Araştırma Çıktıları
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Item Improvement of early detection of breast cancer through collaborative multi-country efforts: Medical physics component(ELSEVIER SCI LTD, 2018-01-01) Mora, Patricia; Faulkner, Keith; Mahmoud, Ahmed M.; Gershan, Vesna; Kausik, Aruna; Zdesar, Urban; Brandan, Maria-Ester; Kurth, Serap; Davidovic, Jasna; Salama, Dina H.; Aribal, Erkin; Odio, Clara; Chaturvedi, Arvind K.; Sabih, Zahida; Vujnovic, Sasa; Paez, Diana; Delis, HarryPurpose: The International Atomic Energy Agency (IAEA) through a Coordinated Research Project on ``Enhancing Capacity for Early Detection and Diagnosis of Breast Cancer through Imaging{''}, brought together a group of mammography radiologists, medical physicists and radiographersItem Poor Biological Factors and Prognosis of Interval Breast Cancers: Long-Term Results of Bahceehir (Istanbul) Breast Cancer Screening Project in Turkey(AMER SOC CLINICAL ONCOLOGY, 2020-01-01) Cabioglu, Neslihan; Guerdal, Sibel OEzkan; Kayhan, Arda; OEzaydin, Niluefer; Sahin, Cennet; Can, OEmuer; OEzcinar, Beyza; Aykuter, Goenuel; Vatandas, Guelcin; Aribal, Erkin; OEzmen, VahitPURPOSE The Turkish Bahceehir Breast Cancer Screening Project was a 10-year, organized, population-based screening program carried out in Bahceehir county, Istanbul. Our aim was to examine the biologic features and outcome of screen-detected and interval breast cancers during the 10-year study period. METHODS Between 2009 and 2019, 2-view mammograms were obtained at 2-year intervals for women aged 40 to 69 years. Clinicopathological characteristics including ER, PR, HER2-neu, and Ki-67 status were analyzed for those diagnosed with breast cancer. RESULTS In 8,758 screened women, 131 breast cancers (1.5\%) were detected. The majority of patients (82.3\%) had prognostic stage 0-I disease. Contrarily, patients with interval cancers (n = 15Item Bahcesehir long-term population-based screening compared to National Breast Cancer Registry Data: effectiveness of screening in an emerging country(TURKISH SOC RADIOLOGY, 2021-01-01) Gurdal, Sibel Ozkan; Ozaydin, Ayse Nilufer; Aribal, Erkin; Ozcinar, Beyza; Cabioglu, Neslihan; Sahin, Cennet; Ozmen, VahitPURPOSE We aimed to show the effects of long-term screening on clinical, pathologic, and survival outcomes in patients with screen-detected breast cancer and compare these findings with breast cancer patients registered in the National Breast Cancer Registry Data (NBCRD). METHODS Women aged 40-69 years, living in Bahcesehir county, Istanbul, Turkey, were screened every 2 years using bilateral mammography. The Bahcesehir National Breast Cancer Registry Data (BMSP) data were collected during a 10-year screening period (five rounds of screening). BMSP data were compared with the NBCRD regarding age, cancer stage, types of surgery, tumor size, lymph node status, molecular subtypes, and survival rates. RESULTS During the 10-year screening period, 8758 women were screened with 22621 mammograms. Breast cancer was detected in 130 patientsItem Comparison of Qualitative and Volumetric Assessments of Breast Density and Analyses of Breast Compression Parameters and Breast Volume of Women in Bahcesehir Mammography Screening Project(GALENOS YAYINCILIK, 2020-01-01) Gemici, Aysegul Akdogan; Aribal, Erkin; Ozaydin, Ayse Nilufer; Gurdal, Sibel Ozkan; Ozcinar, Beyza; Cabioglu, Neslihan; Ozmen, VahitObjective: We aimed to compare visual and quantitative measurements of breast density and to reveal the density profile with compression characteristics. Materials and Methods: Screening mammograms of 1399 women between May 2014 and May 2015 were evaluated by using Volpara 4th and 5th version. First 379 mammograms were assessed according to ACR BI-RODS 4th- edition and compared to Volpara. We categorized the breast density in two subgroups as dens or non-dens. Two radiologists reviewed the images in consensus. Agreement level between visual and volumetric methods and volumetric methods between themselves assessed using weighted kappa statistics. Volpara data such as fibroglandular volume (FGV), breast volume (BV), compression thickness (CT), compression force (CF), compression pressure (CP) were also analyzed with relation to the age. Results: 1399 mammograms were distributed as follows: 12.7\% VDG1, 39.3\% VDG2, 34.1\% VDG3, 13.9\% VDG4 according to the 4th edition of VolparaItem Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis(SAGE PUBLICATIONS INC, 2022-01-01) Kizildag Yirgin, Inci; Koyluoglu, Yilmaz Onat; Seker, Mustafa Ege; Ozkan Gurdal, Sibel; Ozaydin, Ayse Nilufer; Ozcinar, Beyza; Cabioglu, Neslihan; Ozmen, Vahit; Aribal, ErkinPurpose: To evaluate the performance of an artificial intelligence (AI) algorithm in a simulated screening setting and its effectiveness in detecting missed and interval cancers. Methods: Digital mammograms were collected from Bahcesehir Mammographic Screening Program which is the first organized, population-based, 10-year (2009-2019) screening program in Turkey. In total, 211 mammograms were extracted from the archive of the screening program in this retrospective study. One hundred ten of them were diagnosed as breast cancer (74 screen-detected, 27 interval, 9 missed), 101 of them were negative mammograms with a follow-up for at least 24 months. Cancer detection rates of radiologists in the screening program were compared with an AI system. Three different mammography assessment methods were used: (1) 2 radiologists' assessment at screening center, (2) AI assessment based on the established risk score threshold, (3) a hypothetical radiologist and AI team-up in which AI was considered to be the third reader. Results: Area under curve was 0.853 (95\% CI = 0.801-0.905) and the cut-off value for risk score was 34.5\% with a sensitivity of 72.8\% and a specificity of 88.3\% for AI cancer detection in ROC analysis. Cancer detection rates were 67.3\% for radiologists, 72.7\% for AI, and 83.6\% for radiologist and AI team-up. AI detected 72.7\% of all cancers on its own, of which 77.5\% were screen-detected, 15\% were interval cancers, and 7.5\% were missed cancers. Conclusion: AI may potentially enhance the capacity of breast cancer screening programs by increasing cancer detection rates and decreasing false-negative evaluations.Item What Has Changed in Patients Aged 65 and over Diagnosed with Breast Cancer during the COVID-19 Pandemic: A Single-Center Experience(KARGER, 2022-01-01) Soyder, Aykut; Guldogan, Nilgun; Isiklar, Aysun; Aribal, Erkin; Basaran, GulIntroduction: The COVID-19 pandemic has a worldwide negative impact on healthcare systems. This study aims to determine how the diagnosis, clinicopathological features, and treatment approaches of patients with breast cancer (BC) diagnosed at >= 65 years old were affected during the pandemic. This survey has shown that patients, especially the elderly, had to postpone their BC health problems or delay their routine controls due to the risk of COVID-19 transmission, high mortality rates due to comorbidity, and restrictions. Materials and Methods: The medical records of 153 patients with BC diagnosed at >= 65 years old before (January-December 2019Item The effect of COVID-19 pandemic on breast imaging: a clinical observations(TURKISH SOC RADIOLOGY, 2020-01-01) Yilmaz, Ebru; Guldogan, Nilgun; Aribal, ErkinItem 3D Automated Breast Ultrasound System: Comparison of Interpretation Time of Senior Versus Junior Radiologist(AVES, 2019-01-01) Arslan, Aydan; Ertas, Gokhan; Aribal, ErkinObjective: This study aimed to compare the automated breast ultrasound system (ABUS) reading time of breast radiologist to a radiology resident independent of the clinical outcomes. Materials and Methods: One hundred women who underwent screening ABUS between July and August 2017 were reviewed retrospectively. Each study was examined sequentially by a breast radiologist who has more than 20 years of experience in breast radiology and third year resident who has 6 months of experience in breast radiology. Data were analyzed with Spearman' correlation, Wilcoxon Signed Ranks Test and Kruskal-Wallis Test and was recorded. Results: The mean age of patients was 42.02 +/- 11.423 years (age range16-66). The average time for senior radiologist was 223.36 +/- 84.334 seconds (min 118 max 500 seconds). The average time for junior radiologist was 269.48 +/- 82.895 seconds (min 150 max 628 seconds). There was a significant difference between the mean time of two radiologists (p=0.00001). There was a significant difference regarding the decrease in the reading time throughout study with the increase of number of cases read by the breast radiologist (p<0.05)Item Supplementary abbreviated supine breast MRI following a standard prone breast MRI with single contrast administration: is it effective in detecting the initial contrast-enhancing lesions?