Clinical Nomogram Model for Pre-Operative Prediction of Microvascular Invasion of Hepatocellular Carcinoma before Hepatectomy

被引:0
作者
Chen, Jen-Lung [1 ]
Chen, Yaw-Sen [1 ]
Hsieh, Kun-Chou [1 ]
Lee, Hui-Ming [1 ]
Chen, Chung-Yen [1 ]
Chen, Jian-Han [1 ]
Hung, Chao-Ming [2 ]
Hsu, Chao-Tien [3 ]
Huang, Ya-Ling [4 ]
Ker, Chen-Guo [1 ]
机构
[1] I Shou Univ, Eda Hosp, Dept Gen Surg, Kaohsiung 824, Taiwan
[2] I Shou Univ, Eda Canc Hosp, Dept Gen Surg, Kaohsiung 824, Taiwan
[3] I Shou Univ, Eda Hosp, Dept Pathol, Kaohsiung 824, Taiwan
[4] I Shou Univ, Ctr Generat Educ, Kaohsiung 824, Taiwan
来源
MEDICINA-LITHUANIA | 2024年 / 60卷 / 09期
关键词
hepatocellular carcinoma; microvascular invasion; recurrence; outcome; nomogram; RISK-FACTORS; LIVER-TRANSPLANTATION; RECURRENCE RISK; RESECTION; SURVIVAL; PATTERNS;
D O I
10.3390/medicina60091410
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and Objectives: Microvascular invasion (MVI) significantly impacts recurrence and survival rates after liver resection in hepatocellular carcinoma (HCC). Pre-operative prediction of MVI is crucial in determining the treatment strategy. This study aims to develop a nomogram model to predict the probability of MVI based on clinical features in HCC patients. Materials and Methods: A total of 489 patients with a pathological diagnosis of HCC were enrolled from our hospital. Those registered from 2012-2015 formed the derivation cohort, and those from 2016-2019 formed the validation cohort for pre-operative prediction of MVI. A nomogram model for prediction was created using a regression model, with risk factors derived from clinical and tumor-related features before surgery. Results: Using the nomogram model to predict the odds ratio of MVI before hepatectomy, the AFP, platelet count, GOT/GPT ratio, albumin-alkaline phosphatase ratio, ALBI score, and GNRI were identified as significant variables for predicting MVI. The Youden index scores for each risk variable were 0.287, 0.276, 0.196, 0.185, 0.115, and 0.112, respectively, for the AFP, platelet count, GOT/GPT ratio, AAR, ALBI, and GNRI. The maximum value of the total nomogram scores was 220. An increase in the number of nomogram points indicated a higher probability of MVI occurrence. The accuracy rates ranged from 55.9% to 64.4%, and precision rates ranged from 54.3% to 68.2%. Overall survival rates were 97.6%, 83.4%, and 73.9% for MVI(-) and 80.0%, 71.8%, and 41.2% for MVI(+) (p < 0.001). The prognostic effects of MVI(+) on tumor-free survival and overall survival were poor in both the derivation and validation cohorts. Conclusions: Our nomogram model, which integrates clinical factors, showed reliable calibration for predicting MVI and provides a useful tool enabling surgeons to estimate the probability of MVI before resection. Consequently, surgical strategies and post-operative care programs can be adapted to improve the prognosis of HCC patients where possible.
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页数:14
相关论文
共 57 条
[21]   Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model [J].
Lei, Yan ;
Feng, Bao ;
Wan, Meiqi ;
Xu, Kuncai ;
Cui, Jin ;
Ma, Changyi ;
Sun, Junqi ;
Yao, Changyin ;
Gan, Shiman ;
Shi, Jiangfeng ;
Cui, Enming .
ABDOMINAL RADIOLOGY, 2024, 49 (05) :1397-1410
[22]   Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus-Related Hepatocellular Carcinoma Within the Milan Criteria [J].
Lei, Zhengqing ;
Li, Jun ;
Wu, Dong ;
Xia, Yong ;
Wang, Qing ;
Si, Anfeng ;
Wang, Kui ;
Wan, Xuying ;
Lau, Wan Yee ;
Wu, Mengchao ;
Shen, Feng .
JAMA SURGERY, 2016, 151 (04) :356-363
[23]   A nomogram to predict microvascular invasion in early hepatocellular carcinoma [J].
Li, Hongguang ;
Li, Tao ;
Hu, Jinhua ;
Liu, Jun .
JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2021, 17 (03) :652-657
[24]  
Lin WD, 2023, EUR REV MED PHARMACO, V27, P2052, DOI 10.26355/eurrev_202303_31576
[25]   The Comparison of Surgical Margins and Type of Hepatic Resection for Hepatocellular Carcinoma With Microvascular Invasion [J].
Liu, Jianwei ;
Zhuang, Guokun ;
Bai, Shilei ;
Hu, Zhiliang ;
Xia, Yong ;
Lu, Caixia ;
Wang, Jie ;
Wang, Chunyan ;
Liu, Liu ;
Li, Fengwei ;
Wu, Yeye ;
Shen, Feng ;
Wang, Kui .
ONCOLOGIST, 2023, :E1043-E1051
[26]   Vessels that encapsulate tumour clusters vascular pattern in hepatocellular carcinoma [J].
Liu, Ken ;
Dennis, Claude ;
Prince, David S. ;
Marsh-Wakefield, Felix ;
Santhakumar, Cositha ;
Gamble, Jennifer R. ;
Strasser, Simone I. ;
McCaughan, Geoffrey W. .
JHEP REPORTS, 2023, 5 (08)
[27]   A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm [J].
Liu, Weiwei ;
Zhang, Lifan ;
Xin, Zhaodan ;
Zhang, Haili ;
You, Liting ;
Bai, Ling ;
Zhou, Juan ;
Ying, Binwu .
FRONTIERS IN ONCOLOGY, 2022, 12
[28]   A model based on adipose and muscle-related indicators evaluated by CT images for predicting microvascular invasion in HCC patients [J].
Mao, Xin-Cheng ;
Shi, Shuo ;
Yan, Lun-Jie ;
Wang, Han-Chao ;
Ding, Zi-Niu ;
Liu, Hui ;
Pan, Guo-Qiang ;
Zhang, Xiao ;
Han, Cheng-Long ;
Tian, Bao-Wen ;
Wang, Dong-Xu ;
Tan, Si-Yu ;
Dong, Zhao-Ru ;
Yan, Yu-Chuan ;
Li, Tao .
BIOMARKER RESEARCH, 2023, 11 (01)
[29]   Alpha-fetoprotein and tumour size are associated with microvascular invasion in explanted livers of patients undergoing transplantation with hepatocellular carcinoma [J].
McHugh, Patrick P. ;
Gilbert, Jeffrey ;
Vera, Santiago ;
Koch, Alvaro ;
Ranjan, Dinesh ;
Gedaly, Roberto .
HPB, 2010, 12 (01) :56-61
[30]   Portal vein invasion and intrahepatic micrometastasis in small hepatocellular carcinoma by gross type [J].
Nakashima, Y ;
Nakashima, O ;
Tanaka, M ;
Okuda, K ;
Nakashima, M ;
Kojiro, M .
HEPATOLOGY RESEARCH, 2003, 26 (02) :142-147