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Chouari T, Merali N, La Costa F, Santol J, Chapman S, Horton A, Aroori S, Connell J, Rockall TA, Mole D, Starlinger P, Welsh F, Rees M, Frampton AE. The Role of the Multiparametric MRI LiverMultiScan TM in the Quantitative Assessment of the Liver and Its Predicted Clinical Applications in Patients Undergoing Major Hepatic Resection for Colorectal Liver Metastasis. Cancers (Basel) 2023; 15:4863. [PMID: 37835557 PMCID: PMC10571783 DOI: 10.3390/cancers15194863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/05/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
Liver biopsy remains the gold standard for the histological assessment of the liver. With clear disadvantages and the rise in the incidences of liver disease, the role of neoadjuvant chemotherapy in colorectal liver metastasis (CRLM) and an explosion of surgical management options available, non-invasive serological and imaging markers of liver histopathology have never been more pertinent in order to assess liver health and stratify patients considered for surgical intervention. Liver MRI is a leading modality in the assessment of hepatic malignancy. Recent technological advancements in multiparametric MRI software such as the LiverMultiScanTM offers an attractive non-invasive assay of anatomy and histopathology in the pre-operative setting, especially in the context of CRLM. This narrative review examines the evidence for the LiverMultiScanTM in the assessment of hepatic fibrosis, steatosis/steatohepatitis, and potential applications for chemotherapy-associated hepatic changes. We postulate its future role and the hurdles it must surpass in order to be implemented in the pre-operative management of patients undergoing hepatic resection for colorectal liver metastasis. Such a role likely extends to other hepatic malignancies planned for resection.
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Affiliation(s)
- Tarak Chouari
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Nabeel Merali
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Francesca La Costa
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Jonas Santol
- Department of Surgery, HPB Center, Vienna Health Network, Clinic Favoriten and Sigmund Freud Private University, 1090 Vienna, Austria
- Institute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
| | - Shelley Chapman
- Department of Radiology, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Alex Horton
- Department of Radiology, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Somaiah Aroori
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery and Transplant Surgery, Derriford Hospital, Plymouth PL6 8DH, UK
| | | | - Timothy A. Rockall
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Damian Mole
- Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh EH10 5HF, UK
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH105HF, UK
| | - Patrick Starlinger
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery, Mayo Clinic, Rochester, MN 55902, USA
- Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
- Department of Surgery, Medical University of Vienna, General Hospital, 1090 Vienna, Austria
| | - Fenella Welsh
- Hepato-Biliary Unit, Hampshire Hospitals Foundation Trust, Basingstoke, Hampshire RG24 9NA, UK
| | - Myrddin Rees
- Hepato-Biliary Unit, Hampshire Hospitals Foundation Trust, Basingstoke, Hampshire RG24 9NA, UK
| | - Adam E. Frampton
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
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Horisberger K, Rössler F, Oberkofler CE, Raptis D, Petrowsky H, Clavien PA. The value of intraoperative dynamic liver function test ICG in predicting postoperative complications in patients undergoing staged hepatectomy: a pilot study. Langenbecks Arch Surg 2023; 408:264. [PMID: 37403000 PMCID: PMC10319685 DOI: 10.1007/s00423-023-02983-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/13/2023] [Indexed: 07/06/2023]
Abstract
PURPOSE To assess the predictive value of intraoperative indocyanine green (ICG) test in patients undergoing staged hepatectomy. METHODS We analyzed intraoperative ICG measurements of future liver remnant (FLR), preoperative ICG, volumetry, and hepatobiliary scintigraphy in 15 patients undergoing associated liver partition and portal vein ligation for staged hepatectomy (ALPPS). Main endpoints were the correlation of intraoperative ICG values to postoperative complications (Comprehensive Complication Index (CCI®)) at discharge and 90 days after surgery, and to postoperative liver function. RESULTS Median intraoperative R15 (ICG retention rate at 15 min) correlated significantly with CCI® at discharge (p = 0.05) and with CCI® at 90 days (p = 0.0036). Preoperative ICG, volumetry, and scintigraphy did not correlate to postoperative outcome. ROC curve analysis revealed a cutoff value of 11.4 for the intraoperative R15 to predict major complications (Clavien-Dindo ≥ III) with 100% sensitivity and 63% specificity. No patient with R15 ≤ 11 developed major complications. CONCLUSION This pilot study suggests that intraoperative ICG clearance determines the functional capacity of the future liver remnant more accurately than preoperative tests. This may further reduce the number of postoperative liver failures, even if it means intraoperative abortion of hepatectomy in individual cases.
