Evidence map›Paper›PMID 39682305›Full record

ArticleCancers2024

Contrastive Clustering-Based Patient Normalization to Improve Automated In Vivo Oral Cancer Diagnosis from Multispectral Autofluorescence Lifetime Images.

Kayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Javier A Jo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Kayla CaughlinDepartment of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Elvis Duran-SierraDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77840, USA.
Shuna ChengDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77840, USA.
Rodrigo CuencaSchool of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
Beena AhmedSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2033, Australia.
Jim JiDepartment of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha 23874, Qatar.
Mathias MartinezDepartment of Cranio-Maxillofacial Surgery, Hamad Medical Corporation, Doha 3050, Qatar.
Moustafa Al-KhalilDepartment of Cranio-Maxillofacial Surgery, Hamad Medical Corporation, Doha 3050, Qatar.
Hussain Al-EnaziDepartment of Otorhinolaryngology Head and Neck Surgery, Hamad Medical Corporation, Doha 3050, Qatar.ORCID 0000-0003-0060-7315
Javier A JoSchool of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
Carlos BussoDepartment of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0002-4075-4072

Funding

Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian CancerP20GM135009 · NIGMS · UNIVERSITY OF OKLAHOMA · PI Yuye Ling · 2022 to 2026
$13.6M
Endogenous fluorescence lifetime endoscopy for early detection of oral cancer and dysplasiaR01CA218739 · NCI · UNIVERSITY OF OKLAHOMA · PI JO, JAVIER ANTONIO · 2018 to 2023
$2.5M
CPRIT RP180588NCI NIH HHS R01 CA218739NIGMS NIH HHS P20 GM135009NIH HHS R01CA218739NIH NIGMS P20GM135009Oklahoma Tobacco Settlement Endowment Trust University of Oklahoma, Stephenson Cancer CenterQatar National Research Fund NPRP8-1606-3-322
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

automated cancer diagnosisdeep learningmargin delineationmultispectral autofluorescence lifetime imagingpatient normalizationregularization

Identifiers

PMID39682305
PMCPMC11640133

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.