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Aslan Ö, Oktay A, Eroğlu F. Follow-up results of BI-RADS 3 lesions on magnetic resonance imaging: a retrospective study. Diagn Interv Radiol 2024. [PMID: 38293846 DOI: 10.4274/dir.2023.232393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
PURPOSE The categorization of Breast Imaging Reporting and Data System (BI-RADS) 3 lesions is not as clear in magnetic resonance imaging (MRI) as it is in mammography (MG). With the increasing number of MRI scans currently being conducted globally, incidentally detected lesions falling into the probably benign category are frequently being observed. In this study, our aim was to investigate the imaging characteristics and follow-up results of BI-RADS 3 lesions detected by MRI and to determine their malignancy rates. METHODS Breast MRI scans performed between January 2010 and January 2020 and classified as BI-RADS 3 lesions were retrospectively analyzed. The study included 216 lesions with known biopsy or surgical excision results or with at least one year of radiological follow-up. We assessed the patients' age, the presence of breast cancer, the follow-up interval, and the imaging findings at the beginning and during the follow-up. Lesions that remained stable, disappeared, or decreased in size and had a benign histopathological diagnosis were classified as benign. Lesions with the histopathological diagnosis of malignancy, identified by either biopsy or surgical excision, were classified as malignant. We determined the malignancy rate based on the histopathology and follow-up results. RESULTS Considering the follow-up results of all cases, 8% of lesions were excised, 0.5% decreased in size, 1.4% became enlarged, 17.1% disappeared, and 73% remained stable. The malignancy rate was 2.8%. A significant relationship was found between lesion shape and malignancy, as progression to malignancy was more likely in round lesions than in other types. An irregular margin, heterogeneous enhancement, and kinetic curve (type 2) features were significant for lesion upgrade to malignancy. CONCLUSION The malignancy rate in BI-RADS 3 lesions detected by MRI is low and falls within the accepted cancer rate for MG and sonography. Changes in size, morphology, and enhancement pattern should be considered in terms of malignancy development during follow-up. The follow-up intervals should be determined on a case-by-case basis.
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Affiliation(s)
- Özge Aslan
- Ege University Faculty of Medicine, Department of Radiology, İzmir, Turkey
| | - Ayşenur Oktay
- Ege University Faculty of Medicine, Department of Radiology, İzmir, Turkey
| | - Fatih Eroğlu
- Ege University Faculty of Medicine, Department of Radiology, İzmir, Turkey
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Oktay A, Aslan Ö, Taşkın F, Tunçbilek N, Esen İçten SG, Balcı P, Arıbal ME, Çelik L, Örgüç İŞ, Başaran Demirkazık F, Gültekin S, Aydın AM, Durmaz E, Kul S, Binokay F, Çetin M, Emlik GD, Akpınar MG, Kadıoğlu Voyvoda SN, Polat AV, Başara Akın I, Yıldız Ş, Poyraz N, Özsoy A, Öztekin PS, Elverici E, Bayrak İK, İkizceli T, Dinç F, Sezgin G, Gülşen G, Tunçbilek I, Yalçın SR, Çolakoğlu G, Ağlamış S, Yılmaz R, Rona G, Durhan G, Güner DC, Çelik Yabul F, Günbey Karabekmez L, Tutar B, Göktaş M, Buğdaycı O, Suner A, Özdemir N. Outcomes of high-risk breast lesions diagnosed using image-guided core needle biopsy: results from a multicenter retrospective study. Diagn Interv Radiol 2023; 29:579-587. [PMID: 36994925 PMCID: PMC10679644 DOI: 10.4274/dir.2022.221790] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 08/27/2022] [Indexed: 01/15/2023]
Abstract
PURPOSE The clinical management of high-risk lesions using image-guided biopsy is challenging. This study aimed to evaluate the rates at which such lesions were upgraded to malignancy and identify possible predictive factors for upgrading high-risk lesions. METHODS This retrospective multicenter analysis included 1.343 patients diagnosed with high-risk lesions using an image-guided core needle or vacuum-assisted biopsy (VAB). Only patients managed using an excisional biopsy or with at least one year of documented radiological follow-up were included. For each, the Breast Imaging Reporting and Data System (BI-RADS) category, number of samples, needle thickness, and lesion size were correlated with malignancy upgrade rates in different histologic subtypes. Pearson's chi-squared test, the Fisher-Freeman-Halton test, and Fisher's exact test were used for the statistical analyses. RESULTS The overall upgrade rate was 20.6%, with the highest rates in the subtypes of intraductal papilloma (IP) with atypia (44.7%; 55/123), followed by atypical ductal hyperplasia (ADH) (38.4%; 144/375), lobular neoplasia (LN) (12.7%; 7/55), papilloma without atypia (9.4%; 58/611), flat epithelial atypia (FEA) (8.7%; 10/114), and radial scars (RSs) (4.6%; 3/65). There was a significant relationship between the upgrade rate and BI-RADS category, number of samples, and lesion size Lesion size was the most predictive factor for an upgrade in all subtypes. CONCLUSION ADH and atypical IP showed considerable upgrade rates to malignancy, requiring surgical excision. The LN, IP without atypia, pure FEA, and RS subtypes showed lower malignancy rates when the BI-RADS category was lower and in smaller lesions that had been adequately sampled using VAB. After being discussed in a multidisciplinary meeting, these cases could be managed with follow-up instead of excision.
