Evidence map›Paper›PMID 40813506›Full record

ArticleEuropean radiology2026

Preoperative prediction model of microvascular invasion in intrahepatic cholangiocarcinoma patients based on CT radiomics can assist clinical surgical decision-making: a multicenter study.

Ziwei Liu, Haixiong Chen, Shaomin Yang, Rong Zhang, Fan Yang, Jieying Feng, Ke Xu, Zhilin Tan, Yanqiu Feng, Fusheng Ouyang and 8 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Ziwei Liu *Department of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Haixiong Chen *Department of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Shaomin Yang *Xingtan Hospital Affiliated of Southern Medical University Shunde Hospital, Shunde, China.
Rong Zhang *Department of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Fan YangThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jieying FengDepartment of Radiology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, China.
Ke XuDepartment of Medical Imaging, Guizhou Provincial People's Hospital, Guiyang, China.
Zhilin TanDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Yanqiu FengDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Fusheng OuyangDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Xiaohong LiDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Xinjie ChenDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Yifan ChenDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Zhiping CaiDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Xingqun GuanDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China.
Chun LuoDepartment of Radiology, The First People's Hospital of Foshan, Foshan, China. lcalzw@163.com.
Baoliang GuoDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China. tomcatccks@163.com.
Qiugen HuDepartment of Radiology, The Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Shunde, China. hu6009@163.com.ORCID http://orcid.org/0000-0002-4642-9131

Funding

Administration of Traditional Chinese Medicine of Guangdong Province of China 20241312Guangdong Medical Science and Technology Research Fund A2023204Guangdong Medical Science and Technology Research Fund A2024022Guangdong Province Key Research Projects in Key Areas for General Colleges and Universities 2024ZDZX2029Scientific Research Start Plan of Shunde Hospital, Southern Medical University SRSP2023008the science and technology planning project of Foshan 2220001003813the science and technology planning project of Foshan 2320001006750
6 · The paper itself

Abstract

objectivesWe developed and validated a combined CT-based model to predict microvascular invasion (MVI) in patients with intrahepatic cholangiocarcinoma (ICC) for surgical resection decision-making. MATERIALS AND

methodsThis retrospective study included 292 patients with pathologically confirmed ICC between January 2012 and May 2023 at four institutions. The patients were divided into training (n = 141), test (n = 60), and external validation (n = 91) cohorts. The radiomics features were extracted from arterial and portal venous phases, and a combined model incorporating a CT radiomics signature and clinicoradiological features was developed and validated. The 2-year recurrence-free survival (RFS) of the MVI risk stratification was analyzed using the Kaplan-Meier method with a log-rank test and compared between anatomical and non-anatomical, or major and minor resections.

resultsThe combined model incorporating 20 radiomics features and 3 clinicoradiological features achieved areas under the curve of 0.938, 0.889, and 0.844 in the training, test, and external validation cohorts, respectively. In the high MVI risk group, the 2-year RFS was significantly higher in patients who underwent major hepatectomy than in those who underwent minor hepatectomy (log-rank p = 0.007), especially for tumors located subcapsularly (log-rank p = 0.005). In the low MVI risk group, the 2-year RFS was significantly lower in patients who underwent major hepatectomy than in those who underwent minor hepatectomy (log-rank p = 0.033), particularly for tumors ≤ 5 cm (log-rank p = 0.011).

conclusionsWe developed and validated a robust combined CT-based model that accurately identified the MVI status of ICC and assisted in surgical decision-making. KEY POINTS: Question An effective preoperative MVI prediction model for ICC patients should consider its implications for different surgical resection strategies. Findings We developed and validated a combined model integrating CT radiomics and clinicoradiological features to accurately identify preoperative MVI status for surgical guidance. Clinical relevance For ICC patients, minor hepatectomy is recommended for those with low-risk MVI, particularly for tumors ≤ 5 cm, while major hepatectomy is advised for those with high-risk MVI, especially for tumors located subcapsularly.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaClinical Decision-MakingMicrovesselsTomography, X-Ray ComputedAdultAgedFemaleHepatectomyHumansMaleMiddle AgedNeoplasm InvasivenessPreoperative CareRadiomicsRetrospective StudiesComputed tomographyHepatectomyIntrahepatic cholangiocarcinomaMicrovascular invasionRecurrence

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.