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Zhao QY, Liu SS, Fan MX. Prediction of early recurrence of hepatocellular carcinoma after resection based on Gd-EOB-DTPA enhanced magnetic resonance imaging: a preliminary study. J Gastrointest Oncol 2022; 13:792-801. [PMID: 35557582 PMCID: PMC9086065 DOI: 10.21037/jgo-22-224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/11/2022] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Early recurrence (ER) after radical resection of hepatocellular carcinoma (HCC) affects the prognosis of patients. Gadolinium ethoxybenzyl-diethylenetriaminepentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) can improve the detection rate of small HCC. This study innovatively introduces a new quantitative index combined with qualitative index to compare the differences in clinical and imaging characteristics between ER and non-ER groups and evaluate the feasibility of Gd-EOB-DTPA-enhanced MRI in predicting ER. METHODS A total of 68 patients with HCC confirmed by operation and pathology in the Shandong Cancer Hospital and Institute were included retrospectively. All participants were examined by Gd-EOB-DTPA-enhanced MRI within 3 weeks before surgery. Regular follow-up was performed every 2 months within 1 year after operation. Among them, 18 cases with new lesions were in ER group, and 50 cases without new lesions were in non-ER group. The clinical and imaging data of the 2 groups were collected, and the differences of clinical data and preoperative MRI signs between the ER group and non-ER group were compared. The predictive factors of ER after HCC were analyzed by multivariate logistic regression. RESULTS The quantitative parameter lesion-to-liver contrast enhancement ratio (LLCER) can predict the pathological grade of HCC (P=0.023). The results of univariate analysis between the ER group and non-ER group showed that there were significant differences in pathological grade (P=0.008), lesion morphology (P=0.011), peritumoral low signal intensity in hepatobiliary phase (HBP) (P<0.001), satellite nodules (P<0.001), and LLCER (P<0.001) between the 2 groups. Multivariate logistic regression analysis showed that HBP peritumoral low signal intensity [odds ratio (OR) =7.214, 95% confidence interval (CI): 1.230-42.312, P=0.029], satellite nodules (OR =9.198, 95% CI: 1.402-60.339, P=0.021), and parameter LLCER value (OR =0.906, 95% CI: 0.826-0.995, P=0.039) were independent predictors of ER of HCC after resection. CONCLUSIONS Preoperative Gd-EOB-DTPA enhanced MRI has important predictive value for early recurrence after radical resection of hepatocellular carcinoma.
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Affiliation(s)
- Qi-Yu Zhao
- Department of Radiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shi-Shun Liu
- Medical Imaging Department, Jinan Second People’s Hospital, Jinan, China
| | - Ming-Xin Fan
- Department of Radiology, The Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan, China
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Wang W, Wang F, Chen Q, Ouyang S, Iwamoto Y, Han X, Lin L, Hu H, Tong R, Chen YW. Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical Data. FRONTIERS IN RADIOLOGY 2022; 2:856460. [PMID: 37492657 PMCID: PMC10365106 DOI: 10.3389/fradi.2022.856460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/24/2022] [Indexed: 07/27/2023]
Abstract
Hepatocellular carcinoma (HCC) is a primary liver cancer that produces a high mortality rate. It is one of the most common malignancies worldwide, especially in Asia, Africa, and southern Europe. Although surgical resection is an effective treatment, patients with HCC are at risk of recurrence after surgery. Preoperative early recurrence prediction for patients with liver cancer can help physicians develop treatment plans and will enable physicians to guide patients in postoperative follow-up. However, the conventional clinical data based methods ignore the imaging information of patients. Certain studies have used radiomic models for early recurrence prediction in HCC patients with good results, and the medical images of patients have been shown to be effective in predicting the recurrence of HCC. In recent years, deep learning models have demonstrated the potential to outperform the radiomics-based models. In this paper, we propose a prediction model based on deep learning that contains intra-phase attention and inter-phase attention. Intra-phase attention focuses on important information of different channels and space in the same phase, whereas inter-phase attention focuses on important information between different phases. We also propose a fusion model to combine the image features with clinical data. Our experiment results prove that our fusion model has superior performance over the models that use clinical data only or the CT image only. Our model achieved a prediction accuracy of 81.2%, and the area under the curve was 0.869.
