Evidence map›Paper›PMID 33634205›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans.

Yiyuan Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Yuankai Huo, Matthew T McKenna, Michael R Savona, Richard G Abramson, Bennett A Landman

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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

9 authors.

Yiyuan YangVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.
Yucheng TangVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-6008-9700
Riqiang GaoVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.
Shunxing BaoVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.
Yuankai HuoVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-2096-8065
Matthew T McKennaVanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0001-5003-539X
Michael R SavonaVanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States.
Richard G AbramsonHCA Healthcare, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0002-1200-0281
Bennett A LandmanVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0001-5733-2127

Funding

Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
NIBIB NIH HHS T32 EB001628
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computed tomographydeep learningimage segmentationspleensplenomegaly

Identifiers

PMID33634205
PMCPMC7893322

What OpenQuestion holds

Textmetadata
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.