Yazar "Koplay, Mustafa." seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim
    Öğe
    Adrenal tumor characterization on magnetic resonance images
    (WILEY, 2020) Barstugan, Mucahid.; Ceylan, Rahime.; Asoglu, Semih.; Cebeci, Hakan.; Koplay, Mustafa.
    Adrenal tumors occur on adrenal glands and are generally detected on abdominal area scans. Adrenal tumors, which are incidentally detected, release vital hormones. These types of tumors that can be malignant affect body metabolism. Both of benign and malign adrenal tumors can have a similar size, intensity, and shape, this situation may lead to wrong decision during diagnosis and characterization of tumors. Thus, biopsy is done to confirm diagnosis of tumor types. In this study, adrenal tumor characterization is handled by using magnetic resonance images. In this way, it is wanted that patient can be disentangled from one or more imaging modalities (some of them can includes X-ray) and biopsy. An adrenal tumor image set, which includes five types of adrenal tumors and has 112 benign tumors and 10 malign tumors, was used in this study. Two data sets were created from the adrenal tumor image set by manually/semiautomatically segmented adrenal tumors and feature sets of these data sets are constituted by different methods. Two-dimensional gray-level co-occurrence matrix (2D-GLCM), gray-level run-length matrix (GLRLM), and two-dimensional discrete wavelet transform (2D-DWT) methods were analyzed to reveal the most effective features on adrenal tumor characterization. Feature sets were classified in two ways: benign/malign (binary classification) and type characterization (multiclass classification). Support vector machine and artificial neural network classified feature sets. The best performance on benign/malign classification was obtained by the 2D-GLCM feature set. The best results were assessed with sensitivity, specificity, accuracy, precision, and F-score metrics and they were 99.17%, 90%, 98.4%, 99.17%, and 99.13%, respectively. The highest classification performance on type characterization was obtained by the 2D-DWT feature set as 59.62%, 96.17%, 93.19%, 54.69%, and 54.94% for sensitivity, specificity, accuracy, precision, and F-score metrics, respectively.
  • Küçük Resim
    Öğe
    Case Series: Pericardial Gossypibomas Detected After Cardiovascular Surgery: Imaging Findings
    (2012) Erol, Cengiz.; Koplay, Mustafa.; Paksoy, Yahya.; Kanat, Fikret.
    We present the chest radiograph, computed tomography (CT), and magnetic resonance imaging (MRI) findings of three pericardial gossypibomas, which are rarely reported and an exceptional complication of cardiovascular surgery. The diagnosis is usually possible with surgical history, high clinical suspicion, and awareness of variable imaging findings. Usage of sponges with radiopaque markers facilitates early detection by chest radiographs and CT. In case of radiolucent gossypibomas, specific MRI features help to differentiate this pathology from other masses and diffusion-weighted images can be used to distinguish it from an abscess.
  • Küçük Resim
    Öğe
    A rare cause of exertional dyspnea and cyanosis in an adolescent patient: Pulmonary arteriovenous malformation and successful treatment
    (TURKISH SOC CARDIOLOGY, 2019) Direk, Nevin.; Sert, Ahmet.; Koplay, Mustafa.; Erdem, Abdullah.
    [Abstract not Available]
  • Küçük Resim
    Öğe
    Two-stage surgery for extra pelvic intravenous leiomyomatosis: Report of a case
    (TAYLOR & FRANCIS INC, 2019) Bayramoglu, Denizhan.; Orhan, Atilla.; Gul, Ayhan.; Sahin, Gozde.; Celik, Zeliha Esin.; Koplay, Mustafa.; Celik, Cetin.
    Intravenous leiomyomatosis (IVL) is a variant of leiomyoma characterised by intravascular proliferation and originates from the uterine mesoderm. The main pathogenesis of IVL has not been exactly assessed, yet (Xu et al. 2013; Li et al. 2014). There are two main theories; the first one is: a tumour arises from the walls of venous structures and the second one is: a primary tumour (e.g. myoma) directly spreads into adjacent small venouses (Moniaga and Randall 2012). The early studies have reported an incidence of 0.25–0.41% of IVL in patients with uterine fibroid tumours (Ma et al. 2016; Low et al. 2017). Here, we presented a case suspected of IVL during the operation; although it was reported as uterine sarcoma and vena cava inferior thrombus on radiological imaging methods, pre-operation.