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9 results on '"Kwon, Heejin"'

2. CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma: Individual Patient Data Meta-Analysis

Author

Pol, Christian B. van der, McInnes, Matthew D. F., Salameh, Jean-Paul, Levis, Brooke, Chernyak, Victoria, Sirlin, Claude B., Bashir, Mustafa R., Allen, Brian C., Burke, Lauren M. B., Choi, Jin-Young, Choi, Sang Hyun, Forner, Alejandro, Fraum, Tyler J., Giamperoli, Alice, Jiang, Hanyu, Joo, Ijin, Kang, Zhen, Kierans, Andrea S., Kang, Hyo-Jin, Khatri, Gaurav, Kim, Jung Hoon, Kim, Myeong-Jin, Kim, So Yeon, Kim, Yeun-Yoon, Kwon, Heejin, Lee, Jeong Min, Lewis, Sara C., McGinty, Katrina A., Mulazzani, Lorenzo, Park, Mi-Suk, Piscaglia, Fabio, Podgórska, Joanna, Reiner, Caecilia S., Ronot, Maxime, Rosiak, Grzegorz, Song, Bin, Song, Ji Soo, Tang, An, Terzi, Eleonora, Wang, Jin, Wang, Wei, Wilson, Stephanie R., and Yokoo, Takeshi

Abstract

Most CT/MRI and CEUS LI-RADS major features had independent associations with hepatocellular carcinoma; arterial phase hyperenhancement and washout had the strongest associations whereas, for CT/MRI, threshold growth had no association.

Published
2022
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3. LI-RADS CT and MRI Ancillary Feature Association with Hepatocellular Carcinoma and Malignancy: An Individual Participant Data Meta-Analysis

Author

Dawit, Haben, Lam, Eric, McInnes, Matthew D. F., Pol, Christian B. van der, Bashir, Mustafa R., Salameh, Jean-Paul, Levis, Brooke, Sirlin, Claude B., Chernyak, Victoria, Choi, Sang Hyun, Kim, So Yeon, Fraum, Tyler J., Tang, An, Jiang, Hanyu, Song, Bin, Wang, Jin, Wilson, Stephanie R., Kwon, Heejin, Kierans, Andrea S., Joo, Ijin, Ronot, Maxime, Song, Ji Soo, Podgórska, Joanna, Rosiak, Grzegorz, Kang, Zhen, Allen, Brian C., and Costa, Andreu F.

Abstract

In an individual participant data meta-analysis, most Liver Imaging Reporting and Data System CT and MRI ancillary features were independently associated with hepatocellular carcinoma, malignancy, or benignity as intended when adjusting for major features.

Published
2024
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4. Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis

Author

Goins, Stacy M., Jiang, Hanyu, Pol, Christian B. van der, Salameh, Jean-Paul, Lam, Eric, Adamo, Robert G., McInnes, Matthew D. F., Costa, Andreu F., Tang, An, Alhasan, Ayman S., Allen, Brian C., Reiner, Caecilia S., Clarke, Christopher, Cerny, Milena, Wang, Jin, Choi, Sang Hyun, Fraum, Tyler J., Ludwig, Daniel R., Song, Bin, Joo, Ijin, Kang, Zhen, Kierans, Andrea S., Kim, So Yeon, Kwon, Heejin, Ronot, Maxime, Podgórska, Joanna, Rosiak, Grzegorz, Song, Ji Soo, and Bashir, Mustafa R.

Abstract

This individual patient data meta-analysis confirmed that, compared with Liver Imaging Reporting and Data System (LI-RADS) version 2018 category 5, the revised LI-RADS category 5 showed higher sensitivity and similar positive predictive value in the diagnosis of hepatocellular carcinoma.

Published
2023
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5. The Detection of Focal Liver Lesions Using Abdominal CT: A Comparison of Image Quality Between Adaptive Statistical Iterative Reconstruction V and Adaptive Statistical Iterative Reconstruction.