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Affiliation(s)
- Weibin Wang
- Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan
| | - Fang Wang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Qingqing Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Shuyi Ouyang
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
| | - Yutaro Iwamoto
- Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan
| | - Xianhua Han
- Graduate School of Information Science and Engineering, Yamaguchi University, Yamaguchi-shi, Japan
| | - Lanfen Lin
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Ruofeng Tong
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
- Zhejiang Lab, Research Center for Healthcare Data Science, Hangzhou, China
| | - Yen-Wei Chen
- Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
- Zhejiang Lab, Research Center for Healthcare Data Science, Hangzhou, China
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Feng J, Zhu R, Yin Y, Wang S, Zhou L, Lv F, Zhao D. Re-Recognizing the Cellular Origin of the Primary Epithelial Tumors of the Liver. J Hepatocell Carcinoma 2021; 8:1537-1563. [PMID: 34917552 PMCID: PMC8668194 DOI: 10.2147/jhc.s334935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/25/2021] [Indexed: 11/29/2022] Open
Abstract
The primary epithelial tumors of the liver (PETL) are composed of a series of heterogeneous tumors. Although the classification of PETLs has been updated several times by the World Health Organization, the cellular origins of some tumors in this family remain to be precisely depicted. In addition, certain tumors in different categories have similar histology, molecular phenotypes and biological characteristics, suggesting that they may have the same cellular origin. In this work, a narrative review method was adopted to review the relevant papers. By comparing the expression profiles of biomarkers of liver epithelium at different lineages and stages of differentiation, the cells-of-origin of some major members of the PETL family were reassessed. We propose that 1) hepatic adenomas, hepatocellular carcinomas (HCCs) and pure fetal hepatoblastomas (HBs) share the same spectrum in their cellular origin including the hepatocytic-committed progenitors (HCP) and their differentiated descendants. 2) Bile duct adenomas, peribiliary cysts and intrahepatic cholangiocellular carcinomas (ICCs) can share the same spectrum in their cellular origin including the cholangiocytic-committed progenitors (CCP) and their differentiated descendants. 3) The cells-of-origin of embryonal HBs include liver stem cells (LSCs), hepatoblasts, and transitional cells between them. Embryonal HB with small cell element, small cell undifferentiated HB and small cell neuroendocrine carcinoma of the liver can have the same or similar cells-of-origin from LSC. Embryonal HB lacking the small cell component of the LSC phenotype and presenting both hepatocytic and bile duct/ductule components may originate from actual hepatoblasts/hepatic progenitor cells (HPCs) as the combined HCC-ICC does. 4) Teratoid hepatoblastoma and mixed epithelial/mesenchymal HBs can be derived from the LSCs or even less committed extrahepatic pluripotent stem cell. 5) Many members of the PETLs family, including those derived from LSCs, hepatoblasts/HPCs, early HCPs and CCPs, have neuroendocrine potentiality. Except for those primary hepatic neuroendocrine tumor (PHNET) exhibit hepatocytic and/or cholangiocytic phenotypes, other PHNETs subtype may be derived from the descendants of LSC that differentiate towards the upper digestive tract, pancreas or other lineages.
