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424 results on '"Lyshchik, Andrej"'

1. Combining CEUS and CT/MRI LI-RADS major imaging features: diagnostic accuracy for classification of indeterminate liver observations in patients at risk for HCC

Author

Siu Xiao, Tania, Kuon Yeng Escalante, Cristina Mariuxi, Tahmasebi, Aylin, Kono, Yuko, Piscaglia, Fabio, Wilson, Stephanie R., Medellin-Kowalewski, Alexandra, Rodgers, Shuchi K., Planz, Virginia, Kamaya, Aya, Fetzer, David T., Berzigotti, Annalisa, Radu, Iuliana-Pompilia, Sidhu, Paul S., Wessner, Corinne E., Bradigan, Kristen, Eisenbrey, John R., Forsberg, Flemming, and Lyshchik, Andrej

Published
2024
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7. Volumetric Quantitative Contrast-enhanced Ultrasonography Evaluation of Complex Renal Cysts: An Adjunctive Metric to the Bosniak Classification System to Predict Malignancy

Author

Chandrasekar, Thenappan, Clark, Cassra B., Gomella, Andrew, Wessner, Corinne E., Wang, Shuo, Nam, Kibo, Liu, Ji-Bin, Forsberg, Flemming, Lyshchik, Andrej, Halpern, Ethan, Mark, James R., Lallas, Costas D., Gomella, Leonard G., Kania, Leann, Trabulsi, Edouard J., and Eisenbrey, John R.

Published
2023
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8. ACR Appropriateness Criteria® Acute Pyelonephritis: 2022 Update

Author

Smith, Andrew D., Nikolaidis, Paul, Khatri, Gaurav, Chong, Suzanne T., De Leon, Alberto Diaz, Ganeshan, Dhakshinamoorthy, Gore, John L., Gupta, Rajan T., Kwun, Richard, Lyshchik, Andrej, Nicola, Refky, Purysko, Andrei S., Savage, Stephen J., Taffel, Myles T., Yoo, Don C., Delaney, Erin W., and Lockhart, Mark E.

Published
2022
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12. Feasibility of large language models for CEUS LI-RADS categorization of small liver nodules in patients at risk for hepatocellular carcinoma.

Author

Huang, Jiayan, Yang, Rui, Huang, Xiaotong, Zeng, Keyu, Liu, Yan, Luo, Jun, Lyshchik, Andrej, and Lu, Qiang

Subjects
LANGUAGE models, GEMINI (Chatbot), CONTRAST-enhanced ultrasound, ULTRASONIC imaging, HEPATOCELLULAR carcinoma
Abstract

Background: Large language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigated Purpose: To evaluate the performance of LLMs integrated with Contrast-enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) in diagnosing small (≤20mm) hepatocellular carcinoma (sHCC) in high-risk patients. Materials and Methods: From November 2014 to December 2023, high-risk HCC patients with untreated small (≤20mm) focal liver lesions (sFLLs), were included in this retrospective study. ChatGPT-4.0, ChatGPT-4o, ChatGPT-4o mini, and Google Gemini were integrated with imaging features from structured CEUS LI-RADS reports to assess their diagnostic performance for sHCC. The diagnostic efficacy of LLMs for small HCC were compared using McNemar test. Results: The final population consisted of 403 high-risk patients (52 years ± 11, 323 men). ChatGPT-4.0 and ChatGPT-4o demonstrated substantial to almost perfect intra-agreement for CEUS LI-RADS categorization (κ values: 0.76-1.0 and 0.7-0.94, respectively), outperforming ChatGPT-4o mini (κ values: 0.51-0.72) and Google Gemini (κ values: -0.04-0.47). ChatGPT-4.0 had higher sensitivity in detecting sHCC than ChatGPT-4o (83%-89% vs. 70%-78%, p < 0.02) with comparable specificity (76%-90% vs. 83%-86%, p > 0.05). Compared to human readers, ChatGPT-4.0 showed superior sensitivity (83%-89% vs. 63%-78%, p < 0.004) and comparable specificity (76%-90% vs. 90%-95%, p > 0.05) in diagnosing sHCC. Conclusion: LLM integrated with CEUS LI-RADS offers potential tool in diagnosing sHCC for high-risk patients. ChatGPT-4.0 demonstrated satisfactory consistency in CEUS LI-RADS categorization, offering higher sensitivity in diagnosing sHCC while maintaining comparable specificity to that of human readers. [ABSTRACT FROM AUTHOR]

