Zobrazeno 1 - 10
of 506
pro vyhledávání: '"Jin Young Kwak"'
Autor:
Jandee Lee, Jung Hyun Yoon, Eunjung Lee, Hwa Young Lee, Seonhyang Jeong, Sunmi Park, Young Suk Jo, Jin Young Kwak
Publikováno v:
Journal of Advanced Research, Vol 62, Iss , Pp 219-228 (2024)
Introduction: Ultrasonography (US) features of papillary thyroid cancers (PTCs) are used to select nodules for biopsy due to their association with tumor behavior. However, the molecular biological mechanisms that lead to the characteristic US featur
Externí odkaz:
https://doaj.org/article/790ae34f597d4d6585606e43a69db8a9
Autor:
Si Eun Lee, Hye Jung Kim, Hae Kyoung Jung, Jin Hyang Jung, Jae-Han Jeon, Jin Hee Lee, Hanpyo Hong, Eun Jung Lee, Daham Kim, Jin Young Kwak
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/f8547faa4ac14a808df4b8395fa679e8
Autor:
Si Eun Lee, Hye Jung Kim, Hae Kyoung Jung, Jin Hyang Jung, Jae-Han Jeon, Jin Hee Lee, Hanpyo Hong, Eun Jung Lee, Daham Kim, Jin Young Kwak
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundData-driven digital learning could improve the diagnostic performance of novice students for thyroid nodules.ObjectiveTo evaluate the efficacy of digital self-learning and artificial intelligence-based computer-assisted diagnosis (AI-CAD) f
Externí odkaz:
https://doaj.org/article/9349407c20a54569b1de68affb10a9e0
Autor:
Miribi Rho, Sei Hyun Chun, Eunjung Lee, Hye Sun Lee, Jung Hyun Yoon, Vivian Youngjean Park, Kyunghwa Han, Jin Young Kwak
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract To assess the performance of deep convolutional neural network (CNN) to discriminate malignant and benign thyroid nodules
Externí odkaz:
https://doaj.org/article/b7d927f223a9404f9a9416910d73b4f4
Autor:
Hyun Jung Chung, Kyunghwa Han, Eunjung Lee, Jung Hyun Yoon, Vivian Youngjean Park, Minah Lee, Eun Cho, Jin Young Kwak
Publikováno v:
Journal of the Korean Society of Radiology, Vol 84, Iss 1, Pp 185-196 (2023)
Purpose This study aimed to investigate radiomics analysis of ultrasonographic images to develop a potential biomarker for predicting lymph node metastasis in papillary thyroid carcinoma (PTC) patients. Materials and Methods This study included 431
Externí odkaz:
https://doaj.org/article/c4fd5234dbac4fd7a35b2ec99381b432
Publikováno v:
대한영상의학회지, Vol 83, Iss 3, Pp 645-657 (2022)
Purpose To evaluate and compare the diagnostic outcomes of ultrasonography (US)-guided fine needle aspiration (FNA) and core needle biopsy (CNB) performed on the same thyroid nodule using a surgical specimen for direct comparison. Materials and Me
Externí odkaz:
https://doaj.org/article/8046c85e500145f5ab6134a0e2fd850c
Autor:
Hee Min Park, Jihye Lee, Jin Young Kwak, Vivian Youngjean Park, Miribi Rho, Minah Lee, Jung Hyun Yoon
Publikováno v:
Ultrasonography, Vol 41, Iss 2, Pp 298-306 (2022)
Background The aim of this study was to evaluate whether risk stratification systems using ultrasonographic (US) features show associations with the outcomes of patients with small papillary thyroid carcinomas (PTCs). Methods This retrospective study
Externí odkaz:
https://doaj.org/article/f247b300426d40e3a92c1f3938571189
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract While sarcopenia is associated with poor overall survival and cancer-specific survival in solid cancer patients, the impact of sarcopenia on clinicopathologic features that can influence conventional papillary thyroid cancer (PTC) prognosis
Externí odkaz:
https://doaj.org/article/b283a5208ff8416aa83d35f9ca8aa48c
Autor:
Sunyoung Kang, Eunjung Lee, Chae Won Chung, Han Na Jang, Joon Ho Moon, Yujin Shin, Kyuho Kim, Ying Li, Soo Myoung Shin, Yoo Hyung Kim, Seul Ki Kwon, Chang Ho Ahn, Kyong Yeun Jung, A. Ram Hong, Young Joo Park, Do Joon Park, Jin Young Kwak, Sun Wook Cho
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Ultrasonography (US) is the primary diagnostic tool for thyroid nodules, while the accuracy is operator-dependent. It is widely used not only by radiologists but also by physicians with different levels of experience. The aim of this study w
Externí odkaz:
https://doaj.org/article/c6545ec565664400baf88454967de284
Autor:
Inyoung Youn, Eunjung Lee, Jung Hyun Yoon, Hye Sun Lee, Mi-Ri Kwon, Juhee Moon, Sunyoung Kang, Seul Ki Kwon, Kyong Yeun Jung, Young Joo Park, Do Joon Park, Sun Wook Cho, Jin Young Kwak
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract To compare the diagnostic performances of physicians and a deep convolutional neural network (CNN) predicting malignancy with ultrasonography images of thyroid nodules with atypia of undetermined significance (AUS)/follicular lesion of undet
Externí odkaz:
https://doaj.org/article/123d2a86c3da4deeb87fbe58d55bf840