Presentations

The 77th Korean Congress of Radiology

  • Day : 2021년 9월 1일 - 4일
  • Place : 서울코엑스&온라인
Paper
Number Presented papers
1 한승철, 이동호. Role of FDG-PET in re-staging of borderline resectable pancreatic cancer after neo-adjuvant treatment
2 한승철, 윤정희,김세우,박선근,이정민. Comparison of diagnostic performance between HASTE T2WI using intermediate TE and conventional T2WI in liver MRI
3 배재석, 이정민. Validation Of Liver Imaging Reporting And Data System Tumor In Vein Category Using CT And Hepatobiliary Agent-enhanced MR Imaging
4 배재석, 이정민. The Diagnostic Performance Of LI-RADS For Diagnosing Hepatocellular Carcinoma In Patients At High Risk According To Background Liver Condition
5 박진영,윤정희,이상민,이정섭,장원. Free breathing dynamic T1WI using compressed sensing golden angle radial sparse parallel imaging,comparison with breath hold T1WI
6 강효진,이정민,주이진,윤정희. Perfluorobutane-enhanced Ultrasound As A Diagnostic Tool For Hepatocellular Carcinoma In Individuals With High Risk: Intraindividual Comparison With Sulfur Hexafluoride-enhanced Ultrasound
7 박성은,이정민,유미혜,이은선,윤정희,김재현,박정훈,주이진. Diagnostic value of liver MRI to differentiate small duct and large duct type of intrahepatic mass forming cholangiocarcinoma and prognostic value of liver MRI to predict survival outcomes
8 송지영, 윤순호. 3D-UNet For Automatic Volumetric Vertebral Segmentation From Body CT Images For Opportunistic Osteoporosis Screening
9 김민종, 윤순호. Deep Neural Network For Automatic Ascites Segmentation On Abdominal CT Images
10 이종혁, 황의진,구진모. Assessment of Nodule Growth on Follow-up Screening Low Dose CTs to Detect Lung Cancer: Comparison Between Lung-RADS, NELSON, and Subjective Assessment by Radiologist
11 이종혁,김형진,박창민,전윤경,정두현,김영태,구진모. Prognostic Implication of Predominant Histologic Subtypes in Stage I Lung Adenocarcinoma: Lack of Association with Overall Survival Evidenced from Multi-Aspect Survival Analyses
12 남주강, 홍원주,최혜원,이상협,김민철,Thijs Kooi,박창민. Interval Change Detection Of Multiple Abnormalities From Serial Chest Radiographs Using Convolutional Neural Network
13 남주강,김형진,강혜진,이창훈,이상민,박창민. Development And Validation Of A Novel Deep Learning-based Survival Prediction Algorithm On COPD Patients Utilizing Chest Radiographs
14 김형진, 최혜원,이경희,조석기,박창민,구진모. Validation of Definitions of Central Tumors on CT in Patients with Clinical T1N0M0 Non-small Cell Lung Cancer: A Dual-institution, Multi-reader Study
15 안주연,최지웅,이창훈,김경남,Eric A Hoffman, 이창현. Ambient air pollution and quantitative CT measurement of body composition in COPD: a prospective study
16 이창현,최지웅,이인규,이창훈,안수연,고홍석,김경남. Quantitative CT analysis of ambient particulate matter exposure-associated multiscale structure and function alteration in healthy, asthma, COPD,and IPF lungs
17 김채리,정상훈,김재영,이창현,박은기,이주한. Evaluation of polyhexamethylene guanidine induced lung injuries by chest CT, pathologic examination, and RNA sequencing in a rat model
18 박종수, 황의진,구진모. Deep Learning-based Lung Nodule Detection And Classification System In Lung Cancer Screening Population: Improved Radiologists’ Nodule Detection Sensitivity And Inter-reader Agreement
19 박종수, 황의진,이종혁,홍원주,남주강,임우현,김재현,박창민,구진모. Identification Of Active Pulmonary Tuberculosis Among Patients With Latent Tuberculosis Infection: Application Of Deep Learning-based Computer-aided Detection System
20 박종수, 이종혁,박창민. Usual Interstitial Pneumonia Pattern On Ct: Impact On Complications Associated With Percutaneous Transthoracic Needle Lung Biopsies
21 홍원주, 황의진,구진모,박창민. Diagnosis of Pneumothorax after Percutaneous Transthoracic Needle Biopsy on Chest Radiographs: Impact of Clinical implementation of a Deep Learning System
22 홍원주, 윤순호,구진모. CT Findings Of Covid-19-associated Pulmonary Aspergillosis: A Systematic Review And Pooled Analysis Of Individual Patient Images
