Evidence map›Paper›PMID 30109195›Full record

ArticlePhotoacoustics2018

Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets.

Brittani L Bungart, Lu Lan, Pu Wang, Rui Li, Michael O Koch, Liang Cheng, Timothy A Masterson, Murat Dundar, Ji-Xin Cheng

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 30 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

9 authors at 4 institutions in 1 country.

Brittani L BungartWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Lu LanDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Pu WangVibronix Inc., West Lafayette, IN, USA.
Rui LiWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Michael O KochDepartment of Urology, Indiana University School of Medicine, Indianapolis, IN, USA.
Liang ChengDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Timothy A MastersonDepartment of Urology, Indiana University School of Medicine, Indianapolis, IN, USA.
Murat DundarComputer and Information Science Department, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Ji-Xin ChengDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Indiana University School of MedicineBoston University · USPurdue University West Lafayette · USUniversity of Indianapolis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is poorly visualized on ultrasonography (US) so that current biopsy requires either a templated technique or guidance after fusion of US with magnetic resonance imaging. Here we determined the ability for photoacoustic tomography (PAT) and US followed by texture-based image processing to identify prostate biopsy targets. K-means clustering feature learning and testing was performed on separate datasets comprised of 1064 and 1197 nm PAT and US images of intact,

Indexed as

K-means clusteringPhotoacoustic imagingProstateTargeted biopsyTexture image processing

Identifiers

PMID30109195
PMCPMC6088561
OpenAlexW2886156168

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.