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Your search keyword '"Lee, Mi Jung"' showing total 14 results
Start Over Author "Lee, Mi Jung" Journal yonsei medical journal
14 results on '"Lee, Mi Jung"'

3. Cystatin C is Better than Serum Creatinine for Estimating Glomerular Filtration Rate to Detect Osteopenia in Chronic Kidney Disease Patients

Author

Kwon, Young Eun, primary, Lee, Mi Jung, additional, Park, Kyoung Sook, additional, Han, Seung Hyeok, additional, Yoo, Tae-Hyun, additional, Oh, Kook-Hwan, additional, Lee, Joongyub, additional, Lee, Kyu Beck, additional, Chung, Wookyung, additional, Kim, Yeong-Hoon, additional, Ahn, Curie, additional, and Choi, Kyu Hun, additional

Published
2017
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4. Association between Vitamin D Deficiency and Anemia in Patients with End-Stage Renal Disease: A Cross-Sectional Study

Author

Kim, Yung Ly, primary, Kim, Hyunwook, additional, Kwon, Young Eun, additional, Ryu, Dong-Ryeol, additional, Lee, Mi Jung, additional, Park, Kyung Sook, additional, Ryu, Han Jak, additional, Park, Jung Tak, additional, Oh, Hyung Jung, additional, Han, Seung Hyeok, additional, Yoo, Tae-Hyun, additional, and Kang, Shin-Wook, additional

Published
2016
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5. The Effect of Specialized Continuous Renal Replacement Therapy Team in Acute Kidney Injury Patients Treatment

Author

Kee, Youn Kyung, primary, Kim, Eun Jin, additional, Park, Kyoung Sook, additional, Han, Seung Gyu, additional, Han, In Mee, additional, Yoon, Chang Yun, additional, Lee, Eunyoung, additional, Joo, Young Su, additional, Kim, Dae Young, additional, Lee, Mi Jung, additional, Park, Jung Tak, additional, Han, Seung Hyeok, additional, Yoo, Tae-Hyun, additional, Kim, Beom Seok, additional, Kang, Shin-Wook, additional, Choi, Kyu Hun, additional, and Oh, Hyung Jung, additional

Published
2015
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6. Effect of Peritoneal Dialysis Modality on the 1-Year Rate of Decline of Residual Renal Function

Author

Kim, Chan Ho, primary, Oh, Hyung Jung, additional, Lee, Mi Jung, additional, Kwon, Young Eun, additional, Kim, Yung Ly, additional, Nam, Ki Heon, additional, Park, Kyoung Sook, additional, An, Seong Yeong, additional, Ko, Kwang Il, additional, Koo, Hyang Mo, additional, Doh, Fa Mee, additional, Han, Seung Hyeok, additional, Yoo, Tae-Hyun, additional, Kim, Beom Seok, additional, Kang, Shin-Wook, additional, and Choi, Kyu Hun, additional

Published
2014
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7. Stepwise Treatment Using Corticosteroids Alone and in Combination with Cyclosporine in Korean Patients with Idiopathic Membranous Nephropathy

Author

Shin, Dong Ho, primary, Lee, Mi Jung, additional, Oh, Hyung Jung, additional, Koo, Hyang Mo, additional, Doh, Fa Mee, additional, Kim, Hyoung Rae, additional, Han, Jae Hyun, additional, Park, Jung Tak, additional, Han, Seung Hyeok, additional, Choi, Kyu Hun, additional, Yoo, Tae-Hyun, additional, and Kang, Shin-Wook, additional

Published
2013
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14. Prediction of High-Risk Neuroblastoma Among Neuroblastic Tumors Using Radiomics Features Derived from Magnetic Resonance Imaging: A Pilot Study.

Author

Kim J, Choi YH, Yoon H, Lim HJ, Han JW, and Lee MJ

Subjects
Humans, Pilot Projects, Female, Male, Child, Preschool, Infant, Child, ROC Curve, Logistic Models, Adolescent, Radiomics, Neuroblastoma diagnostic imaging, Neuroblastoma pathology, Magnetic Resonance Imaging methods
Abstract

Purpose: This study aimed to predict high-risk neuroblastoma among neuroblastic tumors using radiomics features extracted from MRI., Materials and Methods: Pediatric patients (age≤18 years) diagnosed with neuroblastic tumors who had pre-treatment MR images available were enrolled from institution A from January 2010 to November 2019 (training set) and institution B from January 2016 to January 2022 (test set). Segmentation was performed with regions of interest manually drawn along tumor margins on the slice with the widest tumor area by two radiologists. First-order and texture features were extracted and intraclass correlation coefficients (ICCs) were calculated. Multivariate logistic regression (MLR) and random forest (RF) models from 10-fold cross-validation were built using these features. The trained MLR and RF models were tested in an external test set., Results: Thirty-two patients (M:F=23:9, 26.0±26.7 months) were in the training set and 14 patients (M:F=10:4, 33.4±20.4 months) were in the test set with radiomics features (n=930) being extracted. For 10 of the most relevant features selected, intra- and inter-observer variability was moderate to excellent (ICCs 0.633-0.911, 0.695-0.985, respectively). The area under the receiver operating characteristic curve (AUC) was 0.94 (sensitivity 67%, specificity 91%, and accuracy 84%) for the MLR model and the average AUC was 0.83 (sensitivity 44%, specificity 87%, and accuracy 75%) for the RF model from 10-fold cross-validation. In the test set, AUCs of the MLR and RF models were 0.94 and 0.91, respectively., Conclusion: An MRI-based radiomics model can help predict high-risk neuroblastoma among neuroblastic tumors., Competing Interests: The authors have no potential conflicts of interest to disclose., (© Copyright: Yonsei University College of Medicine 2024.)

Published
2024
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