Preoperative prediction model for microvascular invasion in HBV-related intrahepatic cholangiocarcinoma

doi:10.1186/s12893-023-02139-8

科研成果详情

题名	Preoperative prediction model for microvascular invasion in HBV-related intrahepatic cholangiocarcinoma
作者	Yu, Liang 1; Dai, Mu-Gen 2; Lu, Wen-Feng 3; Wang, Dong-Dong 4; Ye, Tai-Wei 4; Xu, Fei-Qi 4; Liu, Si-Yu2,5; Liang, Lei 4; Feng, Du-Jin 6,7
发表日期	2023-08-17
发表期刊	BMC SURGERY 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Intrahepatic cholangiocarcinoma Microvascular invasion Prediction model Hepatitis B virus Preoperative
其他关键词	SURGICAL MARGIN STATUS ; LYMPH-NODE METASTASIS ; HEPATOCELLULAR-CARCINOMA ; RESECTION ; NOMOGRAM ; RISK ; SURVIVAL ; IMPACT
摘要	Background and aimsPreoperative prediction of microvascular invasion (MVI) using a noninvasive method remain unresolved, especially in HBV-related in intrahepatic cholangiocarcinoma (ICC). This study aimed to build and validate a preoperative prediction model for MVI in HBV-related ICC.MethodsPatients with HBV-associated ICC undergoing curative surgical resection were identified. Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors of MVI in the training cohort. Then, a prediction model was built by enrolling the independent risk factors. The predictive performance was validated by receiver operator characteristic curve (ROC) and calibration in the validation cohort.ResultsConsecutive 626 patients were identified and randomly divided into the training (418, 67%) and validation (208, 33%) cohorts. Multivariate analysis showed that TBIL, CA19-9, tumor size, tumor number, and preoperative image lymph node metastasis were independently associated with MVI. Then, a model was built by enrolling former fiver risk factors. In the validation cohort, the performance of this model showed good calibration. The area under the curve was 0.874 (95% CI: 0.765-0.894) and 0.729 (95%CI: 0.706-0.751) in the training and validation cohort, respectively. Decision curve analysis showed an obvious net benefit from the model.ConclusionBased on clinical data, an easy model was built for the preoperative prediction of MVI, which can assist clinicians in surgical decision-making and adjuvant therapy.
资助项目	General scientific research project of the Education Department of Zhejiang Province[No.Y201840617];Lishui Public welfare technology application research project[No. 2022GYX50];Zhejiang Provincial People's Hospital[No. ZRY2020A004];Health Commission of Zhejiang Province[No.2022KY532, No.2018KY261]
出版者	BMC
ISSN	1471-2482
EISSN	1471-2482
卷号	23 期号:1
DOI	10.1186/s12893-023-02139-8
页数	8
WOS类目	Surgery
WOS研究方向	Surgery
WOS记录号	WOS:001049484200003
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	37592274
SCOPUSEID	2-s2.0-85168267577
通讯作者地址	[Feng, Du-Jin]Department of Clinical Laboratory,Laboratory Medicine Center,Zhejiang Provincial People’s Hospital,Affiliated People’s Hospital,Hangzhou Medical College,Zhejiang,Hangzhou,310014,China
Scopus学科分类	Surgery
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/182278
专题	其他_附属第五医院（丽水市中心医院）
通讯作者	Feng, Du-Jin
作者单位	1.Department of Radiology,Cancer Center,Zhejiang Provincial People’s Hospital,Affiliated People’s Hospital,Hangzhou Medical College,Zhejiang,Hangzhou,China; 2.Department of Gastroenterology,The Fifth Affiliated Hospital of Wenzhou Medical University,Zhejiang,Lishui,China; 3.Department of Hepatobiliary Surgery,Eastern Hepatobiliary Surgery Hospital,Navy Medical University,Shanghai,China; 4.Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery,General Surgery,Cancer Center,Zhejiang Provincial People’s Hospital,Affiliated People’s Hospital,Hangzhou Medical College,Zhejiang,Hangzhou,China; 5.Department of Laboratory Medicine,The Key Laboratory of Imaging Diagnosis and Minimally Invasive Interventional Research of Zhejiang Province,Zhejiang University Lishui Hospital,Zhejiang,Lishui,China; 6.Department of Clinical Laboratory,Laboratory Medicine Center,Zhejiang Provincial People’s Hospital,Affiliated People’s Hospital,Hangzhou Medical College,Zhejiang,Hangzhou,310014,China; 7.Department of Laboratory Medicine Center,Zhejiang Center for Clinical Laboratories,Zhejiang Provincial People’s Hospital,Affiliated People’s Hospital,Hangzhou Medical College,Hangzhou,China
推荐引用方式 GB/T 7714	Yu, Liang,Dai, Mu-Gen,Lu, Wen-Feng,et al. Preoperative prediction model for microvascular invasion in HBV-related intrahepatic cholangiocarcinoma[J]. BMC SURGERY,2023,23(1).
APA	Yu, Liang., Dai, Mu-Gen., Lu, Wen-Feng., Wang, Dong-Dong., Ye, Tai-Wei., ... & Feng, Du-Jin. (2023). Preoperative prediction model for microvascular invasion in HBV-related intrahepatic cholangiocarcinoma. BMC SURGERY, 23(1).
MLA	Yu, Liang,et al."Preoperative prediction model for microvascular invasion in HBV-related intrahepatic cholangiocarcinoma".BMC SURGERY 23.1(2023).