Developing and validating a multivariable prediction model to improve the diagnostic accuracy in determination of cervical versus endometrial origin of uterine adenocarcinomas: A prospective MR study combining diffusion‐weighted imaging and spectroscopy

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/120089

DC Field	Value	Language
dc.contributor	應用物理研究所
dc.creator	Lin, Gigin;Lin, Yu-Chun;Wu, Ren-Chin;Yang, Lan-Yan;Lu, Hsin-Ying;Tsai, Shang-Yueh;Huang, Yu-Ting;Huang, Yen-Ling;Lu, Kuan-Ying;Ng, Koon-Kwan;Yen, Tzu-Chen;Chao, Angel;Lai, Chyong-Huey;Hong, Ji-Hong	en_US
dc.creator	蔡尚岳	zh_TW
dc.creator	Tsai, Shang-Yueh	en_US
dc.date	2018-06
dc.date.accessioned	2018-09-13T10:05:06Z	-
dc.date.available	2018-09-13T10:05:06Z	-
dc.date.issued	2018-09-13T10:05:06Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/120089	-
dc.format.extent	108 bytes	-
dc.format.mimetype	text/html	-
dc.relation	Journal of Magnetic Resonance Imaging, Volume 47, Issue 6 , June 2018 , Pages 1654-1666
dc.subject	cervical carcinoma; diffusion-weighted imaging; diagnostic accuracy; endometrial carcinoma; magnetic resonance imaging; magnetic resonance spectroscopy	en_US
dc.title	Developing and validating a multivariable prediction model to improve the diagnostic accuracy in determination of cervical versus endometrial origin of uterine adenocarcinomas: A prospective MR study combining diffusion‐weighted imaging and spectroscopy	en_US
dc.type	article
dc.identifier.doi	10.1002/jmri.25899
dc.doi.uri	https://doi.org/10.1002/jmri.25899
item.cerifentitytype	Publications	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.openairetype	article	-
item.fulltext	With Fulltext	-
item.grantfulltext	restricted	-
Appears in Collections:	期刊論文

File	Description	Size	Format
index.html		108 B	HTML2	View/Open

Check