Published
2025
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14. LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance

Author

Elsayes, Khaled M, Kielar, Ania Z, Chernyak, Victoria, Morshid, Ali, Furlan, Alessandro, Masch, William R, Marks, Robert M, Kamaya, Aya, G, Richard K, Kono, Yuko, Fowler, Kathryn J, Tang, An, Bashir, Mustafa R, Hecht, Elizabeth M, Jambhekar, Kedar, Lyshchik, Andrej, Rodgers, Shuchi K, Heiken, Jay P, Kohli, Marc, Fetzer, David T, Wilson, Stephanie R, Kassam, Zahra, Mendiratta-Lala, Mishal, Singal, Amit G, Lim, Christopher S, Cruite, Irene, Lee, James, Ash, Ryan, Mitchell, Donald G, McInnes, Matthew DF, and Sirlin, Claude B

Subjects
Chronic Liver Disease and Cirrhosis, Digestive Diseases, Rare Diseases, Liver Disease, Cancer, Biomedical Imaging, Liver Cancer, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Good Health and Well Being, LI-RADS, v2018, CT, MRI, CEUS, US, HCC, liver imaging, reporting, cirrhosis
Abstract

The Liver Imaging Reporting and Data System (LI-RADS®) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver observations in individuals at high risk for hepatocellular carcinoma (HCC). LI-RADS is supported and endorsed by the American College of Radiology (ACR). Upon its initial release in 2011, LI-RADS applied only to liver observations identified at CT or MRI. It has since been refined and expanded over multiple updates to now also address ultrasound-based surveillance, contrast-enhanced ultrasound for HCC diagnosis, and CT/MRI for assessing treatment response after locoregional therapy. The LI-RADS 2018 version was integrated into the HCC diagnosis, staging, and management practice guidance of the American Association for the Study of Liver Diseases (AASLD). This article reviews the major LI-RADS updates since its 2011 inception and provides an overview of the currently published LI-RADS algorithms.

Published
2019

15. Liver Imaging Reporting and Data System Contrast-Enhanced US Nonradiation Treatment Response Assessment Version 2024

Author

Lyshchik, Andrej, primary, Fetzer, David T., additional, Kono, Yuko, additional, Wilson, Stephanie R., additional, Dietrich, Christoph F., additional, Clevert, Dirk A., additional, Meloni, Maria Franca, additional, Jang, Hyun-Jung, additional, Kim, Tae Kyoung, additional, Lee, Jeong Min, additional, Minami, Yasunori, additional, Kudo, Masatoshi, additional, Piscaglia, Fabio, additional, and Atzen, Sarah, additional

Published
2024
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18. ACR Appropriateness Criteria® Adrenal Mass Evaluation: 2021 Update

Author

Mody, Rekha N., Remer, Erick M., Nikolaidis, Paul, Khatri, Gaurav, Dogra, Vikram S., Ganeshan, Dhakshinamoorthy, Gore, John L., Gupta, Rajan T., Heilbrun, Marta E., Lyshchik, Andrej, Mayo-Smith, William W., Purysko, Andrei S., Savage, Stephen J., Smith, Andrew D., Wang, Zhen J., Wolfman, Darcy J., Wong-You-Cheong, Jade J., Yoo, Don C., and Lockhart, Mark E.

Published
2021
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21. How to perform Contrast-Enhanced Ultrasound (CEUS)