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Affiliation(s)
- Karoline Horisberger
- Swiss HPB Center Zurich, Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.
- Department of General, Visceral and Transplant Surgery, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
| | - Fabian Rössler
- Swiss HPB Center Zurich, Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
| | - Christian E Oberkofler
- Swiss HPB Center Zurich, Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
- vivèvis AG - Visceral, Tumor and Robotic Surgery Clinic Hirslanden Zürich, Zurich, Switzerland
| | - Dimitri Raptis
- Organ Transplant Center of Excellence, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | - Henrik Petrowsky
- Swiss HPB Center Zurich, Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
| | - Pierre-Alain Clavien
- Swiss HPB Center Zurich, Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
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Kaprin AD, Ivanov SA, Petrov LO, Isaeva AG. [Indocyanine green in liver tumor resection]. Khirurgiia (Mosk) 2023:5-10. [PMID: 37682541 DOI: 10.17116/hirurgia20230925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Primary liver cancer and colorectal cancer liver metastases are among the leading causes of cancer-related mortality worldwide. Surgery is one of the main methods of treatment to achieve the best results in overall and recurrence-free survival. The main objectives in this surgery are preoperative planning, assessment of functional viability of liver parenchyma and total resection with low complication rate. Post-resection liver failure is one of the most formidable and often fatal complication following functional failure of liver remnant. Thus, preoperative assessment of liver functional reserves is a necessary step for adequate selection of patients and safe surgery. Passive liver tests, such as biochemical parameters or clinical scales, do not accurately reflect the actual functional component of liver parenchyma. The most accurate method is dynamic quantitative test of liver, such as indocyanine green clearance. The authors discuss the practical aspects of preoperative assessment of liver functional reserves using indocyanine green, as well as the concept and technical foundations of fluorescent imaging in hepatobiliary surgery.
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Affiliation(s)
- A D Kaprin
- National Medical Research Radiology Center, Obninsk, Russia
| | - S A Ivanov
- Tsyb Medical Radiology Research Center, Obninsk, Russia
| | - L O Petrov
- Tsyb Medical Radiology Research Center, Obninsk, Russia
| | - A G Isaeva
- Tsyb Medical Radiology Research Center, Obninsk, Russia
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Tang G, Liu J, Liu P, Huang F, Shao X, Chen Y, Xie A. Evaluation of liver function in patients with liver cirrhosis and chronic liver disease using functional liver imaging scores at different acquisition time points. Front Genet 2022; 13:1071025. [PMID: 36561314 PMCID: PMC9765309 DOI: 10.3389/fgene.2022.1071025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 11/15/2022] [Indexed: 12/12/2022] Open
Abstract
Purpose: This paper aims to explore whether functional liver imaging score (FLIS) based on Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) images at 5, 10, and 15 min can predict liver function in patients with liver cirrhosis or chronic liver disease and its association with indocyanine green 15-min retention rate (ICG-R15), Child-Pugh (CP) score, albumin-bilirubin (ALBI) score, and model for end-stage liver disease (MELD) score. In addition, it also examines the inter- and intra-observer consistency of FLIS and three FLIS parameters at three different time points. Methods: This study included 110 patients with chronic liver disease (CLD) or liver cirrhosis (LC) (93 men, 17 women; mean ± standard deviation = 56.96 ± 10.16) between July 2019 and May 2022. FLIS was assigned in accordance with the sum of the three hepatobiliary phase characteristics, all of which were scored on the 0-2 ordinal scale, including the biliary excretion, hepatic enhancement and portal vein signal intensity. FLIS was calculated independently by two radiologists using transitional and hepatobiliary phase images at 5, 10, and 15 min after enhancement. The relationship between FLIS and three FLIS quality scores and the degree of liver function were evaluated using Spearman's rank correlation coefficient. The ability of FLIS to predict hepatic function was investigated using receiver operating characteristic (ROC) curves. Results: Intra- and inter-observer intraclass correlation coefficients (ICCs) (ICC = 0.937-0.978, 95% CI = 0.909-0.985) for FLIS at each time point indicated excellent agreement. At each time point, FLIS had a moderate negative association with liver function classification (r = [-0.641]-[-0.428], p < 0.001), and weak to moderate correlation with some other clinical parameters except for creatinine (p > 0.05). FLIS showed moderate discriminatory ability between different liver function levels. The area under the ROC curves (AUCs) of FLIS at 5, 10, and 15 min after enhancement to predict ICG-R15 of 10% or less were 0.838, 0.802, and 0.723, respectively; those for predicting ICG-R15 greater than 20% were 0.793, 0.824, and 0.756, respectively; those for predicting ICG-R15 greater than 40% were 0.728, 0.755, and 0.741, respectively; those for predicting ALBI grade 1 were 0.734, 0.761, and 0.691, respectively; those for predicting CP class A cirrhosis were 0.806, 0.821, and 0.829, respectively; those for predicting MELD score of 10 or less were 0.837, 0.877, and 0.837, respectively. No significant difference was found in the AUC of FLIS at 5, 10 and 15 min (p > 0.05). Conclusion: FLIS presented a moderate negative correlation with the classification system of hepatic function at a delay of 5, 10, and 15 min, and patients with LC or CLD were appropriately stratified based on ICG-R15, ALBI grade, MELD score, and CP classification. In addition, the use of FLIS to evaluate liver function can reduce the observation time of the hepatobiliary period.