23 유승진,윤순호,박영식,최혜원,김다솜,남주강. Prospective evaluation of the performance of deep learning image reconstruction on low-dose and ultralow-dose chest CT
24 임우현,박창민. Validation for measurements of skeletal muscle areas using low-dose chest computed tomography
25 황의진,박창민,이재윤. Deep learning-based computer-aided detection system for pulmonary metastasis on chest CT: performance in consecutive patients undergoing pulmonary metastasectomy
26 김이삭,김영곤,선석규,이종혁,황의진,박창민. Decompose and blend: collaborative utilization of GAN-based anomaly detection and supervised learning in chest radiograph
27 최형인, 채희동, 이지민, 조형주, 김재민, 홍성환, 최자영, 류혜진, 예성준. Deep Learning-based Metal Artifact And Noise Reduction In The Lumbar Spine CT
28 김택민, 조정연, 김상윤. Prediction Of Hormonal Control Status Using Adrenal Gland Volume In Patients With Classic 21-hydroxlyase Deficiency
29 안형우,김택민,황성일,이학종. Another “RADS” tested for broken prostates: PI-RR for postoperative MRI after high-intensity focused ultrasound
30 김민관, 김택민, 김상윤, 조정연. Prediction of treatment response following aspiration sclerotherapy of renal cysts on computed tomography
31 서준영, 김상윤,조정연, 김택민. Postoperative Gonadal Vein Thrombus After Obgy Surgery : Is Antithrombotic Treatment Essential?
32 이지예, 김지훈,유노을,황인평,연은구,강경미. Prediction of Post-biopsy hemorrhage after Ultrasound guided Biopsy of the Thyroid and Neck
33 윤태진. A Pivotal Randomized Clinical Trial For Brain CT Interpretation Assisted By A Deep Learning-based Automatic Detection Algorithm For Detecting Acute Intracranial Hemorrhage
34 연희라,김수연,이유경,장정민,조나리야,문우경. Predictors of tumor progression during neoadjuvant chemotherapy in triple-negative breast cancer
35 하수민,장정민. Comparative effectiveness of intensive semiannual multimodality imaging surveillance for second breast cancer in women with personal history of breast cancer
36 이윤성, 이승현. Two-dimensional Shear Wave Elastography For The Prediction Of Hepatic Veno-occlusive Disease Following Hematopoietic Stem Cell Transplantation In Pediatric Patients
37 이슬비,조연진,김수현,이승현,최영훈,천정은. Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using deep neural network.
38 조연진,하지영, 이슬비, 김수현, 최영훈, 천정은, 김우선. Fast Brain Mri With Artificial Intelligence Reconstruction: Can It Replace Routine Brain Protocols For Pediatric Neuroimaging?
39 권려민,정진욱,최태원,김효철. Major complications after conventional chemoembolization in the era of cone beam CT
40 송지영,홍남기,윤순호,유혜진,박혜정,이유미. 3D U-net for automatic volumetric vertebral segmentation from body CT images for opportunistic osteoporosis screening
41 정새롬,안혜신,최영준,이지예,유노을,백정환. Diagnostic performance of the modified Korean thyroid imaging reporting and data system for thyroid malignancy: a multicenter validation study
Poster
Number Presented papers
1 김상윤, 조정연, 김현진, 이정엽, 박재학. Quantitative Magnetic Resonance Imaging of Chronic Kidney Disease: An Experimental In Vivo Study Using Rat Chronic Kidney Disease Models
2 배한나,강태욱,이창희,김현마,구영미,윤정희,최준일. Missed hepatocellular carcinomas in surveillance ultrasonography at very high risk patients: subgroup analysis of MAGNUS-HCC (NCT02551250) prospective study
3 안철균,김재현,이정민,김종효. A novel deep learning-based iodine contrast boosting algorithm for reduced-iodine-dose CT imaging

대한초음파의학회 학술대회

  • Day : 2021.5.13.-14
  • Place : 서울 코엑스&온라인
Paper
Number Presented papers
1 Seunghyun Lee, Young Hun Choi, Yeon Jin Cho, Seul Bi Lee, Jung-Eun Cheon, Woo Sun Kim, Soo-Hyun Kim. Sinus Pericranii: Ultrasound that Makes it Possible to See Vessels Entering the Skull
2 Jung Oh Lee, Soohyun Kim, Seul Bi Lee, Yeon Jin Cho, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon, Woo Sun Kim. Sonographic Diagnosis of Distal Humeral Epiphyseal Separation in a Neonate
3 Kang HJ, Kim JH, Yoo J, Han JK. Diagnostic Performance of Perfluorobutane-Enhanced Ultrasound for Diagnosing HCC in Individuals with High Risk: How Do We Evaluate Washout?
