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Ippolito D, Maino C, Gatti M, Marra P, Faletti R, Cortese F, Inchingolo R, Sironi S. Radiological findings in non-surgical recurrent hepatocellular carcinoma: From locoregional treatments to immunotherapy. World J Gastroenterol 2023; 29:1669-1684. [PMID: 37077517 PMCID: PMC10107213 DOI: 10.3748/wjg.v29.i11.1669] [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: 11/21/2022] [Revised: 01/10/2023] [Accepted: 03/02/2023] [Indexed: 03/17/2023] Open
Abstract
Since hepatocellular carcinoma (HCC) represents an important cause of mortality and morbidity all over the world. Currently, it is fundamental not only to achieve a curative treatment but also to manage in the best way any possible recurrence. Even if the latest update of the Barcelona Clinic Liver Cancer guidelines for HCC treatment has introduced new locoregional techniques and confirmed others as well-established clinical practices, there is still no consensus about the treatment of recurrent HCC (RHCC). Locoregional treatments and medical therapy represent two of the most widely accepted approaches for disease control, especially in the advanced stage of liver disease. Different medical treatments are now approved, and others are under investigation. On this basis, radiology plays a central role in the diagnosis of RHCC and the assessment of response to locoregional treatments and medical therapy for RHCC. This review summarized the actual clinical practice by underlining the importance of the radiological approach both in the diagnosis and treatment of RHCC.
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Affiliation(s)
- Davide Ippolito
- Department of Radiology, IRCCS San Gerardo dei Tintori, Monza 20900, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milano 20121, Italy
| | - Cesare Maino
- Department of Radiology, IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Paolo Marra
- Department of Diagnostic and Interventional Radiology, Papa Giovanni XXIII Hospital, Bergamo 24127, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Francesco Cortese
- Interventional Radiology Unit, “F. Miulli” Regional General Hospital, Bari 70121, Italy
| | - Riccardo Inchingolo
- Interventional Radiology Unit, “F. Miulli” Regional General Hospital, Bari 70121, Italy
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca, Milano 20121, Italy
- Department of Diagnostic and Interventional Radiology, Papa Giovanni XXIII Hospital, Bergamo 24127, Italy
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2
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Beaton L, Tregidgo HFJ, Znati SA, Forsyth S, Counsell N, Clarkson MJ, Bandula S, Chouhan M, Lowe HL, Thin MZ, Hague J, Sharma D, Pollok JM, Davidson BR, Raja J, Munneke G, Stuckey DJ, Bascal ZA, Wilde PE, Cooper S, Ryan S, Czuczman P, Boucher E, Hartley JA, Atkinson D, Lewis AL, Jansen M, Meyer T, Sharma RA. Phase 0 Study of Vandetanib-Eluting Radiopaque Embolics as a Preoperative Embolization Treatment in Patients with Resectable Liver Malignancies. J Vasc Interv Radiol 2022; 33:1034-1044.e29. [PMID: 35526675 DOI: 10.1016/j.jvir.2022.04.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 04/03/2022] [Accepted: 04/21/2022] [Indexed: 11/19/2022] Open
Abstract
PURPOSE To assess the safety and tolerability of a vandetanib-eluting radiopaque embolic (BTG-002814) for transarterial chemoembolization (TACE) in patients with resectable liver malignancies. MATERIALS AND METHODS The VEROnA clinical trial was a first-in-human, phase 0, single-arm, window-of-opportunity study. Eligible patients were aged ≥18 years and had resectable hepatocellular carcinoma (HCC) (Child-Pugh A) or metastatic colorectal cancer (mCRC). Patients received 1 mL of BTG-002814 transarterially (containing 100 mg of vandetanib) 7-21 days prior to surgery. The primary objectives were to establish the safety and tolerability of BTG-002814 and determine the concentrations of vandetanib and the N-desmethyl vandetanib metabolite in the plasma and resected liver after treatment. Biomarker studies included circulating proangiogenic factors, perfusion computed tomography, and dynamic contrast-enhanced magnetic resonance imaging. RESULTS Eight patients were enrolled: 2 with HCC and 6 with mCRC. There was 1 grade 3 adverse event (AE) before surgery and 18 after surgery; 6 AEs were deemed to be related to BTG-002814. Surgical resection was not delayed. Vandetanib was present in the plasma of all patients 12 days after treatment, with a mean maximum concentration of 24.3 ng/mL (standard deviation ± 13.94 ng/mL), and in resected liver tissue up to 32 days after treatment (441-404,000 ng/g). The median percentage of tumor necrosis was 92.5% (range, 5%-100%). There were no significant changes in perfusion imaging parameters after TACE. CONCLUSIONS BTG-002814 has an acceptable safety profile in patients before surgery. The presence of vandetanib in the tumor specimens up to 32 days after treatment suggests sustained anticancer activity, while the low vandetanib levels in the plasma suggest minimal release into the systemic circulation. Further evaluation of this TACE combination is warranted in dose-finding and efficacy studies.
