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Başara Akın I, Özgül H, Altay C, Seçil M, Durak MG, Gürel D, Balcı P. Use of shear-wave elastography to distinguish complex and complicated fibroadenomas from simple fibroadenomas. Diagn Interv Radiol 2023; 29:674-681. [PMID: 36994883 PMCID: PMC10679553 DOI: 10.4274/dir.2022.221615] [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: 04/25/2022] [Accepted: 11/07/2022] [Indexed: 01/15/2023]
Abstract
PURPOSE Simple fibroadenomas (SFAs), complex fibroadenomas (CFAs), and cellular fibroadenomas (CeFAs) are variants of fibroadenomas. Additionally, some degenerative, hyperplastic, and metaplastic changes may occur in fibroadenomas, forming complicated fibroadenomas. Distinctive ultrasonography (US) features in variants of fibroadenomas and complicated fibroadenomas have not been reported. Shear-wave elastography (SWE) can be applied to effectively discriminate between these variants and complicated fibroadenomas. In this study, we aimed to evaluate SWE findings to discriminate between SFAs and other variants. METHODS In total, 48 patients (26 with SFAs, 16 with CFAs, 3 with CeFAs, and 3 with complicated fibroadenomas) participated in this study. The lesions were classified into two groups according to histopathologic diagnoses. The SWE evaluation and lesion elasticity scores (Emax, Emean, and Emin) were both assessed in m/s and k/Pa, respectively. Two observers measured Emax, Emean, and Emin. Brightness (B)-mode US findings based on the Breast Imaging Reporting and Data System categorization and elasticity scores were recorded. In the statistical analyses, the chi-square test and non-parametric tests were performed. Fisher's exact test was used to compare independent groups, and Spearman's correlation coefficients were used to correlate the SWE data between the two observers. Additionally, receiver operating characteristic curves were analyzed to evaluate the diagnostic performance of the elasticity values. RESULTS The B-mode US features in both groups showed no statistical significance. The set of SWE values of both observers demonstrated strong statistical significance in discriminating between group 1 (SFAs) and Group 2 (CFAs, CeFAs, and complicated fibroadenomas). CONCLUSION As the fibroadenoma variants and complicated fibroadenomas have similar US findings, SWE in addition to a conventional B-mode examination can increase the diagnostic performance to discriminate SFAs from other complex and complicated forms of fibroadenomas.
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Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Hakan Özgül
- Clinic of Radiology, Kemalpaşa State Hospital, İzmir, Turkey
| | - Canan Altay
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Mustafa Seçil
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Merih Güray Durak
- Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir Turkey
| | - Duygu Gürel
- Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir Turkey
| | - Pınar Balcı
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, 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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Başara Akın I, Aksoy SÖ, Sevinç Aİ, Balcı P. Breast hematoma with active bleeding due to seat belt injury. Turk J Surg 2023; 39:173-175. [PMID: 38026916 PMCID: PMC10681107 DOI: 10.47717/turkjsurg.2022.4580] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 01/30/2020] [Indexed: 12/01/2023]
Abstract
Breast emergencies are not frequent but play an important part in routine breast imaging applications. Diagnosis and identification of seat belt injury in emergency department are essential for patient management and early treatment of advanced cases. Herein we reported imaging findings of a patient who had prominent swollen at her left breast accompanying tissue edema and painful palpable mass formed by active bleeding hematoma as a result of seat belt injury due to a car accident. Radiologic examinations revealed hematoma in the breast accompanying active bleeding.
