Evidence map›Paper›PMID 36279873›Full record

ArticlePhysics in medicine and biology2022

The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections.

Jonathan P Bona, Joseph Utecht, Sarah Bost, Mathias Brochhausen, Fred Prior

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jonathan P BonaDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.ORCID 0000-0003-1402-9616
Joseph UtechtDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Sarah BostDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, United States of America.
Mathias BrochhausenDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Fred PriorDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.

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
NCI NIH HHS U24 CA215109
6 · The paper itself

Abstract

The cancer imaging archive (TICA) receives and manages an ever-increasing quantity of clinical (non-image) data containing valuable information about subjects in imaging collections. To harmonize and integrate these data, we have first cataloged the types of information occurring across public TCIA collections. We then produced mappings for these diverse instance data using ontology-based representation patterns and transformed the data into a knowledge graph in a semantic database. This repository combined the transformed instance data with relevant background knowledge from domain ontologies. The resulting repository of semantically integrated data is a rich source of information about subjects that can be queried across imaging collections. Building on this work we have implemented and deployed a REST API and a user-facing semantic cohort builder tool. This tool allows allow researchers and other users to search and identify groups of subject-level records based on non-image data that were not queryable prior to this work. The search results produced by this interface link to images, allowing users to quickly identify and view images matching the selection criteria, as well as allowing users to export the harmonized clinical data.

Indexed as

NeoplasmsSoftwareDatabases, FactualDiagnostic ImagingHumansSemanticsdata integrationdata presentationimaging informaticsinformatics technology for cancer researchknowledge representationtool development

Identifiers

PMID36279873
PMCPMC9855624

What OpenQuestion holds

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Registered trials

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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.