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Affiliation(s)
- Laura Beaton
- University College London Cancer Institute, University College London, London, United Kingdom.
| | - Henry F J Tregidgo
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Sami A Znati
- University College London Cancer Institute, University College London, London, United Kingdom
| | - Sharon Forsyth
- Cancer Research UK and University College London Cancer Trials Centre, University College London, London, United Kingdom
| | - Nicholas Counsell
- Cancer Research UK and University College London Cancer Trials Centre, University College London, London, United Kingdom
| | - Matthew J Clarkson
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Steven Bandula
- University College London Centre for Medical Imaging, University College London, London, United Kingdom
| | - Manil Chouhan
- University College London Centre for Medical Imaging, University College London, London, United Kingdom
| | - Helen L Lowe
- University College London Experimental Cancer Medicine Centre Good Clinical Laboratory Practice Facility, University College London, London, United Kingdom
| | - May Zaw Thin
- Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom
| | - Julian Hague
- University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Dinesh Sharma
- Division of Transplantation and Immunology, Royal Free Hospital NHS Foundation Trust, London, United Kingdom
| | - Joerg-Matthias Pollok
- Division of Surgery and Interventional Science, University College London, London, United Kingdom; Hepatopancreatobiliary Surgery and Liver Transplantation, Royal Free Hospital NHS Foundation Trust, London, United Kingdom
| | - Brian R Davidson
- Division of Surgery and Interventional Science, University College London, London, United Kingdom; Hepatopancreatobiliary Surgery and Liver Transplantation, Royal Free Hospital NHS Foundation Trust, London, United Kingdom
| | - Jowad Raja
- University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Graham Munneke
- University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Daniel J Stuckey
- Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom
| | - Zainab A Bascal
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Paul E Wilde
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Sarah Cooper
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Samantha Ryan
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Peter Czuczman
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Eveline Boucher
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - John A Hartley
- University College London Cancer Institute, University College London, London, United Kingdom; University College London Experimental Cancer Medicine Centre Good Clinical Laboratory Practice Facility, University College London, London, United Kingdom
| | - David Atkinson
- University College London Centre for Medical Imaging, University College London, London, United Kingdom
| | - Andrew L Lewis
- Biocompatibles UK Ltd, Lakeview, Riverside Way, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Marnix Jansen
- University College London Cancer Institute, University College London, London, United Kingdom; University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Tim Meyer
- University College London Cancer Institute, University College London, London, United Kingdom; Department of Oncology, Royal Free Hospital NHS Foundation Trust, London, United Kingdom
| | - Ricky A Sharma
- National Institute for Health Research University College London Hospitals Biomedical Centre, University College London Cancer Institute, London, United Kingdom