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Affiliation(s)
- Jiliang Feng
- Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, Beijing, 100069, People’s Republic of China
- Correspondence: Jiliang Feng Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, No. 8, Xitoutiao, Youanmenwai Street, FengTai District, Beijing, 100069, People’s Republic of ChinaTel +86-10-83997342Fax +86-10-83997343 Email
| | - Ruidong Zhu
- General Surgical Center, Beijing You-An Hospital, Capital Medical University, Beijing, 100069, People’s Republic of China
| | - Yu Yin
- Department of Pathology, Anhui Medical University, Hefei, 230032, People’s Republic of China
| | - Shanshan Wang
- Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, Beijing, 100069, People’s Republic of China
| | - Lei Zhou
- Department of Pathology, First Affiliated Hospital of Bengbu Medical College/Bengbu Medical College, Bengbu, 233004, People’s Republic of China
| | - Fudong Lv
- Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, Beijing, 100069, People’s Republic of China
| | - Dawei Zhao
- Department of Medical Imaging, Capital Medical University, Beijing, 100069, People’s Republic of China
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Moon JY, Min JH, Kim YK, Cha D, Hwang JA, Ko SE, Choi SY, Yun EJ, Kim SW, Won HJ. Prognosis after Curative Resection of Single Hepatocellular Carcinoma with A Focus on LI-RADS Targetoid Appearance on Preoperative Gadoxetic Acid-Enhanced MRI. Korean J Radiol 2021; 22:1786-1796. [PMID: 34402243 PMCID: PMC8546127 DOI: 10.3348/kjr.2020.1428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 04/18/2021] [Accepted: 04/27/2021] [Indexed: 01/27/2023] Open
Abstract
Objective To evaluate the prognostic implications of preoperative magnetic resonance imaging (MRI) features of hepatocellular carcinoma (HCC) with a focus on those with targetoid appearance based on the Liver Imaging Reporting and Data System (LI-RADS), as well as known microvascular invasion (MVI) features. Materials and Methods This retrospective study included 242 patients (190 male; mean age, 57.1 years) who underwent surgical resection of a single HCC (≤ 5 cm) as well as preoperative gadoxetic acid-enhanced MRI between January 2012 and March 2015. LI-RADS category was assigned, and the LR-M category was further classified into two groups according to rim arterial-phase hyperenhancement (APHE). The imaging features associated with MVI were also assessed. The overall survival (OS), recurrence-free survival (RFS), and their associated factors were evaluated. Results Among the 242 HCCs, 190 (78.5%), 25 (10.3%), and 27 (11.2%) were classified as LR-4/5, LR-M with rim APHE, and LR-M without rim APHE, respectively. LR-M with rim APHE (vs. LR-4/5; hazard ratio [HR] for OS, 5.48 [p = 0.002]; HR for RFS, 2.09 [p = 0.042]) and tumor size (per cm increase; HR for OS, 6.04 [p = 0.009]; HR for RFS, 1.77 [p = 0.014]) but not MVI imaging features (p > 0.05) were independent factors associated with OS and RFS. Compared to the 5-year OS and RFS rates in the LR-4/5 group (93.9% and 66.8%, respectively), the LR-M with rim APHE group had significantly lower rates (68.0% and 45.8%, respectively, both p < 0.05), while the LR-M without rim APHE group did not significantly differ in the survival rates (91.3% and 80.2%, respectively, both p > 0.05). Conclusion Further classification of LR-M according to the presence of rim APHE may help predict the postoperative prognosis of patients with a single HCC.
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Affiliation(s)
- Ji Yoon Moon
- Department of Radiology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Ji Hye Min
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Donglk Cha
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeong Ah Hwang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seong Eun Ko
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seo Youn Choi
- Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Korea
| | - Eun Joo Yun
- Department of Radiology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Seon Woo Kim
- Biostatics and Clinical Epidemiology Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Ho Jeong Won
- Biostatics and Clinical Epidemiology Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
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Extrapolating Prognostic Factors of Primary Curative Resection to Postresection Recurrences Hepatocellular Carcinoma Treatable by Radiofrequency Ablation. Gastroenterol Res Pract 2021; 2021:8878417. [PMID: 33488700 PMCID: PMC7801068 DOI: 10.1155/2021/8878417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 12/13/2020] [Accepted: 12/16/2020] [Indexed: 11/23/2022] Open
Abstract
Objective Recurrence after curative resection for hepatocellular carcinoma (HCC) is a major cause of death from this disease. Factors of primary curative resection are available and potential in the prognosis of follow-up treatment. Our aim was to assess the prognostic significance of primary curative resection factors in recurrent HCC patients undergoing radiofrequency ablation therapy (RFA). Methods In this retrospective study, we assessed 235 patients who underwent limited RFA of HCC recurrences (tumors ≤ 5 cm; nodules ≤ 3) after primary curative resection. Factors of primary curative resection were collected, and overall survival and recurrence-free survival were evaluated by the Kaplan-Meier method. Univariate and multivariate analyses were used to identify significant prognostic factors. Results After a median follow-up of 36 months, 54 patients died, and 128 patients had hepatic recurrence. On univariate analyses, patients whose primary tumors were less differentiated (p = 0.032 and p = 0.048) and required less time to recur (p = 0.013 and p = 0.001) after curative resection displayed poorer overall survival and higher recurrence rates following RFA. On multivariate analyses, the pathologic tumor grade (p = 0.026 and p = 0.038) and recurrence-free survival after primary curative resection (p = 0.028 and p < 0.001) emerged as independent risk factors of survival and HCC recurrence. Conclusions Primary tumor differentiation and time to recurrence after curative resection are viable prognostic factors of overall survival and further recurrence risk in patients undergoing RFA of recurrent HCC.
