Prediction of Liver Volume from Liver Transplant Donor using Biometric Formula compared with Computed Topography Volumetry
Author(s) -
Agi Satria Putranto,
Adinda Syafina,
Damayanti Sekarsari,
Yarman Mazni,
Yefta Moenadjat,
R Brown,
C Miller,
C Quintini,
A Dhawan,
F Durand,
J Heimbach,
Kim-Schluger Hl,
M Hori,
K Suzuki,
M Epstein,
R Baron,
S Nadalin,
M Bockhorn,
M Malag,
C Valentin-Gamazo,
A Frilling,
C Broelsch,
N Mussin,
M Sumo,
K Lee,
Y Choi,
J Choi,
S Ahn,
K Urata,
S Kawasaki,
H Matsunami,
Y Hashikura,
T Ikegami,
S Ishizone,
S Vohra,
N Goyal,
S Gupta,
S Lui,
G Bonney,
Wca Kow,
S Iyer,
Sky Chang,
K Madhavan,
J Vauthey,
E Abdalla,
D Doherty,
P Gertsch,
M Fenstermacher,
E Loyer,
L Fu-Gui,
Y Lu-Nan,
Bo Yong,
Z Tian-Fu,
W,
Ming Qing,
X,
T Hashimoto,
Y Sugawara,
S Tamura,
K Hasegawa,
Y Kishi,
N Kokudo,
A Poovathumkadavil,
K Leung,
H Ghamdi,
Al,
Ieh Othman,
A Meshikhes,
S Chan,
C Liu,
C Lo,
B Lam,
E Lee,
Y Wong,
T Johnson,
G Tucker,
M Tanner,
A Rostami-Hodjegan,
S Muljati,
A Triwinarto,
N Utami,
A Baskiran,
A Kahraman,
I Cicek,
T Sahin,
B Isik,
S Yilmaz,
K Ma,
Ksh Chok,
Acy Chan
Publication year - 2021
Publication title -
the new ropanasuri journal of surgery
Language(s) - English
Resource type - Journals
ISSN - 2549-7871
DOI - 10.7454/nrjs.v6i1.1103
Subject(s) - biometrics , volume (thermodynamics) , medicine , liver transplantation , liver tissue , radiology , nuclear medicine , computer science , surgery , artificial intelligence , transplantation , physics , quantum mechanics
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