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Garbino N, Brancato V, Salvatore M, Cavaliere C. A Systematic Review on the Role of the Perfusion Computed Tomography in Abdominal Cancer. Dose Response 2021; 19:15593258211056199. [PMID: 34880716 PMCID: PMC8647276 DOI: 10.1177/15593258211056199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 11/17/2022] Open
Abstract
Background and purpose Perfusion Computed Tomography (CTp) is an imaging technique which allows
quantitative and qualitative evaluation of tissue perfusion through dynamic
CT acquisitions. Since CTp is still considered a research tool in the field
of abdominal imaging, the aim of this work is to provide a systematic
summary of the current literature on CTp in the abdominal region to clarify
the role of this technique for abdominal cancer applications. Materials and Methods A systematic literature search of PubMed, Web of Science, and Scopus was
performed to identify original articles involving the use of CTp for
clinical applications in abdominal cancer since 2011. Studies were included
if they reported original data on CTp and investigated the clinical
applications of CTp in abdominal cancer. Results Fifty-seven studies were finally included in the study. Most of the included
articles (33/57) dealt with CTp at the level of the liver, while a low
number of studies investigated CTp for oncologic diseases involving UGI
tract (8/57), pancreas (8/57), kidneys (3/57), and colon–rectum (5/57). Conclusions Our study revealed that CTp could be a valuable functional imaging tool in
the field of abdominal oncology, particularly as a biomarker for monitoring
the response to anti-tumoral treatment.
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Gong XQ, Tao YY, Wu Y, Liu N, Yu X, Wang R, Zheng J, Liu N, Huang XH, Li JD, Yang G, Wei XQ, Yang L, Zhang XM. Progress of MRI Radiomics in Hepatocellular Carcinoma. Front Oncol 2021; 11:698373. [PMID: 34616673 PMCID: PMC8488263 DOI: 10.3389/fonc.2021.698373] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 08/31/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world and the third leading cause of cancer-related death. Although the diagnostic scheme of HCC is currently undergoing refinement, the prognosis of HCC is still not satisfactory. In addition to certain factors, such as tumor size and number and vascular invasion displayed on traditional imaging, some histopathological features and gene expression parameters are also important for the prognosis of HCC patients. However, most parameters are based on postoperative pathological examinations, which cannot help with preoperative decision-making. As a new field, radiomics extracts high-throughput imaging data from different types of images to build models and predict clinical outcomes noninvasively before surgery, rendering it a powerful aid for making personalized treatment decisions preoperatively. OBJECTIVE This study reviewed the workflow of radiomics and the research progress on magnetic resonance imaging (MRI) radiomics in the diagnosis and treatment of HCC. METHODS A literature review was conducted by searching PubMed for search of relevant peer-reviewed articles published from May 2017 to June 2021.The search keywords included HCC, MRI, radiomics, deep learning, artificial intelligence, machine learning, neural network, texture analysis, diagnosis, histopathology, microvascular invasion, surgical resection, radiofrequency, recurrence, relapse, transarterial chemoembolization, targeted therapy, immunotherapy, therapeutic response, and prognosis. RESULTS Radiomics features on MRI can be used as biomarkers to determine the differential diagnosis, histological grade, microvascular invasion status, gene expression status, local and systemic therapeutic responses, and prognosis of HCC patients. CONCLUSION Radiomics is a promising new imaging method. MRI radiomics has high application value in the diagnosis and treatment of HCC.