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Affiliation(s)
- Ayşenur Oktay
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Özge Aslan
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Füsun Taşkın
- Department of Radiology, Acıbadem MAA University Faculty of Medicine; Acıbadem MAA University Senology Research Institute, Acıbadem Atakent Hospital, İstanbul, Turkey
| | - Nermin Tunçbilek
- Department of Radiology, Trakya University Faculty of Medicine, Edirne, Turkey
| | - Selma Gül Esen İçten
- Department of Radiology, Acıbadem MAA University Faculty of Medicine; Acıbadem MAA University Senology Research Institute, İstanbul, Turkey
| | - Pınar Balcı
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Mustafa Erkin Arıbal
- Department of Radiology, Acıbadem MAA University Faculty of Medicine, İstanbul, Turkey
| | - Levent Çelik
- Department of Radiology, Maltepe University Faculty of Medicine; İstanbul, Turkey
| | - İhsan Şebnem Örgüç
- Department of Radiology, Manisa Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | | | - Serap Gültekin
- Department of Radiology, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Ayşe Murat Aydın
- Department of Radiology, Fırat University Faculty of Medicine, Elazığ, Turkey
| | - Emel Durmaz
- Department of Radiology, Akdeniz University Faculty of Medicine, Antalya, Turkey
| | - Sibel Kul
- Department of Radiology, Karadeniz Techinal University Faculty of Medicine, Trabzon, Turkey
| | - Figen Binokay
- Department of Radiology, Çukurova University Faculty of Medicine, Adana, Turkey
| | - Meltem Çetin
- Department of Radiology, Süleyman Demirel University Faculty of Medicine, Isparta, Turkey
| | - Ganime Dilek Emlik
- Department of Radiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | | | - Sadiye Nuray Kadıoğlu Voyvoda
- Department of Radiology, University of Health Sciences Turkey, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
| | - Ahmet Veysel Polat
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
| | - Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Şeyma Yıldız
- Department of Radiology, Bezmialem Vakıf University Faculty of Medicine, İstanbul, Turkey
| | - Necdet Poyraz
- Department of Radiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Arzu Özsoy
- Department of Radiology, University of Health Sciences Turkey, Ankara City Hospital, Ankara, Turkey
| | - Pelin Seher Öztekin
- Department of Radiology, Ankara Training and Research Hospital, Ankara, Turkey
| | - Eda Elverici
- Department of Radiology, University of Health Sciences Turkey, Ankara City Hospital, Ankara, Turkey
| | - İlkay Koray Bayrak
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
| | - Türkan İkizceli
- Department of Radiology, University of Health Sciences Turkey, İstanbul Haseki Training and Research Hospital, İstanbul, Turkey
| | - Funda Dinç
- Department of Radiology, Muğla Sıtkı Koman University Faculty of Medicine, Muğla Turkey
| | - Gülten Sezgin
- Department of Radiology, İzmir Katip Çelebi University, Atatürk Training and Research Hospital, İzmir, Turkey
| | - Gökçe Gülşen
- Department of Radiology, University of Health Sciences Turkey, İstanbul Haseki Training and Research Hospital, İstanbul, Turkey
| | - Işıl Tunçbilek
- Department of Radiology, Medsentez Private Clinic, Ankara, Turkey
| | | | - Gül Çolakoğlu
- Department of Radiology, University of Health Sciences Turkey, İzmir Tepecik Training and Research Hospital, İzmir, Turkey
| | - Serpil Ağlamış
- Department of Radiology, Fırat University Faculty of Medicine, Elazığ, Turkey
| | - Ravza Yılmaz
- Department of Radiology, İstanbul University, İstanbul Faculty of Medicine, İstanbul, Turkey
| | - Günay Rona
