Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed
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Publication Open Access Angiogenesis in gynecological cancers and the options for anti-angiogenesis therapy(Elsevier B.V., 2021) Yetkin-Arik, Bahar; Kastelein, Arnoud W.; Klaassen, Ingeborg; Jansen, Charlotte H.J.R.; Latul, Yani P.; Vittori, Miloš; Biri, Aydan Asyali; Kahraman, Korhan; Griffioen, Arjan W.; Amant, Frédéric C.H.; Yetkin-Arik, Bahar, Department of Ophthalmology, Universiteit van Amsterdam, Amsterdam, Netherlands, Department of Medical Biology, Universiteit van Amsterdam, Amsterdam, Netherlands; Kastelein, Arnoud W., Department of Obstetrics and Gynecology, Universiteit van Amsterdam, Amsterdam, Netherlands; Klaassen, Ingeborg, Department of Ophthalmology, Universiteit van Amsterdam, Amsterdam, Netherlands, Department of Medical Biology, Universiteit van Amsterdam, Amsterdam, Netherlands; Jansen, Charlotte H.J.R., Department of Obstetrics and Gynecology, Universiteit van Amsterdam, Amsterdam, Netherlands; Latul, Yani P., Department of Obstetrics and Gynecology, Universiteit van Amsterdam, Amsterdam, Netherlands; Vittori, Miloš, Biotechnical Faculty, Univerza v Ljubljani, Ljubljana, Slovenia; Biri, Aydan Asyali, Department of Obstetrics and Gynecology, Ankara Numune Hospital, Ankara, Turkey; Kahraman, Korhan, Department of Obstetrics and Gynecology, Bahçeşehir Üniversitesi, Istanbul, Turkey; Griffioen, Arjan W., Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam, Netherlands; Amant, Frédéric C.H., Department of Oncology, KU Leuven, Leuven, Belgium, Center for Gynaecologic Oncology, Amsterdam, Netherlands, Center for Gynaecologic Oncology Amsterdam, The Netherlands Cancer Institute, Amsterdam, Netherlands, Center for Gynaecologic Oncology Amsterdam, Amsterdam UMC - University of Amsterdam, Amsterdam, NetherlandsAngiogenesis is required in cancer, including gynecological cancers, for the growth of primary tumors and secondary metastases. Development of anti-angiogenesis therapy in gynecological cancers and improvement of its efficacy have been a major focus of fundamental and clinical research. However, survival benefits of current anti-angiogenic agents, such as bevacizumab, in patients with gynecological cancer, are modest. Therefore, a better understanding of angiogenesis and the tumor microenvironment in gynecological cancers is urgently needed to develop more effective anti-angiogenic therapies, either or not in combination with other therapeutic approaches. We describe the molecular aspects of (tumor) blood vessel formation and the tumor microenvironment and provide an extensive clinical overview of current anti-angiogenic therapies for gynecological cancers. We discuss the different phenotypes of angiogenic endothelial cells as potential therapeutic targets, strategies aimed at intervention in their metabolism, and approaches targeting their (inflammatory) tumor microenvironment. © 2020 Elsevier B.V., All rights reserved.Publication Metadata only Ultra-widefield imaing in age-related macular degeneration(Gazi Eye Foundation, 2021) Kurt, Rengin Aslihan; Mestanoglu, Mert; Kurt, Rengin Aslihan, Ophthalmology Department Istanbul, Başkent Üniversitesi, Ankara, Turkey, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Mestanoglu, Mert, Ophthalmology Department Istanbul, Başkent Üniversitesi, Ankara, Turkey, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, TurkeyAge related macular degeneration accounts for 8.7% of all blindness worldwide and is the major cause of blindness in the developed world. The projected number of people with the disease will be 288 million in 2040, deserving the effort for early detection and treatment. In many different studies the peripheral retinal changes had been demonstrated clinically and pathologically in age related macular degeneration. Retinal imaging had a huge development within the last century and now it is easier to detect and document the peripheral retinal changes. Ultra-widefi eld imaging with many different commercially available devices will be one of the most important tools of retinal imaging. In this review our aim is to discuss the diagnostic, therapeutic and predictive value of ultra-widefi eld imaging in age related macular degeneration. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only An autopsy series: Lightning-related deaths in van and hakkâri provinces, Turkey(University of the West Indies, 2021) Hekimoglu, Yavuz; Aşırdizer, Mahmut; Demir, Ugur; Gur, A.; Etli, Yasin; Gumus, Orhan; Kartal, Erhan; Hekimoglu, Yavuz, Department of Forensic Medicine, Tekirdağ Namık Kemal Üniversitesi, Tekirdag, Turkey; Aşırdizer, Mahmut, Department of Forensic Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Demir, Ugur, Department of Forensic Medicine, Van Yüzüncü Yıl Üniversitesi, Van, Turkey; Gur, A., Hakkari Forensic Medicine Branch Directorate of Forensic Medicine Institute, Hakkari, Turkey; Etli, Yasin, Department of Forensic Medicine, Van Yüzüncü Yıl Üniversitesi, Van, Turkey; Gumus, Orhan, Department of Forensic Medicine, Van Yüzüncü Yıl Üniversitesi, Van, Turkey; Kartal, Erhan, Department of Forensic Medicine, Van Yüzüncü Yıl Üniversitesi, Van, TurkeyObjective: To report the largest series of lightning-related deaths in Turkey, to review the literature on this subject, and to identify similarities and differences between the autopsy findings in this study and the information available in literature. Methods: In this study, autopsy reports and crime scene investigation data on 11 lightningrelated fatalities that occurred in the Van and Hakkâri Provinces, Turkey, from January 1, 2011 to December 31, 2015 were retrospectively reviewed. Results: Of the 1699 fatalities, 11 (2.53%) evaluated by medico-legal autopsy in the Van and Hakkâri Province in a 5-year period died from lightning