Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Nese, Ucar"'
1
Akademický článek
The correlation between biological activity and diffusion-weighted MR imaging and ADC value in cases with prostate cancer
Autor: Bedriye Koyuncu Sokmen, Dogukan Sokmen, Nese Ucar, Huseyin Ozkurt, Abdulmuttalip Simsek
Publikováno v: Archivio Italiano di Urologia e Andrologia, Vol 89, Iss 4, Pp 277-281 (2017)
Purpose: Firstly, we aimed to investigate the correlation among dynamic contrasted magnetic resonance (MR) images, diffusion-weighted MR images, and apparent diffusion coefficent (ADC) values in patients with prostate cancer. Secondly, we aimed to in
Externí odkaz: https://doaj.org/article/72880ecb352b49b49366348b0dd2b09f
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3
Akademický článek
Diffusion-Weighted Imaging for the Discrimination of Benign and Malignant Breast Masses; Utility of ADC and Relative ADC
Autor: Ebru Yilmaz, Ozcan Sari, Ayhan Yilmaz, Nese Ucar, Ahmet Aslan, Ibrahim Inan, Ulku Tuba Parlakkilic
Publikováno v: Journal of the Belgian Society of Radiology, Vol 102, Iss 1 (2018)
Purpose: To determine the contribution of apparent diffusion coefficient (ADC), and relative ADC (rADC) values to differentiate between benign and malignant breast masses. Materials and Methods: Magnetic resonance imaging (MRI) of the breast with dif
Externí odkaz: https://doaj.org/article/9e8fffb671894ef7b85eb71496e93d7c
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5
Could Chest Computed Tomography Scores Assess the Inflammatory Markers and Disease Severity of Coronavirus Disease-2019 Patients?
Autor: Berna Demirok, Okan Gurkan, Mehmet Fatih Kaya, Nese Ucar, Yesim Namdar Akan, Yasemin Kayadibi
Publikováno v: Journal of Academic Research in Medicine. 11:62-68
Objective: This study aimed to investigate the relationship between chest computed tomography (CT) scores and inflammatory markers in patients with coronavirus disease-2019 (COVID-19).
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70683f8df02e551ebbf32ccca1a36acd
https://doi.org/10.4274/jarem.galenos.2021.3803
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6
MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status
Autor: Yasemin Kayadibi, Burak Kocak, Nese Ucar, Yesim Namdar Akan, Emine Yildirim, Sibel Bektas
Publikováno v: Academic radiology. 29
In patients with breast cancer (BC), lymphovascular invasion (LVI) status is considered an important prognostic factor. We aimed to develop machine learning (ML)-based radiomics models for the prediction of LVI status in patients with BC, using preop
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6709817999e656f3b2e24a3c3dd8ae32
https://pubmed.ncbi.nlm.nih.gov/34876340
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7
Magnetic resonance imaging findings associated with recurrence in idiopathic granulomatous mastitis
Autor: Yasemin Kayadibi, Nese Ucar, Yesim Namdar Akan, Mehmet Fatih Kaya, Emine Yildirim, Seda Aladag Kurt, Fatma Nur Soylu Boy, Fusun Taskin, Gul Esen Icten
Publikováno v: Clinical imaging. 84
To evaluate magnetic resonance imaging (MRI) findings related to recurrence of idiopathic granulomatous mastitis (IGM).Demographic data [age, number of births, duration of lactation period, body mass index (BMI) and presence of recurrence] of 71 pati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8413f53effd47541befe9128a173bca4
https://pubmed.ncbi.nlm.nih.gov/35134676
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8
Comparison of the efficiency of systemic therapy and intralesional steroid administration in the treatment of idiopathic granulomatous Mastitis. The novel treatment for Granulomatous Mastitis
Autor: Emine, Yildirim, Yasemin, Kayadibi, Sibel, Bektas, Nese, Ucar, Aysegul, Oymak, Ahmet Muzaffer, Er, Adem, Senturk, Isil Akgun, Demir
Publikováno v: Annali italiani di chirurgia. 92
Idiopathic granulomatous mastitis that has not had a clear consensus about its treatment since the day it was identified as a rare, benign inflammatory breast disease that mimics malignancy due to its appearance features.In our research, we intended
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::5879b6fa9710e8b25d8f5a6c09f9b24f
https://pubmed.ncbi.nlm.nih.gov/34193647
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9
Radioproteomics in Breast Cancer: Prediction of Ki-67 Expression With MRI-based Radiomic Models
Autor: Sibel Bektas, Burak Kocak, Pelin Akbas, Yesim Namdar Akan, Nese Ucar, Yasemin Kayadibi
Publikováno v: Academic radiology. 29
Rationale and Objectives We aimed to investigate the value of magnetic resonance image (MRI)-based radiomics in predicting Ki-67 expression of breast cancer. Methods In this retrospective study, 159 lesions from 154 patients were included. Radiomic f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc3b72a46fb06d4ccbe052c9037a00d
https://pubmed.ncbi.nlm.nih.gov/33744071
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10
Localized Breast Amyloidosis
Autor: Elife Kimiloglu, Nese Ucar, Ayhan Yilmaz, Ulku Tuba Parlakkılıc, Ahmet Aslan, Özgecan Gündoğar, Ebru Yılmaz, Ibrahim Inan
Localized amyloidosis in the breast is a very rare disease and may mimic malignant lesions. A 60-year-old woman who had a history of breast-conserving surgery presents with a new a well-defined oval opacity accompanied by many round tight clustered m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84e235655f0cf113e001bac641f15d46
https://hdl.handle.net/20.500.12713/706
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