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Affiliation(s)
- Guixiang Tang
- Department of Radiology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Jianbin Liu
- Department of Radiology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Peng Liu
- Department of Radiology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Feng Huang
- Department of Radiology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Xunuo Shao
- School of Mathematics and Statistics, Hunan Normal University, Changsha, China
| | - Yao Chen
- Department of Radiology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - An Xie
- Department of Radiology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China,*Correspondence: An Xie,
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Lai RM, Wang MM, Lin XY, Zheng Q, Chen J. Clinical value of predictive models based on liver stiffness measurement in predicting liver reserve function of compensated chronic liver disease. World J Gastroenterol 2022; 28:6045-6055. [PMID: 36405384 PMCID: PMC9669823 DOI: 10.3748/wjg.v28.i42.6045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/13/2022] [Accepted: 10/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Assessment of liver reserve function (LRF) is essential for predicting the prognosis of patients with chronic liver disease (CLD) and determines the extent of liver resection in patients with hepatocellular carcinoma.
AIM To establish noninvasive models for LRF assessment based on liver stiffness measurement (LSM) and to evaluate their clinical performance.
METHODS A total of 360 patients with compensated CLD were retrospectively analyzed as the training cohort. The new predictive models were established through logistic regression analysis and were validated internally in a prospective cohort (132 patients).
RESULTS Our study defined indocyanine green retention rate at 15 min (ICGR15) ≥ 10% as mildly impaired LRF and ICGR15 ≥ 20% as severely impaired LRF. We constructed predictive models of LRF, named the mLPaM and sLPaM, which involved only LSM, prothrombin time international normalized ratio to albumin ratio (PTAR), age and model for end-stage liver disease (MELD). The area under the curve of the mLPaM model (0.855, 0.872, respectively) and sLPaM model (0.869, 0.876, respectively) were higher than that of the methods for MELD, albumin-bilirubin grade and PTAR in the two cohorts, and their sensitivity and negative predictive value were the highest among these methods in the training cohort. In addition, the new models showed good sensitivity and accuracy for the diagnosis of LRF impairment in the validation cohort.
CONCLUSION The new models had a good predictive performance for LRF and could replace the indocyanine green (ICG) clearance test, especially in patients who are unable to undergo ICG testing.