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Zhao Y, Wu J, Zhang Q, Hua Z, Qi W, Wang N, Lin T, Sheng L, Cui D, Liu J, Song Q, Li X, Wu T, Guo Y, Cui J, Liu A. Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy. J Magn Reson Imaging 2020; 53:1066-1079. [PMID: 33217114 DOI: 10.1002/jmri.27424] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 10/16/2020] [Accepted: 10/16/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Preoperative prediction of early recurrence (ER) of hepatocellular carcinoma (HCC) plays a critical role in individualized risk stratification and further treatment guidance. PURPOSE To investigate the role of radiomics analysis based on multiparametric MRI (mpMRI) for predicting ER in HCC after partial hepatectomy. STUDY TYPE Retrospective. POPULATION In all, 113 HCC patients (ER, n = 58 vs. non-ER, n = 55), divided into training (n = 78) and validation (n = 35) cohorts. FIELD STRENGTH/SEQUENCE 1.5T or 3.0T, gradient-recalled-echo in-phase T1 -weighted imaging (I-T1 WI) and opposed-phase T1 WI (O-T1 WI), fast spin-echo T2 -weighted imaging (T2 WI), spin-echo planar diffusion-weighted imaging (DWI), and gradient-recalled-echo contrast-enhanced MRI (CE-MRI). ASSESSMENT In all, 1146 radiomics features were extracted from each image sequence, and radiomics models based on each sequence and their combination were established via multivariate logistic regression analysis. The clinicopathologic-radiologic (CPR) model and the combined model integrating the radiomics score with the CPR risk factors were constructed. A nomogram based on the combined model was established. STATISTICAL TESTS Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative performance of each model. The potential clinical usefulness was evaluated by decision curve analysis (DCA). RESULTS The radiomics model based on I-T1 WI, O-T1 WI, T2 WI, and CE-MRI sequences presented the best performance among all radiomics models with an area under the ROC curve (AUC) of 0.771 (95% confidence interval (CI): 0.598-0.894) in the validation cohort. The combined nomogram (AUC: 0.873; 95% CI: 0.756-0.989) outperformed the radiomics model and the CPR model (AUC: 0.742; 95% CI: 0.577-0.907). DCA demonstrated that the combined nomogram was clinically useful. DATA CONCLUSION The mpMRI-based radiomics analysis has potential to predict ER of HCC patients after hepatectomy, which could enhance risk stratification and provide support for individualized treatment planning. EVIDENCE LEVEL 4. TECHNICAL EFFICACY Stage 4.