- Department of Radiology, University of Health Sciences Turkey, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
| | - Gamze Durhan
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Davut Can Güner
- Department of Radiology, Maltepe University Faculty of Medicine; İstanbul, Turkey
| | - Fatma Çelik Yabul
- Department of Radiology, Bezmialem Vakıf University Faculty of Medicine, İstanbul, Turkey
| | - Leman Günbey Karabekmez
- Department of Radiology, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
| | - Burçin Tutar
- Department of Radiology, Acıbadem Maslak Hospital, İstanbul, Turkey
| | - Muhammet Göktaş
- Department of Radiology, Ministry of Health Çerkezköy State Hospital, İstanbul, Turkey
| | - Onur Buğdaycı
- Department of Radiology, Marmara University Faculty of Medicine, İstanbul, Turkey
| | - Aslı Suner
- Department of Biostatistics and Medical Informatics, Ege University Faculty of Medicine, İzmir, Turkey
| | - Necmettin Özdemir
- Department of Medical Pathology, Ege University Faculty of Medicine, İzmir, Turkey
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Aslan Ö, Oktay A, Katuk B, Erdur RC, Dikenelli O, Yeniay L, Zekioğlu O, Özbek SS. Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study. Diagn Interv Radiol 2023; 29:260-267. [PMID: 36987868 PMCID: PMC10679697 DOI: 10.5152/dir.2022.211047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/16/2022] [Indexed: 01/14/2023]
Abstract
PURPOSE High-risk breast lesions (HRLs) are associated with future risk of breast cancer. Considering the pathological subtypes, malignancy upgrade rate differs according to each subtype and depends on various factors such as clinical and radiological features and biopsy method. Using artificial intelligence and machine learning models in breast imaging, evaluations can be made in terms of risk estimation in different research areas. This study aimed to develop a machine learning model to distinguish HRL cases requiring surgical excision from lesions with a low risk of accompanying malignancy. METHODS A total of 94 patients who were diagnosed with HRL by image-guided biopsy between January 2008 and March 2020 were included in the study. A structured database was created with clinical and radiological characteristics and histopathological results. A machine learning prediction model was created to make binary classifications of lesions as malignant or benign. Random forest, decision tree, K-nearest neighbors, logistic regression, support vector machine (SVM), and multilayer perceptron machine learning algorithms were used. Among these algorithms, SVM was the most successful. The estimations of malignancy for each case detected by artificial intelligence were combined and statistical analyses were performed. RESULTS Considering all cases, the malignancy upgrade rate was 24.5%. A significant association was observed between malignancy upgrade rate and lesion size (P = 0.004), presence of mammography findings (P = 0.022), and breast imaging-reporting and data system category (P = 0.001). A statistically significant association was also found between the artificial intelligence prediction model and malignancy upgrade rate (P < 0.001). With the SVM model, an 84% accuracy and 0.786 area-underthe- curve score were obtained in classifying the data as benign or malignant. CONCLUSION Our artificial intelligence model (SVM) can predict HRLs that can be followed up with a lower risk of accompanying malignancy. Unnecessary surgeries can be reduced, or second line vacuum excisions can be performed in HRLs, which are mostly benign, by evaluating on a case-by-case basis, in line with radiology-pathology compatibility and by using an artificial intelligence model.
