Evidence map›Paper›PMID 32999894›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2020

Algorithm to quantify nuclear features and confidence intervals for classification of oral neoplasia from high-resolution optical images.

Eric C Yang, David R Brenes, Imran S Vohra, Richard A Schwarz, Michelle D Williams, Nadarajah Vigneswaran, Ann M Gillenwater, Rebecca R Richards-Kortum

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 2 institutions in 1 country.

Eric C YangBaylor College of Medicine, Houston, Texas, United States.ORCID https://orcid.org/0000-0003-3171-9547
David R BrenesRice University, Department of Bioengineering, Houston, Texas, United States.
Imran S VohraRice University, Department of Bioengineering, Houston, Texas, United States.
Richard A SchwarzRice University, Department of Bioengineering, Houston, Texas, United States.
Michelle D WilliamsThe University of Texas, MD Anderson Cancer Center, Department of Pathology, Houston, Texas, United States.ORCID https://orcid.org/0000-0002-9133-7332
Nadarajah VigneswaranThe University of Texas, School of Dentistry at Houston, Department of Diagnostic and Biomedical Sciences, Houston, Texas, United States.ORCID https://orcid.org/0000-0002-6995-1918
Ann M GillenwaterThe University of Texas, MD Anderson Cancer Center, Department of Head and Neck Surgery, Houston, Texas, United States.
Rebecca R Richards-KortumRice University, Department of Bioengineering, Houston, Texas, United States.ORCID https://orcid.org/0000-0003-2347-9467
Rice University · USBaylor College of Medicine · US

Funding

Optical Systems for In Vivo Molecular Imaging of CancerR01CA103830 · NCI · UNIVERSITY OF TEXAS AUSTIN · PI RICHARDS-KORTUM, REBECCA R. · 2004 to 2015
$12.4M
(PQC2) Optical Hallmarks of Aggressive Clones Within Oral Field CancerizationR01CA185207 · NCI · RICE UNIVERSITY · PI GILLENWATER, ANN M, RICHARDS-KORTUM, REBECCA R. · 2014 to 2017
$2.6M
Aptamer mediated targeting of Fanconi Anemia oral cancer initiating cellsR01DE024392 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ANNAPRAGADA, ANANTH V, VIGNESWARAN, NADARAJAH · 2014 to 2017
$1.5M
An Automated, Optical Imaging Platform for Early Detection of Oral NeoplasiaF30CA213922 · NCI · RICE UNIVERSITY · PI YANG, ERIC · 2017 to 2018
$96k
NCI NIH HHS F30 CA213922NCI NIH HHS R01 CA103830NCI NIH HHS R01 CA185207NIDCR NIH HHS R01 DE024392
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

microscopyoral cancerparameter estimationsemantic segmentation

Identifiers

PMID32999894
PMCPMC7503985
OpenAlexW3087834978

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.