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An J, Park R, Kim E, Na SK, Kim HI, Song IH, Cho YS, Kang JH, Lee HC, Han S, Nault JC, Choi SH, Shim JH. LI-RADS for Diagnosing Hepatocellular Carcinoma in Patients with Noncirrhotic Chronic Hepatitis C. Radiology 2025; 314:e241856. [PMID: 40131114 DOI: 10.1148/radiol.241856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2025]
Abstract
Background The Liver Imaging Reporting and Data System (LI-RADS) criteria have not been validated for patients with noncirrhotic chronic hepatitis C (CHC), who are at a greater risk for hepatocellular carcinoma (HCC) than the general population. Purpose To evaluate the diagnostic performance of LI-RADS category 5 (LR-5, indicating definite HCC) observations for HCC using CT and MRI in patients with noncirrhotic CHC and to compare these findings with those in patients with cirrhotic CHC. Materials and Methods This retrospective study included patients without cirrhosis with CHC with focal hepatic nodules of 1 cm or greater on dynamic CT or MRI scans who underwent pathologic confirmation at two university hospitals from August 2002 to February 2022. This group served as the test dataset. The primary outcome was the diagnostic performance of LR-5 for HCC using CT and MRI. When LI-RADS categorization differed between CT and MRI, the MRI-based classification was used as the definitive category. Results were validated using a dataset of patients with CHC from two additional hospitals based on the clinical composite reference standard. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated. Results The test dataset comprised 458 patients (mean age, 64 years ± 9 [SD]; 350 male; 219 without cirrhosis, 239 with cirrhosis). For noncirrhotic livers, the LR-5 criteria achieved an AUC, accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 0.90 (95% CI: 0.86, 0.93), 85.1% (95% CI: 80.6, 89.7), 82.4% (95% CI: 77.0, 87.8), 97.6% (95% CI: 93.0, 100.0), 99.4% (95% CI: 98.2, 100.0), and 54.7% (95% CI: 43.4, 65.9), respectively. The AUC for LR-5 observations in diagnosing HCC was higher in the noncirrhotic liver group compared with the cirrhotic liver group (AUC, 0.90 [95% CI: 0.86, 0.93] vs 0.79 [95% CI: 0.74, 0.84]; P = .002). The diagnostic performance of the LR-5 criteria for diagnosing HCC was also excellent in patients with noncirrhotic CHC in the validation dataset, which included 155 lesions from 103 patients (mean age, 68 years ± 12; 146 male). The AUC, accuracy, sensitivity, specificity, PPV, and NPV in the validation dataset were 0.91 (95% CI: 0.84, 0.97), 96.1% (95% CI: 93.1, 99.2), 82.9% (95% CI: 70.4, 95.3), 100%, 100%, and 95.2% (95% CI: 91.5, 99.0), respectively. Conclusion The diagnostic performance of LR-5 for HCC in patients with noncirrhotic CHC was comparable to that in patients with cirrhosis across various clinical settings. © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Schöllnast in this issue.
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Affiliation(s)
- Jihyun An
- Department of Gastroenterology and Hepatology, Hanyang University College of Medicine, Guri, Republic of Korea
| | - Rohee Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Euichang Kim
- Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
| | - Seong Kyun Na
- Department of Internal Medicine, Jeju National University School of Medicine, Jeju, Republic of Korea
- Department of Gastroenterology, Inje University Sanggye Paik Hospital, Seoul, Republic of Korea
| | - Ha Il Kim
- Department of Gastroenterology and Hepatology, Hanyang University College of Medicine, Guri, Republic of Korea
| | - In-Hye Song
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Seo Cho
- Department of Radiology, Hanyang University College of Medicine, Guri, Republic of Korea
| | - Ji Hun Kang
- Department of Radiology, Hanyang University College of Medicine, Guri, Republic of Korea
| | - Han Chu Lee
- Department of Gastroenterology and Hepatology, Hanyang University College of Medicine, Guri, Republic of Korea
- Asan Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seungbong Han
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jean-Charles Nault
- Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, team Functional Genomics of Solid Tumors, Equipe labellisée Ligue Nationale Contre le Cancer, Labex OncoImmunology, Paris, France
- Service d'hépatologie, Hôpital Avicenne, Hôpitaux Universitaires Paris-Seine-Saint-Denis, Assistance-Publique Hôpitaux de Paris, Bobigny, France
- Unité de Formation et de Recherche Santé Médecine et Biologie Humaine, Université Paris nord, Bobigny, France
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
- Asan Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ju Hyun Shim
- Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
- Asan Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Sangro B, Argemi J, Ronot M, Paradis V, Meyer T, Mazzaferro V, Jepsen P, Golfieri R, Galle P, Dawson L, Reig M. EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma. J Hepatol 2025; 82:315-374. [PMID: 39690085 DOI: 10.1016/j.jhep.2024.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 12/19/2024]
Abstract
Liver cancer is the third leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) accounting for approximately 90% of primary liver cancers. Advances in diagnostic and therapeutic tools, along with improved understanding of their application, are transforming patient treatment. Integrating these innovations into clinical practice presents challenges and necessitates guidance. These clinical practice guidelines offer updated advice for managing patients with HCC and provide a comprehensive review of pertinent data. Key updates from the 2018 EASL guidelines include personalised surveillance based on individual risk assessment and the use of new tools, standardisation of liver imaging procedures and diagnostic criteria, use of minimally invasive surgery in complex cases together with updates on the integrated role of liver transplantation, transitions between surgical, locoregional, and systemic therapies, the role of radiation therapies, and the use of combination immunotherapies at various stages of disease. Above all, there is an absolute need for a multiparametric assessment of individual risks and benefits, considering the patient's perspective, by a multidisciplinary team encompassing various specialties.