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Affiliation(s)
- Özge Aslan
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Ayşenur Oktay
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Başak Katuk
- Department of Computer Engineering, Ege University, İzmir, Turkey
| | - Riza Cenk Erdur
- Department of Computer Engineering, Ege University, İzmir, Turkey
| | - Oğuz Dikenelli
- Department of Computer Engineering, Ege University, İzmir, Turkey
| | - Levent Yeniay
- Department of General Surgery, Ege University Faculty of Medicine, İzmir, Turkey
| | - Osman Zekioğlu
- Department of Medical Pathology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Süha Süreyya Özbek
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
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Gürsoy M, Aslan Ö, Oktay Alfatlı A, Zekioğlu O, Göktepe B. Radiological and clinicopathological findings of breast cancer during the COVID-19 pandemic: a comparative study with the pre-pandemic era. Diagn Interv Radiol 2023; 29:53-58. [PMID: 36959768 PMCID: PMC10679590 DOI: 10.5152/dir.2022.21646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/18/2021] [Indexed: 01/14/2023]
Abstract
PURPOSE The diagnosis and surgical treatment delays that occurred during the coronavirus disease-2019- (COVID-19) pandemic may have affected breast cancer presentation. This study aimed to determine whether there was a difference in the clinicopathological characteristics of breast cancers during the pandemic by comparing them with similar cases from the previous year. The study also aimed to determine the radiological findings of breast cancers during the pandemic. METHODS A retrospective review was made of patients who underwent surgery for breast cancer between March 11, 2020, and December 11, 2020 (the pandemic group). These patients were compared with similar patients from the previous year (the pre-pandemic group). The postoperative histopathology results of both groups were compared, and the preoperative radiological findings of the pandemic group were defined. RESULTS There were 71 patients in the pandemic group and 219 patients in the pre-pandemic group. The tumor size was significantly greater, lymph node involvement was more frequent, and waiting time for surgery was longer in the pandemic group (P < 0.001, P = 0.044, P = 0.001, respectively). There was no significant difference between the groups in respect of in situ/invasive tumor distribution, histological type and histological grade of tumor, the presence of lymphovascular/perineural invasion, multifocal/multicentric focus, and Breast Imaging Reporting and Data System Classification (P > 0.15). The radiologic findings of breast cancer during the pandemic typically showed characteristics of malignancy. CONCLUSION Patients diagnosed with breast cancer during the COVID-19 pandemic had larger tumor sizes, more frequent lymph node involvement and longer waiting time for surgical treatment. Screening programs should be continued as soon as possible by taking necessary precautions.
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Affiliation(s)
- Merve Gürsoy
- Department of Radiology, İzmir Katip Çelebi University Faculty of Medicine, İzmir, Turkey
| | - Özge Aslan
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | | | - Osman Zekioğlu
- Department of Pathology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Berk Göktepe
- Department of General Surgery, Ege University Faculty of Medicine, İzmir, Turkey
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Oktay A, Esmat HA, Aslan Ö, Mirzafarli I. Lupus Mastitis in a Young Female Mimicking a Breast Carcinoma; a Rare Entity Through a Case Report and Review of the Literature. Eur J Breast Health 2022; 18:13-15. [DOI: 10.4274/ejbh.galenos.2021.6361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 02/01/2021] [Indexed: 12/01/2022]
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Aslan Ö, Oktay A, Serin G, Yeniay L, Aghamirzayev O. Breast Hemangioma Evaluation with Magnetic Resonance Imaging: A Rare Case Report. Eur J Breast Health 2022; 18:190-194. [DOI: 10.4274/ejbh.galenos.2021.6278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/30/2021] [Indexed: 12/01/2022]
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Oktay A, Esmat HA, Aslan Ö. Fibroepithelial Breast Tumors in a Teenager with Beckwith-Wiedemann Syndrome: A Case Report and Review of Literature. Eur J Breast Health 2021; 17:288-291. [PMID: 34263158 DOI: 10.4274/ejbh.galenos.2021.6271] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/23/2021] [Indexed: 12/01/2022]
Abstract
Beckwith-Wiedemann syndrome (BWS) is a human genomic imprinting disorder that presents with a wide spectrum of clinical features, including overgrowth, abdominal wall defects, macroglossia, neonatal hypoglycemia, and predisposition to embryonal tumors. Its diagnosis is based on molecular tests or clinical signs. However, in children with features of BWS who do not fulfill the clinical diagnostic criteria, the molecular tests may play an important role in the diagnosis. There is an increased risk of embryonal tumors in patients with BWS, but few case reports have been reported on benign breast tumors in female adolescents with this syndrome. To our knowledge, this is the first case report in the literature that describes the imaging findings of fibroepithelial breast tumors (phyllodes tumor and fibroadenomas) in a 13-year-old female with BWS, highlighting the need for lifelong tumor surveillance in this patient population.