Author

Dietrich, Christoph F, Averkiou, Michalakis, Nielsen, Michael Bachmann, Barr, Richard G, Burns, Peter N, Calliada, Fabrizio, Cantisani, Vito, Choi, Byung, Chammas, Maria C, Clevert, Dirk-André, Claudon, Michel, Correas, Jean-Michel, Cui, Xin-Wu, Cosgrove, David, D'Onofrio, Mirko, Dong, Yi, Eisenbrey, JohnR, Fontanilla, Teresa, Gilja, Odd Helge, Ignee, Andre, Jenssen, Christian, Kono, Yuko, Kudo, Masatoshi, Lassau, Nathalie, Lyshchik, Andrej, Meloni, Maria Franca, Moriyasu, Fuminori, Nolsøe, Christian, Piscaglia, Fabio, Radzina, Maija, Saftoiu, Adrian, Sidhu, Paul S, Sporea, Ioan, Schreiber-Dietrich, Dagmar, Sirlin, Claude B, Stanczak, Maria, Weskott, Hans-Peter, Wilson, Stephanie R, Willmann, Juergen Karl, Kim, Tae Kyoung, Jang, Hyun-Jung, Vezeridis, Alexandar, and Westerway, Sue

Subjects
Biomedical Imaging, guidelines, teaching, ultrasonography, cancer
Abstract

"How to perform contrast-enhanced ultrasound (CEUS)" provides general advice on the use of ultrasound contrast agents (UCAs) for clinical decision-making and reviews technical parameters for optimal CEUS performance. CEUS techniques vary between centers, therefore, experts from EFSUMB, WFUMB and from the CEUS LI-RADS working group created a discussion forum to standardize the CEUS examination technique according to published evidence and best personal experience. The goal is to standardise the use and administration of UCAs to facilitate correct diagnoses and ultimately to improve the management and outcomes of patients.

Published
2018

22. ACR Appropriateness Criteria® Renal Failure

Author

Wong-You-Cheong, Jade J., Nikolaidis, Paul, Khatri, Gaurav, Dogra, Vikram S., Ganeshan, Dhakshinamoorthy, Goldfarb, Stanley, Gore, John L., Gupta, Rajan T., Heilbrun, Marta E., Lyshchik, Andrej, Metter, Darlene F., Purysko, Andrei S., Savage, Stephen J., Smith, Andrew D., Wang, Zhen J., Wolfman, Darcy J., and Lockhart, Mark E.

Published
2021
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23. Contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) 2017 – a review of important differences compared to the CT/MRI system

Author

Kim, Tae Kyoung, Noh, Seung Yeon, Wilson, Stephanie R, Kono, Yuko, Piscaglia, Fabio, Jang, Hyun-Jung, Lyshchik, Andrej, Dietrich, Christoph F, Willmann, Juergen K, Vezeridis, Alexander, and Sirlin, Claude B

Subjects
Cancer, Liver Disease, Rare Diseases, Liver Cancer, Biomedical Imaging, Digestive Diseases, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Algorithms, Carcinoma, Hepatocellular, Contrast Media, Humans, Liver, Liver Neoplasms, Magnetic Resonance Imaging, Tomography, X-Ray Computed, Ultrasonography, Carcinoma, Hepatocellular, Diagnosis, Ultrasonic, Diagnosis, Ultrasonic
Abstract

Medical imaging plays an important role in the diagnosis and management of hepatocellular carcinoma (HCC). The Liver Imaging Reporting and Data System (LI-RADS) was initially created to standardize the reporting and data collection of CT and MR imaging for patients at risk for HCC. As contrast-enhanced ultrasound (CEUS) has been widely used in clinical practice, it has recently been added to the LI-RADS. While CEUS LI-RADS shares fundamental concepts with CT/MRI LI-RADS, there are key differences between the modalities reflecting dissimilarities in the underlying methods of image acquisition and types of contrast material. This review introduces a recent update of CEUS LI-RADS and explains the key differences from CT/MRI LI-RADS.

Published
2017

24. American College of Radiology Contrast Enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) for the diagnosis of Hepatocellular Carcinoma: a pictorial essay

Author

Piscaglia, Fabio, Wilson, Stephanie R, Lyshchik, Andrej, Cosgrove, David, Dietrich, Christoph F, Jang, Hyun-Jung, Kim, Tae Kyoung, Salvatore, Veronica, Willmann, Juergen Karl, Sirlin, Claude B, and Kono, Yuko

Subjects
Carcinoma, Hepatocellular, Data Systems, Humans, Liver Neoplasms, Tomography, X-Ray Computed, United States, diagnostic radiology, contrast agents, tumor, Nuclear Medicine & Medical Imaging
Published
2017

27. ACR Appropriateness Criteria® Indeterminate Renal Mass

Author

Wang, Zhen J., Nikolaidis, Paul, Khatri, Gaurav, Dogra, Vikram S., Ganeshan, Dhakshinamoorthy, Goldfarb, Stanley, Gore, John L., Gupta, Rajan T., Hartman, Robert P., Heilbrun, Marta E., Lyshchik, Andrej, Purysko, Andrei S., Savage, Stephen J., Smith, Andrew D., Wolfman, Darcy J., Wong-You-Cheong, Jade J., and Lockhart, Mark E.

