasp of fundamental technical principles and imaging protocols. To safeguard the patient's well-being, it is of paramount importance to prevent erroneous studies resulting from suboptimal equipment quality, setup issues, and patient positioning. These difficulties can be circumvented by the use of phantoms to pre-adjust the equipment and the provision of training to medical staff in scanning techniques.
AIM: The aim of the study was to develop a technique for creating an anthropomorphic medical phantom of the knee joint that would accurately reflect the X-ray density of the corresponding human tissues, thus enabling the use of computed tomography studies.
MATERIALS AND METHODS: The knee joint phantom comprises a series of models representing the femur, tibia, fibula, patella, collateral ligaments, lateral and medial menisci, tendon of the quadriceps femoris muscle, anterior and posterior cruciate ligaments, and patellar ligament. Ligament models were 3D-printed from resin, bones were cast from silicone, soft tissues were modeled with a homogeneous structure of silicone-like materials and made by casting into silicone molds. The skin was similarly modeled. In the study, the anode voltage range of the CT scanner varied from 80 to 140 kV, and the slice thickness was equal to 1.25 mm.
RESULTS: The developed anthropomorphic knee joint phantom demonstrated the X-ray density of the modeled anatomical structures, with ligaments exhibiting a range of 80–120 units on the Hausfield scale, bones exhibiting a range of 320–370 units, and soft tissues and skin exhibiting a range of 20–60 units. The use of additive technologies made it possible to achieve a high degree of similarity between the phantom forms and the knee joint. Further research may be directed towards the creation of a more complex model of bone tissue, comprising a separate cortical layer and spongy substance.
CONCLUSIONS: The use of an anthropomorphic knee phantom allows for the acquisition of high-quality CT images without the need for prior scanning of patients.
作者简介
Ekaterina Belyakova
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: belyakova_e_d@student.sechenov.ru
				                	ORCID iD: 0009-0009-0316-0628
				                																			                												                	俄罗斯联邦, 							Moscow						
Anastasia Nasibullina
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: NasibullinaAA@zdrav.mos.ru
				                	ORCID iD: 0000-0003-1695-7731
				                	SPIN 代码: 2482-3372
																		                												                	俄罗斯联邦, 							Moscow						
Julia Bulgakova
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: BulgakovaYV@zdrav.mos.ru
				                	ORCID iD: 0000-0002-1627-6568
				                	SPIN 代码: 8945-6205
																		                												                	俄罗斯联邦, 							Moscow						
Olga Vlasova
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
							编辑信件的主要联系方式.
							Email: VlasovaOV10@zdrav.mos.ru
				                	ORCID iD: 0000-0002-4211-9566
				                	SPIN 代码: 4492-3864
																		                												                	俄罗斯联邦, 							Moscow						
Veronika Grebennikova
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: GrebennikovaVV@zdrav.mos.ru
				                	ORCID iD: 0009-0003-6041-132X
				                	SPIN 代码: 4949-1057
																		                												                	俄罗斯联邦, 							Moscow						
Olga Omelyanskaya
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: OmelyanskayaOV@zdrav.mos.ru
				                	ORCID iD: 0000-0002-0245-4431
				                	SPIN 代码: 8948-6152
																		                												                	俄罗斯联邦, 							Moscow						
Alexey Petraikin
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: alexeypetraikin@gmail.com
				                	ORCID iD: 0000-0003-1694-4682
				                	SPIN 代码: 6193-1656
																		                								
MD, Dr. Sci. (Med.)
俄罗斯联邦, MoscowDenis Leonov
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
														Email: LeonovDV2@zdrav.mos.ru
				                	ORCID iD: 0000-0003-0916-6552
				                	SPIN 代码: 5510-4075
																		                								
Cand. Sci. (Tech.)
俄罗斯联邦, Moscow参考
- Kapisiz A, Kaya C, Eryilmaz S, et al. Letter to the Editor in Response to: Reducing Unnecessary Computed Tomography Scan. Journal of pediatric surgery. 2023;58(7):1402. doi: 10.1016/j.jpedsurg.2023.02.048
 - Hernandez AM, Bayne CO, Bateni C, et al. Extremity radiographs derived from low-dose ultra-high-resolution CT: a phantom study. Skeletal Radiol. 2024. doi: 10.1007/s00256-024-04600-y
 - Leonov D, Venidiktova D, Costa-Júnior JFS, et al. Development of an anatomical breast phantom from polyvinyl chloride plastisol with lesions of various shape, elasticity and echogenicity for teaching ultrasound examination. Int J CARS. 2023;19:151–161. doi: 10.1007/s11548-023-02911-4
 - Leonov D, Kodenko M, Leichenco D, Nasibullina A, Kulberg N. Design and validation of a phantom for transcranial ultrasonography. Int J Comput Assist Radiol Surg. 2022;17:1579–1588. doi: 10.1007/s11548-022-02614-2
 
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