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Affiliation(s)
- Rui-Min Lai
- Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Miao-Miao Wang
- Department of Endocrinology, The 910th Hospital of The Joint Service Support Force, Quanzhou 362000, Fujian Province, China
| | - Xiao-Yu Lin
- Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Qi Zheng
- Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian Province, China
| | - Jing Chen
- Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian Province, China
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Dong J, Sun J, Cai W, Guo C, Wang Q, Zhao X, Zhang R. A natural cuttlefish melanin nanoprobe for preoperative and intraoperative mapping of lymph nodes. Nanomedicine 2022; 41:102510. [PMID: 34915179 DOI: 10.1016/j.nano.2021.102510] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 11/03/2021] [Accepted: 11/22/2021] [Indexed: 06/14/2023]
Abstract
Lymphatic metastasis plays an important role in malignant tumor invasion. Efficient identification of sentinel lymph node (SLN) is extremely significant for designing therapeutic strategies and assessing prognosis. In this work, we developed a natural cuttlefish melanin nanoprobe for the preoperative and intraoperative evaluation of lymphatic metastasis. The cuttlefish melanin nanoparticle could improve the water-solubility and biocompatibility of the near-infrared-II (NIR-II) dye, and extend the retention time of small molecule dye. The NIR-II imaging results verified that the nanoparticles have a high accumulation, high sensitivity, and high signal-to-noise ratio in the lymphatic system. Moreover, the nanoparticles have obvious naked-eye identification potential due to their natural brownish-black color. Additionally, the nanoparticles can combine with Gd ions to achieve preoperative lymphatic magnetic resonance imaging (MRI). The results of this study provide a unique approach to effectively identify and accurately remove lymph nodes before operation and during surgery, exhibiting tremendous potential in clinical translation.
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Affiliation(s)
- Jie Dong
- The Radiology Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Jinghua Sun
- The Radiology Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Wenwen Cai
- The Radiology Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Chunyan Guo
- The Radiology Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Qian Wang
- The Radiology Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Xuhui Zhao
- The Radiology Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Ruiping Zhang
- The General Surgery Department of Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Taiyuan, China.
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Luo N, Huang X, Ji Y, Jin G, Qin Y, Xiang B, Su D, Tang W. A functional liver imaging score for preoperative prediction of liver failure after hepatocellular carcinoma resection. Eur Radiol 2022; 32:5623-5632. [PMID: 35294586 DOI: 10.1007/s00330-022-08656-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/11/2022] [Accepted: 02/13/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Posthepatectomy liver failure (PHLF) is a challenging complication after resection to treat hepatocellular carcinoma (HCC), and it is associated with high mortality. Preoperative prediction of PHLF may improve patient subsequent and reduce such mortality. This study examined whether a functional liver imaging score (FLIS) based on preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI) could predict PHLF. MATERIALS AND METHODS The study included 502 patients who underwent preoperative gadoxetic acid-enhanced MRI, followed by HCC resection. Significant preoperative predictors of PHLF were identified using logistic regression analysis. The ability of FLIS to predict PHLF was evaluated using receiver operating characteristic curves, and its predictive power was compared to that of the model for end-stage liver disease (MELD) score, albumin-bilirubin (ALBI) score, and indocyanine green 15-min retention rate (ICG-R15). RESULTS In multivariate analysis, PHLF was independently associated with FLIS (OR 0.452, 95% CI 0.361 to 0.568, p < 0.001) and major resection (OR 1.898, 95% CI 1.057 to 3.408, p = 0.032). FLIS was associated with a higher area under the receiver operating characteristic curve (0.752) than the MELD score (0.557), ALBI score (0.609), or ICG-R15 (0.605) (all p < 0.05). Patients with FLIS ≤ 4 who underwent major resection were at 9.4-fold higher risk of PHLF than patients with lower FLIS who underwent minor resection. CONCLUSION FLIS is an independent predictor of PHLF, and it may perform better than the MELD score, ALBI score, and ICG-R15 clearance. We propose treating elevated FLIS and major resection as risk factors for PHLF. KEY POINTS • A functional liver imaging score can independently predict posthepatectomy liver failure in patients with HCC. • The score may predict such failure better than MELD and ALBI scores and ICG-R15. • Patients with scores ≤ 4 who undergo major hepatic resection may be at nearly tenfold higher risk of posthepatectomy liver failure.
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Affiliation(s)
- Ningbin Luo
- Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xiangyang Huang
- Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Yinan Ji
- Department of Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Guanqiao Jin
- Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Yunying Qin
- Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Bangde Xiang
- Department of Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Danke Su
- Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China.
