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Wang D, Zhang Y, Lyu R, Jia K, Xu PJ. LI-RADS version 2018 treatment response algorithm on extracellular contrast-enhanced MRI in patients treated with transarterial chemoembolization for hepatocellular carcinoma: diagnostic performance and the added value of ancillary features. Abdom Radiol (NY) 2024; 49:3045-3055. [PMID: 38605217 DOI: 10.1007/s00261-024-04275-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/03/2024] [Accepted: 03/03/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND The Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) (LI-RADS TRA) is used for assessing response of HCC to locoregional therapy (LRT), however, the value of ancillary features (AFs) for TACE-treated HCCs has not been extensively investigated on extracellular agent MRI (ECA-MRI). PURPOSE To evaluate the diagnostic performance of LI-RADS v2018 TRA on ECA-MRI for HCC treated with transarterial chemoembolization (TACE) and the value of ancillary features. METHODS This retrospective study included patients who underwent TACE for HCC and then followed by hepatic surgery between January 2019 and June 2023 with both pre- and post-TACE contrast-enhanced MRI available. Two radiologists independently evaluated the post-treated lesions on MRI using LI-RADS treatment response (TR) (LR-TR) algorithm and modified LR-TR (mLR-TR) algorithm in which ancillary features (restricted diffusion and intermediate T2-weighted hyperintensity) were added, respectively. Lesions were categorized as complete pathologic necrosis (100%, CPN) and non-complete pathologic necrosis (< 100%, non-CPN) on the basis of surgical pathology. The diagnostic performance in predicting viable and non-viable tumors based on LR-TR and mLR-TR algorithms was compared using the McNemar test. Interreader agreement was calculated by using Cohen's weighted and unweighted κ. RESULTS A total of 61 patients [mean age 59 years ± 10 (standard deviation); 47 men] with 79 lesions (57 pathologically viable) were included. For non-CPN prediction, the sensitivity, specificity of LR-TR viable and mLR-TR viable category were 75% (43 of 57), 82% (18 of 22) and 88% (50 of 57), 77% (17 of 22), respectively, the sensitivity of mLR-TR was significantly higher than that of LR-TR (P = 0.016) without difference in specificity (P = 1.000). Interreader agreement for LR-TR and mLR-TR category was moderate (k = 0.50, 95% confidence interval 0.33, 0.67, k = 0.42, 95% confidence interval 0.20, 0.63). The sensitivity of both LR-TR and mLR-TR algorithms in predicting viable tumors between conventional TACE (cTACE) and drug-eluting beads TACE (DEB-TACE) did not have significant difference (cTACE: 76%, 89% vs. DEB-TACE: 73%, 82%). CONCLUSIONS On ECA-MRI, applying ancillary features to LI-RADS v2018 TRA can improve the sensitivity in predicting pathologic tumor viability in patients treated with TACE for hepatocellular carcinoma with no significant difference in specificity.
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Affiliation(s)
- Di Wang
- Department of Radiology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin, 300170, China
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China
| | - Yang Zhang
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China
- Department of Radiology, Dongying People's Hospital Shandong, Dongying, China
| | - Rong Lyu
- Department of Radiology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Kefeng Jia
- Department of Radiology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, No. 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Peng-Ju Xu
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
- Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
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Chernyak V. Up-to-Date Role of Liver Imaging Reporting and Data System in Hepatocellular Carcinoma. Surg Oncol Clin N Am 2024; 33:59-72. [PMID: 37945145 DOI: 10.1016/j.soc.2023.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
This article overviews Liver Imaging Reporting and Data System (LI-RADS), a system that standardizes techniques, interpretation and reporting of imaging studies done for hepatocellular carcinoma surveillance, diagnosis, and locoregional treatment response assessment. LI-RADS includes 4 algorithms, each of which defines ordinal categories reflecting probability of the assessed outcome. The categories, in turn, guide patient management. The LI-RADS diagnostic algorithms provide diagnostic criteria for the entire spectrum of lesions found in at-risk patients. In addition, the use of LI-RADS in clinical care improves clarity of communication between radiologists and clinicians and may improve the performance of inexperienced users to the levels of expert liver imagers.
