Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Devrim Ulaş Urut"'
Publikováno v:
Volume: 11, Issue: 2 96-101
Experimed
Experimed
Objective: In the living donor liver transplantation (LDLT) context, accurate estimation of the graft weight to recipient weight ratio (GRWR) and future donor liver remnant volume by pre-operative volumetric analysis is very important. We aimed to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa2ce9676e7e35af2afa9e4fc5b68aaa
https://hdl.handle.net/20.500.12713/2049
https://hdl.handle.net/20.500.12713/2049
Publikováno v:
Transplantation proceedings. 53(3)
Background: Adherent perinephric fat (APF) is a known risk factor of surgical difficulty during laparoscopic donor nephrectomy (LDN). The Mayo Adhesive Probability (MAP) score predicts APF accurately. The aim of this study is to identify the associat
Autor:
Elnur Sahibov, Aydın Aslan, Devrim Ulaş Urut, Tuba Akdağ, Göksel Alçin, Ozgul Ekmekcioglu, Zedef Dağ, Sadık Server, Cihan Gündoğan, Kadir Alper Küçüker, Ali Mahir Gündüz, Ibrahim Halil Sever, Adil Doğan, Seray Gizem Gür, Berna Akkus Yildirim, Elife Akgün, Inci Kizildag Yirgin, Özlem Güngör, Isa Burak Guney, Sukran Eskici Oztep, Nurcan Ertan, Meltem Özdemir, Nese Torun, Melek Akçay, Duygu Has Simsek, Eda Erdiş, Serhan Eren, Seda Nida Karaküçük, Alev Çınar, Bedriye Koyuncu Sokmen, Zeynep Almaç Güral, Mete Gündoğ, Cansu Öztürk, Emine Goknur Isik, Ayse Kotek Sedef, Pelin Zeynep Bekin Sarıkaya, Esra Arslan, Umur Anil Pehlivan, Hasan Bilen Onan, Yurdagül Köse Kurt, Osman Dere, Esra Soyer Guldogan, Rasime Pelin Kavak, Ali Murat Sedef, Ahmet Kucuk, Cemil Oktay, Nazlı Pınar Karahan Şen, Seray Akçalar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd89a1c41388f16d2d33fc2d56e590e3
https://doi.org/10.37609/akya.54
https://doi.org/10.37609/akya.54
Publikováno v:
JOR Spine, Vol 7, Iss 1, Pp n/a-n/a (2024)
Abstract Background This study aimed to develop a classification system for lumbar disc degeneration using routine magnetic resonance images (MRIs) that is easily applicable and unaffected by existing classifications' limitations, and to compare its
Externí odkaz:
https://doaj.org/article/23fbbfe35ef24e1faee6773377c29a3a