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Sep. 21 (Wed),
09:40-11:00
Scientific Session (SS 09)
Genitourinary
Adv
English
Chair(s)
Seehyung Kim (Korea)
Grand Ballroom 104, 1F
(Room 4)
Prostate Imaging
Sung Kyoung Moon (Korea)
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09:40-09:48
Combined MRI and PSA strategy improves biopsy decisions compared with PSA only: longitudinal observations of a cohort of patients with a PSA level less than 20 ng/mL
Moon Hyung Choi (Korea, Republic of)
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09:48-09:56
The role of magnetic resonance imaging in prostate cancer screening: does it perform better than the prostate-specific antigen test?
Taek Min Kim (Korea, Republic of)
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09:56-10:04
Accurate volumetry of prostate in MR imaging: comparison study between prostate ellipsoid formula calculation and automatic MR volumetry using deep learning segmentation
Ji Won Jeong (Korea, Republic of)
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10:04-10:12
Diagnostic performance of MRI for prediction of recurrent prostate cancer after high-intensity focused ultrasound: a systematic review and meta-analysis
Hyungwoo Ahn (Korea, Republic of)
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10:12-10:20
Prostate MRI optimization: technical standards and PI-QUAL for image quality control
Kye Jin Park (Korea, Republic of)
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10:20-10:28
MR-US fusion biopsy of the prostate assisted by artificial intelligence segmentation based on deep learning
Sung Il Hwang (Korea, Republic of)
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10:28-10:36
Deep learning algorithm for tumor segmentation and classification of aggressiveness in patients with prostate cancer
Sujin Hong (Korea, Republic of)
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10:36-10:44
Prediction of extraprostatic extension by tumor contact length using MRI in apex, mid and base level of prostate cancer
Seo Young Park (Korea, Republic of)
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10:44-10:52
Predicting factors for extraprostatic extension in patients with prostate cancer using decision curve analysis
John Baek (Korea, Republic of)
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10:52-11:00
Automatic segmentation of prostate whole gland on multiparametric MR images using deep learning: a multi-center study
Lili Xu (China)
D + 816
Coex, Seoul, Korea