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Affiliation(s)
- Xue-Qin Gong
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yun-Yun Tao
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yao–Kun Wu
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Ning Liu
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xi Yu
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Ran Wang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jing Zheng
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Nian Liu
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiao-Hua Huang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jing-Dong Li
- Department of Hepatocellular Surgery, Institute of Hepato-Biliary-Intestinal Disease, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Gang Yang
- Department of Hepatocellular Surgery, Institute of Hepato-Biliary-Intestinal Disease, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiao-Qin Wei
- School of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Lin Yang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiao-Ming Zhang
- Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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Nakamura Y, Higaki T, Honda Y, Tatsugami F, Tani C, Fukumoto W, Narita K, Kondo S, Akagi M, Awai K. Advanced CT techniques for assessing hepatocellular carcinoma. Radiol Med 2021; 126:925-935. [PMID: 33954894 DOI: 10.1007/s11547-021-01366-4] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/26/2021] [Indexed: 02/07/2023]
Abstract
Hepatocellular carcinoma (HCC) is the sixth-most common cancer in the world, and hepatic dynamic CT studies are routinely performed for its evaluation. Ongoing studies are examining advanced imaging techniques that may yield better findings than are obtained with conventional hepatic dynamic CT scanning. Dual-energy CT-, perfusion CT-, and artificial intelligence-based methods can be used for the precise characterization of liver tumors, the quantification of treatment responses, and for predicting the overall survival rate of patients. In this review, the advantages and disadvantages of conventional hepatic dynamic CT imaging are reviewed and the general principles of dual-energy- and perfusion CT, and the clinical applications and limitations of these technologies are discussed with respect to HCC. Finally, we address the utility of artificial intelligence-based methods for diagnosing HCC.
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Affiliation(s)
- Yuko Nakamura
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
| | - Toru Higaki
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Yukiko Honda
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Fuminari Tatsugami
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Chihiro Tani
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Wataru Fukumoto
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Keigo Narita
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Shota Kondo
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Motonori Akagi
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Kazuo Awai
- Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
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6
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Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2020.102298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Dynamic Hepatocellular Carcinoma Model Within a Liver Phantom for Multimodality Imaging. Eur J Radiol Open 2020; 7:100257. [PMID: 32944594 PMCID: PMC7481524 DOI: 10.1016/j.ejro.2020.100257] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 08/24/2020] [Indexed: 02/06/2023] Open
Abstract
Introduction Hepatocellular carcinoma (HCC) is one of the most common cancer in the world, and the effectiveness of its treatment lies in its detection in its early stages. The aim of this study is to mimic HCC dynamically through a liver phantom and apply it in multimodality medical imaging techniques including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound. Methods and materials The phantom is fabricated with two main parts, liver parenchyma and HCC inserts. The liver parenchyma was fabricated by adding 2.5 wt% of agarose powder combined with 2.6 wt% of wax powder while the basic material for the HCC samples was made from polyurethane solution combined with 5 wt% glycerol. Three HCC samples were inserted into the parenchyma by using three cylinders implanted inside the liver parenchyma. An automatic injector is attached to the input side of the cylinders and a suction device connected to the output side of the cylinders. After the phantom was prepared, the contrast materials were injected into the phantom and imaged using MRI, CT, and ultrasound. Results Both HCC samples and liver parenchyma were clearly distinguished using the three imaging modalities: MRI, CT, and ultrasound. Doppler ultrasound was also applied through the HCC samples and the flow pattern was observed through the samples. Conclusion A multimodal dynamic liver phantom, with HCC tumor models have been fabricated. This phantom helps to improve and develop different methods for detecting HCC in its early stages.
