Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.

    I agree
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
Oncology Letters
Join Editorial Board Propose a Special Issue
Print ISSN: 1792-1074 Online ISSN: 1792-1082
Journal Cover
August-2024 Volume 28 Issue 2

Full Size Image

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
August-2024 Volume 28 Issue 2

Full Size Image

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML

  • Supplementary Files
    • Supplementary_Data.pdf
Article

Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis

  • Authors:
    • Chao Yang
    • Jianhui Xu
    • Shuai Wang
    • Ying Wang
    • Yingshi Zhang
    • Chengzhe Piao
  • View Affiliations / Copyright

    Affiliations: Information Construction Department, Department of Ethnic Culture and Vocational Education, Liaoning National Normal College, Shenyang, Liaoning 110032, P.R. China, Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
  • Article Number: 385
    |
    Published online on: June 20, 2024
       https://doi.org/10.3892/ol.2024.14518
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:



Abstract

The prediction of early recurrent of intrahepatic cholangiocarcinoma (ICC) has been widely investigated; however, the predictive value is currently insufficient. To determine the effectiveness of machine learning (ML) for the diagnosis of early recurrent intrahepatic cholangiocarcinoma (ICC), particularly in comparison with clinical models, the present study aimed to determine which ML model had the best diagnostic performance for inpatients with recurrent ICC. In order to search for studies which could be included, three electronic databases were screened from inception to November 2023. A pairwise meta‑analysis was performed to evaluate the diagnostic accuracy of the random effects model. A network meta‑analysis was performed to identify the most effective ML‑based diagnostic model based on the surface under the cumulative ranking curve score. A total of 5 studies of acceptable quality containing 1,247 patients with ICC were included in the present study. Following pairwise meta‑analysis, it was found that the ML‑based diagnostic accuracy was greater than that of clinical models (surface under the cumulative ranking curve score closer to 1, with significant differences), which initially proved that the ML‑based diagnostic power was more optimal than that of clinical models. According to the network meta‑analysis, the nomogram performed the best, indicating that this ML model achieved the best diagnostic accuracy for patients with recurrent ICC. In conclusion, the application of ML‑based diagnostic models for patients with recurrent ICC was more optimal than the application of the clinical model. The nomogram model ranked first among the models and is therefore recommended for patients with recurrent ICC.
View Figures

Figure 1

Figure 2

Figure 3

Figure 4

View References

1 

Chen X, Du J, Huang J, Zeng Y and Yuan K: Neoadjuvant and adjuvant therapy in intrahepatic cholangiocarcinoma. J Clin Transl Hepatol. 10:553–563. 2022. View Article : Google Scholar : PubMed/NCBI

2 

Halder R, Amaraneni A and Shroff RT: Cholangiocarcinoma: A review of the literature and future directions in therapy. Hepatobiliary Surg Nutr. 11:555–566. 2022. View Article : Google Scholar : PubMed/NCBI

3 

Kubo S, Shinkawa H, Asaoka Y, Ioka T, Igaki H, Izumi N, Itoi T, Unno M, Ohtsuka M, Okusaka T, et al: Liver cancer study group of Japan clinical practice guidelines for intrahepatic cholangiocarcinoma. Liver Cancer. 11:290–314. 2022. View Article : Google Scholar : PubMed/NCBI

4 

Ahmed Z, Mohamed K, Zeeshan S and Dong X: Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database (Oxford). 2020:baaa0102020. View Article : Google Scholar : PubMed/NCBI

5 

Ibrahim I and Abdulazeez A: The role of machine learning algorithms for diagnosing diseases. J Appl Sci Technol Trend. 2:10–19. 2021. View Article : Google Scholar

6 

Richens JG, Lee CM and Johri S: Improving the accuracy of medical diagnosis with causal machine learning. Nat Commun. 11:39232020. View Article : Google Scholar : PubMed/NCBI

7 

Stenzinger A, Moltzen EK, Winkler E, Molnar-Gabor F, Malek N, Costescu A, Jensen BN, Nowak F, Pinto C, Ottersen OP, et al: Implementation of precision medicine in healthcare-A European perspective. J Intern Med. 294:437–454. 2023. View Article : Google Scholar : PubMed/NCBI

8 

Lee J, Yoo SK, Kim K, Lee BM, Park VY, Kim JS and Kim YB: Machine learning-based radiomics models for prediction of locoregional recurrence in patients with breast cancer. Oncol Lett. 26:4222023. View Article : Google Scholar : PubMed/NCBI