strikes. Of these cases, 10 (90.1%) were males and 1 (9.9%) was female (p < 0.05). All cases were in the 11 to 33 years age group. All cases were injured outdoors. Conclusion: We concluded that deaths due to lightning strikes are relatively rare in Turkey, and may be reduced with precautions such as avoiding staying under trees or in the vicinity of high towers, refraining from touching metal objects, avoiding lying on the ground, leaning on walls, and crouching outdoors. © 2021 Elsevier B.V., All rights reserved.Publication Open Access Application of machine learning to improve dairy farm management: A systematic literature review(Elsevier B.V., 2021) Slob, Naftali; Catal, Cagatay; Kassahun, Ayalew; Slob, Naftali, Information Technology Group, Wageningen University & Research, Wageningen, Netherlands; Catal, Cagatay, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Kassahun, Ayalew, Information Technology Group, Wageningen University & Research, Wageningen, NetherlandsIn recent years, several researchers and practitioners applied machine learning algorithms in the dairy farm context and discussed several solutions to predict various variables of interest, most of which were related to incipient diseases. The objective of this article is to identify, assess, and synthesize the papers that discuss the application of machine learning in the dairy farm management context. Using a systematic literature review (SLR) protocol, we retrieved 427 papers, of which 38 papers were determined as primary studies and thus were analysed in detail. More than half of the papers (55 %) addressed disease detection. The other two categories of problems addressed were milk production and milk quality. Seventy-one independent variables were identified and grouped into seven categories. The two prominent categories that were used in more than half of the papers were milking parameters and milk properties. The other categories of independent variables were milk content, pregnancy/calving information, cow characteristics, lactation, and farm characteristics. Twenty-three algorithms were identified, which we grouped into four categories. Decision tree-based algorithms are by far the most used followed by artificial neural network-based algorithms. Regression-based algorithms and other algorithms that do not belong to the previous categories were used in 13 papers. Twenty-three evaluation parameters were identified of which 7 were used 3 or more times. The three evaluation parameters that were used by more than half of the papers are sensitivity, specificity, RMSE. The challenges most encountered were feature selection and unbalanced data and together with problem size, overfitting/estimating, and parameter tuning account for three-quarters of the challenges identified. To the best of our knowledge, this is the first SLR study on the use of machine learning to improve dairy farm management, and to this end, this study will be valuable not only for researchers but also practitioners in dairy farms. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only Hypertension in Kidney Transplant Recipients: Where Are We Today?(Springer, 2021) Ari, Elif Merve; Fici, Francesco; Robles Perez-Monteoliva, Nicolás Roberto; Ari, Elif Merve, Department of Nephrology, Bahçeşehir Üniversitesi, Istanbul, Turkey; Fici, Francesco, Cardiovascular Risk Chair, Universidad de Salamanca, Salamanca, Spain; Robles Perez-Monteoliva, Nicolás Roberto, Department of Nephrology, Hospital Clínico Universitario de Salamanca, Salamanca, SpainPurpose of Review: Cardiovascular disease is the leading cause of death and allograft loss among kidney transplant recipients, and hypertension is an independent risk factor for cardiovascular morbidity of this patient population. The etiology of hypertension is multifactorial, including pre-transplant volume overload, post-transplant recipient and donor-associated variables, and transplant-specific causes (immunosuppressive medications, allograft dysfunction and surgical complications such as transplant artery stenosis). Recent Findings: No randomized controlled trials have assessed the optimal blood pressure targets and explored the best antihypertensive regimen for kidney transplant recipients. According to the large observational studies, it is reasonable to achieve a blood pressure goal of equal to or less than 130/80 mmHg in the long-term follow-up for minimizing the cardiovascular morbidity. The selection of antihypertensive agents should be based on the patient’s co-morbidities, however, the initial choice could be calcium channel blockers especially in the first few months of transplantation. In patients with cardiovascular indications of renin-angiotensin-aldosterone system inhibition, given the well-described benefits in diabetic and proteinuric patients, it is reasonable to consider the use of renin-angiotensin-aldosterone system inhibitors. Summary: There is a need for future prospective trials in the transplant population to define optimal blood pressure goals and therapies. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only Artificial intelligence technologies in dentistry(Ondokuz Mayis Universitesi, 2021) Albayrak, Berkman; Özdemir, Gökhan; Us, Yeşim Olçer; Yüzbaşıoğlu, Emir; Albayrak, Berkman, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Özdemir, Gökhan, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Us, Yeşim Olçer, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Yüzbaşıoğlu, Emir, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Dentistry, BAU International University, Batumi, GeorgiaOne of the most important actors in the digitization process of our age has been the applications of artificial intelligence (AI). While the weak and strong AI sub-concepts and the different AI models within them are being utilized in many fields such as education, industry and medicine today, the interest of the dentistry field, which has started its integration into the digital world with CAD/CAM technology, in AI is increasing day by day. In different branches of dentistry, AI provides services to clinicians and researchers in many fields such as disease diagnosis, evaluation of the occurrence or recurrence of diseases such as oral cancer, and prediction of success in surgical and prosthetic treatments. In this article, studies in which AI models such as machine learning, convolutional neural networks have found research and usage areas on the basis of different branches of dentistry are reviewed. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only Accuracy and efficiency of digital implant planning and guided implant surgery: An update and review(Ondokuz Mayis Universitesi, 2021) Ilhan, Ceylan; Dikmen, Mehmet; Yüzbaşıoğlu, Emir; Ilhan, Ceylan, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Dikmen, Mehmet, Private Practice, Ankara, Turkey; Yüzbaşıoğlu, Emir, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Dentistry, BAU International University, Batumi, GeorgiaAdvances in digital technology present seamless 3D integrated workflow options to eliminate surgical and prosthetic complications in dental implant treatment. Virtual implant planning with guided implant surgery is claimed to provide predictable results. State of art technology is capable to transfer virtual implant planning from software to clinical application. However, clinicians have to be aware of the potential deviation factors and risks of the different types of guided implant surgery systems to reduce the complications. This review aims to evaluate the efficiency and accuracy of different computer-assisted dental implant surgical techniques and to discuss their potential error sources. © 2021 Elsevier B.V., All rights reserved.Publication Open Access Clinical outcomes and complications of CAD-CAM fabricated complete dentures: An update and review(Ondokuz Mayis Universitesi, 2021) Yüzbaşıoğlu, Emir; Us, Yeşim Olçer; Özdemir, Gökhan; Albayrak, Berkman; Yüzbaşıoğlu, Emir, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Dentistry, BAU International University, Batumi, Georgia; Us, Yeşim Olçer, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Özdemir, Gökhan, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Albayrak, Berkman, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, TurkeyFor decades, conventional complete dentures (CD) have been a promising treatment for edentulous patients. The introduction of digital technology in CD fabrication streamlines and simplifies the treatment process and offers new and specific applications for the completely edentulous patients. Computer-aided design/computer-assisted manufactured (CAD/CAM) CD protocols can improve efficiency and offer specific applications in specific situations to improve patient care, satisfaction, and convenience. The aim of this review is to assess and evaluate the clinical outcomes and complication of CAD/CAM fabricated CD systems and to provide information about currently available systems for dental practitioners. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only Virtual articulators, virtual occlusal records and virtual patients in dentistry(Ondokuz Mayis Universitesi, 2021) Özdemir, Gökhan; Albayrak, Berkman; Yüzbaşıoğlu, Emir; Us, Yeşim Olçer; Özdemir, Gökhan, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Albayrak, Berkman, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Yüzbaşıoğlu, Emir, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Dentistry, BAU International University, Batumi, Georgia; Us, Yeşim Olçer, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, TurkeyDigital technology is broadly used in almost every part of medicine. As tools of digital technology, augmented reality and virtual reality have been adopted in all disciplines of dentistry and dental education. In particular, virtual articulators have allowed for a full analysis of occlusion with dental models that can simulate all mandibular movements in static and dynamic positions. When combined with additional software, virtual articulators can also enhance education and practice, allow for quicker and more precise individualized diagnoses and enable discussions of dental treatment planning options with patients during their first appointment. This article reviews the requirements for virtual articulators and occlusal recordings and assesses their advantages and disadvantages in various aspects. © 2021 Elsevier B.V., All rights reserved.Publication Open Access Digital smile design as a communication tool for predictable clinical results: An update and review(Ondokuz Mayis Universitesi, 2021) Us, Yeşim Olçer; Yüzbaşıoğlu, Emir; Albayrak, Berkman; Özdemir, Gökhan; Us, Yeşim Olçer, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Yüzbaşıoğlu, Emir, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Dentistry, BAU International University, Batumi, Georgia; Albayrak, Berkman, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Özdemir, Gökhan, Department of Prosthodontics, Bahçeşehir Üniversitesi, Istanbul, TurkeyIncreasing aesthetic preferences and technological changes in dentistry have occurred over time, resulting in predictable, more aesthetic and more functional results. First, the development of digital dentistry, especially the CAD/CAM systems, following these developments, the ability to make smile designs with the effect of digitalization in anterior restorations led to the emergence of reliable and more guaranteed restorations for both the patient, dentist and dental technician. This review summarizes the information and offers suggestions with features to be considered in digital smile design and digital smile design software. © 2021 Elsevier B.V., All rights reserved.