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Affiliation(s)
- Ayşenur Oktay
- Department of Radiology, Ege University, İzmir, Turkey
| | - Habib Ahmad Esmat
- Department of Radiology, Kabul University of Medical Sciences, Kabul, Afghanistan
| | - Özge Aslan
- Department of Radiology, Ege University, İzmir, Turkey
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Aslan Ö, Bayraktaroğlu S, Çinkooğlu A, Ceylan N, Savaş R, Oktay A. Prevalence of Incidental Gynecomastia by Chest Computed Tomography in Patients with a Prediagnosis of COVID-19 Pneumonia. Eur J Breast Health 2021; 17:173-179. [PMID: 33870118 DOI: 10.4274/ejbh.galenos.2021.6251] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/06/2021] [Indexed: 12/01/2022]
Abstract
Objective In this study, we aimed to determine the prevalence of gynecomastia by evaluating computed tomography (CT) images of male patients who were admitted to our hospital during the coronavirus disease-2019 (COVID-19) pandemic. Materials and Methods This study included a total of 1,877 patients who underwent chest CT for prediagnosis of COVID-19 pneumonia between March 15th and May 15th, 2020. All images were evaluated for the presence of gynecomastia. Gynecomastia patterns were evaluated according to morphological features, and diagnoses were made by measuring the largest glandular tissue diameter. Statistical analysis was performed with IBM SPSS software version 25.0. Results The prevalence of gynecomastia was 32.3%. In terms of pattern, 22% were nodular, 57% were dendritic, and 21% were diffuse glandular gynecomastia. A significant correlation was found between age and gynecomastia pattern (p<0.001). The incidence of nodular, dendritic, and diffuse glandular gynecomastia increased with advancing age. A significant difference was found in the analysis of the correlation between age groups and glandular tissue diameters (p<0.001). With an increase in glandular tissue diameter, the gynecomastia pattern changed from a nodular to a diffuse glandular pattern. Conclusion In our study, gynecomastia diagnosis was made through axial CT images. Although CT should not replace mammography and ultrasonography for clinical diagnosis of gynecomastia, chest CT scans can be used to evaluate patients with suspected gynecomastia.
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Affiliation(s)
- Özge Aslan
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | | | - Akın Çinkooğlu
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Naim Ceylan
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Recep Savaş
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Ayşenur Oktay
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
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Abstract
We present here a rare case of barotraumatic orbital blowout fracture. An 18-year-old man with sudden swelling of the right orbital region after severe and prolonged sneezing attack presented to our emergency department. Computed tomographic examination demonstrated a blowout fracture of the right orbital floor, which led to orbital emphysema and herniation of the orbital soft tissue. He was managed with nasal decongestants, steroids, anti-inflammatory drugs and an antibiotic. He developed no visual disturbance subsequently. (Hong Kong j.emerg.med. 2015;22:256-258)
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Affiliation(s)
- F Yilmaz
- Ankara Numune Education and Research Hospital, Emergency Medicine Departmant, Ankara/Turkey
| | - M Özlem
- Ankara Numune Education and Research Hospital, Emergency Medicine Departmant, Ankara/Turkey
| | - Ö Aslan
- Bolu State Hospital, Emergency Medicine Departmant, Bolu/ Turkey
| | - C Yel
- Ankara Numune Education and Research Hospital, Emergency Medicine Departmant, Ankara/Turkey
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Edem E, Aslan Ö, Göldeli Ö, Güneri S, Ozpelit E, Aytemiz F. PP-309 MORTALITY DETERMINANTS IN ICD (IMPLANTABLE CARDIOVERTER DEFIBRILLATOR) IMPLANTED PATIENTS. Int J Cardiol 2013. [DOI: 10.1016/s0167-5273(13)70513-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Özkurt Y, Aslan Ö, Özpelit E, Arslan A, Koyuncu I, Simsek M, Ekinci M, Çil A, Eyuboglu M, Aytemiz F, Ünal B, Yildiz Z. OP-108 THE RELATIONSHIP BETWEEN BNP, DIASTOLIC PARAMETERS AND HEART RATE IN PATIENTS WITH PERSISTANT ATRIAL FIBRILLATION. Int J Cardiol 2012. [DOI: 10.1016/s0167-5273(12)70056-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Koban E, Tas A, Aslan Ö, Akkoc T, Arat S, Bagis H. 265 SEXING OF BOVINE EMBRYOS BASED ON PCR TECHNIQUE. Reprod Fertil Dev 2009. [DOI: 