| | - Weizhong Tang
- Department of Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
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Abstract
Indocyanine green (ICG) is a fluorescent iodide-based dye which is used in hepatic surgery to evaluate the biliary tree, liver perfusion, and function. While liver perfusion assessment and delineation of anatomic regions has been performed using ultrasound, ischemic demarcation, or indigo carmine/methylene blue staining, ICG staining can overcome limitations associated with these techniques, such as rapid washout, lack of precision, non-demarcation in damaged livers, and lack of intraparenchymal fidelity. ICG can be used to fluoresce target segments/tumors (Positive staining) or counterstain normal liver tissue leaving areas of interest unstained (negative staining). Moreover, ICG enhancement patterns vary for different tumors, such as colorectal liver metastases vs. hepatocellular carcinoma, providing not only help with detection but also assessment of differentiation. In the field of oncology, benefits of ICG include detection of small radiographically occult tumors, distinction between cirrhotic nodules and cancer, identification of necrotic tumors in chemotherapy-damaged livers, and determining margins when intraoperative ultrasound is inadequate. While ICG has important and expanding indications in hepatic surgery, limitations include small depth of penetrance, need for special monitors/equipment, and potential for dye spillage. ICG is well tolerated, has a small learning curve, minimally invasive surgical integration, and options of both portal vein and peripheral vein injection and hence is a safe and versatile method of anatomic liver mapping, tumor visualization, and liver graft perfusion evaluation in oncologic surgery and liver transplantation. Advancements in technique and technology associated with ICG will aid in increasing the indications in hepato-biliary surgery.
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Affiliation(s)
- Omid Salehi
- Department of Surgery, St. Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Vera Kazakova
- Department of Medicine, St. Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Eduardo A Vega
- Department of Surgery, St. Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Claudius Conrad
- Department of Surgery, St. Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA, USA -
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Marasco G, Alemanni LV, Colecchia A, Festi D, Bazzoli F, Mazzella G, Montagnani M, Azzaroli F. Prognostic Value of the Albumin-Bilirubin Grade for the Prediction of Post-Hepatectomy Liver Failure: A Systematic Review and Meta-Analysis. J Clin Med 2021; 10:2011. [PMID: 34066674 PMCID: PMC8125808 DOI: 10.3390/jcm10092011] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/15/2021] [Accepted: 04/29/2021] [Indexed: 02/06/2023] Open
Abstract
(1) Introduction: Liver resection (LR) for hepatocellular carcinoma (HCC) is often burdened by life-threatening complications, such as post-hepatectomy liver failure (PHLF). The albumin-bilirubin (ALBI) score can accurately evaluate liver function and the long-term prognosis of HCC patients, including PHLF. We aimed to evaluate the diagnostic value of the ALBI grade in predicting PHLF in HCC patients undergoing LR. (2) Methods: MEDLINE, Embase, and Scopus were searched through January 17th, 2021. Studies reporting the ALBI grade and PHLF occurrence in HCC patients undergoing LR were included. The Odds Ratio (OR) prevalence with 95% confidence intervals (CI) was pooled, and the heterogeneity was expressed as I2. The quality of the studies was assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). (3) Results: Seven studies met the inclusion criteria and were included in the analysis. A total of 5377 patients who underwent LR for HCC were considered, of whom 718 (13.4%) developed PHLF. Patients with ALBI grades 2 and 3 before LR showed increased rates of PHLF compared to ALBI grade 1 patients. The pooled OR was 2.572 (95% CI, 1.825 to 3.626, p < 0.001), with substantial heterogeneity between the studies (I2 = 69.6%) and no publication bias (Begg's p = 0.764 and Egger's p = 0.851 tests). All studies were at a 'low risk' or 'unclear risk' of bias. Univariate meta-regression analysis showed that heterogeneity was not dependent on the country of study, the age and sex of the participants, the definition of PHLF used, the rate of patients in Child-Pugh class A or undergoing major hepatectomy. (4) Conclusions: In this meta-analysis of published studies, individuals with ALBI grades of 2 and 3 showed increased rates of PHLF compared to ALBI grade 1 patients.
