Evidence map›Paper›PMID 31307551›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2019

Prediction for early recurrence of intrahepatic mass-forming cholangiocarcinoma: quantitative magnetic resonance imaging combined with prognostic immunohistochemical markers.

Li Zhao, Xiaohong Ma, Meng Liang, Dengfeng Li, Peiqing Ma, Sicong Wang, Zhiyuan Wu, Xinming Zhao

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  9. Postoperative Prognosis of Non-alcoholic Fatty Liver Disease-Associated Intrahepatic Cholangiocarcinoma: a Multi-center Propensity Score Matching Analysis.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Article
  10. Review
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  14. Machine learning radiomics can predict early liver recurrence after resection of intrahepatic cholangiocarcinoma.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2022
    Article
  15. Article
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  17. Review
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4 · The record

Corrections and comments

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

8 authors.

Li ZhaoDepartment of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Xiaohong MaDepartment of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. maxiaohong@cicams.ac.cn.
Meng LiangDepartment of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Dengfeng LiDepartment of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Peiqing MaDepartment of Pathology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Sicong WangDepartment of Pharmaceutical Diagnosis, GE Healthcare, Life Sciences, No.1 Tongji South Road, Beijing, 100176, China.
Zhiyuan WuState Key Laboratory of Molecular Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College , No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Xinming ZhaoDepartment of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and PekingUnion Medical College, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. zhaoxinming@cicams.ac.cn.ORCID http://orcid.org/0000-0001-7286-771X

Funding

Beijing Hope Run Special Fund of Cancer Foundation of China LC2016B15CAMS Innovation Fund for Medical Sciences 2016-I2M-1-001PUMC Youth Fund 2017320010
6 · The paper itself

Abstract

backgroundPartial hepatectomy is the first option for intrahepatic mass-forming cholangiocarcinoma (IMCC) treatment, which would prolong survival. The main reason for the poor outcome after curative resection is the high incidence of early recurrence (ER). The aim of this study was to investigate the combined predictive performance of qualitative and quantitative magnetic resonance imaging (MRI) features and prognostic immunohistochemical markers for the ER of IMCC.

methodsForty-seven patients with pathologically proven IMCC were enrolled in this retrospective study. Preoperative contrast-enhanced MRI and post-operative immunohistochemical staining of epidermal growth factor receptors (EGFR), vascular endothelial growth factor receptor (VEGFR), P53 and Ki67 were performed. Univariate analysis identified clinic-radiologic and pathological risk factors of ER. Radiomics analysis was performed based on four MRI sequences including fat suppression T2-weighted imaging (T2WI/FS), arterial phase (AP), portal venous phase (PVP), and delayed phase (DP) contrast enhanced imaging. A clinicoradiologic-pathological (CRP) model, radiomics model, and combined model were developed. And ROC curves were used to explore their predictive performance for ER stratification.

resultsEnhancement patterns and VEGFR showed significant differences between the ER group and non-ER group (P = 0.001 and 0.034, respectively). The radiomics model based on AP, PVP and DP images presented superior AUC (0.889, 95% confidence interval (CI): 0.783-0.996) among seven radiomics models with a sensitivity of 0.938 and specificity of 0.839. The combined model, containing enhancement patterns, VEGFR and radiomics features, showed a preferable ER predictive performance compared to the radiomics model or CRP model alone, with AUC, sensitivity and specificity of 0.949, 0.875 and 0.774, respectively.

conclusionsThe combined model was the superior predictive model of ER. Combining qualitative and quantitative MRI features and VEGFR enables ER prediction, thus facilitating personalized treatment for patients with IMCC.

Indexed as

Bile Duct NeoplasmsBiomarkers, TumorCholangiocarcinomaFemaleHumansLiver NeoplasmsMagnetic Resonance ImagingMaleNeoplasm Recurrence, LocalBiomarkers, TumorCholangiocarcinomaImmunohistochemistryLiver neoplasmsMRIRadiomicsRecurrence

Identifiers

PMID31307551
PMCPMC6631577

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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.