Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Arvin Arian"'
Autor:
Shirin Yaghoobpoor, Mobina Fathi, Hamed Ghorani, Parya Valizadeh, Payam Jannatdoust, Arian Tavasol, Melika Zarei, Arvin Arian
Publikováno v:
European Journal of Radiology Open, Vol 12, Iss , Pp 100561- (2024)
Background and objective: Neoadjuvant chemotherapy is a standard treatment approach for locally advanced breast cancer. Conventional imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound, have been use
Externí odkaz:
https://doaj.org/article/eb8b27bc65b04b36b8296a791f3b7353
Autor:
Hayder Suhail Najm Alareer, Arvin Arian, Maryam Fotouhi, Hayder Jasim Taher, Ayoob Dinar Abdullah
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 14, Iss 1, Pp 5-20 (2024)
Background: Based on the Liver Imaging Data and Reporting System (LI-RADS) guidelines, Hepatocellular Carcinoma (HCC) can be diagnosed using imaging criteria in patients at risk of HCC.Objective: This study aimed to assess the diagnostic value of LI-
Externí odkaz:
https://doaj.org/article/f823f98c5b2e47fd81414469b8da4429
Autor:
Nasrin Ahmadinejad, Fahimeh Azizinik, Pershang Khosravi, Ala Torabi, Amirhassan Mohajeri, Arvin Arian
Publikováno v:
International Journal of Breast Cancer, Vol 2024 (2024)
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a highly sensitive breast imaging modality in detecting breast carcinoma. Nonmass enhancement (NME) is uniquely seen on MRI of the breast. The correlation between NME features and path
Externí odkaz:
https://doaj.org/article/d9d3e1adeddb45e9b655e12db4d2efa7
Autor:
Maryam Fotouhi, Fardin Samadi Khoshe Mehr, Sina Delazar, Ramin Shahidi, Babak Setayeshpour, Mohssen Nassiri Toosi, Arvin Arian
Publikováno v:
European Journal of Radiology Open, Vol 11, Iss , Pp 100535- (2023)
Purpose: The current study aimed to evaluate the efficiency of dynamic contrast-enhanced (DCE) MRI visual features in classifying benign liver nodules and hepatocellular carcinoma (HCC) using a machine learning model. Methods: 115 LI-RADS3, 137 LI-RA
Externí odkaz:
https://doaj.org/article/de1b914a935640de888794b63be3c7cf
Autor:
Arvin Arian, Mohamad Ghazanfari Hashemi, Vahid Talebi, Nasrin AhmadiNejad, Bita Eslami, Nahid Sedighi, Ramesh Omranipour
Publikováno v:
European Journal of Radiology Open, Vol 11, Iss , Pp 100517- (2023)
Background: Although, there are accumulating evidence about diagnostic role of abbreviated breast magnetic resonance imaging (MRI) in screening setting, the implementation of abbreviated MRI in staging of breast cancer has been poorly elucidated. Obj
Externí odkaz:
https://doaj.org/article/ed933a9e849243cba59c2696d489ae00
Autor:
Payam Jannatdoust, Parya Valizadeh, Mahshad Razaghi, Maedeh Rouzbahani, Amirbahador Abbasi, Arvin Arian
Publikováno v:
Research in Diagnostic and Interventional Imaging, Vol 6, Iss , Pp 100030- (2023)
Background: Crohn's disease (CD) is a chronic disorder that often starts at a young age and involves periods of remission and relapse. Prompt diagnosis of relapses through screening is crucial due to the potential morbid complications of untreated ac
Externí odkaz:
https://doaj.org/article/ab4db561e5894ac7a5f55055dd658185
Autor:
Arvin Arian, Masoumeh Gity, Shahriar Kolahi, Sina Khani, Mehran Arab Ahmadi, Mohammadreza Salehi, Sina Delazar
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 11, Iss 8, Pp 4410-4416 (2022)
Background: The Radiologic Society of North America (RSNA) divides patients into four sections: negative, atypical, indeterminate, and typical coronavirus disease 2019 (COVID-19) pneumonia based on their computed tomography (CT) scan findings. Herein
Externí odkaz:
https://doaj.org/article/9c3fbc0f67d443a7a8d8fcee431f3f6e
Autor:
Arvin Arian, Mohammad-Mehdi Mehrabi Nejad, Mostafa Zoorpaikar, Navid Hasanzadeh, Saman Sotoudeh-Paima, Shahriar Kolahi, Masoumeh Gity, Hamid Soltanian-Zadeh
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/f003d78a18134947af598da87490263a
Autor:
Nasrin Ahmadinejad, Seyedehsahel Rasoulighasemlouei, Negin Rostamzadeh, Arvin Arian, Amirhassan Mohajeri, Seyedeh Nooshin Miratashi Yazdi
Publikováno v:
European Journal of Radiology Open, Vol 10, Iss , Pp 100475- (2023)
Background: Synthesized Mammogram (SM) from Digital Breast Tomosynthesis (DBT) images is introduced to replace the routine Full Field Digital Mammography (FFDM) to reduce radiation dose. Purpose: to compare the conspicuity of cancer related findings
Externí odkaz:
https://doaj.org/article/572a091627dc440eaa43aec1b74d15bd
Publikováno v:
European Journal of Radiology Open, Vol 10, Iss , Pp 100474- (2023)
Background: Ultrasound-detected breast lesions with probably benign features are a great challenge for clinicians, especially in breasts with dense composition. We aimed to investigate the finding of two radiologic modalities on these lesions. Method
Externí odkaz:
https://doaj.org/article/0c9f6299c9f64d81a266e34652a5d10d