Evidence map›Paper›PMID 34499018›Full record

ArticleTechnology in cancer research & treatment

Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

Hanyue Xu, Xiuhe Zou, Yunuo Zhao, Tao Zhang, Youyin Tang, Aiping Zheng, Xianghong Zhou, Xuelei Ma

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Applications of artificial intelligence in biliary tract cancers.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Application of AI on cholangiocarcinoma.Frontiers in oncology · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
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.

Hanyue XuDepartment of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, PR China.
Xiuhe ZouDepartment of Thyroid Surgery, West China Hospital of Sichuan University, Chengdu 610041, PR China.
Yunuo ZhaoDepartment of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, PR China.
Tao ZhangDepartment of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, PR China.
Youyin TangDepartment of Liver surgery, West China Hospital, Sichuan University, Chengdu 610041, PR China.
Aiping ZhengDepartment of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, PR China.
Xianghong ZhouDepartment of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, PR China.
Xuelei MaDepartment of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, PR China.ORCID 0000-0002-9148-5001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Machine LearningTomography, X-Ray ComputedAgedAlgorithmsBile Duct NeoplasmsCholangiocarcinomaContrast MediaDiagnosis, DifferentialFemaleHumansImage Processing, Computer-AssistedLymphomaMaleMiddle AgedNeoplasm GradingRadiographic Image EnhancementContrast Mediacontrast-enhanced computer tomographyhepatic lymphomaintrahepatic cholangiocarcinomamachine learningtexture

Identifiers

PMID34499018
PMCPMC8435928

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.