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    AN EFFICIENT ALGORITHM FOR AUTOMATIC TUMOR DETECTION IN CONTRAST ENHANCED BREAST MRI BY USING ARTIFICIAL NEURAL NETWORK (NEUBREA)
    (ACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCE, 2013) Bayram, Bulent; Koca, Hilmi K.; Narin, Burcu; Cavdaroglu, G. Cigdem; Celik, Levent; Acar, Ugur; Cubuk, Rahmi
    The advances in image processing technology contribute to the interpretation of medical images and early diagnosis. Moreover various studies can be found in medical journals dedicated to Artificial Neural Networks (ANN). In the presented study, a method was developed to learn and detect benign and malignant tumor types in contrast-enhanced breast magnetic resonance images (MRI). The backpropagation algorithm was taken as the ANN learning algorithm. The algorithm (NEUBREA) was developed in C# programming language by using Fast Artificial Neural Network Library (FANN). Having been diagnosed by radiologists, 7 cases of malignant tumor, 8 cases of benign tumor, and 3 normal cases were used as a training set. The results were tested on 34 cases that had been diagnosed by radiologists. After the comparison of the results, the overall accuracy of algorithm was defined as 92%.
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    Polisplenizm ile karakterize erişkin situs ambiguous olgusu
    (Galenos Yayınevi, 2006) Özkurt, Hüseyin; Narin, Burcu; Akman, Alper; Tasalı, Nuri; Çelik, Levent
    Situs ambiguous is a rare anomaly that is characterised by abnormal arrangement of abdominal organs with congenital heart diseases. Patients rarely survive beyond first decade of life as this anomaly generally coexists with cyanotic heart diseases. The correct recogniation and characterisation of cases is important for planning surgical, radiologic and endoscoping interventions. In this case we present an incidentally diagnosed case with midline located liver, multiple spleens and stomach in the right upper quadrant, interruptured inferior vena cava with azygos continuation. The heart was left sided and there was no sign of congenital cardiac anomaly. Hereby we present this case as it was found incidentally at adult age and there was no accompanying congenital heart anomaly.
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    Vacuum-assisted stereotactic biopsy for isolated BI-RADS 4 microcalcifications: evaluation with histopathology and midterm follow-up results
    (AVES, 2015) Atasoy, Mehmet Mahir; Tasali, Nuri; Cubuk, Rahmi; Narin, Burcu; Deveci, Uğur; Yener, Nese; Celik, Levent; Deveci, Uğur
    PURPOSE The aim of this study was to evaluate the 10-gauge vacuum-assisted stereotactic biopsy (VASB) of isolated Breast Imaging Reporting and Data System (BI-RADS) 4 microcalcifications, using histology and follow-up results. METHODS From January 2011 to June 2013, VASB was performed on 132 lesions, and 66 microcalcification-only lesions of BI-RADS 4 were included into our study. VASB was performed using lateral decubitis stereotaxy for all patients. Pathologic results of VASB and further surgical biopsies were reviewed retrospectively. Patients who were diagnosed to have benign lesions by VASB were referred for follow-up. VASB and surgical histopathology results were compared to determine the underestimation ratios. RESULTS Fifteen out of 66 lesions from 63 patients (median age, 47 years; range, 34-88 years) were identified as malignant by VASB. Pathological results after surgery revealed three cases of invasive ductal carcinoma among the 12 VASB-diagnosed ductal carcinoma in situ (DCIS) lesions, for a DCIS underestimation rate of 25%. The atypical ductal hyperplasia underestimation rate was 0% for the three lesions. The follow-up period was at least 10 months, with an average of 22.7 months for all patients and 21.2 months for patients with VASB-diagnosed benign lesions. None of the patients had malignancy during the follow-ups. The false-negative rate was 0% in the follow-up of 48 patients. CONCLUSION VASB should be the standard method of choice for BI-RADS 4 microcalcifications. This method obviates the need for a surgical procedure in 73% of BI-RADS 4 microcalcification-only patients.