10.1071/rdv21n1ab265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Turkish cattle breeds are well adapted to harsh environmental and poor feeding conditions. However, their productivity is low. Increasing fertility rate and obtaining a high number of progeny from high-quality animals are important parameters in animal husbandry. The objective of the present project is to produce sexed embryos and cryopreserve them for subsequent transfer. The birth of the calves produced from the transferred embryos with sex determined prior to transfer by PCR are additional objectives of the study. To develop and optimize the PCR method, DNA was first isolated by using standard phenol-chloroform extraction from blood samples of cows and bulls to use as positive control. Then two multiplex PCR methods were developed using one autosomal (bovine 1.715 satellite locus which produces 216 bp long PCR product), and two Y-chromosome specific loci BRY4.a (300 bp) and BRY1 (300 bp). Both multiplexes include bovine 1.715 satellite locus, and they either include BRY4.a or BRY.1 as the second locus. Female individuals produce one PCR band, whereas male individuals produce two PCR bands. Bovine parthenogenetic blastocysts were used to test these two multiplex PCR methods. Immature bovine oocytes were aspirated from slaughterhouse material and in vitro matured in tissue culture medium-199 (TCM-199) supplemented with 10% FCS, sodium pyruvate, EGF, bLH, bFSH and penicillin/streptomycin for 18 h at 39°C and 5% CO2 in humidified air. After removing the cumulus cells of matured oocytes (MII), meiotic spindles and first polar bodies were removed. Oocyte-cell complexes were fused by one 30 μs pulse of 133V/500 μm. All fusion units were subjected to chemical activation. Afterwards, parthenogenetic oocytes were cultured in Sage cleavage® medium supplemented with 8 mg mL–1 BSA for 72 h and then developing embryos were cultured in Sage blastocyst® media supplemented with 4 mg mL–1 BSA + 5% FCS for 4 additional days. Then they were stored at –20°C until DNA extraction. For DNA extraction two methods (Park et al. 2001 Theriogenology 55, 1843–1853; Tshimangadzo et al. 2004 Biol. Reprod. 71, 1671–1676) were employed to test their efficiency in our laboratory conditions, and we got better results with the former method. Repeated PCR tests of these parthenogenetic blastocysts were carried out and tests revealed only one PCR product of 216 bp corresponding to the 1.715 satellite locus as expected. The multiplex PCR methods will also be employed for Nuclear Transfer and IVF embryos.
This project is supported by Turkish Scientific and Technical Research Council-TOVAG (project no: KAMAG 107G027).
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İdilman R, Üstün C, Aslan Ö, Özcan M, Arat M, Bozkaya H, Bozdayı M, Şengezer T, Uzunalimoğlu Ö, Dökmeci A, İlhan O, Koç H, Akan H. The Incidence of Hepatitis G Virus in Patients with Hematological Malignancies: The Relationship to the Number of Blood and Blood Products Transfusions. Turk J Haematol 2000; 16:67-71. [PMID: 27265856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023] Open
Abstract
The hepatitis G virus has been detected in patients with post-transfusion hepatitis. The precise transmission rate of the hepatitis G virus is not clear. This study aims to investigate the transmission rate of HGV and the relationship between the number of blood transfusions and the blood products used in multitransfused patients with hematological malignancies. Serum samples were obtained from 80 patients with hematologic malignancies hospitalized between January 1997 and December 1998 at Ibn'i Sina Hospital, University of Ankara. The patients were divided into three groups according to transfusion numbers. Group A received between 0 and 10 units of blood and blood products, Group B received 10-20 units, and Group C received more than 20 units. All patients received blood and blood products for a median of 6.8 Units/whole life. The hepatitis G virus was detected using the reverse transcription polymerase chain reaction. Of the eighty patients, four (5.0 %) were HBs-Ag positive, one (1.25%) was Anti-HCV positive, and one (1.25%) was HGV-RNA positive. Multiple blood transfusions may be an important risk factor for transmission-transmitted viral infections, but based upon the present experience, there is no significant relationship between the number of blood transfusions and blood products and the transmission rate of HGV infection in patients with hematological malignancies.
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