Assessment of response to liver directed radiation-based therapies: Current guidelines, challenges, and future directions

被引:0
作者
Banda, Anisha [1 ]
Johnson, Guy [1 ]
Cunha, Guilherme Moura [2 ]
机构
[1] Univ Washington, Sect Intervent Radiol, Dept Radiol, Seattle, WA 98195 USA
[2] Univ Washington, Abdominal Imaging Sect, Dept Radiol, Seattle, WA USA
关键词
Hepatocellular carcinoma; LI-RADS; mRECIST; Radioembolization; Y-90; Radiation; HEPATOCELLULAR-CARCINOMA RESPONSE; CONTRAST-ENHANCED ULTRASOUND; PORTAL-VEIN THROMBOSIS; Y-90; RADIOEMBOLIZATION; TUMOR RESPONSE; TRANSARTERIAL CHEMOEMBOLIZATION; RADIOTHERAPY; CRITERIA; MRECIST; RECIST;
D O I
10.20517/2394-5079.2022.60
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Radiation-based local-regional therapies for hepatocellular carcinoma (HCC) have gained wide acceptance due to promising rates of tumor response, survival, and safety profiles. After treatment, it is important to assess tumor response to determine further management, patient prognosis, and endpoint outcomes for clinical trials. To standardize imaging interpretation and reporting of HCC response to local-regional treatment, a few imaging-based response assessment systems were developed. Two of them have emerged as the most used: the Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (LR-TRA) and the modified Response Evaluation Criteria in Solid Tumors (mRECIST). While these systems have been validated for the assessment of response to ablative locoregional therapies, assessment of response to radiation-based therapies can be challenged by persistent or evolving imaging features and is still an area of active research. Following the advances in technology and a better understanding of tumor biology that allowed for the increased application of radiation-based local-regional therapies for the treatment of HCC, research is still needed to address the limitations of current imaging criteria for assessing tumor response to these novel techniques. In this review, we describe radiation-based liver-directed treatment options, examine imaging criteria for assessing treatment response, discuss practical limitations and gaps in knowledge when applying these response criteria, and address future directions that may help to improve accuracy and outcomes when assessing response to radiation-based HCC treatment.
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页数:14
相关论文
共 60 条
[1]   Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning -An Artificial Intelligence Concept [J].
Abajian, Aaron ;
Murali, Nikitha ;
Savic, Lynn Jeanette ;
Laage-Gaupp, Fabian Max ;
Nezami, Nariman ;
Duncan, James S. ;
Schlachter, Todd ;
Lin, MingDe ;
Geschwind, Jean-Francois ;
Chapiro, Julius .
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2018, 29 (06) :850-857
[2]   90Y Radioembolization for Locally Advanced Hepatocellular Carcinoma with Portal Vein Thrombosis: Long-Term Outcomes in a 185-Patient Cohort [J].
Abouchaleh, Nadine ;
Gabr, Ahmed ;
Ali, Rehan ;
Al Asadi, Ali ;
Mora, Ronald A. ;
Kallini, Joseph Ralph ;
Mouli, Samdeep ;
Riaz, Ahsun ;
Lewandowski, Robert J. ;
Salem, Riad .
JOURNAL OF NUCLEAR MEDICINE, 2018, 59 (07) :1042-1048
[3]   Treatment response after radioembolisation in patients with hepatocellular carcinoma-An evaluation with dual energy computed-tomography [J].
Altenbernd, Jens ;
Wetter, Axel ;
Forsting, Michael ;
Umutlu, Lale .
EUROPEAN JOURNAL OF RADIOLOGY OPEN, 2016, 3 :230-235
[4]   Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions [J].
Aslam, Anum ;
Do, Richard Kinh Gian ;
Kambadakone, Avinash ;
Spieler, Bradley ;
Miller, Frank H. ;
Gabr, Ahmed M. ;
Charalel, Resmi A. ;
Kim, Charles Y. ;
Madoff, David C. ;
Mendiratta-Lala, Mishal .
WORLD JOURNAL OF HEPATOLOGY, 2020, 12 (10) :738-753
[5]  
Balogh J, 2016, J HEPATOCELL CARCINO, V3, P41, DOI [10.15586/jrenhep.v4i2.84, 10.2147/JHC.S61146]
[6]  
Boston Scientific Clinical Trials, Bridging and downstaging to surgery hepatology: liver transplantation following Y-90 for HCC
[7]   The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma [J].
Chaudhry, Mohammad ;
McGinty, Katrina A. ;
Mervak, Benjamin ;
Lerebours, Reginald ;
Li, Cai ;
Shropshire, Erin ;
Ronald, James ;
Commander, Leah ;
Hertel, Johann ;
Luo, Sheng ;
Bashir, Mustafa R. ;
Burke, Lauren M. B. .
RADIOLOGY, 2020, 294 (02) :320-326
[8]   Role of External Beam Radiotherapy in Hepatocellular Carcinoma [J].
Chen, Chien Peter .
CLINICS IN LIVER DISEASE, 2020, 24 (04) :701-717
[9]   Computed tomography perfusion in evaluating the therapeutic effect of transarterial chemoembolization for hepatocellular carcinoma [J].
Chen, Guang ;
Ma, Da-Qing ;
He, Wen ;
Zhang, Bao-Feng ;
Zhao, Li-Qin .
WORLD JOURNAL OF GASTROENTEROLOGY, 2008, 14 (37) :5738-5743
[10]   PREDICTING LONG-TERM HEPATOCELLULAR CARCINOMA RESPONSE TO TRANSARTERIAL RADIOEMBOLIZATION USING CONTRAST-ENHANCED ULTRASOUND: INITIAL EXPERIENCES [J].
Delaney, Lauren J. ;
Tantawi, Mohamed ;
Wessner, Corinne E. ;
Machado, Priscilla ;
Forsberg, Flemming ;
Lyshchik, Andrej ;
O'Kane, Patrick ;
Liu, Ji-Bin ;
Civan, Jesse ;
Tan, Allison ;
Anton, Kevin ;
Shaw, Collette M. ;
Eisenbrey, John R. .
ULTRASOUND IN MEDICINE AND BIOLOGY, 2021, 47 (09) :2523-2531