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Affiliation(s)
- Victoria Chernyak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
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3
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Patel R, Aslam A, Parikh ND, Mervak B, Mubarak E, Higgins L, Lala K, Conner JF, Khaykin V, Bashir M, Do RKG, Burke LMB, Smith EN, Kim CY, Shampain KL, Owen D, Mendiratta-Lala M. Updates on LI-RADS Treatment Response Criteria for Hepatocellular Carcinoma: Focusing on MRI. J Magn Reson Imaging 2023; 57:1641-1654. [PMID: 36872608 PMCID: PMC11078141 DOI: 10.1002/jmri.28659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 03/07/2023] Open
Abstract
As the incidence of hepatocellular carcinoma (HCC) and subsequent treatments with liver-directed therapies rise, the complexity of assessing lesion response has also increased. The Liver Imaging Reporting and Data Systems (LI-RADS) treatment response algorithm (LI-RADS TRA) was created to standardize the assessment of response after locoregional therapy (LRT) on contrast-enhanced CT or MRI. Originally created based on expert opinion, these guidelines are currently undergoing revision based on emerging evidence. While many studies support the use of LR-TRA for evaluation of HCC response after thermal ablation and intra-arterial embolic therapy, data suggest a need for refinements to improve assessment after radiation therapy. In this manuscript, we review expected MR imaging findings after different forms of LRT, clarify how to apply the current LI-RADS TRA by type of LRT, explore emerging literature on LI-RADS TRA, and highlight future updates to the algorithm. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Richa Patel
- Department of Radiology, Stanford, California, USA
| | - Anum Aslam
- Department of Radiology, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Neehar D Parikh
- Department of Internal Medicine, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Benjamin Mervak
- Department of Radiology, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Eman Mubarak
- Department of Radiology, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Lily Higgins
- Department of Radiology, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Kayli Lala
- Department of Radiology, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Jack F Conner
- Department of Radiology, University of Toledo Medical Center, Toledo, Ohio, USA
| | - Valerie Khaykin
- Department of Radiology and Hepatology, University of Michigan Medicine, Michigan, USA
| | - Mustafa Bashir
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Richard Kinh Gian Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Lauren M B Burke
- Department of Radiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Elainea N Smith
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Charles Y Kim
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Kimberly L Shampain
- Department of Radiology, University of Michigan Medicine, Ann Arbor, Michigan, USA
| | - Dawn Owen
- Department of Radiation Oncology, Mayo Clinic Rochester, Rochester, Minnesota, USA
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4
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Chernyak V, Fowler KJ, Do RKG, Kamaya A, Kono Y, Tang A, Mitchell DG, Weinreb J, Santillan CS, Sirlin CB. LI-RADS: Looking Back, Looking Forward. Radiology 2023; 307:e222801. [PMID: 36853182 PMCID: PMC10068888 DOI: 10.1148/radiol.222801] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/09/2023] [Accepted: 01/23/2023] [Indexed: 03/01/2023]
Abstract
Since its initial release in 2011, the Liver Imaging Reporting and Data System (LI-RADS) has evolved and expanded in scope. It started as a single algorithm for hepatocellular carcinoma (HCC) diagnosis with CT or MRI with extracellular contrast agents and has grown into a multialgorithm network covering all major liver imaging modalities and contexts of use. Furthermore, it has developed its own lexicon, report templates, and supplementary materials. This article highlights the major achievements of LI-RADS in the past 11 years, including adoption in clinical care and research across the globe, and complete unification of HCC diagnostic systems in the United States. Additionally, the authors discuss current gaps in knowledge, which include challenges in surveillance, diagnostic population definition, perceived complexity, limited sensitivity of LR-5 (definite HCC) category, management implications of indeterminate observations, challenges in reporting, and treatment response assessment following radiation-based therapies and systemic treatments. Finally, the authors discuss future directions, which will focus on mitigating the current challenges and incorporating advanced technologies. Tha authors envision that LI-RADS will ultimately transform into a probability-based system for diagnosis and prognostication of liver cancers that will integrate patient characteristics and quantitative imaging features, while accounting for imaging modality and contrast agent.
