Evidence map›Paper›PMID 29635739›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2018

Smart-Dust-Nanorice for Enhancement of Endogenous Raman Signal, Contrast in Photoacoustic Imaging, and T2-Shortening in Magnetic Resonance Imaging.

Christoph Pohling, Jos L Campbell, Timothy A Larson, Dominique Van de Sompel, Jelena Levi, Michael H Bachmann, Sarah E Bohndiek, Jesse V Jokerst, Sanjiv S Gambhir

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

9 authors.

Christoph PohlingDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.ORCID 0000-0002-5848-551X
Jos L CampbellDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Timothy A LarsonDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Dominique Van de SompelDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Jelena LeviDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Michael H BachmannDepartment of Pediatrics, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Sarah E BohndiekDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Jesse V JokerstDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.
Sanjiv S GambhirDepartment of Radiology, Stanford School of Medicine, Clark Center E150, 318 Campus Drive, Stanford, CA, 94303, USA.

Funding

Pilot ProjectsU54CA151459 · NCI · STANFORD UNIVERSITY · PI QUAKE, STEPHEN R · 2010 to 2014
$12.6M
Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI SINCLAIR, ROBERT · 2015 to 2019
$9.6M
Therapeutic Drug Monitoring with a Wearable Ultrasound-based SensorDP2HL137187 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2016 to 2019
$2.7M
A Therapeutic Tool for Ultrasound-Guided Stem Cell TherapyR00HL117048 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2015 to 2017
$747k
A Therapeutic Tool for ULtrasound-Guided Stem Cell TherapyK99HL117048 · NHLBI · STANFORD UNIVERSITY · PI JOKERST, JESSE VINCENT · 2014 to 2015
$265k
NCI NIH HHS U54 CA151459NCI NIH HHS U54 CA199075NHLBI NIH HHS DP2 HL137187NHLBI NIH HHS K99 HL117048NHLBI NIH HHS R00 HL117048
6 · The paper itself

Abstract

Raman microspectroscopy provides chemo-selective image contrast, sub-micrometer resolution, and multiplexing capabilities. However, it suffers from weak signals resulting in image-acquisition times of up to several hours. Surface-enhanced Raman scattering (SERS) can dramatically enhance signals of molecules in close vicinity of metallic surfaces and overcome this limitation. Multimodal, SERS-active nanoparticles are usually labeled with Raman marker molecules, limiting SERS to the coating material. In order to realize multimodal imaging while acquiring the rich endogenous vibronic information of the specimen, a core-shell particle based on "Nanorice", where a spindle-shaped iron oxide core is encapsulated by a closed gold shell, is developed. An ultrathin layer of silica prevents agglomeration and unwanted chemical interaction with the specimen. This approach provides Raman signal enhancement due to plasmon resonance effects of the shell while the optical absorption in the near-infrared spectral region provides contrast in photoacoustic tomography. Finally, T2-relaxation of a magnetic resonance imaging (MRI) experiment is altered by taking advantage of the iron oxide core. The feasibility for Raman imaging is evaluated by nearfield simulations and experimental studies on the primate cell line COS1. MRI and photoacoustics are demonstrated in agarose phantoms illustrating the promising translational nature of this strategy for clinical applications in radiology.

Indexed as

DustSpectrum Analysis, RamanAnimalsChlorocebus aethiopsComputer SimulationContrast MediaCOS CellsMagnetic Resonance ImagingNanoparticlesPhantoms, ImagingPhotoacoustic TechniquesContrast MediaDustmagnetic resonance imaging (MRI)molecular imagingphotoacoustic imagingradiologysurface-enhanced Raman scattering

Identifiers

PMID29635739
PMCPMC6200319

What OpenQuestion holds

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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.