Evidence map›Paper›PMID 27429141›Full record

ReviewRadiology2016

Photoacoustic Imaging in Oncology: Translational Preclinical and Early Clinical Experience.

Keerthi S Valluru, Katheryne E Wilson, Jürgen K Willmann

Abstract readReview
In one paragraph

Review in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
14.5field-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

82 citing papers in PubMed, 193 citations in OpenAlex.

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22 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Keerthi S ValluruFrom the Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, 300 Pasteur Dr, Room H1307, Stanford, CA 94305-5621.
Katheryne E WilsonFrom the Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, 300 Pasteur Dr, Room H1307, Stanford, CA 94305-5621.
Jürgen K WillmannFrom the Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, 300 Pasteur Dr, Room H1307, Stanford, CA 94305-5621.
Stanford University · US

Funding

Stanford Molecular Imaging Scholars - SMISR25CA118681 · NCI · STANFORD UNIVERSITY · PI LEVIN, CRAIG S · 2006 to 2015
$5.0M
Molecular Ultrasound for Early Breast Cancer DetectionR01CA155289 · NCI · STANFORD UNIVERSITY · PI WILLMANN, JUERGEN KARL · 2011 to 2015
$1.6M
NCI NIH HHS R01 CA155289NCI NIH HHS R25 CA118681
6 · The paper itself

Abstract

Photoacoustic imaging has evolved into a clinically translatable platform with the potential to complement existing imaging techniques for the management of cancer, including detection, characterization, prognosis, and treatment monitoring. In photoacoustic imaging, tissue is optically excited to produce ultrasonographic images that represent a spatial map of optical absorption of endogenous constituents such as hemoglobin, fat, melanin, and water or exogenous contrast agents such as dyes and nanoparticles. It can therefore provide functional and molecular information that allows noninvasive soft-tissue characterization. Photoacoustic imaging has matured over the years and is currently being translated into the clinic with various clinical studies underway. In this review, the current state of photoacoustic imaging is presented, including techniques and instrumentation, followed by a discussion of potential clinical applications of this technique for the detection and management of cancer. (©) RSNA, 2016.

Indexed as

HumansMedical OncologyNeoplasmsPhotoacoustic Techniques

Identifiers

PMID27429141
PMCPMC4976462
OpenAlexW2486475652

What OpenQuestion holds

Textmetadata
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.