4 Jeongin Yoo, Jeong Min Lee, Ijin Joo. Imaging Features of Focal Liver Lesions on Post-Processing Contrast Vector Imaging: A Prospective Study
5 Jeong Ah Hwang, Woo Kyoung Jeong, Hyo-Jin Kang, Eun Sun Lee, Hyun Jeong Park, Jeong Min Lee. Role of Kupffer Phase Image with Sonazoid Enhanced Ultrasonography in the Diagnosis of Hepatocellular Carcinoma: A Multicenter Study
6 Ji-Hoon Kim, Ji Ye Lee, Young Joo Park. Efficacy and Safety of Radiofrequency Ablation for Low-Risk Papillary Thyroid Microcarcinoma: Interim Report of a Prospective Study
Poster
Number Presented papers
1 Seok Young Koh, Seunghyun Lee, Seul Bi Lee, Yeon Jin Cho, Young Hun Choi, Jung-Eun Cheon, Woo Sun Kim. Shear-Wave Elastography in the Assessment of Testicular Hematologic Malignancy in Childhood: A Feasibility Study
2 Seul Bi Lee, Seunghyun Lee, Yeon Jin Cho, Young Hun Choi, Jung-Eun Cheon, Woo Sun Kim. Case of Retained Medullary Cord with Terminal Balloon: Detection of Caudal Cyst on Ultrasound
3 Chiheon Kwon, Seul Bi Lee, Yeon Jin Cho, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon, Woo Sun Kim. An Unusual Gallstone Ileus in the Patient with Previous History of Kasai Operation
4 Mincheol Kim, Soohyun Kim, Seul Bi Lee, Yeon Jin Cho, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon, Woo Sun Kim. Gastrointestinal Manifestation of Cystic Fibrosis Mimicking Ileocolic Intussusception on Ultrasound
5 Seunghyun Lee, Hoyoon Jeon, Jung Hoon Kim, Byung Chul Lee. Preclinical Study to Improve MicrobubbleMediated Drug Delivery in Cancer Using Novel Drug Delivery System by the Ultrasound PhasedArray Transducer Attaching the Acoustic Lens
6 Seunghyun Lee, Hoyoon Jeon, Jung Hoon Kim, Byung Chul Lee. Novel Drug Delivery System Effect by Combination of Ultrasound-Phased Array Transducer and Acoustic Lens on a Murine Melanoma Model
7 Sae Rom Chung, Hye Shin Ahn, Young Jun Choi, Ji Ye Lee, Roh-Eul Yoo, Yoo Jin Lee, Lee Young Kim, Jin Yong Sung, Ji-Hoon Kim, Jung Hwan Baek, Diagnostic Performance of the Modified Korean Thyroid Imaging Reporting and Data System for Thyroid Malignancy: A Multicenter Validation Study
8 Ji Ye Lee, Ji-Hoon Kim, Hyun-Ah Chung, Soo Jin Nam, Roh-Eul Yoo, Inpyeong Hwang. Prediction of Post-Biopsy Hemorrhage after USGuided Biosy of Thrydoid and Neck
9 Min Hee Lee, Inyoung Youn, Jin Young Kwak, Sun Wook Cho, Jung Hyun Yoon, Mi-Ri Kwon, Juhee Moon, Sunyoung Kang, Seulki Kwon, Kyong Yeun Jung. Using the Deep Convolutional Neural Network to Evaluate Thyroid Nodules with Atypia of Undetermined Significance/Follicular Lesion of Undetermined Significance Cytology: Multicenter Study