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Adamo RG, Lam E, Salameh JP, van der Pol CB, Goins SM, Dawit H, Costa AF, Levis B, Singal AG, Chernyak V, Sirlin CB, Bashir MR, Tang A, Alhasan A, Allen BC, Reiner CS, Clarke C, Ludwig DR, Cerny M, Wang J, Hyun Choi S, Fraum TJ, Song B, Joo I, Yeon Kim S, Kwon H, Jiang H, Kang HJ, Kierans AS, Kim YY, Ronot M, Podgórska J, Rosiak G, Soo Song J, McInnes MDF. Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis. Can Assoc Radiol J 2024:8465371241306297. [PMID: 39733353 DOI: 10.1177/08465371241306297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2024] Open
Abstract
Background: Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. Purpose: To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC. Methods: Databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched from 2014 to 2022. Individual participant data (IPD) were extracted from studies evaluating HCC diagnosis using CT/MRI LI-RADS and reporting HCC risk factors. IPD from studies were pooled and modelled with one-stage meta-regressions. Interactions were assessed between major features and HCC risk factors, including age, sex, cirrhosis, chronic hepatitis B virus (HBV), and study location. A mixed effects model that included the major features, as well as separate models that included interactions between each risk factor and each major feature, were fit. Differences in interactions across levels of each risk factor were calculated using adjusted odds-ratios (ORs), 95% confidence-intervals (CI), and z-tests. Risk of bias was assessed using QUADAS-2. (Protocol: https://osf.io/tdv7j/). Results: Across 23 studies (2958 patients and 3553 observations), the associations between LI-RADS major features and HCC were consistent across several HCC risk factors (P-value range: .09-.99). A sensitivity analysis among the 4 studies with a low risk of bias did not differ from the primary analysis. Conclusion: The association between CT/MRI LI-RADS major features and HCC risk factors do not significantly differ in individuals at-risk for HCC. These findings suggest that CT/MR LI-RADS should be applied to all patients considered at risk by LI-RADS without modification or exclusions, regardless of the presence or absence of the risk factors evaluated in this study.
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Affiliation(s)
- Robert G Adamo
- Faculty of Medicine at The University of Ottawa, Ottawa, ON, Canada
| | - Eric Lam
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | | | - Christian B van der Pol
- Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Haben Dawit
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Andreu F Costa
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada
| | - Brooke Levis
- Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Victoria Chernyak
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, UC San Diego, La Jolla, CA, USA
| | - Mustafa R Bashir
- Departments of Radiology and Medicine, Duke University Medical Center, Durham, NC, USA
- Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, USA
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
| | - An Tang
- Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Ayman Alhasan
- Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia
- Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia
| | - Brian C Allen
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Caecilia S Reiner
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Christopher Clarke
- Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Daniel R Ludwig
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Milena Cerny
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Tyler J Fraum
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ijin Joo
- Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea
| | - So Yeon Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Heejin Kwon
- Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seogu, Busan, South Korea
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hyo-Jin Kang
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | | | - Yeun-Yoon Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Maxime Ronot
- Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy & Université Paris Cité, CRI UMR 1149, Paris, France
| | - Joanna Podgórska
- 2nd Radiology Department, Warsaw Medical University, Warsaw, Poland
| | - Grzegorz Rosiak
- 2nd Radiology Department, Warsaw Medical University, Warsaw, Poland
| | - Ji Soo Song
- Department of Radiology, Jeonbuk National University Medical School and Hospital, Jeonju, Jeonbuk, South Korea
| | - Matthew D F McInnes
- Rm c-159 Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, ON, Canada