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Affiliation(s)
- Ying Zhao
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Jingjun Wu
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Qinhe Zhang
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Zhengyu Hua
- Department of Pathology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Wenjing Qi
- Department of Pathology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Nan Wang
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Tao Lin
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Liuji Sheng
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Dahua Cui
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Jinghong Liu
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Qingwei Song
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Xin Li
- GE Healthcare (China), Shanghai, China
| | | | - Yan Guo
- GE Healthcare (China), Shanghai, China
| | | | - Ailian Liu
- Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
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Liver stiffness measured by MR elastography is a predictor of early HCC recurrence after treatment. Eur Radiol 2020; 30:4182-4192. [PMID: 32189053 DOI: 10.1007/s00330-020-06792-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 02/26/2020] [Accepted: 03/05/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Magnetic resonance elastography (MRE) is a non-invasive tool for measuring liver stiffness (LS) with high diagnostic accuracy. This study investigated whether quantified LS by MRE could predict early recurrence of patients with hepatocellular carcinoma (HCC) within the Milan criteria. METHODS A prospectively collected cohort, which included the HCC patients who underwent MRE before treatment (an HCC-MRE cohort), was analyzed. In the HCC-MRE cohort, only patients under the Milan criteria, who underwent hepatic resection, radiofrequency ablation (RFA), or transarterial chemoembolization (TACE), were reviewed. We investigated whether LS assessed by MRE was an independent predictor of early recurrence using Cox regressions and Kaplan-Meier analyses. RESULTS A total of 192 HCC patients under the Milan criteria who underwent hepatic resection (n = 96), RFA (n = 23), or TACE (n = 73) were included. Higher LS ratings (kPa; hazard ratio [HR] = 1.12; 95% confidence interval [CI] = 1.01-1.25; p = 0.040) emerged as an independent risk factor for early tumor recurrence. In the subgroup analysis, higher LS ratings were associated with higher risks of early HCC recurrence in both the resection/RFA group (> 4.5 kPa; HR = 2.95; 95% CI = 1.26-6.94; p = 0.013) and the TACE group (> 6 kPa; HR = 2.94; 95% CI = 1.27-6.83; p = 0.012). CONCLUSION LS assessed by MRE was an independent predictor of early recurrence among HCC patients under the Milan criteria after achieving a complete response. KEY POINTS • Liver parenchymal stiffness measured by MRE predicts early recurrence of treated HCC under Milan criteria. • A liver stiffness > 5.5 kPa was associated with worse recurrence-free survival. • Patients with high pre-treatment LS may benefit from stringent follow-up.
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Feng J, Zhu R, Feng D, Yu L, Zhao D, Wu J, Yuan C, Chen J, Zhang Y, Zheng X. Prediction of Early Recurrence of Solitary Hepatocellular Carcinoma after Orthotopic Liver Transplantation. Sci Rep 2019; 9:15855. [PMID: 31676847 PMCID: PMC6825189 DOI: 10.1038/s41598-019-52427-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 10/17/2019] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinomas(HCC) consisted of heterogeneous subtypes with different recurrence probabilities after liver transplantation(LT). Our study aimed to develop an improved model for predicting the recurrence of solitary HCC after LT. In this retrospective study, 151 solitary HCC patients who received orthotopic LT over a period of 10 consecutive years were included. All recipients received graft from deceased donors. The first eligible 50 patients were used as validation cohort and others were utilized to construct the model. A two-tailed P < 0.05 was considered to indicate statistical significance for all analysis. Based on the maximisation of the Youden’s index, the optimal cutoff values for alpha-fetoprotein(AFP) and tumor diameter were 261.6 ng/mL and 3.6 cm, respectively. Vascular involvement includes gross and microscopic vascular invasion. Variables potentially affecting recurrence-free survival(RFS) were examined using univariate and multivariate Cox regression analysis. Univariate and multivariate analysis revealed that AFP, tumor diameter, vascular invasion and cytokeratin-19/glypican-3 sub-typing were independent prognostic factors for RFS, thus comprised the risk scoring model. The AUC values of the model in the cohorts were significantly higher than that of the Milan, UCSF, Fudan and Hangzhou criteria. These findings suggest the model has high performance in predicting early recurrence of solitary HCC patients after LT.
