Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis
Introduction: Microvascular invasion (MVI) of is generally considered to be an important prognostic factor for hepatocellular carcinoma (HCC) after operation, An accurate prediction of MVI before operation is helpful for clinical decision-making before operation. Material and methods: A retrospectiv...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | Annals of Hepatology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1665268120300740 |
| _version_ | 1830100668937928704 |
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| author | Yong Zhu He Kun He Rui Qin Huang Ze Liang Wang Shao Wei Ye Li Wen Liu Qi Jie Luo Ze Min Hu |
| author_facet | Yong Zhu He Kun He Rui Qin Huang Ze Liang Wang Shao Wei Ye Li Wen Liu Qi Jie Luo Ze Min Hu |
| author_sort | Yong Zhu He |
| collection | DOAJ |
| description | Introduction: Microvascular invasion (MVI) of is generally considered to be an important prognostic factor for hepatocellular carcinoma (HCC) after operation, An accurate prediction of MVI before operation is helpful for clinical decision-making before operation. Material and methods: A retrospective analysis of 227 cases of hepatocellular carcinoma patients after hepatectomy has been confirmed the pathological result whether there was MVI, and has been determined the independent risk factors of MVI. Based on these independent risk factors, we constructed a clinical scoring risk model for predicting MVI. Results: Among the 227 patients with HCC, 74 (34.6%) were MVI positive. Using receiver operating characteristic (ROC) curve and logistic regression model, we found that alpha-fetoprotein(AFP)≥158 ng/mL(odds ratio[OR] = 4.152,95% confidence interval [95%CI]:1.602∼10.760,p = 0.003), Des-γ-carboxy prothrombin (DCP)≥178mAU/mL(OR = 9.730,95%CI:3.392∼27.910,p < 0.001), circulating tumor cells (CTCs)≥3/3.2 ml(OR = 7.747,95%CI:3.019∼19.881,P < 0.001), maximum tumor diameter≥59 mm(OR = 3.467,95%CI:1.368∼8.669,p = 0.008) and tumor margin unsmoothness(OR = 0.235,95%CI:0.096∼0.573,p = 0.001) were independent risk factors for MVI, they predicted that the area under the curve of MVI was 0.752, 0.777, 0.857, 0.743 and 0.333, respectively. Based on these five independent risk factors, we constructed a clinical scoring risk model for predicting MVI. The model predicts that the area under the curve of MVI is 0.922, and its prevalence rate from 0 to 5 are 3.1%(1/32), 5.3%(4/76), 12.2%(5/41), 66.7%(20/30), 87.9%(29/33), 100%(15/15), respectively (P < 0.001). Conclusion: Based on AFP, DCP, CTC, maximum tumor diameter and tumor margin unsmoothness, we constructed a model to predict the risk of MVI clinical score, so as to make a more accurate individualized treatment plan before operation, which has important clinical significance and application prospect to improve the curative effect of HCC. |
| first_indexed | 2024-12-16T20:49:59Z |
| format | Article |
| id | doaj.art-9c228dd1b71849c2b51bfa5f9a41b471 |
| institution | Directory Open Access Journal |
| issn | 1665-2681 |
| language | English |
| last_indexed | 2024-12-16T20:49:59Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Annals of Hepatology |
| spelling | doaj.art-9c228dd1b71849c2b51bfa5f9a41b4712022-12-21T22:16:48ZengElsevierAnnals of Hepatology1665-26812020-11-01196654661Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysisYong Zhu He0Kun He1Rui Qin Huang2Ze Liang Wang3Shao Wei Ye4Li Wen Liu5Qi Jie Luo6Ze Min Hu7Department of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, China; Guangdong Medical University,Zhanjiang City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, China; Guangdong Medical University,Zhanjiang City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, China; Guangdong Medical University,Zhanjiang City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, ChinaDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-sen University, Zhongshan City, Guangdong Province, China; Corresponding author.Introduction: Microvascular invasion (MVI) of is generally considered to be an important prognostic factor for hepatocellular carcinoma (HCC) after operation, An accurate prediction of MVI before operation is helpful for clinical decision-making before operation. Material and methods: A retrospective analysis of 227 cases of hepatocellular carcinoma patients after hepatectomy has been confirmed the pathological result whether there was MVI, and has been determined the independent risk factors of MVI. Based on these independent risk factors, we constructed a clinical scoring risk model for predicting MVI. Results: Among the 227 patients with HCC, 74 (34.6%) were MVI positive. Using receiver operating characteristic (ROC) curve and logistic regression model, we found that alpha-fetoprotein(AFP)≥158 ng/mL(odds ratio[OR] = 4.152,95% confidence interval [95%CI]:1.602∼10.760,p = 0.003), Des-γ-carboxy prothrombin (DCP)≥178mAU/mL(OR = 9.730,95%CI:3.392∼27.910,p < 0.001), circulating tumor cells (CTCs)≥3/3.2 ml(OR = 7.747,95%CI:3.019∼19.881,P < 0.001), maximum tumor diameter≥59 mm(OR = 3.467,95%CI:1.368∼8.669,p = 0.008) and tumor margin unsmoothness(OR = 0.235,95%CI:0.096∼0.573,p = 0.001) were independent risk factors for MVI, they predicted that the area under the curve of MVI was 0.752, 0.777, 0.857, 0.743 and 0.333, respectively. Based on these five independent risk factors, we constructed a clinical scoring risk model for predicting MVI. The model predicts that the area under the curve of MVI is 0.922, and its prevalence rate from 0 to 5 are 3.1%(1/32), 5.3%(4/76), 12.2%(5/41), 66.7%(20/30), 87.9%(29/33), 100%(15/15), respectively (P < 0.001). Conclusion: Based on AFP, DCP, CTC, maximum tumor diameter and tumor margin unsmoothness, we constructed a model to predict the risk of MVI clinical score, so as to make a more accurate individualized treatment plan before operation, which has important clinical significance and application prospect to improve the curative effect of HCC.http://www.sciencedirect.com/science/article/pii/S1665268120300740Hepatocellular carcinomaMicrovascular invasionCirculating tumor cellsHepatectomy |
| spellingShingle | Yong Zhu He Kun He Rui Qin Huang Ze Liang Wang Shao Wei Ye Li Wen Liu Qi Jie Luo Ze Min Hu Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis Annals of Hepatology Hepatocellular carcinoma Microvascular invasion Circulating tumor cells Hepatectomy |
| title | Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis |
| title_full | Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis |
| title_fullStr | Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis |
| title_full_unstemmed | Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis |
| title_short | Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis |
| title_sort | preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion a single center retrospective analysis |
| topic | Hepatocellular carcinoma Microvascular invasion Circulating tumor cells Hepatectomy |
| url | http://www.sciencedirect.com/science/article/pii/S1665268120300740 |
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