9 

Zeng J, Zeng J, Lin K, Lin H, Wu Q, Guo P, Zhou W and Liu J: Development of a machine learning model to predict early recurrence for hepatocellular carcinoma after curative resection. Hepatobiliary Surg Nutr. 11:176–187. 2022. View Article : Google Scholar : PubMed/NCBI

10 

Jin L, Zhao Q, Fu S, Cao F, Hou B and Ma J: Development and validation of machine learning models to predict survival of patients with resected stage-III NSCLC. Front Oncol. 13:10924782023. View Article : Google Scholar : PubMed/NCBI

11 

Likhitrattanapisal S, Tipanee J and Janvilisri T: Meta-analysis of gene expression profiles identifies differential biomarkers for hepatocellular carcinoma and cholangiocarcinoma. Tumour Biol. 37:12755–12766. 2016. View Article : Google Scholar : PubMed/NCBI

12 

Wu HY, Xia S, Liu AG, Wei MD, Chen ZB, Li YX, He Y, Liao MJ, Hu QP and Pan SL: Upregulation of miR-132-3p in cholangiocarcinoma tissues: A study based on RT-qPCR, the cancer genome atlas miRNA sequencing, gene expression omnibus microarray data and bioinformatics analyses. Mol Med Rep. 20:5002–5020. 2019.PubMed/NCBI

13 

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al: The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 372:n712021. View Article : Google Scholar : PubMed/NCBI

14 

van Tulder M, Furlan A, Bombardier C and Bouter L; Editorial Board of the Cochrane Collaboration Back Review Group, : Updated method guidelines for systematic reviews in the cochrane collaboration back review group. Spine (Phila Pa 1976). 28:1290–1299. 2003. View Article : Google Scholar : PubMed/NCBI

15 

University of York Centre for Reviews and Dissemination, . Jinatongthai P, Kongwatcharapong J, Phrommintikul A, Nathisuwan S and Chaiyakunapruk N: Comparative efficacy and safety of reperfusion therapy with fibrinolytic agents in patient with ST-segment elevation myocardial infarction: A systematic review and network meta-analysis. Prospero 2019: CRD42019161406. 2022.Available from:. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=487932(date of access, 18/01/2024).

16 

Lo CK, Mertz D and Loeb M: Newcastle-Ottawa Scale: comparing reviewers' to authors' assessments. BMC Med Res Methodol. 14(45): doi:10.1186/1471-2288-14-45. 2014.PubMed/NCBI

17 

Salanti G, Del Giovane C, Chaimani A, Caldwell DM and Higgins JPT: Evaluating the quality of evidence from a network meta-analysis. PLoS One. 9:e996822014. View Article : Google Scholar : PubMed/NCBI

18 

Yang C, Xu C, Li X and Zhang Y, Zhang S, Zhang T and Zhang Y: Could camrelizumab plus chemotherapy improve clinical outcomes in advanced malignancy? A systematic review and network meta-analysis. Front Oncol. 11:7001652021. View Article : Google Scholar : PubMed/NCBI

19 

Yang C, Han X, Jin M, Xu J, Wang Y, Zhang Y, Xu C, Zhang Y, Jin E and Piao C: The effect of video game-based interventions on performance and cognitive function in older adults: Bayesian network meta-analysis. JMIR Serious Games. 9:e270582021. View Article : Google Scholar : PubMed/NCBI

20 

Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M and Salanti G: CINeMA: An approach for assessing confidence in the results of a network meta-analysis. PLoS Med. 17:e10030822020. View Article : Google Scholar : PubMed/NCBI

21 

Alaimo L, Lima HA, Moazzam Z, Endo Y, Yang J, Ruzzenente A, Guglielmi A, Aldrighetti L, Weiss M, Bauer TW, et al: Development and validation of a machine-learning model to predict early recurrence of intrahepatic cholangiocarcinoma. Ann Surg Oncol. 30:5406–5415. 2023. View Article : Google Scholar : PubMed/NCBI

22 

Song Y, Zhou G, Zhou Y, Xu Y, Zhang J, Zhang K, He P, Chen M, Liu Y, Sun J, et al: Artificial intelligence CT radiomics to predict early recurrence of intrahepatic cholangiocarcinoma: A multicenter study. Hepatol Int. 17:1016–1027. 2023. View Article : Google Scholar : PubMed/NCBI

23 

Jolissaint JS, Wang T, Soares KC, Chou JF, Gönen M, Pak LM, Boerner T, Do RKG, Balachandran VP, D'Angelica MI, et al: Machine learning radiomics can predict early liver recurrence after resection of intrahepatic cholangiocarcinoma. HPB (Oxford). 24:1341–1350. 2022. View Article : Google Scholar : PubMed/NCBI