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Affiliation(s)
- Giovanni Marasco
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Luigina Vanessa Alemanni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Antonio Colecchia
- Gastroenterology Unit, University Hospital Borgo Trento, 37100 Verona, Italy;
| | - Davide Festi
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Franco Bazzoli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Giuseppe Mazzella
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Marco Montagnani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Francesco Azzaroli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
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10
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Chen Y, Liu Z, Mo Y, Li B, Zhou Q, Peng S, Li S, Kuang M. Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model. Front Oncol 2021; 11:605296. [PMID: 33777748 PMCID: PMC7987905 DOI: 10.3389/fonc.2021.605296] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/18/2021] [Indexed: 12/12/2022] Open
Abstract
Objectives: Preoperative prediction of post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) is significant for developing appropriate treatment strategies. We aimed to establish a radiomics-based clinical model for preoperative prediction of PHLF in HCC patients using gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI). Methods: A total of 144 HCC patients from two medical centers were included, with 111 patients as the training cohort and 33 patients as the test cohort, respectively. Radiomics features and clinical variables were selected to construct a radiomics model and a clinical model, respectively. A combined logistic regression model, the liver failure (LF) model that incorporated the developed radiomics signature and clinical risk factors was then constructed. The performance of these models was evaluated and compared by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC) with 95% confidence interval (CI). Results: The radiomics model showed a higher AUC than the clinical model in the training cohort and the test cohort for predicting PHLF in HCC patients. Moreover, the LF model had the highest AUCs in both cohorts [0.956 (95% CI: 0.955–0.962) and 0.844 (95% CI: 0.833–0.886), respectively], compared with the radiomics model and the clinical model. Conclusions: We evaluated quantitative radiomics features from MRI images and presented an externally validated radiomics-based clinical model, the LF model for the prediction of PHLF in HCC patients, which could assist clinicians in making treatment strategies before surgery.
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Affiliation(s)
- Yuyan Chen
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zelong Liu
- Division of Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yunxian Mo
- State Key Laboratory of Oncology in South China, Department of Radiology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bin Li
- Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qian Zhou
- Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Sui Peng
- Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shaoqiang Li
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ming Kuang
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Division of Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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11
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Mole DJ, Fallowfield JA, Sherif AE, Kendall T, Semple S, Kelly M, Ridgway G, Connell JJ, McGonigle J, Banerjee R, Brady JM, Zheng X, Hughes M, Neyton L, McClintock J, Tucker G, Nailon H, Patel D, Wackett A, Steven M, Welsh F, Rees M. Quantitative magnetic resonance imaging predicts individual future liver performance after liver resection for cancer. PLoS One 2020; 15:e0238568. [PMID: 33264327 PMCID: PMC7710097 DOI: 10.1371/journal.pone.0238568] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 08/19/2020] [Indexed: 12/12/2022] Open
Abstract
The risk of poor post-operative outcome and the benefits of surgical resection as a curative therapy require careful assessment by the clinical care team for patients with primary and secondary liver cancer. Advances in surgical techniques have improved patient outcomes but identifying which individual patients are at greatest risk of poor post-operative liver performance remains a challenge. Here we report results from a multicentre observational clinical trial (ClinicalTrials.gov NCT03213314) which aimed to inform personalised pre-operative risk assessment in liver cancer surgery by evaluating liver health using quantitative multiparametric magnetic resonance imaging (MRI). We combined estimation of future liver remnant (FLR) volume with corrected T1 (cT1) of the liver parenchyma as a representation of liver health in 143 patients prior to treatment. Patients with an elevated preoperative liver cT1, indicative of fibroinflammation, had a longer post-operative hospital stay compared to those with a cT1 within the normal range (6.5 vs 5 days; p = 0.0053). A composite score combining FLR and cT1 predicted poor liver performance in the 5 days immediately following surgery (AUROC = 0.78). Furthermore, this composite score correlated with the regenerative performance of the liver in the 3 months following resection. This study highlights the utility of quantitative MRI for identifying patients at increased risk of poor post-operative liver performance and a longer stay in hospital. This approach has the potential to inform the assessment of individualised patient risk as part of the clinical decision-making process for liver cancer surgery.