Author

Lee, Sangyun, Kwon, Heejin, and Cho, Jihan

Abstract

Rationale and Objectives: To investigate image quality characteristics of abdominal computed tomography (CT) scans reconstructed with adaptive statistical iterative reconstruction V (ASIR-V) vs currently using applied adaptive statistical iterative reconstruction (ASIR).Materials and Method: This institutional review board-approved study included 35 consecutive patients who underwent CT of the abdomen. Among these 35 patients, 27 with focal liver lesions underwent abdomen CT with a 128-slice multidetector unit using the following parameters: fixed noise index of 30, 1.25 mm slice thickness, 120 kVp, and a gantry rotation time of 0.5 seconds. CT images were analyzed depending on the method of reconstruction: ASIR (30%, 50%, and 70%) vs ASIR-V (30%, 50%, and 70%). Three radiologists independently assessed randomized images in a blinded manner. Imaging sets were compared to focal lesion detection numbers, overall image quality, and objective noise with a paired sample t test. Interobserver agreement was assessed with the intraclass correlation coefficient.Results: The detection of small focal liver lesions (<10 mm) was significantly higher when ASIR-V was used when compared to ASIR (P <0.001). Subjective image noise, artifact, and objective image noise in liver were generally significantly better for ASIR-V compared to ASIR, especially in 50% ASIR-V. Image sharpness and diagnostic acceptability were significantly worse in 70% ASIR-V compared to various levels of ASIR.Conclusion: Images analyzed using 50% ASIR-V were significantly better than three different series of ASIR or other ASIR-V conditions at providing diagnostically acceptable CT scans without compromising image quality and in the detection of focal liver lesions. [ABSTRACT FROM AUTHOR]

Published
2016
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6. CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma: Individual Patient Data Meta-Analysis

Author

van der Pol, Christian B., McInnes, Matthew D. F., Salameh, Jean-Paul, Levis, Brooke, Chernyak, Victoria, Sirlin, Claude B., Bashir, Mustafa R., Allen, Brian C., Burke, Lauren M. B., Choi, Jin-Young, Choi, Sang Hyun, Forner, Alejandro, Fraum, Tyler J., Giamperoli, Alice, Jiang, Hanyu, Joo, Ijin, Kang, Zhen, Kierans, Andrea S., Kang, Hyo-Jin, Khatri, Gaurav, Kim, Jung Hoon, Kim, Myeong-Jin, Kim, So Yeon, Kim, Yeun-Yoon, Kwon, Heejin, Lee, Jeong Min, Lewis, Sara C., McGinty, Katrina A., Mulazzani, Lorenzo, Park, Mi-Suk, Piscaglia, Fabio, Podgórska, Joanna, Reiner, Caecilia S., Ronot, Maxime, Rosiak, Grzegorz, Song, Bin, Song, Ji Soo, Tang, An, Terzi, Eleonora, Wang, Jin, Wang, Wei, Wilson, Stephanie R., and Yokoo, Takeshi

Published
2022
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7. Initial Phantom Study Comparing Image Quality in Computed Tomography Using Adaptive Statistical Iterative Reconstruction and New Adaptive Statistical Iterative Reconstruction V

Author

Lim, Kyungjae, Kwon, Heejin, Cho, Jinhan, Oh, Jongyoung, Yoon, Seongkuk, Kang, Myungjin, Ha, Dongho, Lee, Jinhwa, and Kang, Eunju

Abstract

The purpose of this study was to assess the image quality of a novel advanced iterative reconstruction (IR) method called as “adaptive statistical IR V” (ASIR-V) by comparing the image noise, contrast-to-noise ratio (CNR), and spatial resolution from those of filtered back projection (FBP) and adaptive statistical IR (ASIR) on computed tomography (CT) phantom image.

Published
2015
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8. Demonstration of Anti-ambipolar Switch and Its Applications for Extremely Low Power Ternary Logic Circuits

Author

Lee, Yongsu, Kim, Sunmean, Lee, Ho-In, Kim, Seung-Mo, Kim, So-Young, Kim, Kiyung, Kwon, Heejin, Lee, Hae-Won, Hwang, Hyeon Jun, Kang, Seokhyeong, and Lee, Byoung Hun

Abstract

Anti-ambipolar switch (AAS) devices at a narrow bias region are necessary to solve the intrinsic leakage current problem of ternary logic circuits. In this study, an AAS device with a very high peak-to-valley ratio (∼106) and adjustable operating range characteristics was successfully demonstrated using a ZnO and dinaphtho[2,3-b:2′,3′-f]thieno[3,2-b]thiophene heterojunction structure. The entire device integration was completed at a low thermal budget of less than 200 °C, which makes this AAS device compatible with monolithic 3D integration. A 1-trit ternary full adder designed with this AAS device exhibits excellent power–delay product performance (∼122 aJ) with extremely low power (∼0.15 μW, 7 times lower than the reference circuit) and lower device count than those of other ternary device candidates.

Published
2022
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