Showing results (121-130 of 162) with videos related to

Sort By:
Pageof 17
Journal of Clinical Ultrasound : JCU|March 25, 2009
Should transition zone biopsies be added to 12-core systematic biopsies of the prostate?Sung Il Hwang, Hak Jong Lee, Jeong Yeon Cho, et al.
Plos One|June 13, 2015
Pulmonary Nodule Detection in Patients with a Primary Malignancy Using Hybrid PET/MRI: Is There Value in Adding Contrast-Enhanced MR Imaging?Kyung Hee Lee, Chang Min Park, Sang Min Lee, et al.
Korean Journal of Radiology|June 8, 2007
Prospective analysis on the relation between pain and prostate volume during transrectal prostate biopsyTae Jin Yun, Hak Jong Lee, Seung Hyup Kim, et al.
Japanese Journal of Clinical Oncology|June 9, 2007
Can preoperative MRI accurately evaluate nodal and parametrial invasion in early stage cervical cancer?Hyun Hoon Chung, Soon-Beom Kang, Jeong Yeon Cho, et al.
Korean Journal of Radiology|June 28, 2002
Fetal musculoskeletal malformations with a poor outcome: ultrasonographic, pathologic, and radiographic findingsSoo Hyun Lee, Jeong Yeon Cho, Mi Jin Song, et al.
Korean Journal of Radiology|March 29, 2002
Prenatal ultrasound findings of fetal neoplasmsSoo Hyun Lee, Jeong Yeon Cho, Mi Jin Song, et al.
Nuclear Medicine Communications|March 7, 2014
Total lesion glycolysis as the best 18F-FDG PET/CT parameter in differentiating intermediate-high risk adrenal incidentalomaYong-il Kim, Gi Jeong Cheon, Jin Chul Paeng, et al.
Cancer Research and Treatment|March 24, 2015
An Alternative Triage Strategy Based on Preoperative MRI for Avoiding Trimodality Therapy in Stage IB Cervical CancerJung-Yun Lee, Jina Youm, Jae Weon Kim, et al.
Prostate International|July 6, 2023
Diagnostic performance of MRI for prediction of recurrent prostate cancer after high-intensity focused ultrasound: a systematic review and meta-analysisHyungwoo Ahn, Sung Il Hwang, Hak Jong Lee, et al.
Korean Journal of Radiology|September 20, 2011
Pre-operative prediction of advanced prostatic cancer using clinical decision support systems: accuracy comparison between support vector machine and artificial neural networkSang Youn Kim, Sung Kyoung Moon, Dae Chul Jung, et al.
Pageof 17