Yusuf Kenan Çetinoğlu

Ultrasound-guided Hydrostatic Reduction in Pediatric Intussusception: Factors Associated with Treatment Success

Yusuf Kenan Çetinoğlu, Dilek Sural, Oğuzhan Çelik, Ayşe Demet Payza et autres

Objective: This study aimed to assess demographic and sonographic factors associated with successful ultrasound-guided hydrostatic reduction in pediatric patients with intussusception.Method: This retrospective, single-center study included children with ultrasonographically confirmed intussusception who underwent ultrasound-guided hydrostatic reduction.Demographic characteristics, intussusception location, intussuscepted segment length, …

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Central Tegmental Tract Hyperintensity on Cranial MRI in Pediatric Patients

Yusuf Kenan Çetinoğlu, Serdar Pekuz, Berçim Sarı Bostancı, Didem KALAYCI ATMACA et autres

Objective: The central tegmental tract (CTT) is an extrapyramidal pathway located in the brainstem.CTT hyperintensity (CTTH) is a neuroimaging finding of uncertain etiology, considered either part of the normal maturation process or a finding that can be seen in various neurological conditions.This …

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Which Measurement is Better Correlated with Postoperative Complication in Esophageal Atresia? Vertebral Body Count Versus Centimeter-based Gap Classification

İncinur Genişol, Yusuf Kenan Çetinoğlu, Murat Seyit, Asya Eylem Boztas et autres

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Varicella Zoster Virus as a trigger for Multiple Sclerosis

Ece Onel, Yusuf Kenan Çetinoğlu, Ünsal Yılmaz

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Multiparametric MRI characteristics for differentiating primary cancer origin in brain metastases

Ali Şalbaş, Mehmet Sait Coskun, Yusuf Kenan Çetinoğlu, Merve Horoz et autres

Abstract Background Accurate identification of primary cancer origin in brain metastases (BMs) is crucial for diagnosis and treatment planning. Identification is challenging, particularly in unknown primary cases. Multiparametric Magnetic Resonance Imaging (MRI) offers non-invasive imaging characteristics as diagnostic clues. This study aimed …

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Deep learning–based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy

Kazım Ayberk Sinci, İlker Özgür Koska, Yusuf Kenan Çetinoğlu, Nezahat Erdoğan et autres

BACKGROUND: To evaluate the performance of deep learning models in classifying parotid gland tumors using T2-weighted, diffusion-weighted, and contrast-enhanced T1-weighted MR images, along with DCE data derived from time-intensity curves. METHODS: In this retrospective, single-center study including a total of 164 participants, …

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Genetic and clinical spectrum of PIEZO2-related disorders: insights from a multicenter study of 26 patients

Gülçin Akıncı, Berk Özyılmaz, Gülten Öztürk, Mustafa Kömür et autres

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Qualitative MRI features in the differentiation between primary and secondary CNS lymphoma

Yusuf Kenan Çetinoğlu, Kazım Ayberk Sinci, Merve Horoz, Mustafa Fazıl Gelal

PURPOSE: Differentiating between primary CNS lymphomas (PCNSL) and secondary CNS lymphomas (SCNSL) remains a challenge in imaging. The aim of this study was to differentiate histopathologically-proven PCNSL and SCNSL by using 25 qualitative VASARI and five other MRI features. METHODS: MRIs of …

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Differentiating Multiple Myeloma and Osteolytic Bone Metastasis on Spinal CT Scan: A Comprehensive Study Using Convolutional Neural Network

Muhammet Kürşat Şimşek, Yusuf Kenan Çetinoğlu, Resul Bircan, Ali Balcı

Background: Accurate differentiation of spinal multiple myeloma (MM) and osteolytic metastatic bone tumor (OMBT) can be challenging. Usually, imaging methods, laboratory tests, and biopsy are performed for the correct diagnosis. In this study, we aimed to differentiate CT images from patients with …

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End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI

İlker Özgür Koska, Mustafa Alper Selver, Fazıl Mustafa Gelal, Muhsin Engin Uluç et autres

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Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations

İlker Özgür Koska, Mustafa Alper Selver, Fazıl Mustafa Gelal, Muhsin Engin Uluç et autres

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Voxel level dense prediction of acute stroke territory in DWI using deep learning segmentation models and image enhancement strategies

İlker Özgür Koska, Mustafa Alper Selver, Fazıl Mustafa Gelal, Muhsin Engin Uluç et autres

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