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Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Türkiye
| | - Süleyman Özkan Aksoy
- Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Türkiye
| | - Ali İbrahim Sevinç
- Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Türkiye
| | - Pınar Balcı
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Türkiye
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4
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Onur MR, Özbay Y, İdilman İ, Karaosmanoğlu AD, Uysal Ramadan S, Barlık F, Aydın S, Odaman H, Altay C, Başara Akın I, Dicle O, Appak Ö, Gülpınar B, Erden A, Kula S, Gürsöy Çoruh A, Kuru Öz D, Kul M, Uzun Ç, Karavaş E, Levent A, Artaş H, Eryeşil H, Solmaz O, Öztürk Kaygusuz T, Faraşat M, Kale AB, Düzgün F, Pekindil G, Apaydın FD, Nass Duce M, Balcı Y, Esen K, Sağır Kahraman A, Karaca L, Maraş Özdemir Z, Kahraman B, Tosun M, Nural MS, Çamlıdağ İ, Onar MA, Ballı K, Güler E, Harman M, Elmas NZ, Öztürk C, Güngör Ö, Herek D, Yağcı AB, Erol C, Şeker M, İşlek İ, Can Y, Aslan S, Karadeniz Bilgili MY, Göncüoğlu A, Keleş H, Bekin Sarıkaya PZ, Bakır B, Dağoğlu Kartal MG, Durak G, Yücel Oğuzdoğan G, Alper F, Yalçın A, Gürel S, Alan B, Gündoğdu E, Aydın N, Cansu A, Civan Kuş C, Ofluoğlu Tuncer E, Pişkin FC, Çolakoğlu Er H, Değirmenci B, Özmen MN, Kantarcı M, Karçaaltıncaba M. Evaluation of abdominal computed tomography findings in patients with COVID-19: a multicenter study. Diagn Interv Radiol 2023; 29:414-427. [PMID: 36960669 PMCID: PMC10679620 DOI: 10.4274/dir.2022.221575] [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: 04/09/2022] [Accepted: 07/13/2022] [Indexed: 01/14/2023]
Abstract
PURPOSE To evaluate the frequency of abdominal computed tomography (CT) findings in patients with coronavirus disease-2019 (COVID-19) and interrogate the relationship between abdominal CT findings and patient demographic features, clinical findings, and laboratory test results as well as the CT atherosclerosis score in the abdominal aorta. METHODS This study was designed as a multicenter retrospective study. The abdominal CT findings of 1.181 patients with positive abdominal symptoms from 26 tertiary medical centers with a positive polymerase chain-reaction test for severe acute respiratory syndrome coronavirus 2 were reviewed. The frequency of ischemic and non-ischemic CT findings as well as the association between CT findings, clinical features, and abdominal aortic calcific atherosclerosis score (AA-CAS) were recorded. RESULTS Ischemic and non-ischemic abdominal CT findings were detected in 240 (20.3%) and 328 (27.7%) patients, respectively. In 147 patients (12.4%), intra-abdominal malignancy was present. The most frequent ischemic abdominal CT findings were bowel wall thickening (n = 120; 10.2%) and perivascular infiltration (n = 40; 3.4%). As for non-ischemic findings, colitis (n = 91; 7.7%) and small bowel inflammation (n = 73; 6.2%) constituted the most frequent disease processes. The duration of hospital stay was found to be higher in patients with abdominal CT findings than in patients without any positive findings (13.8 ± 13 vs. 10.4 ± 12.8 days, P < 0.001). The frequency of abdominal CT findings was significantly higher in patients who did not survive the infection than in patients who were discharged after recovery (41.7% vs. 27.4%, P < 0.001). Increased AA-CAS was found to be associated with a higher risk of ischemic conditions in abdominal CT examinations. CONCLUSION Abdominal symptoms in patients with COVID-19 are usually associated with positive CT findings. The presence of ischemic findings on CT correlates with poor COVID-19 outcomes. A high AA-CAS is associated with abdominal ischemic findings in patients with COVID-19.
