Evidence map›Paper›PMID 25574438›Full record

ArticleBiomedical optics express2014

In vivo nonlinear spectral imaging as a tool to monitor early spectroscopic and metabolic changes in a murine cutaneous squamous cell carcinoma model.

Giju Thomas, Johan van Voskuilen, Hoa Truong, Ji-Ying Song, Hans C Gerritsen, H J C M Sterenborg

Abstract read
In one paragraph

Article in Biomedical optics express, 2014. 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. Advanced Microscopy Techniques.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
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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

6 authors.

Giju ThomasDepartment of Biomedical Engineering and Physics, Academic Medical Centre, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands ; Centre for Optical Diagnostics and Therapy, Erasmus Medical Centre, Post Box 2040, 3000 CA, Rotterdam, The Netherlands.
Johan van VoskuilenDepartment of Molecular Biophysics, Utrecht University, 3508 TA, Utrecht, The Netherlands.
Hoa TruongDepartment of Molecular Biophysics, Utrecht University, 3508 TA, Utrecht, The Netherlands.
Ji-Ying SongDepartment of Experimental Animal Pathology, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, Amsterdam, The Netherlands.
Hans C GerritsenDepartment of Molecular Biophysics, Utrecht University, 3508 TA, Utrecht, The Netherlands.
H J C M SterenborgDepartment of Biomedical Engineering and Physics, Academic Medical Centre, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely detection of cutaneous squamous cell carcinoma with non-invasive modalities like nonlinear spectral imaging (NLSI) can ensure efficient preventive or therapeutic measures for patients. In this study, in vivo NLSI was used to study spectral characteristics in murine skin treated with 7, 12-dimethylbenz(a)anthracene. The results show that NLSI could detect emission spectral changes during the early preclinical stages of skin carcinogenesis. Analyzing these emission spectra using simulated band-pass filters at 450-460 nm and 525-535 nm, gave parameters that were expressed as a ratio. This ratio was increased and thus suggestive of elevated metabolic activity in early stages of skin carcinogenesis.

Indexed as

(170.1870) Dermatology(170.3880) Medical and biological imaging(170.6510) Spectroscopy, tissue diagnostics(180.4315) Nonlinear microscopy(180.6900) Three-dimensional microscopy(300.6420) Spectroscopy, nonlinear

Identifiers

PMID25574438
PMCPMC4285605

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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.