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Chen KL, Qiu YW, Yang M, Wang T, Yang Y, Qiu HZ, Sun T, Wang WT. Prognostic value of preoperative systemic immune-inflammation index/albumin for patients with hepatocellular carcinoma undergoing curative resection. World J Gastroenterol 2024; 30:5130-5151. [PMID: 39735268 PMCID: PMC11612693 DOI: 10.3748/wjg.v30.i48.5130] [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: 06/20/2024] [Revised: 09/20/2024] [Accepted: 10/08/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is a major factor for cancer-associated mortality globally. Although the systemic immune-inflammation index (SII) and albumin (ALB) show individual prognostic value for various cancers, their combined significance (SII/ALB) in HCC patients undergoing curative hepatectomy is still unknown. It is hypothesized that a higher SII/ALB ratio correlates with poorer outcomes with regard to overall survival (OS) and recurrence-free survival (RFS). AIM To investigate the effect of preoperative SII/ALB in predicting the prognosis of HCC patients undergoing hepatectomy. METHODS Patients who received curative surgery for HCC at a single institution between 2014 and 2019 were retrospectively analyzed. Cox proportional hazards models and Kaplan-Meier curves were utilized to estimate OS and RFS. A nomogram was created using prognostic factors determined by the least absolute shrinkage and selection operator method and analyzed using multivariate Cox regression. This nomogram was assessed internally through the calibration plots, receiver operating characteristic (ROC) analysis, decision curve analysis (DCA) and the concordance index (C-index). RESULTS This study enrolled 1653 HCC patients. Multivariate analyses demonstrated that SII/ALB independently predicted OS [hazard ratio (HR) = 1.22, 95%CI: 1.03-1.46, P = 0.025] and RFS (HR = 1.19, 95%CI: 1.03-1.38, P = 0.022). Age, alpha-fetoprotein, hepatitis B surface antigen, albumin-bilirubin grade, tumor diameter, portal vein tumor thrombus, tumor number, and SII/ALB were incorporated into the nomogram to predict OS. The nomogram had a C-index of 0.73 (95%CI: 0.71-0.76) and 0.71 (95%CI: 0.67-0.74) for the training and validation cohorts, respectively. The area under the ROC curve, DCA and calibration curves demonstrated high accuracy and clinical benefits. CONCLUSION The SII/ALB may independently predict outcomes in HCC patients who receive curative surgical treatment. In addition, the nomogram can be used in HCC treatment decision-making.
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Affiliation(s)
- Kun-Lin Chen
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Yi-Wen Qiu
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Ming Yang
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Tao Wang
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Yi Yang
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Hai-Zhou Qiu
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Ting Sun
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Wen-Tao Wang
- Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
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Vengateswaran HT, Habeeb M, You HW, Aher KB, Bhavar GB, Asane GS. Hepatocellular carcinoma imaging: Exploring traditional techniques and emerging innovations for early intervention. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2024; 24:100327. [DOI: 10.1016/j.medntd.2024.100327] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2024] Open
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Zhou J, Zhang Y, Zhang J, Chen J, Jiang H, Zhang L, Zhong X, Zhang T, Chen L, Wang Y, Xu Y, Wang J. New strategy of LI-RADS v2018 to improve the sensitivity for small hepatocellular carcinoma ≤ 3.0 cm on extracellular-contrast enhanced MRI. Eur J Radiol 2024; 181:111830. [PMID: 39547000 DOI: 10.1016/j.ejrad.2024.111830] [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: 08/22/2024] [Revised: 10/15/2024] [Accepted: 11/07/2024] [Indexed: 11/17/2024]
Abstract
INTRODUCTION We aimed to modify LI-RADS version 2018 to improve sensitivity and determine the value of the combination of high alpha-fetoprotein (AFP) levels for small HCC (sHCC, ≤ 30 mm) diagnosis. METHODS A total of 984 patients at high risk for HCC, with 1204 observations (including 997 small observations ≤ 30 mm), who underwent extracellular contrast-enhanced MRI were enrolled from five independent centers. Blinded readers evaluated the LI-RADS features and categorized each observation according to the LI-RADS v2018, modified LI-RADS and EASL. Odds ratios of LI-RADS major features (MFs) and several high AFP levels for sHCC diagnosis were analyzed using multivariable logistic regression. The modified LR-5 criteria was developed by including no APHE at any size with two MFs, and non-rim APHE with one MF (≥ 10 mm) or with two MFs (< 10 mm). The diagnostic performance of each version of the LR-5 was compared using generalized estimating equations. RESULTS APHE, washout, enhancing capsule and five high AFP levels were independently associated with sHCC. In three datasets, the modified LI-RADS had higher sensitivities for sHCC (76.8 ∼ 85.5 % vs. 73.7 ∼ 75.9 %, P < 0.05) to the LR-5 v2018. The modified LI-RADS with AFP ≥ 200 ng/mL as an additional feature or as an alternative to threshold growth provided higher sensitivities for sHCC than LI-RADS v2018 (82.1 ∼ 90.1 % vs. 73.7 ∼ 75.9 %, all P < 0.05), modified LI-RADS (82.1 ∼ 90.1 % vs. 76.8 ∼ 85.5 %, all P < 0.05) and EASL version 2018 (82.1 ∼ 90.1 % vs. 73.3 ∼ 74.7 %, all P < 0.05), with comparable specificities (all P > 0.05). CONCLUSION The new strategy of LI-RADS v2018 provides significantly higher sensitivity and comparable specificity than those of LI-RADS v2018 for sHCC diagnosis on ECA-MRI.
