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Yin Y, de Haas RJ, Alves N, Pennings JP, Ruiter SJS, Kwee TC, Yakar D. Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT. Abdom Radiol (NY) 2024; 49:1122-1131. [PMID: 38289352 PMCID: PMC10955006 DOI: 10.1007/s00261-023-04178-4] [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: 10/19/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 03/22/2024]
Abstract
OBJECTIVES Detecting ablation site recurrence (ASR) after thermal ablation remains a challenge for radiologists due to the similarity between tumor recurrence and post-ablative changes. Radiomic analysis and machine learning methods may show additional value in addressing this challenge. The present study primarily sought to determine the efficacy of radiomic analysis in detecting ASR on follow-up computed tomography (CT) scans. The second aim was to develop a visualization tool capable of emphasizing regions of ASR between follow-up scans in individual patients. MATERIALS AND METHODS Lasso regression and Extreme Gradient Boosting (XGBoost) classifiers were employed for modeling radiomic features extracted from regions of interest delineated by two radiologists. A leave-one-out test (LOOT) was utilized for performance evaluation. A visualization method, creating difference heatmaps (diff-maps) between two follow-up scans, was developed to emphasize regions of growth and thereby highlighting potential ASR. RESULTS A total of 55 patients, including 20 with and 35 without ASR, were included in the radiomic analysis. The best performing model was achieved by Lasso regression tested with the LOOT approach, reaching an area under the curve (AUC) of 0.97 and an accuracy of 92.73%. The XGBoost classifier demonstrated better performance when trained with all extracted radiomic features than without feature selection, achieving an AUC of 0.93 and an accuracy of 89.09%. The diff-maps correctly highlighted post-ablative liver tumor recurrence in all patients. CONCLUSIONS Machine learning-based radiomic analysis and growth visualization proved effective in detecting ablation site recurrence on follow-up CT scans.
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Affiliation(s)
- Yunchao Yin
- Department of Radiology, Medical Imaging Center Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB, Groningen, The Netherlands
| | - Robbert J de Haas
- Department of Radiology, Medical Imaging Center Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB, Groningen, The Netherlands
| | - Natalia Alves
- Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands
| | - Jan Pieter Pennings
- Department of Radiology, Medical Imaging Center Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB, Groningen, The Netherlands
| | - Simeon J S Ruiter
- Department of Hepatobiliary Surgery and Liver Transplantation, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB, Groningen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Medical Imaging Center Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB, Groningen, The Netherlands
| | - Derya Yakar
- Department of Radiology, Medical Imaging Center Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB, Groningen, The Netherlands.
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
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Cassese G, Han HS, Yoon YS, Lee JS, Lee B, Lee HW, Cho JY. Evolution of laparoscopic liver resection in the last two decades: lessons from 2000 cases at a referral Korean center. Surg Endosc 2024; 38:1200-1210. [PMID: 38087108 DOI: 10.1007/s00464-023-10580-2] [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: 07/23/2023] [Accepted: 11/04/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND AND AIMS Laparoscopic liver resection (LLR) has evolved to become the standard surgical approach in many referral centers worldwide. The aim of this study was to analyze how LLR evolved at a single high-volume referral center since its introduction, more than two decades ago. METHODS Data from all consecutive LLR between January 2003 and September 2022 at the Seoul National University Bundang Hospital were analyzed. Perioperative outcomes were compared between three time periods, with major technological innovations considered as landmarks: before introduction of laparoscopic-US and CUSA (2003-2006), before (2006-2015) and after (2015-2022) introduction of high-definition scope. RESULTS During the analyzed time periods the number of technically challenging procedures increased from 39.2 to 61.1% (p < 0.001). The most recent period showed shorter median operation time (from 267.5' to 175', p < 0.001), lower median estimated blood loss (EBL) (from 500 to 300 ml, p < 0.001), lower intraoperative transfusions (from 33.8 to 9.3%, p < 0.001), shorter median postoperative hospital stay (from 12 to 6 days, p < 0.001). The time period, a technical major resection and an underlying liver cirrhosis were found to be the associated with longer operation time (p < 0.001) in the multivariable linear regression analysis, while tumor size, technically major surgeries and liver cirrhosis were associated with higher EBL (p < 0.001). CONCLUSION During the last two decades, the indications for patients undergoing LLR have expanded significantly, including more and more challenging procedures and frail patients. Despite such challenges, perioperative outcomes improved, although technically major procedures, cirrhotic patients and huge tumors have still to be considered challenging situations.
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Affiliation(s)
- Gianluca Cassese
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Clinical Medicine and Surgery, Division of Minimally Invasive and Robotic HPB Surgery, and Transplantation Service, Federico II University, Naples, Italy
| | - Ho-Seong Han
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea.