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8
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The effects of baseline length in Computed Tomography perfusion of liver. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2020.102135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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9
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Eilard MS, Andersson M, Naredi P, Geronymakis C, Lindnér P, Cahlin C, Bennet W, Rizell M. A prospective clinical trial on sorafenib treatment of hepatocellular carcinoma before liver transplantation. BMC Cancer 2019; 19:568. [PMID: 31185950 PMCID: PMC6560824 DOI: 10.1186/s12885-019-5760-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 05/27/2019] [Indexed: 12/17/2022] Open
Abstract
Background Patients with hepatocellular carcinoma waiting for liver transplantation are commonly treated with locoregional treatments, such as TACE and ablation, to prevent tumor progression and dropout and to improve long-term outcome after transplantation. We wanted to prospectively assess feasibility of systemic antitumor treatment with sorafenib as neoadjuvant treatment for hepatocellular carcinoma while waiting for liver transplantation, evaluating tolerability, toxicity and posttransplant morbidity. We also wanted to evaluate perfusion CT parameters to assess tumor properties and response early after start of sorafenib treatment in patients with early hepatocellular carcinoma. Methods Twelve patients assigned for liver transplantation due to hepatocellular carcinoma, within the UCSF and who fulfilled other criteria, were included January 2012–August 2014. After baseline evaluation, sorafenib treatment was started. Treatment was evaluated by perfusion CT at 1, 4 and 12 weeks and thereafter every 8 weeks. Toxicity and quality of life was assessed at 1 and 4 weeks and every 4 weeks thereafter during treatment. Treatment was stopped when patients were prioritized on the transplantation waiting list or when intolerable side effects or tumor progress warranted other treatments. Posttransplant morbidity after 90 days was registered according to Clavien-Dindo. Results Baseline perfusion CT parameters in the tumors predicted the outcome according to RECIST/mRECIST at three months, but no change in CTp parameters was detected as a result of sorafenib. Sorafenib as neoadjuvant treatment was associated with intolerability and dose reductions. Therefore the prerequisites for evaluation of the sorafenib effect on both CT parameters and tumor response were impaired. Conclusions This study failed to show changes in CTp parameters during sorafenib treatment. Despite the curative treatment intention, tolerability of neoadjuvant sorafenib treatment before liver transplantation was inadequate in this study. Trial registration EudraCT number: 2010–024306-36 (date 2011-04-07). Electronic supplementary material The online version of this article (10.1186/s12885-019-5760-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Malin Sternby Eilard
- Transplantation Center, Sahlgrenska University Hospital, Gothenburg, 413 45, Gothenburg, Sweden. .,Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Mats Andersson
- Department of Radiology, Sahlgrenska University Hospital and Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Peter Naredi
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Charalampos Geronymakis
- Department of Radiology, Sahlgrenska University Hospital and Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Per Lindnér
- Transplantation Center, Sahlgrenska University Hospital, Gothenburg, 413 45, Gothenburg, Sweden.,Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Christian Cahlin
- Transplantation Center, Sahlgrenska University Hospital, Gothenburg, 413 45, Gothenburg, Sweden
| | - William Bennet
- Transplantation Center, Sahlgrenska University Hospital, Gothenburg, 413 45, Gothenburg, Sweden.,Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Magnus Rizell
- Transplantation Center, Sahlgrenska University Hospital, Gothenburg, 413 45, Gothenburg, Sweden.,Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Bevilacqua A, Malavasi S, Vilgrain V. Liver CT perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy? Eur Radiol 2019; 29:6550-6558. [PMID: 31115620 DOI: 10.1007/s00330-019-06259-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 04/20/2019] [Accepted: 04/30/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVES High radiation dose during CT perfusion (CTp) studies contributes to prevent CTp application in daily clinical practice. This work evaluates the consequences of scan delay on perfusion parameters and provides guidelines to help reducing the radiation dose by choosing the most appropriate delay. METHODS Fifty-nine patients (34 men, 25 women; mean age 68 ± 12) with colorectal cancer, without underlying liver disease, underwent liver CTp, with the acquisition starting simultaneously with iodinated contrast agent injection. Blood flow (BF) and hepatic perfusion index (HPI) were computed on the acquired examinations and compared with those of the same examinations when a variable scan delay (τ) is introduced. Dose length product, CT dose index, and effective dose were also computed on original and delayed examinations. RESULTS Altogether, three groups of delays (τ ≤ 4 s, 5 s ≤ τ ≤ 9 s, τ ≥ 10 s) were identified, yielding increasing radiation dose saving (RDS) (RDS ≤ 9.5%, 11.9% ≤ RDS ≤ 21.4%, RDS ≥ 23.8%) and decreasing perfusion accuracy (high (τ ≤ 4 s), medium (5 s ≤ τ ≤ 9 s), low (τ ≥ 10 s)). In particular, single-input and arterial BF and HPI were more insensitive to delay as regards the absolute variations (only 1 ml/min/100 g and 1%, respectively, for τ ≤ 9 s), than portal and total BF. CONCLUSION Using delays lower than 4 s does not change perfusion accuracy and conveys unnecessary dose to patients. Conversely, starting the acquisition 9 s after contrast agent injection yields a RDS of about 21%, with no significant losses in perfusion accuracy. KEY POINTS • Scan delays lower than 4 s do not alter perfusion accuracy and deliver an unnecessary radiation dose to patients. • Radiation dose delivered to patients can be reduced by 21.4% by introducing a 9-s scan delay, while keeping accurate perfusion values. • Using scan delays higher than 10 s, some perfusion parameters (portal and total BF) were inaccurate.