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Affiliation(s)
- Jinhui Zhou
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No 600, Tianhe Road, Guangzhou, Guangdong 510630, China
| | - Yao Zhang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Lujiang Road 17, Hefei 230001, China
| | - Jing Zhang
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Jingbiao Chen
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No 600, Tianhe Road, Guangzhou, Guangdong 510630, China
| | - Hang Jiang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No 600, Tianhe Road, Guangzhou, Guangdong 510630, China
| | - Linqi Zhang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No 600, Tianhe Road, Guangzhou, Guangdong 510630, China
| | - Xi Zhong
- Department of Radiology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, 78 Hengzhigang Rd, Guangzhou, Guangdong 510095, China
| | - Tianhui Zhang
- Department of Radiology, Meizhou People's Hospital, Meizhou, Guangdong 514031, China
| | - Lichun Chen
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University Yuedong Hospital, Meizhou, Guangdong 514733, China
| | - Yufeng Wang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University Yuedong Hospital, Meizhou, Guangdong 514733, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, No 600, Tianhe Road, Guangzhou, Guangdong 510630, China; Organ Transplantation Institute, Sun Yat-sen University; Organ Transplantation Research Center of Guangdong Province, Guangdong Province Engineering Laboratory for Transplantation Medicine, Guangzhou 510630, China; Guangdong Key Laboratory of Liver Disease Research, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
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Oerbekke MS, de Man RA, van Vilsteren FGI, Nijkamp MW, Tjwa E, Gaasterland CMW, van der Laan MJ, Hooft L. Exploring transparent reporting and data availability in systematic reviews to identify subgroup evidence: imaging for suspected hepatocellular carcinoma in the non-cirrhotic liver. Orphanet J Rare Dis 2024; 19:364. [PMID: 39358755 PMCID: PMC11448413 DOI: 10.1186/s13023-024-03356-x] [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: 12/06/2023] [Accepted: 09/11/2024] [Indexed: 10/04/2024] Open
Abstract
We aim to illustrate the role of complete and transparent reporting coupled with access to data sourced from published systematic reviews, especially assisting in the identification of evidence for subgroups within the context of a rare disease. To accomplish this principle, we provide a real-world example encountered during the revision of the Dutch clinical practice guideline for hepatocellular carcinoma. Specifically, we retrieved insights from two Cochrane reviews to identify direct evidence concerning the diagnostic test accuracy of computed tomography and magnetic resonance imaging for detecting hepatocellular carcinomas in suspected patients without liver cirrhosis. Through reusing the Cochrane review authors' efforts already undertaken in their exhaustive literature search and selection, we successfully identified relevant direct evidence for this subgroup of suspected patients without cirrhosis and performed an evidence synthesis within the constraints of limited resources for the guideline revision. This approach holds the potential for replication in other subgroups in the context of rare diseases, contingent on the transparent and complete reporting of systematic reviews, as well as the availability and accessibility of their extracted data. Consequently, we underscore the importance of adhering to established reporting guidelines for systematic reviews, while simultaneously advocating for increased availability and accessibility to data. Such practices would not only increase the transparency and reproducibility of systematic reviews but could also increase reusability of their data. In turn, the increased reusability could result in reduced resource utilization in other sectors such as the guideline developing community as we show in our example.
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Affiliation(s)
- Michiel S Oerbekke
- Knowlegde Institute of the Dutch Association of Medical Specialists, Utrecht, The Netherlands.
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Robert A de Man
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Frederike G I van Vilsteren
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, Groningen, The Netherlands
| | - Maarten W Nijkamp
- Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Eric Tjwa
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | | | | | - Lotty Hooft
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Kallenbach M, Qvartskhava N, Weigel C, Dörffel Y, Berger J, Kunze G, Luedde T. [Contrast-enhanced ultrasound (CEUS) for characterisation of focal liver lesions]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2024; 62:952-970. [PMID: 37798924 PMCID: PMC11211032 DOI: 10.1055/a-2145-7461] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/21/2023] [Indexed: 10/07/2023]
Abstract
Due to the trend towards increased use of imaging and rising awareness among high-risk patients, gastroenterologists and hepatologists are more frequently confronted with patients with focal liver lesions. In the differentiation of these lesions, CT and MRI have increasingly found their way into primary diagnostic steps in everyday clinical practice. Contrast-enhanced sonography, on the other hand, is a very effective and cost-efficient method for assessing focal liver lesions. The success of the method is not only based on the visualisation of microvascularisation in real time. If sonography is performed by the treating physician, he can use the exact knowledge of history and clinical findings to specifically adapt the examination procedure and to interpret the sonographic findings with greater accuracy ("clinical sonography"). At the same time, the method enables the practitioner to combine diagnostics and management decisions in his or her own hands. To achieve excellent results with contrast-enhanced sonography-as with any other imaging method-it is necessary that the examiner is sufficiently qualified.This article systematically presents the sonographic characteristics of the most common liver lesions and clearly shows their contrast patterns using videos (available via QR code). The article illustrates that CEUS could-and from the authors' point of view, should-have an even greater significance in the future.