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Affiliation(s)
- Victoria Chernyak
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Kathryn J. Fowler
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Richard K. G. Do
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Aya Kamaya
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Yuko Kono
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - An Tang
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Donald G. Mitchell
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Jeffrey Weinreb
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Cynthia S. Santillan
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
| | - Claude B. Sirlin
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of
Radiology, University of California, San Diego, San Diego, Calif (K.J.F.,
C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center,
Stanford, Calif (A.K.); Department of Medicine and Radiology, University of
California, San Diego, San Diego, Calif (Y.K.); Department of Radiology,
Radiation Oncology and Nuclear Medicine, Université de Montréal,
Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson
University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology,
Yale Medical School, New Haven, Conn (J.W.)
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5
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Kim YY, Choi JY. [CT/MRI Liver Imaging Reporting and Data System (LI-RADS): Standardization, Evidence, and Future Direction]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:15-33. [PMID: 36818714 PMCID: PMC9935963 DOI: 10.3348/jksr.2022.0144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/29/2022] [Accepted: 12/27/2022] [Indexed: 02/10/2023]
Abstract
The liver imaging reporting and data system (LI-RADS) has been developed with the support of the American College of Radiology to standardize the diagnosis and evaluation of treatment response of hepatocellular carcinoma (HCC). The CT/MRI LI-RADS version 2018 has been incorporated in the American Association for the Study of Liver Diseases guidance. This review examines the effect of CT/MRI LI-RADS on the standardized reporting of liver imaging, and the evidence in diagnosing HCC and evaluating treatment response after locoregional treatment using CT/MRI LI-RADS. The results are compared with other HCC diagnosis guidelines, and future directions are described.
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Affiliation(s)
- Yeun-Yoon Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jin-Young Choi
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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Gatti M, Maino C, Darvizeh F, Serafini A, Tricarico E, Guarneri A, Inchingolo R, Ippolito D, Ricardi U, Fonio P, Faletti R. Role of gadoxetic acid-enhanced liver magnetic resonance imaging in the evaluation of hepatocellular carcinoma after locoregional treatment. World J Gastroenterol 2022; 28:3116-3131. [PMID: 36051340 PMCID: PMC9331537 DOI: 10.3748/wjg.v28.i26.3116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/25/2022] [Accepted: 06/17/2022] [Indexed: 02/06/2023] Open
Abstract
Locoregional treatments, as alternatives to surgery, play a key role in the management of hepatocellular carcinoma (HCC). Liver magnetic resonance imaging (MRI) enables a multiparametric assessment, going beyond the traditional dynamic computed tomography approach. Moreover, the use of hepatobiliary agents can improve diagnostic accuracy and are becoming important in the diagnosis and follow-up of HCC. However, the main challenge is to quickly identify classical responses to loco-regional treatments in order to determine the most suitable management strategy for each patient. The aim of this review is to provide a summary of the most common and uncommon liver MRI findings in patients who underwent loco-regional treatments for HCC, with a special focus on ablative therapies (radiofrequency, microwaves and cryoablation), trans-arterial chemoembolization, trans-arterial radio-embolization and stereotactic ablative radiotherapy techniques, considering the usefulness of gadoxetate disodium (Gd-EOB-DTPA) contrast agent.
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Affiliation(s)
- Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, University of Milano-Bicocca, Monza 20900, Italy
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Fatemeh Darvizeh
- School of Medicine, Vita-Salute San Raffaele University, Milan 20121, Italy
| | | | - Eleonora Tricarico
- Department of Radiology, "F. Perinei" Hospital, Altamura (BA) 70022, Italy
| | | | - Riccardo Inchingolo
- Interventional Radiology Unit, “F. Miulli” Regional General Hospital, Acquaviva delle Fonti (BA) 70021, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, University of Milano-Bicocca, Monza 20900, Italy
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Umberto Ricardi
- Department of Oncology, University of Turin, Turin 10126, Italy
| | - Paolo Fonio
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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7