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Affiliation(s)
- Alessandro Bevilacqua
- DISI (Department of Computer Science and Engineering), University of Bologna, Viale Risorgimento, 2, I-40136, Bologna, Italy.,ARCES (Advanced Research Center on Electronic Systems), University of Bologna, Via Toffano 2/2, I-40125, Bologna, Italy
| | - Silvia Malavasi
- ARCES (Advanced Research Center on Electronic Systems), University of Bologna, Via Toffano 2/2, I-40125, Bologna, Italy.,CIG (Interdepartmental Centre "L. Galvani" for integrated studies of Bioinformatics, Biophysics and Biocomplexity), University of Bologna, Via Petroni 26, I-40126, Bologna, Italy
| | - Valérie Vilgrain
- Department of Radiology, Assistance-Publique Hôpitaux de Paris, APHP, HUPNVS, Hôpital Beaujon, 100 bd du Général Leclerc, 92110, Clichy, France. .,Sorbonne Paris Cité, INSERM CRI, Université Paris Diderot, 75018, Paris, France.
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11
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Navin PJ, Venkatesh SK. Hepatocellular Carcinoma: State of the Art Imaging and Recent Advances. J Clin Transl Hepatol 2019; 7:72-85. [PMID: 30944823 PMCID: PMC6441649 DOI: 10.14218/jcth.2018.00032] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 12/31/2018] [Accepted: 01/04/2019] [Indexed: 02/07/2023] Open
Abstract
The incidence of hepatocellular carcinoma (HCC) is increasing, with this trend expected to continue to the year 2030. Hepatocarcinogenesis follows a predictable course, which makes adequate identification and surveillance of at-risk individuals central to a successful outcome. Moreover, imaging is central to this surveillance, and ultimately to diagnosis and management. Many liver study groups throughout Asia, North America and Europe advocate a surveillance program for at-risk individuals to allow early identification of HCC. Ultrasound is the most commonly utilized imaging modality. Many societies offer guidelines on how to diagnose HCC. The Liver Image Reporting and Data System (LIRADS) was introduced to standardize the acquisition, interpretation, reporting and data collection of HCC cases. The LIRADS advocates diagnosis using multiphase computed tomography or magnetic resonance imaging (MRI) imaging. The 2017 version also introduces contrast-enhanced ultrasound as a novel approach to diagnosis. Indeed, imaging techniques have evolved to improve diagnostic accuracy and characterization of HCC lesions. Newer techniques, such as T1 mapping, intravoxel incoherent motion analysis and textural analysis, assess specific characteristics that may help grade the tumor and guide management, allowing for a more personalized approach to patient care. This review aims to analyze the utility of imaging in the surveillance and diagnosis of HCC and to assess novel techniques which may increase the accuracy of imaging and determine optimal treatment strategies.