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Affiliation(s)
- Jiliang Feng
- Clinical-Pathology Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Ruidong Zhu
- General Surgical Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Dezhao Feng
- Vantage College, University of British Columbia, Vancouver, Canada
| | - Lu Yu
- Clinical-Pathology Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Dawei Zhao
- Medical Imaging Department, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jushan Wu
- General Surgical Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Chunwang Yuan
- Department of Interventional Therapy, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Junmei Chen
- Medical Laboratory Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yan Zhang
- Clinical-Pathology Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xiu Zheng
- Clinical-Pathology Center, Bejing You-An Hospital, Capital Medical University, Beijing, People's Republic of China
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9
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Ng KK, Cheung TT, Pang HH, Wong TC, Dai JW, Ma KW, She WH, Kotewall CN, Lo CM. A simplified prediction model for early intrahepatic recurrence after hepatectomy for patients with unilobar hepatocellular carcinoma without macroscopic vascular invasion: An implication for adjuvant therapy and postoperative surveillance. Surg Oncol 2019; 30:6-12. [PMID: 31500787 DOI: 10.1016/j.suronc.2019.05.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 05/03/2019] [Accepted: 05/18/2019] [Indexed: 01/27/2023]
Abstract
BACKGROUND An accurate prediction model of early recurrence of hepatocellular carcinoma (HCC) after hepatectomy is important to ascertain the postoperative adjuvant treatment and surveillance. METHODS This is a retrospective cohort study including 1125 patients with HCC underwent curative hepatic resection. They were randomly divided into training (n = 562) and validation (n = 563) sets. Early intrahepatic recurrence within 18 months from surgery is the primary outcome. In the training set, a prediction scoring model (Recurrent Liver Cancer Score RLCS) was developed, which was legitimised in the validation set. RESULTS RLCS was developed based on four clinicopathologic risk factors (serum alpha fetoprotein, tumor size, multiple tumors or satellite nodules, and microvascular invasion). Low-risk and high-risk groups had statistically significant differences in early recurrence rates (18% vs. 43.8%). The 5-year recurrence-free survival rates of low risk and high risk groups were 52.9% and 27.8%, respectively. This model showed good calibration and discriminatory ability in the validation set (c-index of 0.647). CONCLUSION RLCS is a user-friendly prediction scoring model which can accurately predict the occurrence of early intrahepatic recurrence of HCC. It establishes the basis of postoperative adjuvant treatment and surveillance in future studies.
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Affiliation(s)
- Kelvin K Ng
- Department of Surgery, The University of Hong Kong, Hong Kong.
| | - Tan-To Cheung
- Department of Surgery, The University of Hong Kong, Hong Kong; State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong
| | - Herbert H Pang
- School of Public Health, The University of Hong Kong, Hong Kong
| | - Tiffany C Wong
- Department of Surgery, The University of Hong Kong, Hong Kong; State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong
| | - Jeff W Dai
- Department of Surgery, The University of Hong Kong, Hong Kong
| | - Ka-Wing Ma
- Department of Surgery, The University of Hong Kong, Hong Kong
| | - Wong-Hoi She
- Department of Surgery, The University of Hong Kong, Hong Kong
| | | | - Chung-Mau Lo
- Department of Surgery, The University of Hong Kong, Hong Kong; State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong
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10
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Wu JS, Feng JL, Zhu RD, Liu SG, Zhao DW, Li N. Histopathological characteristics of needle core biopsy and surgical specimens from patients with solitary hepatocellular carcinoma or intrahepatic cholangiocarcinoma. World J Gastrointest Oncol 2019; 11:404-415. [PMID: 31139310 PMCID: PMC6522762 DOI: 10.4251/wjgo.v11.i5.404] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/29/2019] [Accepted: 04/19/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Pathological manifestations of hepatic tumours are often associated with prognosis. Although surgical specimens (SS) can provide more information, currently, pre-treatment needle core biopsy (NCB) is increasingly showing important value in understanding the nature of liver tumors and even in diagnosis and treatment decisions. However, the concordance of the clinicopathological characteristics and immunohistochemical (IHC) staining between NCB and SS from patients with hepatic tumours were less concerned.
AIM To introduce a more accurate method for interpreting the IHC staining results in order to improve the diagnostic value of hepatic malignancy in NCB samples.
METHOD A total of 208 patients who underwent both preoperative NCB and surgical resection for hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICC) between 2008 and 2015 were enrolled in this study. The expression of CK19, GPC3, and HepPar1 were detected by IHC staining. Clinicopathological, NCB, and surgical data were collected and analysed using χ2 and kappa statistics.
