Evidence map›Paper›PMID 40371008›Full record

ArticleCEUR workshop proceedings2018

Ontology-Enhanced Representations of Non-image Data in The Cancer Imaging Archive.

Jonathan P Bona, Tracy S Nolan, Mathias Brochhausen

Abstract read
PubMed Full text at PMC
In one paragraph

Article in CEUR workshop proceedings, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes.Knowledge graphs and semantic web : 7th international conference, KGSWC 2025, Leipzig, Germany, November 26-28, 2025 : proceedings. KGSWC (Conference) (7th : 2025 : Leipzig, Germany) · 2026
    Article
  2. Article
  3. Review
  4. PRISM: A Platform for Imaging in Precision Medicine.JCO clinical cancer informatics · 2020
    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

3 authors.

Jonathan P BonaDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States.
Tracy S NolanDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States.
Mathias BrochhausenDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States.

Funding

TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision MedicineU24CA215109 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI BANERJEE, IMON, PRIOR, FRED WILLIAM · 2017 to 2021
$8.5M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS U24 CA215109
6 · The paper itself

Abstract

The Cancer Imaging Archive (TCIA) hosts over 11 million de-identified medical images related to cancer for research reuse. These are organized around DICOM-format radiological collections that are grouped by disease type, modality, or research focus. Many collections also include diverse non-image datasets in a variety of formats without a common approach to representing the entities that the data are about. This paper describes work to make these diverse non-image data more accessible and usable by transforming them into integrated semantic representations using Open Biomedical Ontologies, highlights obstacles encountered in the data, and presents detailed representations data found in select collections.

Indexed as

cancerimagingontology developmentsemantics

Identifiers

PMID40371008
PMCPMC12076581

What OpenQuestion holds

Textmetadata
LicenceTDM
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.