Evidence map›Paper›PMID 38274304›Full record

ArticleJID innovations : skin science from molecules to population health2024

Portable System for In-Clinic Differentiation of Skin Cancers from Benign Skin Lesions and Inflammatory Dermatoses.

Michel Nieuwoudt, Paul Jarrett, Hannah Matthews, Michelle Locke, Marco Bonesi, Brydon Burnett, Hannah Holtkamp, Claude Aguergaray, Ira Mautner, Thom Minnee and 1 more

Open access · goldAbstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Michel NieuwoudtSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Paul JarrettDepartment of Dermatology, Middlemore Hospital, Auckland, New Zealand.
Hannah MatthewsSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Michelle LockeDepartment of Plastic Surgery, Middlemore Hospital, Auckland, New Zealand.
Marco BonesiSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Brydon BurnettSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Hannah HoltkampSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Claude AguergarayThe Photon Factory, University of Auckland, Auckland, New Zealand.
Ira MautnerThe Photon Factory, University of Auckland, Auckland, New Zealand.
Thom MinneeSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
M Cather SimpsonSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exquisite sensitivity of Raman spectroscopy for detecting biomolecular changes in skin cancer has previously been explored; however, this mostly required analysis of excised tissue samples using bulky, immobile laboratory instrumentation. In this study, the technique was translated for clinical use with a portable Raman system and customized fiber optic probe and applied to differentiation of skin cancers from benign lesions and inflammatory dermatoses. The aim was to provide an easy-to-use, easy-to-manage assessment tool for clinicians to use in their daily patient examination routine to perform rapid Raman measurements of skin lesions in vivo. Using this system, >867 spectra were measured in vivo from 330 patients with a wide variety of different benign skin lesions (n = 603), inflammatory dermatoses (n = 140), and skin cancers (n = 124). Ethnicities represented were 70% European; 16% Asian; 6% Māori; 5% Pacific people; and 4% Middle East, Latin American, and African. Accurate differentiation of skin cancers from benign lesions and inflammatory dermatoses was achieved using partial least squares discriminant analysis, with area under curve for the receiver operator curves for external validation sets ranging from 0.916 to 0.958. This study shows evidence for robust clinical translation of Raman spectroscopy for rapid, accurate diagnosis of skin cancer.

Identifiers

PMID38274304
PMCPMC10808988
OpenAlexW4387121803

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.