Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Kuo-Yang Yen"'
Autor:
Yung-Chi Lai, Kuo-Chen Wu, Neng-Chuan Tseng, Yi-Jin Chen, Chao-Jen Chang, Kuo-Yang Yen, Chia-Hung Kao
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundThe investigation of incidental pulmonary nodules has rapidly become one of the main indications for 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET), currently combined with computed tomography (PET-CT). There is also a grow
Externí odkaz:
https://doaj.org/article/c186ffdbe9d84e38805887b53ec96039
Autor:
Da-Chuan Cheng, Te-Chun Hsieh, Yu-Ju Hsu, Yung-Chi Lai, Kuo-Yang Yen, Charles C. N. Wang, Chia-Hung Kao
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 7, p 1105 (2022)
Background: Cardiovascular management and risk stratification of patients is an important issue in clinics. Patients who have experienced an adverse cardiac event are concerned for their future and want to know the survival probability. Methods: We t
Externí odkaz:
https://doaj.org/article/14974190e3a84d5990b833b25a8f5bf4
Autor:
Kuo-Chen Wu, Shang-Wen Chen, Te-Chun Hsieh, Kuo-Yang Yen, Kin-Man Law, Yu-Chieh Kuo, Ruey-Feng Chang, Chia-Hung Kao
Publikováno v:
Cancers, Vol 13, Iss 24, p 6350 (2021)
Objectives: Neoadjuvant chemoradiotherapy (NCRT) followed by surgery is the mainstay of treatment for patients with locally advanced rectal cancer. Based on baseline 18F-fluorodeoxyglucose ([18F]-FDG)-positron emission tomography (PET)/computed tomog
Externí odkaz:
https://doaj.org/article/f6288474c51f4a369c7bd539d06a0019
Publikováno v:
Diagnostics, Vol 11, Iss 3, p 518 (2021)
This study aimed to explore efficient ways to diagnose bone metastasis early using bone scintigraphy images through negative mining, pre-training, the convolutional neural network, and deep learning. We studied 205 prostate cancer patients and 371 br
Externí odkaz:
https://doaj.org/article/65ead0ecc00149139a49b59d342c7a97
Publikováno v:
Journal of the Formosan Medical Association, Vol 110, Iss 8, Pp 537-542 (2011)
Niemann-Pick type C disease (NPC) is a rare autosomal recessive lipid storage disorder caused by impaired cellular functions in processing and transporting low-density lipoprotein-cholesterol. In this report, we present magnetic resonance imaging (MR
Externí odkaz:
https://doaj.org/article/341b508c0c8749988b422420c31a4db3
Autor:
Min-Kuei Tsai, Hueisch-Jy Ding, Hsueh-Chou Lai, Kuo-Yang Yen, Chia-Ing Li, Yu-Yi Lin, Kai-Yuan Cheng, Keh-Bin Wang, Chia-Hung Kao
Publikováno v:
The Scientific World Journal, Vol 2012 (2012)
Background. Gastroesophageal reflux disease (GERD) is a common disease and a major upper gastrointestinal problem. The purpose of the present study is to evaluate the use of noninvasive 2-fluoro-2-deoxy-d-glucose positron emission tomography (FDG-PET
Externí odkaz:
https://doaj.org/article/60c87651395b4dbab5d30aa7e9fd8187
Autor:
Kuo-Chen Wu, Shang-Wen Chen, Te-Chun Hsieh, Kuo-Yang Yen, Chao-Jen Chang, Yu-Chieh Kuo, Ruey-Feng Chang, Kao Chia-Hung
Publikováno v:
Nuclear Medicine Communications; Mar2024, Vol. 45 Issue 3, p196-202, 7p
Publikováno v:
Clinical Nuclear Medicine. 47:e401-e402
18F-fluciclovine, a radiolabeled amino acid analog, has been approved by US Food and Drug Administration for detecting lesions of biochemical recurrence of prostate adenocarcinoma with PET/CT. However, it is not specific for prostate cancer and has b
Autor:
Lian Shung Yeh, Shang Wen Chen, Wei Chih Shen, Wei Chun Chang, Ji An Liang, Kuo Yang Yen, Wu Chou Lin, Chia-Hung Kao, Kuo Chen Wu, Te-Chun Hsieh, Yao Ching Hung
Publikováno v:
European Radiology. 29:6741-6749
We designed a deep learning model for assessing 18F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer. All 142 patients with cervical cancer underwent 18F-FDG PET/CT for pretreatment stag
Publikováno v:
Diagnostics, Vol 11, Iss 518, p 518 (2021)
Diagnostics; Volume 11; Issue 3; Pages: 518
Diagnostics
Diagnostics; Volume 11; Issue 3; Pages: 518
Diagnostics
This study aimed to explore efficient ways to diagnose bone metastasis early using bone scintigraphy images through negative mining, pre-training, the convolutional neural network, and deep learning. We studied 205 prostate cancer patients and 371 br