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Affiliation(s)
- Michael Kallenbach
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Natalia Qvartskhava
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Christian Weigel
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Yvonne Dörffel
- Medical Outpatient Department, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Berger
- Ernst von Bergmann Klinikum, Department of Gastroenterology, Hepatology, Infectious Diseases and Rheumatology, Potsdam, Germany
| | - Georg Kunze
- Schwarzwald-Baar Klinikum Villingen-Schwenningen GmbH, Villingen-Schwenningen, Germany
| | - Tom Luedde
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
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Hoffmann E, Masthoff M, Kunz WG, Seidensticker M, Bobe S, Gerwing M, Berdel WE, Schliemann C, Faber C, Wildgruber M. Multiparametric MRI for characterization of the tumour microenvironment. Nat Rev Clin Oncol 2024; 21:428-448. [PMID: 38641651 DOI: 10.1038/s41571-024-00891-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 04/21/2024]
Abstract
Our understanding of tumour biology has evolved over the past decades and cancer is now viewed as a complex ecosystem with interactions between various cellular and non-cellular components within the tumour microenvironment (TME) at multiple scales. However, morphological imaging remains the mainstay of tumour staging and assessment of response to therapy, and the characterization of the TME with non-invasive imaging has not yet entered routine clinical practice. By combining multiple MRI sequences, each providing different but complementary information about the TME, multiparametric MRI (mpMRI) enables non-invasive assessment of molecular and cellular features within the TME, including their spatial and temporal heterogeneity. With an increasing number of advanced MRI techniques bridging the gap between preclinical and clinical applications, mpMRI could ultimately guide the selection of treatment approaches, precisely tailored to each individual patient, tumour and therapeutic modality. In this Review, we describe the evolving role of mpMRI in the non-invasive characterization of the TME, outline its applications for cancer detection, staging and assessment of response to therapy, and discuss considerations and challenges for its use in future medical applications, including personalized integrated diagnostics.
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Affiliation(s)
- Emily Hoffmann
- Clinic of Radiology, University of Münster, Münster, Germany
| | - Max Masthoff
- Clinic of Radiology, University of Münster, Münster, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Max Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Bobe
- Gerhard Domagk Institute of Pathology, University Hospital Münster, Münster, Germany
| | - Mirjam Gerwing
- Clinic of Radiology, University of Münster, Münster, Germany
| | | | | | - Cornelius Faber
- Clinic of Radiology, University of Münster, Münster, Germany
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
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10
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Johnson PJ, Kalyuzhnyy A, Boswell E, Toyoda H. Progression of chronic liver disease to hepatocellular carcinoma: implications for surveillance and management. BJC REPORTS 2024; 2:39. [PMID: 39516538 PMCID: PMC11523965 DOI: 10.1038/s44276-024-00050-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/11/2024] [Accepted: 02/18/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND Current opinion holds that hepatocellular carcinoma (HCC) arises as a stepwise progression from chronic liver disease (CLD) to cirrhosis and then to HCC. However, some HCCs may develop in a non-cirrhotic liver, raising uncertainty about their origin. METHODS We analysed a prospectively accrued cohort of 2592 CLD patients (median follow-up = 13 years) with no prior evidence of liver cirrhosis. To track the progression of liver fibrosis prior to HCC diagnosis, we examined serial measurements of Fib-4 (an index of liver fibrosis). We also evaluated fibrosis progression in response to antiviral treatment in patients with hepatitis C (HCV) and hepatitis B (HBV). Recognising the limitations of serologic fibrosis assessment, we correlated Fib-4 and fibrosis histology within this cohort. RESULTS Among HCC patients, 28% had no indication of cirrhosis prior to HCC diagnosis. Only 31% of HBV-related HCC cases followed the cirrhotic pathway. HCV patients who achieved sustained virological response (SVR) developed cirrhosis approximately 7 years before HCC diagnosis. CONCLUSIONS Our analysis challenges the notion of cirrhosis as an obligatory stage of HCC development in CLD patients. We affirm HBV's direct oncogenic potential and find that achieving SVR does not universally prevent HCC development. Our findings have major implications for HCC surveillance.
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Affiliation(s)
- Philip J Johnson
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK.
