37 research outputs found

    ΠŸΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ рСконструкции Ρ‡Π΅Π»ΡŽΡΡ‚Π½ΠΎ-Π»ΠΈΡ†Π΅Π²ΠΎΠΉ области свободным рСваскуляризированным ΠΌΠ°Π»ΠΎΠ±Π΅Ρ€Ρ†ΠΎΠ²Ρ‹ΠΌ аутотрансплантатом: ΠΏΡ€ΠΎΡˆΠ»ΠΎΠ΅, настоящСС, Π±ΡƒΠ΄ΡƒΡ‰Π΅Π΅. Π›ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹ΠΉ ΠΎΠ±Π·ΠΎΡ€

    Get PDF
    The purpose of the study was to search for data on the evolution of virtual planning of reconstruction with a fibular graft.Material and Methods. A literature search was carried out in Scopus, RSCI databases in the time interval from 1975 to 2021 using the keywords: β€œcomputer”, β€œsurgery”, β€œfacial”, β€œmicrosurgery”, β€œfibula”, β€œimplant”, β€œfibular flap”, β€œplanning”.Results. Various planning techniques with a description of technical features and estimation of advantages and disadvantages as well as methods of minimizing errors and reducing the time spent on the modeling with an improvement in functional and aesthetic outcomes were discussed. Surgical workflows of robot-assisted osteotomies of a fibular graft were described. Complications, difficulties, and the financial aspect of fibula free flap maxillofacial reconstructions were assessed.Conclusion. Virtual planning of microsurgical reconstructions using a fibular graft reduces operating time. The accuracy of graft fixation is increased and diastases between the osteotomy lines as well as between the native jaw and the graft are decreased. Planning allows surgeons to improve symmetry or keep it in the original form, thus affecting the aesthetic aspect and emotional state of the patient. Virtual planning requires certain financial costs, but the wide range of benefits should convince the professionals to use it as often as possible. ЦСлью исслСдования явился поиск Π΄Π°Π½Π½Ρ‹Ρ… ΠΎ становлСнии ΠΈ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ планирования рСконструкций с использованиСм ΠΌΠ°Π»ΠΎΠ±Π΅Ρ€Ρ†ΠΎΠ²ΠΎΠ³ΠΎ трансплантата.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Поиск Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ проводился Π² ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΡ… Π±Π°Π·Π°Ρ… Π΄Π°Π½Π½Ρ‹Ρ…: Scopus, РИНЦ. Π‘Ρ‹Π»ΠΈ Π½Π°ΠΉΠ΄Π΅Π½Ρ‹ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ с 1975 ΠΏΠΎ 2021 Π³. Поиск источников происходил ΠΏΠΎ ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹ΠΌ словам: Β«computerΒ», Β«surgeryΒ», Β«facialΒ», Β«microsurgeryΒ», Β«fbulaΒ», Β«implantΒ», Β«ΠΌΠ°Π»ΠΎΠ±Π΅Ρ€Ρ†ΠΎΠ²Ρ‹ΠΉ трансплантат», Β«ΠΏΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅Β».Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ планирования с описаниСм тСхничСских особСнностСй с ΠΎΡ†Π΅Π½ΠΊΠΎΠΉ прСимущСств ΠΈ нСдостатков, Π° Ρ‚Π°ΠΊΠΆΠ΅ пСрспСктивныС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎΠΌΠΎΠ³ΡƒΡ‚ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚ΠΈ с сокращСниСм Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ, Π·Π°Ρ‚Ρ€Π°Ρ‡ΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ Π½Π° ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅, ΡƒΠ»ΡƒΡ‡ΡˆΠΈΡ‚ΡŒ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΈ эстСтичСскиС Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹, Ρ‡Ρ‚ΠΎ, Π² свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, скаТСтся Π½Π° качСствС ΠΆΠΈΠ·Π½ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². ΠžΠΏΠΈΡΠ°Π½Ρ‹ ΠΏΠ΅Ρ€Π²Ρ‹Π΅ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ остСотомий ΠΌΠ°Π»ΠΎΠ±Π΅Ρ€Ρ†ΠΎΠ²ΠΎΠ³ΠΎ трансплантата с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Ρ€ΠΎΠ±ΠΎΡ‚Π°. Π£ΠΊΠ°Π·Π°Π½Ρ‹ ослоТнСния, трудности, финансовый аспСкт рСконструкций с использованиСм Π΄Π°Π½Π½ΠΎΠ³ΠΎ лоскута.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π’ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ΅ ΠΏΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ микрохирургичСских рСконструкций с использованиСм ΠΌΠ°Π»ΠΎΠ±Π΅Ρ€Ρ†ΠΎΠ²ΠΎΠ³ΠΎ трансплантата сокращаСт ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ΅ врСмя, Ρ‡Ρ‚ΠΎ сниТаСт риск выгорания спСциалиста. УвСличиваСтся Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ фиксации трансплантата, ΡƒΠΌΠ΅Π½ΡŒΡˆΠ°ΡŽΡ‚ΡΡ диастазы ΠΌΠ΅ΠΆΠ΄Ρƒ линиями остСотомии, ΠΌΠ΅ΠΆΠ΄Ρƒ Π½Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ Ρ‡Π΅Π»ΡŽΡΡ‚ΡŒΡŽ ΠΈ трансплантатом. ΠŸΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ позволяСт ΡƒΠ»ΡƒΡ‡ΡˆΠΈΡ‚ΡŒ ΡΠΈΠΌΠΌΠ΅Ρ‚Ρ€ΠΈΡŽ ΠΈΠ»ΠΈ ΡΠΎΡ…Ρ€Π°Π½ΠΈΡ‚ΡŒ Π΅Ρ‘ Π² ΠΏΡ€Π΅ΠΆΠ½Π΅ΠΌ Π²ΠΈΠ΄Π΅, Ρ‡Ρ‚ΠΎ ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ влияниС Π½Π° эстСтику ΠΈ ΡΠΌΠΎΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ состояниС ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°. Π’ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ΅ ΠΏΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… финансовых Π·Π°Ρ‚Ρ€Π°Ρ‚, Π½ΠΎ ΡˆΠΈΡ€ΠΎΠΊΠΈΠΉ спСктр плюсов Π΄ΠΎΠ»ΠΆΠ΅Π½ ΡƒΠ±Π΅Π΄ΠΈΡ‚ΡŒ спСциалистов ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Π΅Π³ΠΎ ΠΊΠ°ΠΊ ΠΌΠΎΠΆΠ½ΠΎ Ρ‡Π°Ρ‰Π΅.