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Affiliation(s)
- Mehmet Ruhi Onur
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Yakup Özbay
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - İlkay İdilman
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | | | - Selma Uysal Ramadan
- Clinic of Radiology, University of Health Sciences Turkey, Ankara Atatürk Sanatorium Training and Research Hospital, Ankara, Turkey
| | - Funda Barlık
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Sonay Aydın
- Department of Radiology, Binali Yıldırım University Faculty of Medicine, Erzincan, Turkey
| | - Hüseyin Odaman
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Canan Altay
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Oğuz Dicle
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Özgür Appak
- Department of Medical Microbiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Başak Gülpınar
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Ayşe Erden
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Sezer Kula
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | | | - Diğdem Kuru Öz
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Melahat Kul
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Çağlar Uzun
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Erdal Karavaş
- Department of Radiology, Binali Yıldırım University Faculty of Medicine, Erzincan, Turkey
| | - Akın Levent
- Department of Radiology, Binali Yıldırım University Faculty of Medicine, Erzincan, Turkey
| | - Hakan Artaş
- Department of Radiology, Fırat University Faculty of Medicine, Elazığ, Turkey
| | - Hasan Eryeşil
- Department of Radiology, Fırat University Faculty of Medicine, Elazığ, Turkey
| | - Onur Solmaz
- Department of Radiology, Fırat University Faculty of Medicine, Elazığ, Turkey
| | - Türkkan Öztürk Kaygusuz
- Department of Infectious Diseases and Clinical Microbiology, Fırat University Faculty of Medicine, Elazığ, Turkey
| | - Mustafa Faraşat
- Department of Radiology, Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | - Ahmet Burak Kale
- Department of Radiology, Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | - Fatih Düzgün
- Department of Radiology, Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | - Gökhan Pekindil
- Department of Radiology, Celal Bayar University Faculty of Medicine, Manisa, Turkey
| | - F. Demir Apaydın
- Department of Radiology, Mersin University Faculty of Medicine, Mersin, Turkey
| | - Meltem Nass Duce
- Department of Radiology, Mersin University Faculty of Medicine, Mersin, Turkey
| | - Yüksel Balcı
- Department of Radiology, Mersin University Faculty of Medicine, Mersin, Turkey
| | - Kaan Esen
- Department of Radiology, Mersin University Faculty of Medicine, Mersin, Turkey
| | | | - Leyla Karaca
- Department of Radiology, İnönü University Faculty of Medicine, Malatya, Turkey
| | | | - Bayram Kahraman
- Clinic of Radiology, Specialist Doctor Bayram Kahraman Radiology Clinic, Malatya, Turkey
| | - Mesude Tosun
- Department of Radiology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
| | - Mehmet Selim Nural
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
| | - İlkay Çamlıdağ
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
| | - Mustafa Arda Onar
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
| | - Kaan Ballı
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Ezgi Güler
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Mustafa Harman
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Nevra Zehra Elmas
- Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey
| | - Cansu Öztürk
- Clinic of Radiology, University of Health Sciences Turkey, Ankara Atatürk Sanatorium Training and Research Hospital, Ankara, Turkey
| | - Özlem Güngör
- Clinic of Radiology, University of Health Sciences Turkey, Ankara Atatürk Sanatorium Training and Research Hospital, Ankara, Turkey
| | - Duygu Herek
- Department of Radiology, Pamukkale University Faculty of Medicine, Denizli, Turkey
| | - Ahmet Baki Yağcı
- Department of Radiology, Pamukkale University Faculty of Medicine, Denizli, Turkey
| | - Cengiz Erol
- Department of Radiology, Medipol University Faculty of Medicine, İstanbul, Turkey
| | - Mehmet Şeker
- Department of Radiology, Medipol University Faculty of Medicine, İstanbul, Turkey
| | - İrem İşlek
- Department of Radiology, Medipol University Faculty of Medicine, İstanbul, Turkey
| | - Yusuf Can
- Department of Radiology, Medipol University Faculty of Medicine, İstanbul, Turkey
| | - Serdar Aslan
- Department of Radiology, Giresun University Faculty of Medicine, Giresun, Turkey
| | | | - Alper Göncüoğlu
- Department of Radiology, Kırıkkale University Faculty of Medicine, Kırıkkale, Turkey
| | - Hatice Keleş
- Department of Internal Medicine, Kırıkkale University Faculty of Medicine, Kırıkkale, Turkey
| | | | - Barış Bakır
- Department of Radiology, İstanbul University, İstanbul Faculty of Medicine, İstanbul, Turkey
| | | | - Görkem Durak
- Department of Radiology, İstanbul University, İstanbul Faculty of Medicine, İstanbul, Turkey
| | - Gülşen Yücel Oğuzdoğan
- Clinic of Radiology, University of Health Sciences Turkey, Başakşehir Çam and Sakura City Hospital, İstanbul, Turkey
| | - Fatih Alper
- Department of Radiology, Atatürk University Faculty of Medicine, Erzurum, Turkey
| | - Ahmet Yalçın
- Department of Radiology, Atatürk University Faculty of Medicine, Erzurum, Turkey
| | - Safiye Gürel
- Department of Radiology, Bolu Abant İzzet Baysal University Faculty of Medicine, Bolu, Turkey