Published
2020
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28. Guidelines and Good Clinical Practice Recommendations for Contrast-Enhanced Ultrasound (CEUS) in the Liver–Update 2020 WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS

Author

Dietrich, Christoph F., Nolsøe, Christian Pállson, Barr, Richard G., Berzigotti, Annalisa, Burns, Peter N., Cantisani, Vito, Chammas, Maria Cristina, Chaubal, Nitin, Choi, Byung Ihn, Clevert, Dirk-André, Cui, Xinwu, Dong, Yi, D'Onofrio, Mirko, Fowlkes, J. Brian, Gilja, Odd Helge, Huang, Pintong, Ignee, Andre, Jenssen, Christian, Kono, Yuko, Kudo, Masatoshi, Lassau, Nathalie, Lee, Won Jae, Lee, Jae Young, Liang, Ping, Lim, Adrian, Lyshchik, Andrej, Meloni, Maria Franca, Correas, Jean Michel, Minami, Yasunori, Moriyasu, Fuminori, Nicolau, Carlos, Piscaglia, Fabio, Saftoiu, Adrian, Sidhu, Paul S., Sporea, Ioan, Torzilli, Guido, Xie, Xiaoyan, and Zheng, Rongqin

Published
2020
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29. ACR Appropriateness Criteria® Hematuria

Author

Wolfman, Darcy J., Marko, Jamie, Nikolaidis, Paul, Khatri, Gaurav, Dogra, Vikram S., Ganeshan, Dhakshinamoorthy, Goldfarb, Stanley, Gore, John L., Gupta, Rajan T., Heilbrun, Marta E., Lyshchik, Andrej, Purysko, Andrei S., Savage, Stephen J., Smith, Andrew D., Wang, Zhen J., Wong-You-Cheong, Jade J., Yoo, Don C., and Lockhart, Mark E.

Published
2020
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30. Contrast Enhanced Ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS®): the official version by the American College of Radiology (ACR).

Author

Kono, Yuko, Lyshchik, Andrej, Cosgrove, David, Dietrich, Christoph F, Jang, Hyun-Jung, Kim, Tae Kyoung, Piscaglia, Fabio, Willmann, Juergen K, Wilson, Stephanie R, Santillan, Cynthia, Kambadakone, Avinash, Mitchell, Donald, Vezeridis, Alexander, and Sirlin, Claude B

Subjects
Humans, Carcinoma, Hepatocellular, Liver Neoplasms, Ultrasonography, United States, Nuclear Medicine & Medical Imaging
Published
2017

31. Inter‐Reader Agreement for Contrast‐Enhanced Ultrasound Liver Imaging Reporting and Data System Major Features and Final Categorization

Author

Kuon Yeng Escalante, Cristina M., Siu Xiao, Tania, Kono, Yuko, Piscaglia, Fabio, Wilson, Stephanie R., Medellin, Alexandra, Rodgers, Shuchi K., Planz, Virginia, Kamaya, Aya, Fetzer, David T., Berzigotti, Annalisa, Sidhu, Paul S., Wessner, Corinne E., Bradigan, Kristen, Eisenbrey, John R., Forsberg, Flemming, Lyshchik, Andrej, Yusuf, Gibran T., Suddle, Abid, Rafailidis, Vasileios D., Mulazzani, Lorenzo, Granito, Alessandro, Terzi, Eleonora, Forgione, Antonella, Giamperoli, Alice, Stefanini, Bernardo, Radu, Iuliana‐Pompilia, and Singal, Amit G.

