复杂的诊断和预测颞下颌关节疾病的应用髁突摄影。

Q4 Medicine
Zinovii Ozhogan, Andrii Krokhmal, Lidiia Miziuk, Vasyl Obidniak, Roman Ozhohan
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引用次数: 0

摘要

目的:通过对颞下颌关节的一套指标进行评估,制定病程预测算法,并优化患者的牙科护理方案,提高对颞下颌关节疾病的诊断效率。患者与方法:材料与方法:对470例年龄18-76(33±12.9)岁的颞下颌关节病变患者进行临床回顾性横断面比较研究。综合检查包括:咀嚼肌触诊、颞下颌关节、髁突摄影、计算机断层摄影、远程放射摄影、咬合摄影、下颌活动分析、关节器颌部建模,并采用标准方法对数据进行逻辑和统计处理(结果:对颞下颌关节疾病患者的诊断和治疗方法的分析使我们能够建立数学预后模型,并提出一个考虑到病理发展和过程的具体检查计划。建立了基于复杂临床、髁状和关节方法的颞下颌关节疾病病程预测算法,提高了患者的牙科护理水平。结论:提出了一种改进的诊断程序,使用数学模型(Wald’s序列分析方法)来评估颞下颌关节疾病进展的可能性。进一步的研究将集中在扩展原始数据库,改进数学模型,测试个性化预后算法和评估其临床效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complex diagnostics and prognostication of temporomandibular joints diseases using condylography.

Objective: Aim: To increase the efficiency of diagnosing diseases of the temporomandibular joint by assessing a set of condylographic indicators and developing prognostic algorithms for the course and an optimized program of dental care for patients.

Patients and methods: Materials and Methods: A clinical retrospective cross-sectional comparative study was conducted with the participation of 470 patients with temporoman-dibular joint pathology aged 18-76 (33 ± 12.9) years. The comprehensive examination included palpation of the masticatory muscles and temporomandibular joint, condylography, computed tomography, teleradiography, occlusiography, analysis of mandibular mobility, modeling of the jaws in the articulator, as well as logical and statistical data processing using standard methods (p<0.05).

Results: Results: The analysis of diagnostic and therapeutic approaches to patients with temporomandibular joint diseases allowed us to develop mathematical prognostic models and propose an examination program that takes into account the specifics of the development and course of the pathology. The algorithms for predicting the course of temporomandibular joint diseases based on complex clinical, condylographic and articulation methods were substantiated, which allowed to improve the dental care of patients.

Conclusion: Conclusions: A modified program for diagnosing patients with the use of mathematical modeling (Wald's method of sequential analysis) was proposed to assess the probability of progression of temporomandibular joint diseases. Further research will focus on expanding the primary data base, improving mathematical models, testing individualized prognostic algorithms and evaluating their clinical effectiveness.

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来源期刊
Wiadomosci lekarskie
Wiadomosci lekarskie Medicine-Medicine (all)
CiteScore
0.80
自引率
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发文量
482
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