Registration Number
0225U003655,
(0117U006963)
, R & D reports
Title
Reconstructive-recovery operationsusing mini-invasive technologies in thoraco-abdominal, cardiovascular and endocrine surgery
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Реконструктивно-відновлювальні операції з використанням мініінвазивних технологій в торако-абдомінальній, серцево-судинній та ендокринній хірургії
Head
Никоненко Олександр Семенович,
Registration Date
28-07-2025
Organization
Zaporizhzhya State Medical University
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The aim of the study — to improve the results of reconstructive-restorative operations using minimally invasive technologies in thoraco-abdominal, cardiovascular and endocrine surgery. Object of study — modern reconstructive-restorative operations using minimally invasive technologies for organs and vessels pathology of the thoracic, abdominal cavities and retroperitoneal space. Methods of research — clinical, laboratory, instrumental: electrocardiographic, ultrasound, radiological, magnetic resonance, endoscopic and endovascular examination of the thoracic, abdominal cavities and retroperitoneal space organs and vessels. The results: received new data on the use of reconstructive-restorative operations with the use of minimally invasive technologies in the treatment of patients with organs and vessels pathology of the thoracic, abdominal cavities and retroperitoneal space; the main indications and contraindications for performing these interventions were determined and a differentiated approach to their use was developed. The treatment results of thoracic, abdominal cavities and retroperitoneal space organs and vessels diseases have improved: reduction of the patients stay period in the hospital, reduction of postoperative mortality rates and the postoperative complications level. On the detailed study basis of the early and long-term reconstructive-restorative operations with minimally invasive technologies results in the surgical treatment of patients with the thoracic and abdominal cavities, retroperitoneal space organs and vessels pathology a therapeutic and diagnostic algorithm was developed, conclusions and practical recommendations were formulated.
Product Description
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Vildanov Serhii R.
Vilkhovoi Serhii O.
Vailo Yurii M.
Havrylenko Borys S.
Haidarzhi Yevhen I.
Holovko Mykola H.
Hrushka Venedykt A.
Hubka Viktor O.
Zubryk Iryna V.
Klymenko Volodymyr M.
Matvieiev Serhii O.
Materukhin Arkadii M.
Nykonenko Andrii O.
Okhrimenko Heorhii I.
Protsenko artem S.
Chmul Karina O.
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2025-07-28