- Department of Surgery, Seoul National University Bundang Hospital, College of Medicine, Seoul National University, 166 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
| | - Yoo-Seok Yoon
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jun-Suh Lee
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Boram Lee
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hae Won Lee
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jai Young Cho
- Department of Surgery, Division of HPB Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
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Mazidimoradi A, Sabet Birjandi S, Salehiniya H. Effect of coronavirus disease 2019 on diagnosis and treatment of hepatocellular carcinoma: a systematic review. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2023; 4:1039-1058. [PMID: 38023991 PMCID: PMC10651356 DOI: 10.37349/etat.2023.00179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 08/28/2023] [Indexed: 12/01/2023] Open
Abstract
Aim Changes in strategies in the coronavirus disease 2019 (COVID-19) crisis and the imposing of restrictions have isolated many vulnerable patients including those with hepatocellular carcinoma (HCC) from routine medical care. This study investigated how the COVID-19 pandemic is affecting the diagnosis and treatment of HCC. Methods An extensive search was conducted in the PubMed, Scopus, and Web of Science databases by using the appropriate keywords: COVID-19, hepatocellular carcinoma, hepatocellular cancer, and MeSH. Studies in English related to the purpose of the study were included in the analysis, and review studies, case reports, letters to editors, comments, and reports were excluded. The quality of the studies was assessed by the "Adapted Newcastle-Ottawa Quality Assessment Scales" checklist. The Endnote X7 software has been used for managing items. Results The final qualitative analysis consisted of 27 articles. During the COVID-19 crisis, HCC diagnosis decreased from 20% to 34.13% compared to pre-crisis. The impact of the COVID-19 pandemic on HCC treatment encompasses a wide range of aspects. Generally, delays in treatment for patients with HCC ranged from more than one month for 21.5% of patients in France, to two months for 26% of patients in Italy, up to 30% in Austria, and 66.7% in Asia-Pacific countries. Conclusions According to the findings, developing and implementing appropriate diagnostic and therapeutic strategies and developing low-cost and high-precision screening programs among high-risk populations seem to be effective in reducing the impact of the COVID-19 pandemic on HCC management.
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Affiliation(s)
- Afrooz Mazidimoradi
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Samane Sabet Birjandi
- Department of Midwifery, Birjand Branch Islamic Azad University, Birjand 97178-11111, Iran
| | - Hamid Salehiniya
- Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand 97178-53577, Iran
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Selecting the Best Approach for the Treatment of Multiple Non-Metastatic Hepatocellular Carcinoma. Cancers (Basel) 2022; 14:cancers14235997. [PMID: 36497478 PMCID: PMC9737585 DOI: 10.3390/cancers14235997] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 11/29/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022] Open
Abstract
According to the Barcelona Clinic Liver Cancer (BCLC) staging system, the optimal strategy for patients with multiple HCC within the Milan Criteria is liver transplantation (LT). However, LT cannot be offered to all the patients due to organ shortages and long waiting lists, as well as because of the advanced disease carrying a high risk of poor outcomes. For early stages, liver resection (LR) or thermal ablation (TA) can be proposed, while trans-arterial chemoembolization (TACE) still remains the treatment of choice for intermediate stages (BCLC-B). Asian guidelines and the National Comprehensive Cancer Network suggest LR for resectable multinodular HCCs, even beyond Milan criteria. In this scenario, a growing body of evidence shows better outcomes after surgical resection when compared with TACE. Trans-arterial radioembolization (TARE) and stereotaxic body radiation therapy (SBRT) can also play an important role in this setting. Furthermore, the role of minimally invasive liver surgery (MILS) specifically for patients with multiple HCC is still not clear. This review aims to summarize current knowledge about the best therapeutical strategy for multiple HCC while focusing on the role of minimally invasive surgery and on the most attractive future perspectives.
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Cassese G, Han HS, Lee B, Lee HW, Cho JY, Panaro F, Troisi RI. Immunotherapy for hepatocellular carcinoma: A promising therapeutic option for advanced disease. World J Hepatol 2022; 14:1862-1874. [PMID: 36340753 PMCID: PMC9627435 DOI: 10.4254/wjh.v14.i10.1862] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/26/2022] [Accepted: 10/04/2022] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, and its incidence continues to increase. Despite improvements in both medical and surgical therapies, HCC remains associated with poor outcomes due to its high rates of recurrence and mortality. Approximately 50% of patients require systemic therapies that traditionally consist of tyrosine kinase inhibitors. Recently, however, immune checkpoint inhibitors have revolutionized HCC management, providing new therapeutic options. Despite these major advances, the different factors involved in poor clinical responses and molecular pathways leading to resistance following use of these therapies remain unclear. Alternative strategies, such as adoptive T cell transfer, vaccination, and virotherapy, are currently under evaluation. Combinations of immunotherapies with other systemic or local treatments are also being investigated and may be the most promising opportunities for HCC treatment. The aim of this review is to provide updated information on currently available immunotherapies for HCC as well as future perspectives.
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Affiliation(s)
- Gianluca Cassese
- Department of Clinical Medicine and Surgery, Division of Minimally Invasive and Robotic HPB Surgery, Federico II University, Naples 80131, Italy
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, South Korea
| | - Ho-Seong Han
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, South Korea
| | - Boram Lee
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, South Korea
| | - Hae Won Lee
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, South Korea
| | - Jai Young Cho
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, South Korea
| | - Fabrizio Panaro
- Department of Surgery, Division of HBP Surgery and Transplantation, Montpellier University Hospital - School of Medicine, Montpellier 34000, France
| | - Roberto Ivan Troisi
- Department of Clinical Medicine and Surgery, Division of Minimally Invasive and Robotic HPB Surgery, Federico II University, Naples 80131, Italy
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