| | - Anton Kalyuzhnyy
- Computational Biology Facility, University of Liverpool, Liverpool, UK
| | - Ellen Boswell
- Computational Biology Facility, University of Liverpool, Liverpool, UK
| | - Hidenori Toyoda
- Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Japan
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11
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Lee S, Kim YY, Shin J, Roh YH, Choi JY, Chernyak V, Sirlin CB. Liver Imaging Reporting and Data System version 2018 category 5 for diagnosing hepatocellular carcinoma: an updated meta-analysis. Eur Radiol 2024; 34:1502-1514. [PMID: 37656177 DOI: 10.1007/s00330-023-10134-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 05/24/2023] [Accepted: 07/07/2023] [Indexed: 09/02/2023]
Abstract
OBJECTIVE We performed an updated meta-analysis to determine the diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS, LR) 5 category for hepatocellular carcinoma (HCC) using LI-RADS version 2018 (v2018), and to evaluate differences by imaging modalities and type of MRI contrast material. METHODS The MEDLINE and Embase databases were searched for studies reporting the performance of LR-5 using v2018 for diagnosing HCC. A bivariate random-effects model was used to calculate the pooled per-observation sensitivity and specificity. Subgroup analysis was performed based on imaging modalities and type of MRI contrast material. RESULTS Forty-eight studies qualified for the meta-analysis, comprising 9031 patients, 10,547 observations, and 7216 HCCs. The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC were 66% (95% CI, 61-70%) and 91% (95% CI, 89-93%), respectively. In the subgroup analysis, MRI with extracellular agent (ECA-MRI) showed significantly higher pooled sensitivity (77% [95% CI, 70-82%]) than CT (66% [95% CI, 58-73%]; p = 0.023) or MRI with gadoxetate (Gx-MRI) (65% [95% CI, 60-70%]; p = 0.001), but there was no significant difference between ECA-MRI and MRI with gadobenate (gadobenate-MRI) (73% [95% CI, 61-82%]; p = 0.495). Pooled specificities were 88% (95% CI, 80-93%) for CT, 92% (95% CI, 86-95%) for ECA-MRI, 93% (95% CI, 91-95%) for Gx-MRI, and 91% (95% CI, 84-95%) for gadobenate-MRI without significant differences (p = 0.084-0.803). CONCLUSIONS LI-RADS v2018 LR-5 provides high specificity for HCC diagnosis regardless of modality or contrast material, while ECA-MRI showed higher sensitivity than CT or Gx-MRI. CLINICAL RELEVANCE STATEMENT Refinement of the criteria for improving sensitivity while maintaining high specificity of LR-5 for HCC diagnosis may be an essential future direction. KEY POINTS • The pooled per-observation sensitivity and specificity of LR-5 for diagnosing HCC using LI-RADSv2018 were 66% and 91%, respectively. • ECA-MRI showed higher sensitivity than CT (77% vs 66%, p = 0.023) or Gx-MRI (77% vs 65%, p = 0.001). • LI-RADS v2018 LR-5 provides high specificity (88-93%) for HCC diagnosis regardless of modality or contrast material type.
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Affiliation(s)
- Sunyoung Lee
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Yeun-Yoon Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaeseung Shin
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yun Ho Roh
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin-Young Choi
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Victoria Chernyak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, USA
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12
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Martínez-Blanco P, Suárez M, Gil-Rojas S, Torres AM, Martínez-García N, Blasco P, Torralba M, Mateo J. Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence. Diagnostics (Basel) 2024; 14:406. [PMID: 38396445 PMCID: PMC10888215 DOI: 10.3390/diagnostics14040406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 01/24/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) accounts for 75% of primary liver tumors. Controlling risk factors associated with its development and implementing screenings in risk populations does not seem sufficient to improve the prognosis of these patients at diagnosis. The development of a predictive prognostic model for mortality at the diagnosis of HCC is proposed. METHODS In this retrospective multicenter study, the analysis of data from 191 HCC patients was conducted using machine learning (ML) techniques to analyze the prognostic factors of mortality that are significant at the time of diagnosis. Clinical and analytical data of interest in patients with HCC were gathered. RESULTS Meeting Milan criteria, Barcelona Clinic Liver Cancer (BCLC) classification and albumin levels were the variables with the greatest impact on the prognosis of HCC patients. The ML algorithm that achieved the best results was random forest (RF). CONCLUSIONS The development of a predictive prognostic model at the diagnosis is a valuable tool for patients with HCC and for application in clinical practice. RF is useful and reliable in the analysis of prognostic factors in the diagnosis of HCC. The search for new prognostic factors is still necessary in patients with HCC.
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Affiliation(s)
| | - Miguel Suárez
- Gastroenterology Department, Virgen de la Luz Hospital, 16002 Cuenca, Spain
- Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071 Cuenca, Spain
- Medical Analysis Expert Group, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071 Toledo, Spain
| | - Sergio Gil-Rojas
- Gastroenterology Department, Virgen de la Luz Hospital, 16002 Cuenca, Spain
| | - Ana María Torres
- Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071 Cuenca, Spain
- Medical Analysis Expert Group, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071 Toledo, Spain
| | | | - Pilar Blasco
- Department of Pharmacy, General University Hospital, 46014 Valencia, Spain
| | - Miguel Torralba
- Internal Medicine Unit, Guadalajara University Hospital, 19002 Guadalajara, Spain (M.T.)