Abstract

Contrast‐enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI‐RADS) is used to definitively diagnose hepatocellular carcinoma (HCC) in patients at risk. However, the user variability associated with CEUS LI‐RADS has not been validated in North American and European patients. This study aims to evaluate the inter‐reader agreements of CEUS LI‐RADS features for, and final categorization of, HCC in patients at risk. This retrospective multicenter clinical study used the database of a previous prospective multinational study, evaluating the accuracy of CEUS LI‐RADS for HCC diagnosis in patients at risk. All cases were first evaluated by a site physician performing/supervising the CEUS examination. Randomly selected cases were re‐evaluated by a blinded central reader. Final diagnosis was confirmed with the reference standard, which was a composite of imaging tests and histology. Cohen's kappa test was used to evaluate inter‐reader agreement. This study included 150 liver nodules and 58.0% (87/150) were confirmed as HCC, 4.7% (7/150) non‐HCC malignancies, 22.7% (34/150) had no confirmed final diagnosis, and 14.7% (22/150) were nonmalignant. Inter‐reader agreements were substantial for CEUS LI‐RADS categorization (κ= 0.61; 95% confidence interval [CI]: 0.51–0.71) and major features assessment (ranged κ= 0.64–0.78), LR‐5 (κ= 0.65; 95% CI: 0.52–0.77), and LR‐M (κ= 0.67; 95% CI: 0.44–0.90), while for LR‐1 and LR‐2 categorization was almost perfect (κ= 0.85; 95% CI: 0.65–1.00). Our study reported a substantial inter‐reader agreement for overall CEUS LI‐RADS categorization, especially for LR‐5 and LR‐M, and major imaging features of HCC, further confirming CEUS LI‐RADS as a valuable and reliable tool for diagnosis of HCC.

Published
2025
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37. Contrast-enhanced US Evaluation of Hepatocellular Carcinoma Response to Chemoembolization: A Prospective Multicenter Trial

Author

Savsani, Esika, primary, Shaw, Colette M., additional, Forsberg, Flemming, additional, Wessner, Corinne E., additional, Lyshchik, Andrej, additional, O'Kane, Patrick, additional, Liu, Ji-Bin, additional, Balasubramanya, Rashmi, additional, Roth, Christopher G., additional, Naringrekar, Haresh, additional, Keith, Scott W., additional, Tan, Allison, additional, Anton, Kevin, additional, Bradigan, Kristen, additional, Civan, Jesse, additional, Schultz, Susan, additional, Shamimi-Noori, Susan, additional, Hunt, Stephen, additional, Soulen, Michael C., additional, Mattrey, Robert F., additional, Kono, Yuko, additional, and Eisenbrey, John R., additional

Published
2023
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38. Contrast-enhanced ultrasound liver imaging reporting and data system: clinical validation in a prospective multinational study in North America and Europe.

Author

Lyshchik, Andrej, Wessner, Corinne E., Bradigan, Kristen, Eisenbrey, John R., Forsberg, Flemming, Misung Yi, Keith, Scott W., Yuko Kono, Wilson, Stephanie R., Medellin, Alexandra, Rodgers, Shuchi K., Planz, Virginia, Kamaya, Aya, Finch, Lisa, Fetzer, David T., Berzigotti, Annalisa, Sidhu, Paul S., and Piscaglia, Fabio

Published
2024
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43. Contrast-Enhanced Ultrasound LI-RADS: A Pictorial Review

Author

Mahmoud, Osama, Makkena, Ajay, Wessner, Corinne E., Liu, Ji-Bin, Eisenbrey, John, Lyshchik, Andrej, Mahmoud, Osama, Makkena, Ajay, Wessner, Corinne E., Liu, Ji-Bin, Eisenbrey, John, and Lyshchik, Andrej

Abstract

The American College of Radiology has implemented the Liver Imaging Reporting and Data System (LI-RADS) to help detect, interpret, and guide the management of suspected lesions on surveillance imaging for hepatocellular carcinoma (HCC) in patients with cirrhosis. The classification of indeterminate nodules with a grading algorithm can be used for multiple imaging modalities (US, CT, and MRI) and incorporates multiple imaging features to appropriately classify observations with different likelihood of being HCC. Contrast-enhanced ultrasound (CEUS) LI-RADS has been fully implemented since 2017. The aim of this pictorial article is to provide a comprehensive review of CEUS LI-RADS utilization, discuss its advantages, and highlight areas for potential improvement.

Published
2023

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