Evidence map›Paper›PMID 28663925›Full record

ArticleBiomedical optics express2017

Noninvasive mesoscopic imaging of actinic skin damage using spatial frequency domain imaging.

Jeffrey B Travers, Chien Poon, Daniel J Rohrbach, Nathan M Weir, Elizabeth Cates, Faye Hager, Ulas Sunar

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review of structured light in diffuse optical imaging.Journal of biomedical optics · 2018
    Review
  8. Article
  9. Biomedical optics express · 2017
    Article
  10. 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

7 authors.

Jeffrey B TraversDepartment of Pharmacology & Toxicology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA.
Chien PoonDepartment of Biomedical, Industrial & Human Factors Engineering, Wright State University, Dayton, OH 45435, USA.
Daniel J RohrbachDepartment of Biomedical, Industrial & Human Factors Engineering, Wright State University, Dayton, OH 45435, USA.
Nathan M WeirDepartment of Dermatology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA.
Elizabeth CatesDepartment of Pharmacology & Toxicology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA.
Faye HagerDepartment of Pharmacology & Toxicology, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA.
Ulas SunarDepartment of Biomedical, Industrial & Human Factors Engineering, Wright State University, Dayton, OH 45435, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For prevention and accurate intervention planning, it is crucial to predict if lesions will progress towards cancer. In this study, we investigated the change in optical properties and vascular parameters to characterize skin tissue from mild photodamage to actinic keratosis (AK). Multi-wavelength spatial frequency domain imaging (SFDI) measurements were performed on three patients with clinically normal skin, as well as pre-cancerous actinic keratosis lesions. Our results indicate that there exist significant differences in both optical and vascular parameters between these patients, and that these parameters can be early biomarkers of neoplasia. Ultimately, clinicians can use this noninvasive approach for frequent monitoring of high-risk population.

Indexed as

(110.4234) Multispectral and hyperspectral imaging(170.0110) Imaging systems(170.1870) Dermatology(170.6935) Tissue characterization

Identifiers

PMID28663925
PMCPMC5480448

What OpenQuestion holds

Textmetadata
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.