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Passaro A, Leighl N, Blackhall F, Popat S, Kerr K, Ahn MJ, Arcila ME, Arrieta O, Planchard D, de Marinis F, Dingemans AM, Dziadziuszko R, Faivre-Finn C, Feldman J, Felip E, Curigliano G, Herbst R, Jänne PA, John T, Mitsudomi T, Mok T, Normanno N, Paz-Ares L, Ramalingam S, Sequist L, Vansteenkiste J, Wistuba II, Wolf J, Wu YL, Yang SR, Yang JCH, Yatabe Y, Pentheroudakis G, Peters S. ESMO expert consensus statements on the management of EGFR mutant non-small-cell lung cancer. Ann Oncol 2022; 33:466-487. [PMID: 35176458 DOI: 10.1016/j.annonc.2022.02.003] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/14/2022] [Accepted: 02/06/2022] [Indexed: 12/14/2022] Open
Abstract
The European Society for Medical Oncology (ESMO) held a virtual consensus-building process on epidermal growth factor receptor (EGFR)-mutant non-small-cell lung cancer in 2021. The consensus included a multidisciplinary panel of 34 leading experts in the management of lung cancer. The aim of the consensus was to develop recommendations on topics that are not covered in detail in the current ESMO Clinical Practice Guideline and where the available evidence is either limited or conflicting. The main topics identified for discussion were: (i) tissue and biomarkers analyses; (ii) early and locally advanced disease; (iii) metastatic disease and (iv) clinical trial design, patient's perspective and miscellaneous. The expert panel was divided into four working groups to address questions relating to one of the four topics outlined above. Relevant scientific literature was reviewed in advance. Recommendations were developed by the working groups and then presented to the entire panel for further discussion and amendment before voting. This manuscript presents the recommendations developed, including findings from the expert panel discussions, consensus recommendations and a summary of evidence supporting each recommendation.
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Affiliation(s)
- A Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy.
| | - N Leighl
- Division of Medical Oncology/Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Canada
| | - F Blackhall
- Division of Cancer Sciences, The University of Manchester, Manchester, UK; Department of Medical Oncology, The Christie National Health Service (NHS) Foundation Trust, Manchester, UK
| | - S Popat
- National Heart and Lung Institute, Imperial College, London, UK; Lung Unit, Royal Marsden Hospital, London, UK; The Institute of Cancer Research, London, UK
| | - K Kerr
- Aberdeen Royal Infirmary, Aberdeen University Medical School, Aberdeen, UK
| | - M J Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - M E Arcila
- Department of Pathology, Molecular Diagnostics Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | - O Arrieta
- Thoracic Oncology Unit, Instituto Nacional de Cancerología, Mexico City, Mexico
| | - D Planchard
- Department of Medical Oncology, Gustave Roussy, Villejuif, France
| | - F de Marinis
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - A M Dingemans
- Department of Respiratory Medicine, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - R Dziadziuszko
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdansk, Poland
| | - C Faivre-Finn
- The University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - J Feldman
- Lung Cancer Patient and Advocate, Co-Founder of EGFR Resisters Patient Group
| | - E Felip
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - G Curigliano
- Department of Oncology and Hemato-Oncology, University of Milano, European Institute of Oncology IRCCS, Milan, Italy
| | - R Herbst
- Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, USA
| | - P A Jänne
- Lowe Center for Thoracic Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - T John
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - T Mitsudomi
- Division of Thoracic Surgery, Department of Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
| | - T Mok
- State Key Laboratory of Translational Oncology, Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong, China
| | - N Normanno
- Cell Biology and Biotherapy and Scientific Directorate, Istituto Nazionale Tumori, "Fondazione G.Pascale" IRCCS, Naples, Italy
| | - L Paz-Ares
- Lung Cancer Clinical Research Unit, and Complutense University, Madrid, Spain
| | - S Ramalingam
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Atlanta, Georgia
| | - L Sequist
- Department of Medicine, Massachusetts General Hospital, Boston, USA
| | - J Vansteenkiste
- Department of Respiratory Oncology, University Hospital KU Leuven, Leuven, Belgium
| | - I I Wistuba
- Department of Translational Molecular Pathology, Unit 951, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - J Wolf
- Lung Cancer Group Cologne, Department I for Internal Medicine and Center for Integrated Oncology Cologne/Bonn, University Hospital Cologne, Cologne, Germany
| | - Y L Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangdong, China
| | - S R Yang
- The Institute of Cancer Research, London, UK
| | - J C H Yang
- Department of Oncology, National Taiwan University Hospital and National Taiwan University Cancer Center, Taipei, Republic of China
| | - Y Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - G Pentheroudakis
- Department of Medical Oncology, University of Ioannina, Ioannina, Epirus, Greece
| | - S Peters
- Oncology Department - CHUV, Lausanne University, Lausanne, Switzerland
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