| | - Bircan Alan
- Department of Radiology, Bolu Abant İzzet Baysal University Faculty of Medicine, Bolu, Turkey
| | - Elif Gündoğdu
- Department of Radiology, Eskişehir Osmangazi University Faculty of Medicine, Eskişehir, Turkey
| | - Nevin Aydın
- Department of Radiology, Eskişehir Osmangazi University Faculty of Medicine, Eskişehir, Turkey
| | - Ayşegül Cansu
- Department of Radiology, Karadeniz Technical University Faculty of Medicine, Trabzon, Turkey
| | - Ceyda Civan Kuş
- Clinic of Radiology, Marmara University Training and Research Hospital, İstanbul, Turkey
| | - Elif Ofluoğlu Tuncer
- Clinic of Radiology, University of Health Sciences Turkey, Sultan 2. Abdulhamid Han Training and Research Hospital, İstanbul, Turkey
| | - Ferhat Can Pişkin
- Department of Radiology, Çukurova University Faculty of Medicine, Adana, Turkey
| | - Hale Çolakoğlu Er
- Department of Radiology, Ufuk University Faculty of Medicine, Ankara, Turkey
| | | | - Mustafa Nasuh Özmen
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Mecit Kantarcı
- Department of Radiology, Binali Yıldırım University Faculty of Medicine, Erzincan, Turkey
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5
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Altay C, Başara Akın I, Özgül AH, Adıyaman SC, Yener AS, Seçil M. Machine learning analysis of adrenal lesions: preliminary study evaluating texture analysis in the differentiation of adrenal lesions. Diagn Interv Radiol 2023; 29:234-243. [PMID: 36987841 PMCID: PMC10679711 DOI: 10.5152/dir.2022.21266] [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: 04/04/2021] [Accepted: 01/10/2022] [Indexed: 01/15/2023]
Abstract
PURPOSE This study aimed to determine the accuracy of texture analysis in differentiating adrenal lesions on unenhanced computed tomography (CT) images. METHODS In this single-center retrospective study, 166 adrenal lesions in 140 patients (64 women, 76 men; mean age 56.58 ± 13.65 years) were evaluated between January 2015 and December 2019. The lesions consisted of 54 lipid-rich adrenal adenomas, 37 lipid-poor adrenal adenomas (LPAs), 56 adrenal metastases (ADM), and 19 adrenal pheochromocytomas (APhs). Each adrenal lesion was segmented by manually contouring the borders of the lesion on unenhanced CT images. A texture analysis of the CT images was performed using Local Image Feature Extraction software. First-order and second-order texture parameters were assessed, and 45 features were extracted from each lesion. One-Way analysis of variance with Bonferroni correction and the Mann-Whitney U test was performed to determine the relationships between the texture features and adrenal lesions. Receiver operating characteristic curves were performed for lesion discrimination based on the texture features. Logistic regression analysis was used to generate logistic models, including only the texture parameters with a high-class separation capacity (i.e., P < 0.050). SPSS software was used for all statistical analyses. RESULTS First-order and second-order texture parameters were identified as significant factors capable of differentiating among the four lesion types (P < 0.050). The logistic models were evaluated to ascertain the relationships between LPA and ADM, LPA and APh, and ADM and APh. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the first model (LPA vs. ADM) were 85.7%, 70.3%, 81.3%, 76.4%, and 79.5%, respectively. The sensitivity, specificity, PPV, NPV, and accuracy of the second model (LPA vs. APh) were all 100%. The sensitivity, specificity, PPV, NPV, and accuracy of the third model (ADM vs. APh) were 87.5%, 82%, 36.8%, 98.2%, and 82.7%, respectively. CONCLUSION Texture features may help in the characterization of adrenal lesions on unenhanced CT images.
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Affiliation(s)
- Canan Altay
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Abdullah Hakan Özgül
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Süleyman Cem Adıyaman
- Department of Endocrinology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Abdullah Serkan Yener
- Department of Endocrinology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Mustafa Seçil
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
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6
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Çelik H, Başara Akın I, Durak MG, Balcı P. Multimodality imaging and histopathology of metaplastic breast cancer. Diagn Interv Radiol 2023; 29:59-67. [PMID: 36959869 PMCID: PMC10679585 DOI: 10.4274/dir.2022.221363] [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: 01/28/2022] [Accepted: 06/08/2022] [Indexed: 03/25/2023]
Abstract
Metaplastic breast cancer (MBC) is a rare subtype of invasive breast cancer characterized by mixed epithelial and mesenchymal differentiation. Commonly seen subtypes include squamous cell carcinoma, spindle cell carcinoma, and metaplastic carcinoma with heterologous mesenchymal differentiation. MBC tends to have a more aggressive clinical presentation, higher metastatic potential, higher rates of local recurrence, and a worse prognosis compared with invasive breast carcinoma of no special type. Most MBCs are triple-negative breast cancers, which explains their resistance to most systemic therapies. Therefore, accurately diagnosing MBC early is crucial for deciding the treatment strategy and predicting the prognosis. In this pictorial essay, the imaging findings of MBC in different modalities and the histopathologic features of its subtypes are reviewed.
