Evidence map›Paper›PMID 32547939›Full record

ArticleFrontiers in oncology2020

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data.

Shi-Hui Zhen, Ming Cheng, Yu-Bo Tao, Yi-Fan Wang, Sarun Juengpanich, Zhi-Yu Jiang, Yan-Kai Jiang, Yu-Yu Yan, Wei Lu, Jie-Min Lue and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

22 more citing papers are in PubMed but not listed here.

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

15 authors.

Shi-Hui ZhenDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Ming ChengState Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China.
Yu-Bo TaoState Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China.
Yi-Fan WangDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Sarun JuengpanichDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Zhi-Yu JiangDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Yan-Kai JiangDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Yu-Yu YanState Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China.
Wei LuDepartment of Radiology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Jie-Min LueDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Jia-Hong QianState Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China.
Zhong-Yu WuDepartment of Surgical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Ji-Hong SunDepartment of Radiology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Hai LinState Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China.
Xiu-Jun CaiDepartment of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedeep learningdiagnosisliver cancerliver massMRI

Identifiers

PMID32547939
PMCPMC7271965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.