- Faculty of Medicine, Universidad de Alcalá de Henares, 28801 Alcalá de Henares, Spain
- Translational Research Group in Cellular Immunology (GITIC), Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071 Toledo, Spain
| | - Jorge Mateo
- Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, 16071 Cuenca, Spain
- Medical Analysis Expert Group, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 45071 Toledo, Spain
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13
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Singal AG, Llovet JM, Yarchoan M, Mehta N, Heimbach JK, Dawson LA, Jou JH, Kulik LM, Agopian VG, Marrero JA, Mendiratta-Lala M, Brown DB, Rilling WS, Goyal L, Wei AC, Taddei TH. AASLD Practice Guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma. Hepatology 2023; 78:1922-1965. [PMID: 37199193 PMCID: PMC10663390 DOI: 10.1097/hep.0000000000000466] [Citation(s) in RCA: 633] [Impact Index Per Article: 316.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 05/01/2023] [Indexed: 05/19/2023]
Affiliation(s)
- Amit G. Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Josep M. Llovet
- Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Mount Sinai School of Medicine, New York, New York, USA
- Translational Research in Hepatic Oncology, Liver Unit, August Pi i Sunyer Biomedical Research Institute, Hospital Clinic, University of Barcelona, Catalonia, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Catalonia, Spain
| | - Mark Yarchoan
- Department of Medical Oncology, Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
| | - Neil Mehta
- University of California, San Francisco, San Francisco, California, USA
| | | | - Laura A. Dawson
- Radiation Medicine Program/University Health Network, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Janice H. Jou
- Division of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
| | - Laura M. Kulik
- Northwestern Medical Faculty Foundation, Chicago, Illinois, USA
| | - Vatche G. Agopian
- The Dumont–University of California, Los Angeles, Transplant Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Jorge A. Marrero
- Division of Gastroenterology and Hepatology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mishal Mendiratta-Lala
- Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | - Daniel B. Brown
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William S. Rilling
- Division of Interventional Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Lipika Goyal
- Department of Medicine, Stanford School of Medicine, Palo Alto, California, USA
| | - Alice C. Wei
- Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Tamar H. Taddei
- Department of Medicine (Digestive Diseases), Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
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14
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Cannella R, Dioguardi Burgio M, Sartoris R, Gregory J, Vilgrain V, Ronot M. Adherence to LI-RADS and EASL high-risk population criteria: A systematic review. Hepatology 2023; 77:1958-1967. [PMID: 36811397 DOI: 10.1097/hep.0000000000000321] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/08/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND AND AIMS The Liver Imaging Reporting and Data System (LI-RADS) and European Association for the Study of the Liver (EASL) diagnostic criteria for noninvasive diagnosis of HCC can only be applied to patients at a high risk of HCC. This systematic review assesses adherence to the LI-RADS and EASL high-risk population criteria in published studies. APPROACH AND RESULTS PubMed was searched for original research, published between January 2012 and December 2021, reporting LI-RADS and EASL diagnostic criteria on contrast-enhanced ultrasound, CT, or MRI. The algorithm version, publication year, risk status, and etiologies of chronic liver disease were recorded for each study. Adherence to high-risk population criteria was evaluated as optimal (unequivocal adherence), suboptimal (equivocal), or inadequate (clear violation). A total of 219 original studies were included, with 215 that used the LI-RADS criteria, 4 EASL only, and 15 that evaluated both LI-RADS and EASL criteria. Optimal, suboptimal, or inadequate adherence to high-risk population criteria was observed in 111/215 (51.6%), 86/215 (40.0%), and 18/215 (8.4%) LI-RADS and 6/19 (31.6%), 5/19 (26.3%), and 8/19 (42.1%) EASL studies ( p < 0.001) regardless of the imaging modality. Adherence to high-risk population criteria significantly improved according to the CT/MRI LI-RADS versions (optimal in v2018 in 64.5% of studies; v2017, 45.8%; v2014, 24.4%; v2013.1, 33.3%; p < 0.001) and the publication year (2020-2021, 62.5%; 2018-2019, 33.9%; 2014-2017, 39.3% of all LI-RADS studies; p = 0.002). No significant differences in adherence to high-risk population criteria were observed in the versions of contrast-enhanced ultrasound LI-RADS ( p = 0.388) or EASL ( p = 0.293). CONCLUSION Adherence to high-risk population criteria was optimal or suboptimal in about 90% and 60% of LI-RADS and EASL studies, respectively.
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Affiliation(s)
- Roberto Cannella
- Section of Radiology, Department of Biomedicine, Neuroscience, and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", Via del Vespro, Palermo, Italy
- Department of Health Promotion, Mother and Child Care, Internal Medicine, and Medical Specialties, PROMISE, University of Palermo, Palermo, Italy
- Department of Radiology, Beaujon Hospital APHP.Nord, Clichy, France
| | | | | | - Jules Gregory
- Department of Radiology, Beaujon Hospital APHP.Nord, Clichy, France
- Université Paris Cité, CRI INSERM URM 1149, Paris, France
| | - Valérie Vilgrain
- Department of Radiology, Beaujon Hospital APHP.Nord, Clichy, France
- Université Paris Cité, CRI INSERM URM 1149, Paris, France
| | - Maxime Ronot
- Department of Radiology, Beaujon Hospital APHP.Nord, Clichy, France
- Université Paris Cité, CRI INSERM URM 1149, Paris, France
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15
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Ailioaie LM, Ailioaie C, Litscher G. Synergistic Nanomedicine: Photodynamic, Photothermal and Photoimmune Therapy in Hepatocellular Carcinoma: Fulfilling the Myth of Prometheus? Int J Mol Sci 2023; 24:8308. [PMID: 37176014 PMCID: PMC10179579 DOI: 10.3390/ijms24098308] [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: 03/31/2023] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, with high morbidity and mortality, which seriously threatens the health and life expectancy of patients. The traditional methods of treatment by surgical ablation, radiotherapy, chemotherapy, and more recently immunotherapy have not given the expected results in HCC. New integrative combined therapies, such as photothermal, photodynamic, photoimmune therapy (PTT, PDT, PIT), and smart multifunctional platforms loaded with nanodrugs were studied in this review as viable solutions in the synergistic nanomedicine of the future. The main aim was to reveal the latest findings and open additional avenues for accelerating the adoption of innovative approaches for the multi-target management of HCC. High-tech experimental medical applications in the molecular and cellular research of photosensitizers, novel light and laser energy delivery systems and the features of photomedicine integration via PDT, PTT and PIT in immuno-oncology, from bench to bedside, were introspected. Near-infrared PIT as a treatment of HCC has been developed over the past decade based on novel targeted molecules to selectively suppress cancer cells, overcome immune blocking barriers, initiate a cascade of helpful immune responses, and generate distant autoimmune responses that inhibit metastasis and recurrences, through high-tech and intelligent real-time monitoring. The process of putting into effect new targeted molecules and the intelligent, multifunctional solutions for therapy will bring patients new hope for a longer life or even a cure, and the fulfillment of the myth of Prometheus.