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Higaki T, Nakamura Y, Fukumoto W, Honda Y, Tatsugami F, Awai K. Clinical application of radiation dose reduction at abdominal CT. Eur J Radiol 2019; 111:68-75. [DOI: 10.1016/j.ejrad.2018.12.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 11/08/2018] [Accepted: 12/17/2018] [Indexed: 02/07/2023]
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Ippolito D, Querques G, Pecorelli A, Talei Franzesi C, Okolicsanyi S, Strazzabosco M, Sironi S. Diagnostic Value of Quantitative Perfusion Computed Tomography Technique in the Assessment of Tumor Response to Sorafenib in Patients With Advanced Hepatocellular Carcinoma. J Comput Assist Tomogr 2019; 43:206-213. [PMID: 30407241 DOI: 10.1097/rct.0000000000000807] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM The aim of this study was to assess the role of dynamic contrast-enhanced perfusion computed tomography (pCT) imaging in the early detection of blood flow changes related to antiangiogenic treatment with sorafenib, in patients with advanced hepatocellular carcinoma (HCC), being the modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria the standard of reference. METHODS Between 2012 and 2016, 43 cirrhotic patients (male, n = 39; female, n = 4) with biopsy-proven multifocal HCC underwent multi-detector-row computed tomography, and pCT examinations were performed before and every 2 months after sorafenib administration. Perfusion CT technique is based on the acquisition of 16 dynamic slices/scan per 40 scans, performed on a 256-slice multi-detector-row computed tomography scanner, after intravenous bolus injection of 50 mL of iodinated contrast agent (350 mg I/mL) at a flow rate of 5 mL/s. According to mRECIST, patients were stratified into complete (CR) or partial response (PR) and stable (SD) or progressive disease (PD). The following pCT parameters were calculated: hepatic perfusion (mL/s per 100 g), time to peak (seconds), arterial perfusion (mL/s), and hepatic perfusion index (%). Perfusion CT values at baseline and first follow-up were reported for all mRECIST groups and then compared between the nonprogressor (CR, PR, SD) and progressor groups (PD). RESULTS Most pCT values were significantly higher (P < 0.01) between baseline and follow-up in the CR and PR groups, whereas nonsignificant differences were found among SD patients, and a nonsignificant trend (P > 0.05) toward increase was observed among PD patients. Moreover, pCT values were significantly higher (P = 0.05) at baseline in the nonprogressor group compared with the progressor. CONCLUSION Preliminary results suggest that pCT adds quantitative data of vascularization, thus demonstrating its usefulness in the assessment of therapeutic response to sorafenib in advanced HCC, in line with mRECIST criteria, offering 1-step information on tissue cellularity and vascularization.
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Zheng T, Jiang H, Wei Y, Huang Z, Chen J, Duan T, Song B. Imaging evaluation of sorafenib for treatment of advanced hepatocellular carcinoma. Chin J Cancer Res 2018; 30:382-394. [PMID: 30046232 DOI: 10.21147/j.issn.1000-9604.2018.03.10] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Sorafenib, which is a novel targeted agent, plays an important role in treating advanced hepatocellular carcinoma (HCC) through its antiangiogenic and antiproliferative effects. However, conventional morphology-based radiographic evaluation systems may underestimate the efficacy of sorafenib in HCC due to a lack of apparent tumor shrinkage or altered tumor morphology in many cases. This calls for the development of more accurate imaging methods for evaluating sorafenib. The introduction of tumor burden measurements based on viability and other evolving imaging approaches for assessing therapeutic effects are promising for overcoming some of the limitations of the morphology-based criteria. In this review, we summarize various imaging methods that are used to assess treatment responses of advanced HCC to sorafenib. Imaging markers predictive of prognosis in advanced HCC after treatment with sorafenib are also included and discussed.
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Affiliation(s)
- Tianying Zheng
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
| | - Hanyu Jiang
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
| | - Yi Wei
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
| | - Zixing Huang
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
| | - Jie Chen
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
| | - Ting Duan
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
| | - Bin Song
- Department of Radiology, Sichuan University West China Hospital, Chengdu 610041, China
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