Person: DÜNDAR, TOLGA TURAN
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Publication Metadata only The Role of Staged Cryosurgery and Three-Dimensional Computed Tomography Integrated Navigation System in the Surgical Management of Severe Involvement of Craniofacial Polyostotic Fibrous Dysplasia(2020-01-01T00:00:00Z) Dündar, Tolga Turan; YILDIZ, KEMALETTİN; DÜNDAR, TOLGA TURAN; MEHDIZADE, TURAN; GÜNEREN, ETHEMFibrous dysplasia (FD) is a developmental bone disorder caused by the hamartamatous proliferation of bone-forming cells. A 29-year-old male patient with diagnosis of FD was admitted to our clinic with the symptoms of severe craniomaxillofacial involvement of FD beginning from last year. Neurological examination revealed diplopia, horizontal nystagmus, conductive hearing loss, and partial vision loss. In his medical history, it was reported that he had undergone intramedullary nailing operation in his left femur due to a pathological fracture approximately 8 years ago in the orthopedics clinic of our institution. The patient underwent 3 consecutive surgeries by our plastic and neurosurgical team. The patient was followed-up in the neuro-intensive care unit between the surgical sessions and 1 week after the last operation. Afterwards, he was transferred to the neurosurgical department. No postoperative complication was detected. The preoperative signs were recovered. During his 6th month follow-up control-visit, all his preoperative symptoms were improved. In addition, the patient was satisfied with his postoperative cosmetic improvement. In conclusion, virtual surgical planning and intraoperative surgical navigation systems can make the challenging cases possible to operate with increasingPublication Metadata only Anevrizmatik subaraknoid kanama sonrası prognostik faktör olarak platelet volüm indeksinin değerlendirilmesi(2019-09-01) Dündar, Tolga Turan; DÜNDAR, TOLGA TURAN; KİTİŞ, SERKAN; YURTSEVER, İSMAİLPublication Metadata only NÖROİNFLAMASYON(2022-08-01T00:00:00Z) Dündar, Tolga Turan; DÜNDAR, TOLGA TURANNÖROİNFLAMASYON VE İNTRASEREBRAL HEMATOMPublication Metadata only Grade IV Glial Tümörlerde, Mitotik Aktivite, Ki-67 ve Platelet Volüm İndeksinin Prognostik Belirteç Olarak Karşılaştırılması(2019-08-01) Dündar, Tolga Turan; DÜNDAR, TOLGA TURANPublication Open Access Machine Learning-Based Surgical Planning for Neurosurgery: Artificial Intelligent Approaches to the Cranium(2022-04-01T00:00:00Z) Dündar, Tolga Turan; Yurtsever, İsmail; Kurt Pehlivanoğlu, Meltem; Yıldız, Uğur; Eker, Ayşegül; Demir, Mehmet Ali; Mutluer, Ahmet Serdar; Tektaş, Recep; Kazan, Mevlude Sila; Kitiş, Serkan; Gokoglu, Abdulkerim; Doğan, İhsan; Duru, Nevcihan; DÜNDAR, TOLGA TURAN; YURTSEVER, İSMAİL; KİTİŞ, SERKANObjectives: Artificial intelligence (AI) applications in neurosurgery have an increasing momentum as well as the growing number of implementations in the medical literature. In recent years, AI research define a link between neuroscience and AI. It is a connection between knowing and understanding the brain and how to simulate the brain. The machine learning algorithms, as a subset of AI, are able to learn with experiences, perform big data analysis, and fulfill human-like tasks. Intracranial surgical approaches that have been defined, disciplined, and developed in the last century have become more effective with technological developments. We aimed to define individual-safe, intracranial approaches by introducing functional anatomical structures and pathological areas to artificial intelligence. Methods: Preoperative MR images of patients with deeply located brain tumors were used for planning. Intracranial arteries, veins, and neural tracts are listed and numbered. Voxel values of these selected regions in cranial MR sequences were extracted and labeled. Tumor tissue was segmented as the target. Q-learning algorithm which is a model-free reinforcement learning algorithm was run on labeled voxel values (on optimal paths extracted from the new heuristic-based path planning algorithm), then the algorithm was assigned to list the cortico-tumoral pathways that aim to remove the maximum tumor tissue and in the meantime that functional anatomical tissues will be least affected. Results: The most suitable cranial entry areas were found with the artificial intelligence algorithm. Cortico-tumoral pathways were revealed using Q-learning from these optimal points. Conclusions: AI will make a significant contribution to the positive outcomes as its use in both preoperative surgical planning and intraoperative technique equipment assisted neurosurgery, its use increasedPublication Metadata only Beyin Tümörü Kök Hücresi(2018-10-01T00:00:00Z) Dündar, Tolga Turan; Kitiş, Serkan; Gundag, Meliha; Özek, Erdinç; Abdallah, Anas; Seyithanoğlu, Mehmet Hakan; Çetin, Güven; DÜNDAR, TOLGA TURAN; KİTİŞ, SERKAN; GUNDAG, MELİHA; ÖZEK, ERDİNÇ; SEYİTHANOĞLU, MEHMET HAKAN; ÇETİN, GÜVENPublication Metadata only Oxidative Stress Level in Patients with Subarachnoid Hemorrhage.(2021-12-12T00:00:00Z) Abdallah, Anas; Guler, Eray Metin; Çınar, İrfan; Papaker, Meliha Gündağ; Dündar, Tolga Turan; Yurtsever, İSMAİL; GUNDAG, MELİHA; ÖZER, ÖMER FARUK; YURTSEVER, İSMAİL; DÜNDAR, TOLGA TURANPublication Metadata only Mathematical modelling of real world problems: interdisciplinary studies in applied mathematics(2019-06-01) Dündar, Tolga Turan; DÜNDAR, TOLGA TURANPublication Metadata only Ventrikülo-Peritoneal Şantın Geç Komplikasyonu: Dört Olguda Peritoneal Kateterin Anal Protrüzyonu(2011-08-01T00:00:00Z) Seyithanoğlu, Mehmet Hakan; Doğan, Kazım; Gundag, Meliha; Kitiş, Serkan; Öztürk, Şeref; Dündar, Tolga Turan; Çevik, Serdar; GUNDAG, MELİHA; KİTİŞ, SERKAN; DÜNDAR, TOLGA TURANPublication Metadata only GLIABLASTOME MULTIFORME THE EFFECTIVENES OF HYPERBARIC OXYGEN THERAPY AND SOROFENIB IN AN ESTABLISHED INTRACEREBRAL TUMOR MODEL IN RATS USING THE C6 GLIAL CELL(2016-04-01T00:00:00Z) Seyithanoğlu, Mehmet Hakan; Dündar, Tolga Turan; Kitiş, Serkan; Evran, Şevket; Korpınar, Şefika; Atar, Raziye; Toklu, Akın Savaş; Bilir, Ayhan; SEYİTHANOĞLU, MEHMET HAKAN; DÜNDAR, TOLGA TURAN; KİTİŞ, SERKAN