    Π­Π½Π΄ΠΎΠΏΡ€ΠΎΡ‚Π΅Π· Π½ΠΈΠΆΠ½Π΅ΠΉ Ρ‡Π΅Π»ΡŽΡΡ‚ΠΈ с ΠΎΠΏΠΎΡ€Π½Ρ‹ΠΌΠΈ Π·ΠΎΠ½Π°ΠΌΠΈ ΠΊΠ°ΠΊ искусствСнный ΠΎΡ€Π³Π°Π½

    Get PDF
    Mandibular reconstruction after partial or complete resection is a prerequisite for restoring normal facial aesthetics, articulation and chewing function. We present a clinical case of lower jaw reconstruction in a female patient with acquired extensive bone defect while taking pervitin and desomorphine. Detailed descriptions of the stages of planning and performing surgery, manufacture of an individual endoprosthesis, as well as preoperative preparation of the patient are presented. Clinical and radiological data in the postoperative period were analyzed and an objective assessment of the effectiveness of the technique was given. Adequate restoration of the main functions of the lost organ was achieved thanks to the use of an individual titanium mandibular endoprosthesis with integrated dental implants and a full-arch denture.РСконструкция Π½ΠΈΠΆΠ½Π΅ΠΉ Ρ‡Π΅Π»ΡŽΡΡ‚ΠΈ послС Π΅Π΅ частичной ΠΈΠ»ΠΈ ΠΏΠΎΠ»Π½ΠΎΠΉ Ρ€Π΅Π·Π΅ΠΊΡ†ΠΈΠΈ являСтся Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹ΠΌ условиСм для восстановлСния Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ эстСтики Π»ΠΈΡ†Π°, артикуляции ΠΈ ΠΆΠ΅Π²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ. Π’ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ прСдставлСн клиничСский случай рСконструкции Π½ΠΈΠΆΠ½Π΅ΠΉ Ρ‡Π΅Π»ΡŽΡΡ‚ΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠΈ с ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π΅Π½Π½Ρ‹ΠΌ ΠΎΠ±ΡˆΠΈΡ€Π½Ρ‹ΠΌ Π΄Π΅Ρ„Π΅ΠΊΡ‚ΠΎΠΌ кости Π½Π° Ρ„ΠΎΠ½Π΅ ΠΏΡ€ΠΈΠ΅ΠΌΠ° наркотичСских вСщСств Π½Π° основС ΠΏΠ΅Ρ€Π²ΠΈΡ‚ΠΈΠ½Π° ΠΈ Π΄Π΅Π·ΠΎΠΌΠΎΡ€Ρ„ΠΈΠ½Π°. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½ΠΎ Π΄Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΠ΅ описаниС этапов планирования ΠΈ провСдСния ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°, изготовлСния ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ эндопротСза, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€Π΅Π΄ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ клиничСскиС ΠΈ рСнтгСнологичСскиС Π΄Π°Π½Π½Ρ‹Π΅ Π² послСопСрационном ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅, Π΄Π°Π½Π° ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Π°Ρ ΠΎΡ†Π΅Π½ΠΊΠ° эффСктивности ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ. Π—Π° счСт примСнСния ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ‚ΠΈΡ‚Π°Π½ΠΎΠ²ΠΎΠ³ΠΎ эндопротСза Π½ΠΈΠΆΠ½Π΅ΠΉ Ρ‡Π΅Π»ΡŽΡΡ‚ΠΈ с Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Π½Ρ‹ΠΌΠΈ Π΄Π΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΈΠΌΠΏΠ»Π°Π½Ρ‚Π°Ρ‚Π°ΠΌΠΈ ΠΈ изготовлСния ортопСдичСской конструкции достигнуто Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½ΠΎΠ΅ восстановлСниС основных Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ ΡƒΡ‚Ρ€Π°Ρ‡Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΡ€Π³Π°Π½Π°

    Acyclic linear SEMs obey the nested Markov property

    No full text
    The conditional independence structure induced on the observed marginal distribution by a hidden variable directed acyclic graph (DAG) may be represented by a graphical model represented by mixed graphs called maximal ancestral graphs (MAGs). This model has a number of desirable properties, in particular the set of Gaussian distributions can be parameterized by viewing the graph as a path diagram. Models represented by MAGs have been used for causal discovery [22], and identification theory for causal effects [28]. In addition to ordinary conditional independence constraints, hidden variable DAGs also induce generalized independence constraints. These constraints form the nested Markov property [20]. We first show that acyclic linear SEMs obey this property. Further we show that a natural parameterization for all Gaussian distributions obeying the nested Markov property arises from a generalization of maximal ancestral graphs that we call maximal arid graphs (MArG). We show that every nested Markov model can be associated with a MArG; viewed as a path diagram this MArG parametrizes the Gaussian nested Markov model. This leads directly to methods for ML fitting and computing BIC scores for Gaussian nested models

    Nested markov properties for acyclic directed mixed graphs

    No full text
    Conditional independence models associated with directed acyclic graphs (DAGs) may be characterized in at least three different ways: via a factorization, the global Markov property (given by the dseparation criterion), and the local Markov property. Marginals of DAG models also imply equality constraints that are not conditional independences; the well-known β€˜Verma constraint’ is an example. Constraints of this type are used for testing edges, and in a computationally efficient marginalization scheme via variable elimination. We show that equality constraints like the β€˜Verma constraint’ can be viewed as conditional independences in kernel objects obtained from joint distributions via a fixing operation that generalizes conditioning and marginalization. We use these constraints to define, via ordered local and global Markov properties, and a factorization, a graphical model associated with acyclic directed mixed graphs (ADMGs). We prove that marginal distributions of DAG models lie in this model, and that a set of these constraints given by Tian provides an alternative definition of the model. Finally, we show that the fixing operation used to define the model leads to a particularly simple characterization of identifiable causal effects in hidden variable causal DAG models
    corecore