Evidence map›Paper›PMID 28676880›Full record

ArticleActa dermato-venereologica2017

Innovations and Developments in Dermatologic Non-invasive Optical Imaging and Potential Clinical Applications.

Eric Tkaczyk

Open access · goldAbstract read
In one paragraph

Article in Acta dermato-venereologica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Biomedical optics express · 2026
    Article
  2. A Comprehensive Review of GWASs of Human Hair Traits.The Journal of investigative dermatology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Applications of Laser Speckle Contrast Imaging Technology in Dermatology.JID innovations : skin science from molecules to population health · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Acral melanoma detection using dermoscopic images and convolutional neural networks.Visual computing for industry, biomedicine, and art · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Deep learning extended depth-of-field microscope for fast and slide-free histology.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. 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

1 author at 1 institution in 1 country.

Eric TkaczykOne Hundred Oaks Suite 26300, 719 Thompson Lane, TN 37204 Nashville, USA. eric.tkaczyk@vanderbilt.edu.
Vanderbilt University Medical Center · US

Funding

Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
NCI NIH HHS K12 CA090625
6 · The paper itself

Abstract

Most dermatologists are aware of the benefits of dermoscopy, and a few are familiar with laser-scanning confocal microscopy. Beyond confocal, there are fully 11 different categories of optical techniques that have been applied to clinical dermatology. This article first provides a comprehensive tabular overview of all these optical diagnostic technologies and then details 4 of the lesser known innovations that are already available or still in development (laser Doppler and speckle imaging, Raman spectroscopy, multiphoton microscopy, photoacoustic tomography), with some potential applications in clinical dermatology (blood flow monitoring, skin cancer diagnosis, composition measurements in atopic dermatitis, skin rejuvenation measurement, and noninvasive sentinel lymph node assessment in melanoma). These methods present many advantages, being non-invasive, portable, and rapid. The development of optics in biological and biomedical sciences (i.e. biophotonics) requires not only deep insight into the applications but also synergistic collaboration be-tween engineers and clinicians.

Identifiers

PMID28676880
PMCPMC5943168
OpenAlexW2734128054

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.