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Affiliation(s)
- Damian J. Mole
- Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh, United Kingdom
| | - Jonathan A. Fallowfield
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh, United Kingdom
| | - Ahmed E. Sherif
- Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom
- Department of HPB Surgery, National Liver Institute, Menoufia University, Shibin Elkom, Egypt
| | - Timothy Kendall
- Institute of Genetics and Molecular Medicine, Edinburgh, United Kingdom
- Department of Pathology, NHS Lothian, Edinburgh, United Kingdom
| | - Scott Semple
- Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Matt Kelly
- Perspectum, Gemini One, Oxford, United Kingdom
| | | | | | | | | | | | - Xiaozhong Zheng
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh, United Kingdom
| | - Michael Hughes
- Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom
| | - Lucile Neyton
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh, United Kingdom
| | | | - Garry Tucker
- Clinical Research Facility, NHS Lothian, Edinburgh, United Kingdom
| | - Hilary Nailon
- Clinical Research Facility, NHS Lothian, Edinburgh, United Kingdom
| | - Dilip Patel
- Clinical Radiology, NHS Lothian, Edinburgh, United Kingdom
| | | | | | - Fenella Welsh
- Hampshire Hospitals Foundation Trust, Basingstoke, United Kingdom
| | - Myrddin Rees
- Hampshire Hospitals Foundation Trust, Basingstoke, United Kingdom
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12
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Kondo H, Nakamura R, Kobatake A, Nao Y, Hashimoto K, Nakatani K. Effects of intravenous injection of indocyanine green on the oxygen reserve index (ORi™). J Anesth 2020; 34:338-41. [PMID: 32078044 DOI: 10.1007/s00540-020-02746-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 02/10/2020] [Indexed: 10/25/2022]
Abstract
PURPOSE The oxygen reserve index (ORi™) is a parameter used for the noninvasive evaluation of arterial partial pressure of oxygen (PaO2), specifically in the 100-200 mmHg range. We aimed to report on the impact of indocyanine green (ICG) on the ORi™. METHODS In this study, we retrospectively examined patients who underwent neurosurgery between April and July 2019 and assessed the impact of ICG on ORi™. We excluded patients who did not use ICG or who were not examined for ORi™. The dose and timing of ICG administration were determined by a neurosurgeon. The changes in ORi™ were measured for up to 30 min. RESULTS We analyzed ten patients and found that the ORi™ increased to 1.00 in all of them. The median time for ORi ™ to rise to 1.00 after ICG administration was 2 min (range 1-4). After rising to 1.00, ORi ™ decreased and took 27 min to return to the pre-dose value. CONCLUSION It is important to consider the initial rapid increase and subsequent slow decrease in ORi™ when using ICG during surgery.
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13
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Yi H, Cai B, Ai X, Liu R, Li K, Zhang W. Value of contrast-enhanced ultrasound for preoperative assessment of liver reserve function in patients with liver tumors. PLoS One 2019; 14:e0222514. [PMID: 31527916 PMCID: PMC6748425 DOI: 10.1371/journal.pone.0222514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 09/02/2019] [Indexed: 12/15/2022] Open
Abstract
This study aimed to investigate the value of contrast-enhanced ultrasound (CEUS) for preoperative assessment of liver reserve function in patients with liver tumors. The indocyanine green (ICG) clearance tests and CEUS examinations of 45 noncirrhotic patients with liver tumors were performed prior to liver resection. Parameters time to peak (TtoPk), arrival time (Atm) as well as perfusion parameters A, k and A x k were generated from time-intensity curve (TIC) of CEUS. The correlation analyses of the ICG clearance per unit time (ICGK) and the retention rate at 15 min (ICGR15) with TtoPk, Atm, A, k and A x k were performed, and the diagnostic ability as well as optimal cut-off values of TtoPk and Atm for differentiating patients with ICGR15>10% from ICGR15<10% were analyzed. There were significant correlations of ICGK with TtoPk and Atm, and the correlation coefficients were 0.363 (p = 0.014) and -0.482 (p = 0.001), respectively. Significant correlations of ICGR15 with TtoPk and Atm were revealed, and the correlation coefficients were -0.416 (p = 0.004) and 0.303 (p = 0.043), respectively. No correlation of ICGK or ICGR15 with A, k and A x k was found in this study. There were significant differences in TtoPk and Atm between patients with ICGR15>10% and ICGR15<10% (p = 0.028 and p = 0.026, respectively). TtoPk and Atm both had good diagnostic abilities in diagnosing patients with ICGR15>10% verusus ICGR15<10% (AUROC = 0.711 and 0.721, respectively). For ICGR15>10% vs ICGR15, the optimal cut-off values of TtoPk and Atm were 13.307 s and 11.007 s, respectively, while the sensitivity and specificity were 75.0% and 72.7%, 60.6% and 75.0%, respectively. This study revealed that CEUS has the potential to be a new method to evaluate the liver reserve function of patients. With the optimal cut-off values of TtoPk and Atm, qualitative assessment of patients with ICGR15>10% could be more easily achieved by CEUS with good diagnostic abilities.
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Affiliation(s)
- Huiming Yi
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China
| | - Baohuan Cai
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China
| | - Xi Ai
- Department of Hepatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China
| | - Ruobing Liu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China
| | - Kaiyan Li
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China
| | - Wei Zhang
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, China
- * E-mail:
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