(TURKISH SOC RADIOLOGY, 2019-01-01) Aribal, Erkin; Bugdayci, OnurPURPOSE We aimed to evaluate the detectability of contrast enhancing lesions, initially demonstrated in standard prone dynamic contrast-enhanced MRI (DCE-MRI), in a supplementary supine breast MRI examination performed following the standard prone DCE-MRI examination and to show the correlation of spatial displacement of the lesions with breast size and density. METHODS Forty-two patients with 45 lesions were prospectively evaluated. Supine breast MRI was acquired with a 6-channel body coil following a standard DCE-MRI in prone position after repositioning the patient. No additional contrast media was administered. Images were evaluated by two radiologists in consensus for the visibility of the lesions. Lesion localization relative to the sternal midline, chest wall and nipple was measured in both prone and supine positions. Correlations between lesion displacement and breast size or breast density were analyzed. RESULTS Of 45 lesions, 23 (52.3\%) were masses, 22 (47.7\%) were nonmass enhancements (NME). Forty-four lesions (97.8\%) could be detected on supine images. One linear NME of 33 mm in length could not be seen on supine images. Twenty (46.5\%) of the detected lesions in supine position were equal to or smaller than 10 mm (11 NME {[}55\%] and 9 masses {[}45\%]). Lesion displacement relative to the chest wall increased with increasing breast size (P < 0.001). CONCLUSION An abbreviated supine sequence following a standard prone DCE-MRI with single contrast media administration is an effective method for defining the lesion location in supine position.Item ISA New Technical Mode in Mammography: Self-Compression Improves Satisfaction(AVES, 2019-01-01) Ulus, Sila; Kovan, Ozge; Arslan, Aydan; Elpen, Pinar; Aribal, ErkinObjective: We aimed to evaluate the mammography experience of patients using a manually controlled self-compression tool compared to their previous experience based on technician performed breast compression by a questionnaire survey study. Materials and Methods: The survey studies of 365 patients who underwent screening or diagnostic mammography between April 2017 and July 2017 at our center were reviewed retrospectively. Each patient had completed a 12-item questionnaire following mammography examinations. Women who never had a mammography before or who had a previous mammography examination more than 2 years ago or who did not want to use the self-compression device were excluded from the study. 106 women were included in the study. Results: Patient satisfaction was high. Regarding the comparison of the experience of the exam to previous ones, 70.8\% said it was a better experience. The examination was found comfortable by 85.4\% of the participants and 75.5\% found the examination more comfortable compared to previous ones. Only 11.3\% were anxious and 52.8\% declared they were less anxious compared to previous examinations. Regarding the attractiveness of the new design, 66.9\% declared they found the new design attractive, 39.7\% found it more attractive than previous examinations, and 27.3\% said the new design decreased anxiety. In the evaluation of impact of patient-assisted compression (PAC) on comfort, 80.2\% said that they found it more comfortable and 64.2\% said that PAC decreased anxiety. Furthermore, 72.6\% said the exam was shorter. Conclusion: Self-compression technique decreases pain and anxiety of women during mammography examinations and promises to enhance compliance of clients and patients with follow-up mammography recommendations.