RESULTS Morphologically, the presence of compact tumour nests or a cord-like structure in NCB was considered the primary cause of misdiagnosis of HCC from ICC. The kappa statistic showed a moderate agreement in histomorphology (k = 0.504) and histological grade (k = 0.488) between NCB and SS of the tumours. A 4-tier (+++, ++, +, and -) scoring scheme that emphasized the focal neoplastic cell immunoreactivity of tumour cells revealed perfect concordance of CK19, GPC3 and HepPar1 between NCB and SS (k = 0.717; k = 0.768; k = 0.633). Furthermore, with the aid of a binary classification derived from the 4-tier score, a high concordance was achieved in interpreting the IHC staining of the three markers between NCB and final SS (k = 0.931; k = 0.907; k = 0.803), increasing the accuracy of NCB diagnosis C (k = 0.987; area under the curve = 0.997, 95%CI: 0.990-1.000; P < 0.001).
CONCLUSION These findings imply that reasonable interpretation of IHC results in NCB is vital for improving the accuracy of tumour diagnosis. The simplified binary classification provides an easy and applicable approach.
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Affiliation(s)
- Ju-Shan Wu
- General Surgical Center, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Ji-Liang Feng
- Clinical-Pathology Center, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Rui-Dong Zhu
- General Surgical Center, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - San-Guang Liu
- Department of Hepatobiliary Surgery, the Second Hospital, Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Da-Wei Zhao
- Medical Imaging Department, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
| | - Ning Li
- General Surgical Center, Beijing You-An Hospital, Capital Medical University, Beijing 100069, China
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Pang G, Duan Z, Shao C, Zhao F, Zhong H, Shao G. Heterogeneity analysis of triphasic CT scan perfusion parameters in differential diagnosis of hepatocellular carcinoma and hemangioma. Medicine (Baltimore) 2018; 97:e12512. [PMID: 30235766 PMCID: PMC6160147 DOI: 10.1097/md.0000000000012512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
This study is to investigate quantitative measures and heterogeneity of perfusion parameters in the differential diagnosis of hepatocellular carcinoma (HCC) and hemangioma.In total, 32 HCC and 44 hemangioma (types 1, 2, and 3) cases were included in this retrospective study. Hepatic artery coefficient (HAC), portal vein coefficient (PVC), and arterial enhancement fraction (AEF) were calculated. Tumor heterogeneity was analyzed. Perfusion parameters and corresponding percentiles were compared between the HCC and hemangioma (especially atypical hemangioma) cases, as well as between the substantial lesion part and surrounding normal tissue.The mean value, and the 10th, 50th, 75th, and 90th percentiles of PVC were significantly lower in the HCC cases than the types 1 and 2 hemangioma cases (P < .01). Moreover, the 90th percentile PVC in the HCC cases was also significantly lower than the type 3 hemangioma case (P < .01), while the mean value, and all the percentiles of AEF in the HCC cases were higher than the types 2 and 3 hemangioma cases (P < .01). The 10th percentile HAC in the HCC cases was higher than the type 2 hemangioma cases (P < .05). The mean value, and the 10th and 50th percentile HAC in the HCC cases were higher than the type 3 hemangioma case (P < .05). However, there was no statistically significant difference in HAC between the HCC and type 1 hemangioma cases (P > .05).Quantitative measurement of perfusion parameters and heterogeneity analysis show significance differences in the early detection and differential diagnosis of HCC and hemangioma cases, which might contribute to increasing the diagnostic accuracy.
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Affiliation(s)
- Guodong Pang
- Department of Radiology, The Second Hospital of Shandong University, Jinan
| | - Zuyun Duan
- Department of Radiology, The Second People's Hospital of Dongying, Dongying
| | - Chunchun Shao
- Department of Evidence-Based Medicine, The Second Hospital of Shandong University
| | - Fang Zhao
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Hai Zhong
- Department of Radiology, The Second Hospital of Shandong University, Jinan
| | - Guangrui Shao
- Department of Radiology, The Second Hospital of Shandong University, Jinan
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