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Affiliation(s)
- Hakkı Çelik
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Merih Güray Durak
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Pınar Balcı
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
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7
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Özgül HA, Başara Akın I, Altay C, Topalak ÖS, Seçil M. A Rare Diagnosis of Abdominal Pain. cjms 2022. [DOI: 10.4274/cjms.2020.1163] [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] [Indexed: 12/01/2022]
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8
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Özgül HA, Altay C, Başara Akın I, Bozkurt O, Demir Ö, Tuna EB, Yörükoğlu K, Seçil M. [Evaluation of solid pulmonary nodules in patients with bladder cancer with computed tomography based texture analysis method: Is it possible to differentiate metastatic - non-metastatic nodules?]. Tuberk Toraks 2021; 69:227-236. [PMID: 34256513 DOI: 10.5578/tt.20219812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Introduction Solid Pulmonary Nodule (SPN) is defined as parenchymal radiopacity smaller than 3 cm in diameter. Evaluating the metastatic nature of the SPNs detected in the thorax computed tomography (TCT) examination for staging purposes in cancer patients becomes a fundamental problem for the physician. Invasive procedures, additional imaging or follow-up imaging, are often used to differentiate metastatic and non-metastatic nodules. In this study, we aimed to distinguish SPNs detected in patients diagnosed with bladder cancer (BC) as metastatic and non-metastatic nodules by texture analysis. Materials and Methods TCT images of patients diagnosed with BC in our hospital from January 2007 until December 2017 were retrospectively evaluated. A total of 46 patients with SPN, including metastatic (n= 19) and non-metastatic (n= 27), were included in the study. Short axis diameter, long-axis diameter, nodule volume and volume histogram values of the nodules were obtained. Chisquare test was used to evaluate dependent variables, and the Mann-Whitney U test was used to evaluate independent variables. ROC curves of the obtained data were plotted. Statistically, the significant p-value was determined as less than 0.05. Result A significant difference was found between SPN long axis, short axis and volume values. In the volumetric histogram analysis, the maximum density value and the mean density value were found to be statistically significant. When the average of the highest densities in the volume histogram data was evaluated, the area under the curve value was 0.702 (95% CI, 519-854). The metastatic nodule could be distinguished with a sensitivity of 88% and a specificity of 70% when the volume histogram has the maximum density threshold of 50 HU. Conclusions In this study, we concluded that SPN detected on CT images can be distinguished as metastatic and non-metastatic nodules using texture analysis method without invasive procedures.
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Affiliation(s)
- Hakan Abdullah Özgül
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Canan Altay
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Ozan Bozkurt
- Department of Urology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Ömer Demir
- Department of Urology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Emine Burçin Tuna
- Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Kutsal Yörükoğlu
- Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Mustafa Seçil
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
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9
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Başara Akın I, Gürel D, Peker A, Tokatlı Çamkerten G, Aksoy SÖ, Sevinç Aİ, Balcı P. Conventional Imaging and Sonoelastography Findings of Oncocytic Breast Carcinoma in a Man. Eur J Breast Health 2020; 16:295-297. [PMID: 33062972 DOI: 10.5152/ejbh.2020.5865] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/26/2020] [Indexed: 11/22/2022]
Abstract
Oncocytic breast carcinoma (OBC) is one of the rare types of invasive breast carcinoma in according to the classification of The World Health Organization. Herein we represent imaging findings of a case of 69-year-old male patient with OBC.
