Sedat Soyupek

SOĞUK HAVALARDA TESTİS TORSİYONU İHTİMALİ DAHA MI FAZLA?

Gönenç Kuş, Osman Ergün, Sefa Alperen Öztürk, Taylan Oksay et autres

Amaç: Bu çalışmada testis torsiyonunun hava koşulları ile ilişkisini araştırmayı, ılıman ve subtropikal iklim kuşakları arasında yer alan Türkiye'ye ait sonuçları bildirmeyi amaçladık.Metodoloji: Retrospektif olarak değerlendirdiğimiz çalışmamıza 2012-2022 yılları arasında Süleyman Demirel Üniversitesi Eğitim ve Araştırma Hastanesi acil servisi veya üroloji polikliniğine …

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Is it possible to detect cribriform adverse pathology in prostate cancer with magnetic resonance imaging machine learning-based radiomics?

Hüseyin Bıçakçıoğlu, Sedat Soyupek, Onur Ertunç, Şehnaz Evirmler

Rationale and objectives: Cribriform patterns are accepted as aggressive variants of prostate cancer. These adverse pathologies are closely associated with early biochemical recurrence, metastasis, castration resistance, and poor disease-related survival. A few publications exist to diagnose these two adverse pathologies with multiparametric …

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Deep-learning-based diagnosis and grading of vesicoureteral reflux: A novel approach for improved clinical decision-making

Osman Ergün, T. Ahmet Serel, Sefa Alperen Öztürk, Hüseyin Bulut Serel et autres

Background/Aim: Vesicoureteral reflux (VUR) is a condition that causes urine to flow in reverse, from the bladder back into the ureters and occasionally into the kidneys. It becomes a vital cause of urinary tract infections. Conventionally, VUR’s severity is evaluated through imaging …

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Increased Plasma Ignition Distance Practice may Prevent the Obturator Reflex Occurrences and Compare of its Effectiveness Versus Obturator Block: A Prospective, Randomized, Controlled Study

Osman Ergün, Sefa Alperen Öztürk, Fahrettin KIRÇİÇEK, Osman Gürdal et autres

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Deep Learning in Urological Images Using Convolutional Neural Networks: An Artificial Intelligence Study

Ahmet Serel, Sefa Alperen Öztürk, Sedat Soyupek, Hüseyin Bulut Serel

OBJECTIVE: Using artificial intelligence and a deep learning algorithm can differentiate vesicoureteral reflux and hydronephrosis reliably. MATERIAL AND METHODS: An online dataset of vesicoureteral reflux and hydronephrosis images were abstracted. We developed image analysis and deep learning workflow. The images were trained …

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Nebivolol protects erectile functions compared to Metoprolol in hypertensive men with atherogenic, venogenic, psychogenic erectile dysfunction: A prospective, randomized, cross-over, clinical trial

Gökhan Güngör, Hakkı Perk, Sedat Soyupek, Bahattin Baykal et autres

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RETROGRADE İNTRARENAL CERRAHİ (RIRS): CERRAHİ DENEYİMİMİZ VE KLİNİK SONUÇLARIMIZ

Tayfun ÇİFTECİ, Sefa Alperen Öztürk, Osman Ergün, Alper Özorak et autres

Amaç Üriner sistem taş hastalıkları ülkemizde ve dünyada sık görülmektedir. Flexıble üreterorenoskop (flex URS) ilk defa 1964 yılında Marshall tarafından tanımlanmıştır ve ilerleyen teknoloji ile birlikte 1987 yılında cerrahi teknik olarak kılavuzlarda yerini almıştır. Endikasyonları hızla genişlemektedir. Bu çalışmamızda kliniğimizde retrograde intrarenal …

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Bladder Urothelial Carcinoma: Machine Learning-based Computed Tomography Radiomics for Prediction of Histological Variant

Şehnaz Evrimler, Mehmet Ali Gedik, T. Ahmet Serel, Onur Ertunç et autres

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Comparison of Tumor Enucleation and Standard Partial Nephrectomy According to Trifecta Outcomes: A Multicenter Study by the Turkish Academy of Urology, Uro-Oncology Working Group

Meftun Çulpan, Gökhan Atış, Öner Şanlı, Yaşar Bozkurt et autres

Introduction We aimed to evaluate the impact of the resection technique (tumor enucleation (TE) or standard partial nephrectomy (SPN)) on trifecta outcomes in patients having undergone partial nephrectomy (PN).Materials and Methods We retrospectively analyzed the clinical and pathologic parameters in patients with …

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Costovertebral angle as a novel tool for predicting the thoracic complication risk following percutaneous nephrolithotomy requiring supracostal access

Ahmet Güzel, Taylan Oksay, Sefa Alperen Öztürk, Sedat Soyupek et autres

Introduction: The objective of this study was to determine whether the costovertebral angle (CVA) and other factors can predict the risk of thoracic complications following percutaneous nephrolithotomy (PCNL). Methods: The data of patients who underwent prone PCNL with supracostal access at Suleyman …

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RENAL ANJİOMYOLİPOMLAR: 15 OLGUNUN ANALİZİ

Gamze Erkılınç, Şirin Başpınar, Sema Bircan, Sedat Soyupek et autres

Giriş: Anjiomyolipom (AML) matür yağ dokusu, kalın duvarlı damar yapıları, düz kas dokusu ve melanin sentezleyen özel miyoid hücrelerin değişen oranlarda gözlendiği benign mezankimal bir tümördür. Bu makalede 2008-2018 yılları arasında bölümümüzde renal AML tanısı almış farklı klinik ve mikroskopik özellikleri olan …

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Can we Predict Preoperative Tumor Aggressivity with Hemogram Parameters in Renal Cell Carcinoma? a Novel Calculation Method

Murat Uçar, Sedat Soyupek, Taylan Oksay, Alper Özorak et autres

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