Evidence map›Paper›PMID 33169761›Full record

ReviewChemical Society reviews2021

Spatially offset Raman spectroscopy for biomedical applications.

Fay Nicolson, Moritz F Kircher, Nick Stone, Pavel Matousek

Open access · hybridAbstract readReview
In one paragraph

Review in Chemical Society reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
19.0field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 159 citations in OpenAlex.

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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

4 authors at 4 institutions in 3 countries.

Fay NicolsonDepartment of Imaging, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA.
Moritz F Kircher
Nick Stone
Pavel Matousek
Brigham and Women's Hospital · USHarvard University · USRutherford Appleton Laboratory · GBUniversity of Exeter · GB

Funding

Ultrabright Theranostic SERRS Nanoparticles for Gastrointestinal EndoscopyR01CA222836 · NCI · STANFORD UNIVERSITY · PI ROGALLA, STEPHAN · 2018 to 2023
$3.4M
MRI-Photoacoustic-Raman Nanostars for Pre- and Intraoperative Multimodal ImagingR01EB017748 · NIBIB · SLOAN-KETTERING INST CAN RESEARCH · PI KIRCHER, MORITZ FLORIAN · 2014 to 2017
$1.6M
NCI NIH HHS R01 CA222836NIBIB NIH HHS R01 EB017748
6 · The paper itself

Abstract

In recent years, Raman spectroscopy has undergone major advancements in its ability to probe deeply through turbid media such as biological tissues. This progress has been facilitated by the advent of a range of specialist techniques based around spatially offset Raman spectroscopy (SORS) to enable non-invasive probing of living tissue through depths of up to 5 cm. This represents an improvement in depth penetration of up to two orders of magnitude compared to what can be achieved with conventional Raman methods. In combination with the inherently high molecular specificity of Raman spectroscopy, this has therefore opened up entirely new prospects for a range of new analytical applications across multiple fields including medical diagnosis and disease monitoring. This article discusses SORS and related variants of deep Raman spectroscopy such as transmission Raman spectroscopy (TRS), micro-SORS and surface enhanced spatially offset Raman spectroscopy (SESORS), and reviews the progress made in this field during the past 5 years including advances in non-invasive cancer diagnosis, monitoring of neurotransmitters, and assessment of bone disease.

Indexed as

Biomedical ResearchAnimalsBone DiseasesHumansNeoplasmsNeurotransmitter AgentsSpectrum Analysis, RamanNeurotransmitter Agents

Identifiers

PMID33169761
PMCPMC8323810
OpenAlexW3104692229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.