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Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Duygu Gürel
- Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Ahmet Peker
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | | | - Süleyman Özkan Aksoy
- Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Ali İbrahim Sevinç
- Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
| | - Pınar Balcı
- Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey
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10
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Başara Akın I, Altay C, Bengi G, Tarhan O, Seçil M. Extremely rare cause of extrinsic compression of the stomach during esophagogastroduodenoscopy. Turk J Gastroenterol 2019; 30:1064-1065. [PMID: 31854313 DOI: 10.5152/tjg.2019.19046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Canan Altay
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Göksel Bengi
- Division of Gastroenterology, Department of Internal Medicine, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Oktay Tarhan
- Division of Oncology, Department of Internal Medicine, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Mustafa Seçil
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
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11
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Başara Akın I, Özgül HA, Gürel D, Aksoy SÖ, Balcı P. Elastography findings of encapsulated solid papillary carcinoma of breast in a man. Med Ultrason 2019; 21:491-493. [PMID: 31765460 DOI: 10.11152/mu-1904] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Encapsulated solid papillary carcinoma (ESPC) is one of the malignant papillary lesions and classified it as ductal carcinoma in situ. Radiologic features of ESPC have been reported in the literature many times. However, to our best knowledge US elastography findings of ESPC have not been reported in the published literature yet. In this case report, we present US elastography findings of ESPC.
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Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
| | - Hakan Abdullah Özgül
- Department of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
| | - Duygu Gürel
- Department of Pathology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
| | - Süleyman Özkan Aksoy
- Department of General Surgery, Dokuz Eylul University School of Medicine, Izmir, Turkey.
| | - Pınar Balcı
- Department of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
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12
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Akın IB, Altay C, Güler E, Çamlıdağ İ, Harman M, Danacı M, Tuna B, Yörükoğlu K, Seçil M. Discrimination of oncocytoma and chromophobe renal cell carcinoma using MRI. ACTA ACUST UNITED AC 2019; 25:5-13. [PMID: 30644365 DOI: 10.5152/dir.2018.18013] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PURPOSE We aimed to evaluate magnetic resonance imaging (MRI) features, including signal intensities, enhancement patterns and T2 signal intensity ratios to differentiate oncocytoma from chromophobe renal cell carcinoma (RCC). METHODS This retrospective study included 17 patients with oncocytoma and 33 patients with chromophobe RCC who underwent dynamic MRI. Two radiologists independently reviewed images blinded to pathology. Morphologic characteristics, T1 and T2 signal intensities were reviewed. T2 signal intensities, wash-in, wash-out values, T2 signal intensity ratios were calculated. Sensitivity and specificity analyses were performed. RESULTS Mean ages of patients with oncocytoma and chromophobe RCC were 61.0±11.6 and 58.5±14.0 years, respectively. Mean tumor size was 60.6±47.3 mm for oncocytoma, 61.7±45.9 mm for chromophobe RCC. Qualitative imaging findings in conventional MRI have no distinctive feature in discrimination of two tumors. Regarding signal intensity ratios, oncocytomas were higher than chromophobe RCCs. Renal oncocytomas showed higher signal intensity ratios and wash-in values than chromophobe RCCs in all phases. Fast spin-echo T2 signal intensities were higher in oncocytomas than chromophobe RCCs. CONCLUSION Signal intensity ratios, fast spin-echo T2 signal intensities and wash-in values constitute diagnostic parameters for discriminating between oncoytomas and chromophobes. In the excretory phase of dynamic enhanced images, oncocytomas have higher signal intensity ratio than chromophobe RCC and high wash-in values strongly imply a diagnosis of renal oncocytoma.
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Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Canan Altay
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Ezgi Güler
- Department of Radiology, Ege University School of Medicine, İzmir, Turkey
| | - İlkay Çamlıdağ
- Department of Radiology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
| | - Mustafa Harman
- Department of Radiology, Ege University School of Medicine, İzmir, Turkey
| | - Murat Danacı
- Department of Radiology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
| | - Burçin Tuna
- Department of Pathology, Dokuz Eylul University School of Medicine, İzmir, Turkey
| | - Kutsal Yörükoğlu
- Department of Pathology, Dokuz Eylul University School of Medicine, İzmir, Turkey
| | - Mustafa Seçil
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
