Evidence map›Paper›PMID 34728637›Full record

ArticleScientific reports2021

Photoplethysmography for demarcation of cutaneous squamous cell carcinoma.

Simon Mylius Rasmussen, Thomas Nielsen, Sofie Hody, Henrik Hager, Lars Peter Schousboe

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Functionalization of Nanomaterials for Skin Cancer Theranostics.Frontiers in bioengineering and biotechnology · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Simon Mylius RasmussenDepartment of Otolaryngology at the Southdanish University Hospital, 7100, Vejle, Denmark. smrasmussen@health.sdu.dk.
Thomas NielsenDepartment of Electrical and Computer Engineering, Aarhus University, 8000, Aarhus N, Denmark.
Sofie HodyDepartment of Plastic Surgery, 7100, Vejle, Denmark.
Henrik HagerDepartment of Clinical Pathology, Vejle Hospital, 7100, Vejle, Denmark.
Lars Peter SchousboeDepartment of Otolaryngology at the Southdanish University Hospital, 7100, Vejle, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A video processing algorithm designed to identify cancer suspicious skin areas is presented here. It is based on video recordings of squamous cell carcinoma in the skin. Squamous cell carcinoma is a common malignancy, normally treated by surgical removal. The surgeon should always balance sufficient tissue removal against unnecessary mutilation, and therefore methods for distinction of cancer boundaries are wanted. Squamous cell carcinoma has angiogenesis and increased blood supply. Remote photoplethysmography is an evolving technique for analysis of signal variations in video recordings in order to extract vital signs such as pulsation. We hypothesize that the remote photoplethysmography signal inside the area of a squamous cell carcinoma is significantly different from the surrounding healthy skin. Based on high speed video recordings of 13 patients with squamous cell carcinoma, we have examined temporal signal differences in cancer areas versus healthy skin areas. A significant difference in temporal signal changes between cancer areas and healthy areas was found. Our video processing algorithm showed promising results encouraging further investigation to clarify how detailed distinctions can be made.

Indexed as

AlgorithmsSignal Processing, Computer-AssistedAgedAged, 80 and overCarcinoma, Squamous CellFemaleHumansMaleMiddle AgedPhotoplethysmographySkinSkin NeoplasmsVideo Recording

Identifiers

PMID34728637
PMCPMC8563950

What OpenQuestion holds

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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.