24 

Guo Q, Sun C, Chang Q, Wang Y, Chen Y, Wang Q, Li Z and Niu L: Contrast-enhanced ultrasound-based nomogram for predicting malignant involvements among sonographically indeterminate/suspicious cervical lymph nodes in patients with differentiated thyroid carcinoma. Ultrasound Med Biol. 48:1579–1589. 2022. View Article : Google Scholar : PubMed/NCBI

25 

Liang W, Xu L, Yang P, Zhang L, Wan D, Huang Q, Niu T and Chen F: Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma. Front Oncol. 8:3602018. View Article : Google Scholar : PubMed/NCBI

26 

Moris D, Palta M, Kim C, Allen PJ, Morse MA and Lidsky ME: Advances in the treatment of intrahepatic cholangiocarcinoma: An overview of the current and future therapeutic landscape for clinicians. CA Cancer J Clin. 73:198–222. 2023. View Article : Google Scholar : PubMed/NCBI

27 

Zhang H, Yang T, Wu M and Shen F: Intrahepatic cholangiocarcinoma: Epidemiology, risk factors, diagnosis and surgical management. Cancer Lett. 379:198–205. 2016. View Article : Google Scholar : PubMed/NCBI

28 

Bu F, Deng XH, Zhan NN, Cheng H, Wang ZL, Tang L, Zhao Y and Lyu QY: Development and validation of a risk prediction model for frailty in patients with diabetes. BMC Geriatr. 23:1722023. View Article : Google Scholar : PubMed/NCBI

29 

Lin J, Su H, Zhou Q, Pan J and Zhou L: Predictive value of nomogram based on Kyoto classification of gastritis to diagnosis of gastric cancer. Scand J Gastroenterol. 57:574–580. 2022. View Article : Google Scholar : PubMed/NCBI

30 

Chong HH, Yang L, Sheng RF, Yu YL, Wu DJ, Rao SX, Yang C and Zeng MS: Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤5 cm. Eur Radiol. 31:4824–4838. 2021. View Article : Google Scholar : PubMed/NCBI

31 

Zhang Y, Zhang Z, Wei L and Wei S: Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal. Front Public Health. 10:10081372022. View Article : Google Scholar : PubMed/NCBI

32 

Lei H, Li X, Ma W, Hong N, Liu C, Zhou W, Zhou H, Gong M, Wang Y, Wang G and Wu Y: Comparison of nomogram and machine-learning methods for predicting the survival of non-small cell lung cancer patients. Cancer Innov. 1:135–145. 2022. View Article : Google Scholar : PubMed/NCBI

33 

Saleh H, Abd-El Ghany SF, Alyami H and Alosaimi W: Predicting breast cancer based on optimized deep learning approach. Comput Intell Neurosci. 2022:18207772022. View Article : Google Scholar : PubMed/NCBI

34 

Ghoniem RM, Algarni AD, Refky B and Ewees AA: Multi-modal evolutionary deep learning model for ovarian cancer diagnosis. Symmetry. 13:6432021. View Article : Google Scholar

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Yang C, Xu J, Wang S, Wang Y, Zhang Y and Piao C: Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis. Oncol Lett 28: 385, 2024.
APA
Yang, C., Xu, J., Wang, S., Wang, Y., Zhang, Y., & Piao, C. (2024). Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis. Oncology Letters, 28, 385. https://doi.org/10.3892/ol.2024.14518
MLA
Yang, C., Xu, J., Wang, S., Wang, Y., Zhang, Y., Piao, C."Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis". Oncology Letters 28.2 (2024): 385.
Chicago
Yang, C., Xu, J., Wang, S., Wang, Y., Zhang, Y., Piao, C."Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis". Oncology Letters 28, no. 2 (2024): 385. https://doi.org/10.3892/ol.2024.14518
Copy and paste a formatted citation
x
Spandidos Publications style
Yang C, Xu J, Wang S, Wang Y, Zhang Y and Piao C: Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis. Oncol Lett 28: 385, 2024.
APA
Yang, C., Xu, J., Wang, S., Wang, Y., Zhang, Y., & Piao, C. (2024). Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis. Oncology Letters, 28, 385. https://doi.org/10.3892/ol.2024.14518
MLA
Yang, C., Xu, J., Wang, S., Wang, Y., Zhang, Y., Piao, C."Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis". Oncology Letters 28.2 (2024): 385.
Chicago
Yang, C., Xu, J., Wang, S., Wang, Y., Zhang, Y., Piao, C."Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis". Oncology Letters 28, no. 2 (2024): 385. https://doi.org/10.3892/ol.2024.14518
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team