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Altay C, Başara Akın I, Balcı P. Sternal diastasis; computerized tomography findings. Tuberk Toraks 2018; 66:266-267. [DOI: 10.5578/tt.67187] [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] [Indexed: 11/15/2022] Open
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15
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Köremezli Keskin N, Balcı P, Başara Akın I, Yavuz Gürkan E, Sevinç Aİ, Durak MG, Erşen Danyeli A. Detection of the differences in the apparent diffusion coefficient values in different
histopathological types of malignant breast lesions and comparison of cellular region/
stroma ratio and histopathological results. Turk J Med Sci 2018; 48:817-825. [PMID: 30119158 DOI: 10.3906/sag-1801-89] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Background/aim This study aimed to compare the apparent diffusion coefficient (ADC) values of malignant breast lesions with different
histopathological types on diffusion-weighted imaging (DWI) and the cellular region/stroma (CR/S) ratio and histopathological results. Materials and methods Breast diffusion-weighted magnetic resonance findings of 59 patients were retrospectively analyzed for
malignant breast lesions. The CR/S ratio was calculated using breast wide-excisional biopsy or mastectomy specimens. Results Receiver operating characteristic analysis was performed for malignant lesions and subtypes. An ADC threshold of 1.260 ×
10
–3
mm
2
/s was set to detect invasive ductal carcinoma with 80.8% sensitivity and 81.4% specificity. An ADC threshold of 1.391 × 10
–3
mm
2
/s was set to detect invasive lobular carcinoma lesions with 88.2% sensitivity and 79.5% specificity. The ADC value for lesions with
low CR/S ratio (n = 21) was 1.135 ± 0.429 × 10
–3
mm
2
/s and it was 1.155 ± 0.429 × 10
–3
mm
2
/s in the high CR/S ratio group (n = 18). Conclusion ADC value calculation does not seem to be used as an alternative for histopathological detection, which is the gold standard
for the differentiation of subtypes of malignant breast cancer. In addition, since there is a positive correlation between CR/S ratio and
ADC values, it may be a strong marker to evaluate the stromal component of lesions.
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Gezer NS, Balcı A, Kalemci O, Köremezli N, Başara Akın I, Ur K. Vertebral body bone mineral density in patients with lumbar spondylolysis: a quantitative CT study. Diagn Interv Radiol 2018; 23:385-389. [PMID: 28765098 DOI: 10.5152/dir.2017.16463] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE Spondylolysis is known to be a part of a disease process, which describes a defect in the pars interarticularis of vertebra. We aimed to use quantitative computed tomography (QCT) to measure vertebral body bone mineral density (BMD) in patients with lumbar spondylolysis and compare it with readings in controls. METHODS Forty symptomatic patients with lumbar spondylolysis aged 18-52 years and 40 matched controls of same sex and approximate age (±2 years) were included in the study. Measurements of BMD were performed by QCT analysis for each vertebral body from T12 to L5 and mean BMD was calculated for each case. RESULTS Of 40 patients, 22 (55%) demonstrated L5 spondylolysis, 14 (35%) L4 spondylolysis, three (7.5%) L3 spondylolysis, and one (2.5%) L2 spondylolysis. Spondylolisthesis was found in 29 patients (73%). Patients with spondylolisthesis were significantly older than patients without spondylolisthesis (42±6.9 vs. 37.2±5.4, P = 0.024). Mean BMD value of the patient group was significantly lower than that of the controls (105±24 mg/cm³ vs. 118.7±25.6 mg/cm³, P = 0.015). Subgroup analysis of 19 patients and 19 controls under the age of 40 revealed that the mean BMD value of the patients was significantly lower than that of the controls in the younger age group as well (108.7±23.5 mg/cm³ vs. 130±25.8 mg/cm³, P = 0.009). CONCLUSION This study demonstrated that patients with spondylolysis had significantly lower mean vertebral body BMD compared with controls.
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Affiliation(s)
- Naciye Sinem Gezer
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey.
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Gezer NS, Balcı P, Tuna KÇ, Akın IB, Barış MM, Oray NÇ. Utility of chest CT after a chest X-ray in patients presenting to the ED with non-traumatic thoracic emergencies. Am J Emerg Med 2017; 35:623-627. [DOI: 10.1016/j.ajem.2016.12.058] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Revised: 12/22/2016] [Accepted: 12/22/2016] [Indexed: 10/20/2022] Open
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Başara Akın I, Altay C, Balcı P. Imaging findings of pseudomesothelioma cases resulting from two different primary tumours. Tuberk Toraks 2016; 64:253-255. [PMID: 28393732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023] Open
Abstract
Pleural metastases mimic malignant mesothelioma result from rare tumours. The most common tumour that metastase to pleura is primary bronchogenic adenocarcinoma. Other primary lung tumours rarely matastase to pleura. Although lung is the most common site for renal cell carcinoma (RCC) metastases, pleural effusion and pleural matestases resulting pseudomesothelioma is very rare. Herein we report two cases of pseudomesothelioma resulting from small cell carcinoma and RCC.
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Affiliation(s)
- Işıl Başara Akın
- Department of Radiology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.
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