Evidence map›Paper›PMID 30813551›Full record

ArticleDiagnostics (Basel, Switzerland)2019

Understanding Real-Time Fluorescence Signals from Bacteria and Wound Tissues Observed with the MolecuLight i:X

Monique Y Rennie, Danielle Dunham, Liis Lindvere-Teene, Rose Raizman, Rosemary Hill, Ron Linden

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Article
  9. A Scoping Review of Fluorescence Imaging: A Promising New Technology for Bacterial Detection in Burn Wounds.Journal of burn care & research : official publication of the American Burn Association · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Determination of the Course of Cyan Fluorescence ofDiagnostics (Basel, Switzerland) · 2024
    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

6 authors.

Monique Y RennieMolecuLight, Inc, Toronto, ON M5G 1T6, Canada. mrennie@moleculight.com.
Danielle DunhamMolecuLight, Inc, Toronto, ON M5G 1T6, Canada. ddunham@moleculight.com.
Liis Lindvere-TeeneMolecuLight, Inc, Toronto, ON M5G 1T6, Canada. lteene@moleculight.com.
Rose RaizmanDepartment of Professional Practice, Scarborough and Rouge Hospital, Toronto, ON M1E 4B9, Canada. rraizman@shn.ca.
Rosemary HillDepartment of Ambulatory Care, Lions Gate Hospital, Vancouver Coastal Health, North Vancouver, BC V7L 2L7, Canada. rosemary.hill@vch.ca.
Ron LindenJudy Dan Research and Treatment Centre, North York, ON M2R 1N5, Canada. drlinden@ontariowoundcare.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistent presence of pathogenic bacteria is one of the main obstacles to wound healing. Detection of wound bacteria relies on sampling methods, which delay confirmation by several days. However, a novel handheld fluorescence imaging device has recently enabled real-time detection of bacteria in wounds based on their intrinsic fluorescence characteristics, which differ from those of background tissues. This device illuminates the wound with violet (405 nm) light, causing tissues and bacteria to produce endogenous, characteristic fluorescence signals that are filtered and displayed on the device screen in real-time. The resulting images allow for rapid assessment and documentation of the presence, location, and extent of fluorescent bacteria at moderate-to-heavy loads. This information has been shown to assist in wound assessment and guide patient-specific treatment plans. However, proper image interpretation is essential to assessing this information. To properly identify regions of bacterial fluorescence, users must understand: (1) Fluorescence signals from tissues (e.g., wound tissues, tendon, bone) and fluids (e.g., blood, pus); (2) fluorescence signals from bacteria (red or cyan); (3) the rationale for varying hues of both tissue and bacterial fluorescence; (4) image artifacts that can occur; and (5) some potentially confounding signals from non-biological materials (e.g., fluorescent cleansing solutions). Therefore, this tutorial provides clinicians with a rationale for identifying common wound fluorescence characteristics. Clinical examples are intended to help clinicians with image interpretation-with a focus on image artifacts and potential confounders of image interpretation-and suggestions of how to overcome such challenges when imaging wounds in clinical practice.

Indexed as

bacteriafluorescence imagingimage interpretationMolecuLight i:Xwound assessmentwounds

Identifiers

PMID30813551
PMCPMC6468690

What OpenQuestion holds

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LicenceCC BY
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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.