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Affiliation(s)
- Laura Marinela Ailioaie
- Department of Medical Physics, Alexandru Ioan Cuza University, 11 Carol I Boulevard, 700506 Iasi, Romania; (L.M.A.); (C.A.)
| | - Constantin Ailioaie
- Department of Medical Physics, Alexandru Ioan Cuza University, 11 Carol I Boulevard, 700506 Iasi, Romania; (L.M.A.); (C.A.)
| | - Gerhard Litscher
- President of the International Society for Medical Laser Applications (ISLA Transcontinental), German Vice President of the German-Chinese Research Foundation (DCFG) for TCM, Honorary President of the European Federation of Acupuncture and Moxibustion Societies, 8053 Graz, Austria
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16
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2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma. JOURNAL OF LIVER CANCER 2023; 23:1-120. [PMID: 37384024 PMCID: PMC10202234 DOI: 10.17998/jlc.2022.11.07] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 11/07/2022] [Indexed: 06/30/2023]
Abstract
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the fourth most common cancer among men in South Korea, where the prevalence of chronic hepatitis B infection is high in middle and old age. The current practice guidelines will provide useful and sensible advice for the clinical management of patients with HCC. A total of 49 experts in the fields of hepatology, oncology, surgery, radiology, and radiation oncology from the Korean Liver Cancer Association-National Cancer Center Korea Practice Guideline Revision Committee revised the 2018 Korean guidelines and developed new recommendations that integrate the most up-to-date research findings and expert opinions. These guidelines provide useful information and direction for all clinicians, trainees, and researchers in the diagnosis and treatment of HCC.
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Affiliation(s)
- Korean Liver Cancer Association (KLCA) and National Cancer Center (NCC) Korea
- Corresponding author: KLCA-NCC Korea Practice Guideline Revision Committee (KPGRC) (Committee Chair: Joong-Won Park) Center for Liver and Pancreatobiliary Cancer, Division of Gastroenterology, Department of Internal Medicine, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea Tel. +82-31-920-1605, Fax: +82-31-920-1520, E-mail:
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17
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2022 KLCA-NCC Korea Practice Guidelines for the Management of Hepatocellular Carcinoma. Korean J Radiol 2022; 23:1126-1240. [PMID: 36447411 PMCID: PMC9747269 DOI: 10.3348/kjr.2022.0822] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 10/28/2022] [Indexed: 11/18/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the fourth most common cancer among men in South Korea, where the prevalence of chronic hepatitis B infection is high in middle and old age. The current practice guidelines will provide useful and sensible advice for the clinical management of patients with HCC. A total of 49 experts in the fields of hepatology, oncology, surgery, radiology, and radiation oncology from the Korean Liver Cancer Association-National Cancer Center Korea Practice Guideline Revision Committee revised the 2018 Korean guidelines and developed new recommendations that integrate the most up-to-date research findings and expert opinions. These guidelines provide useful information and direction for all clinicians, trainees, and researchers in the diagnosis and treatment of HCC.
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18
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2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma. Clin Mol Hepatol 2022; 28:583-705. [PMID: 36263666 PMCID: PMC9597235 DOI: 10.3350/cmh.2022.0294] [Citation(s) in RCA: 174] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 09/23/2022] [Indexed: 01/27/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the fourth most common cancer among men in South Korea, where the prevalence of chronic hepatitis B infection is high in middle and old age. The current practice guidelines will provide useful and sensible advice for the clinical management of patients with HCC. A total of 49 experts in the fields of hepatology, oncology, surgery, radiology, and radiation oncology from the Korean Liver Cancer Association-National Cancer Center Korea Practice Guideline Revision Committee revised the 2018 Korean guidelines and developed new recommendations that integrate the most up-to-date research findings and expert opinions. These guidelines provide useful information and direction for all clinicians, trainees, and researchers in the diagnosis and treatment of HCC.
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