Relevance. An urgent task of modern ophthalmology, maxillofacial surgery and neurosurgery is to improve the efficiency and quality of surgical care for patients with post-traumatic defects and deformations of the orbit. The priority direction is the use of modern computer technologies that allow for virtual planning of reconstructive treatment and modeling of individual implants to restore the damaged area. The purpose of the study. Тhis article is to demonstrate the capabilities of the developed software tool based on a neural network using MSCT output data in DICOM format in reconstructive surgery of the craniofacial region using a clinical example. Materials and methods. The presented material describes a clinical case of a patient with the consequences of a combined craniomaxillofacial injury. The examination included visual acuity, biomicroscopy, static automatic perimetry at the observation stages. MSCT of the skull was performed before surgery and immediately after orbit reconstruction. To analyze the prevalence of the traumatic process in the orbit and model an individual implant, the developed software tool based on a neural network using MSCT output data in DICOM format was used. Results and conclusion. The use of the developed software at the stage of preoperative planning allows to assess the prevalence of the traumatic process in the orbit, create a virtual three-dimensional model of the damaged orbit with the defect zone, determine the sequence of stages of one-stage reconstructive treatment for craniofacial trauma, and model a personalized implant. The use of additive technologies allows the surgeon to obtain a tactile three-dimensional model of the damaged area of the facial skeleton and manufacture a personalized implant, which significantly improves the quality of surgical treatment for this category of patients.
| Mualliflar | Дудич О.Н., Красильникова В.Л., Осипович В.С., Малиновская И.И., Салех М.М. |
|---|---|
| Jurnal | Передовая Офтальмология |
| Nashr sanasi | 2024-06-07 |
| Jild | 7 |
| Son | 1 |
| Betlar | 57-63 |
| Til | ru |
| DOI | 10.57231/j.ao.2024.7.1.010 |
DOI: 10.57231/j.ao.2024.7.1.010 · Maqolaning asl sahifasi
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