Evidence map›Paper›PMID 41578004›Full record

ArticleScientific reports2026

Label-free fluorescence lifetime imaging can distinguish cancer from healthy tissue in spontaneously occurring canine oral tumors.

Stephanie Goldschmidt, Laura Marcu, Katjana Ehrlich, Mohamed Abul Hassan, Iris Rivas, Andrew Birkeland, Xiangnan Zhou, Julien Bec, Alba Alfonso Garcia, Shuai Chen and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. 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

19 authors.

Stephanie GoldschmidtDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA. sgoldschmidt@ucdavis.edu.
Laura MarcuDepartment of Biomedical Engineering, University of California-Davis, Davis, CA, USA.
Katjana EhrlichDepartment of Biomedical Engineering, University of California-Davis, Davis, CA, USA.
Mohamed Abul HassanDepartment of Biomedical Engineering, University of California-Davis, Davis, CA, USA.
Iris RivasDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Andrew BirkelandDepartment of Otolaryngology Head and Neck Surgery, School of Medicine, University of California-Davis, Davis, CA, USA.
Xiangnan ZhouDepartment of Biomedical Engineering, University of California-Davis, Davis, CA, USA.
Julien BecDepartment of Biomedical Engineering, University of California-Davis, Davis, CA, USA.
Alba Alfonso GarciaDepartment of Biomedical Engineering, University of California-Davis, Davis, CA, USA.
Shuai ChenDivision of Biostatistics, Department of Public Health Sciences, University of California-Davis, Davis, CA, USA.
Yichu ChenDivision of Biostatistics, Department of Public Health Sciences, University of California-Davis, Davis, CA, USA.
Yash TipirneniDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Max KampeDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Abigail WeirDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Abraham MoralesDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Christine LyDepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Robert RebhunDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Brian G MurphyDepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Natalia VapniarskyDepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh, Laura Marcu · 2022 to 2026
$6.7M
Comprehensive Cancer Center, University of California, Davis P30CA093373NCI NIH HHS K12 CA138464NCI NIH HHS P30 CA093373NCI Paul Calabresi Career Development Award 5K12-CA138464NIBIB NIH HHS P41 EB032840NIBIB NIH HHS P41EB032840
6 · The paper itself

Abstract

Post-surgical local recurrence of oral cancer remains unacceptably high across species due to the lack of non-invasive tools capable of accurately delineating tumor from healthy tissue. Label-free fluorescence lifetime imaging (FLIm) has shown moderate-to-high success in human head and neck squamous cell carcinoma, but it is unclear whether diagnostic accuracy can be enhanced by incorporating exogenous fluorophores that selectively accumulate in cancer. This study evaluated the performance of 5-ALA induced Protoporphyrin IX (PpIX) fluorescence and autofluorescence FLIm features to discriminate epithelial cancer and healthy tissues in a spontaneous large animal model of disease (15 pet dogs). Fluorescence emission parameters (e.g. lifetimes, intensity ratios, phasors and Laguerre coefficients) differed significantly (p < 0.001) between cancer and healthy tissues in both autofluorescence and PpIX channels. However, autofluorescence features, particularly lifetimes in Channel 1 (390 nm, collagen-sensitive) and intensity ratios in Channel 2 (470 nm, NADH-sensitive), provided the strongest in vivo discrimination. These results demonstrate that label-free FLIm alone is sufficient to distinguish epithelial oral cancers from healthy tissue in dogs, and that the addition of exogenous markers such as 5-ALA–induced PpIX, does not markedly improve diagnostic accuracy enough to warrant incorporation into flourescence imaging approaches.

Indexed as

Carcinoma, Squamous CellDog DiseasesMouth NeoplasmsOptical ImagingAnimalsDogsFemaleFluorescenceFluorescent DyesProtoporphyrinsFluorescent Dyesprotoporphyrin IXProtoporphyrins5-aminovelic acidFluorescence guided surgeryFluorescence lifetime imagingOral tumorsProtoporphyrin IXSquamous cell carcinoma

Identifiers

PMID41578004
PMCPMC12902045

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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.