Evidence map›Paper›PMID 26947445›Full record

ArticleUltrasound in medicine & biology2016

Identifying Clinically Significant Prostate Cancers using 3-D In Vivo Acoustic Radiation Force Impulse Imaging with Whole-Mount Histology Validation.

Mark L Palmeri, Tyler J Glass, Zachary A Miller, Stephen J Rosenzweig, Andrew Buck, Thomas J Polascik, Rajan T Gupta, Alison F Brown, John Madden, Kathryn R Nightingale

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Ultrasound in medicine & biology, 2016. 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
3.0field-weighted citation impact, top 9% 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, 47 citations in OpenAlex.

  1. Trial
  2. Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Deep Convolutional Neural Networks for Displacement Estimation in ARFI Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Automated Compression Device for Viscoelasticity Imaging.IEEE transactions on bio-medical engineering · 2017
    Article
  12. Article
  13. 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

10 authors at 3 institutions in 1 country.

Mark L PalmeriDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA. Electronic address: mark.palmeri@duke.edu.
Tyler J GlassDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Zachary A MillerDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Stephen J RosenzweigDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Andrew BuckDepartment of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
Thomas J PolascikDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Rajan T GuptaDepartment of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
Alison F BrownSchool of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
John MaddenDepartment of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
Kathryn R NightingaleDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Duke University · USDuke Medical Center · USDuke University Hospital · US

Funding

Monitoring Changes in Cervical Microstructure During PregnancyR01HD072077 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI FELTOVICH, HELEN, HALL, TIMOTHY J · 2013 to 2022
$6.1M
Radiation Force Imaging of Prostate Cancer and Guidance of Biopsy ProceduresR01CA142824 · NCI · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2010 to 2021
$4.4M
Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
Prostate Cancer Assessment Via Integrated 3D ARFI Elasticity Imaging and Multi-Parametric MRIR41CA196565 · NCI · KITWARE, INC. · PI MCCORMICK, MATTHEW, PALMERI, MARK L. · 2015 to 2015
$150k
NCI NIH HHS R01 CA142824NCI NIH HHS R41 CA196565NIBIB NIH HHS T32 EB001040NICHD NIH HHS R01 HD072077
6 · The paper itself

Abstract

Overly aggressive prostate cancer (PCa) treatment adversely affects patients and places an unnecessary burden on our health care system. The inability to identify and grade clinically significant PCa lesions is a factor contributing to excessively aggressive PCa treatment, such as radical prostatectomy, instead of more focal, prostate-sparing procedures such as cryotherapy and high-dose radiation therapy. We have performed 3-D in vivo B-mode and acoustic radiation force impulse (ARFI) imaging using a mechanically rotated, side-fire endorectal imaging array to identify regions suspicious for PCa in 29 patients being treated with radical prostatectomies for biopsy-confirmed PCa. Whole-mount histopathology analyses were performed to identify regions of clinically significant/insignificant PCa lesions, atrophy and benign prostatic hyperplasia. Regions of suspicion for PCa were reader-identified in ARFI images based on boundary delineation, contrast, texture and location. These regions of suspicion were compared with histopathology identified lesions using a nearest-neighbor regional localization approach. Of all clinically significant lesions identified on histopathology, 71.4% were also identified using ARFI imaging, including 79.3% of posterior and 33.3% of anterior lesions. Among the ARFI-identified lesions, 79.3% corresponded to clinically significant PCa lesions, with these lesions having higher indices of suspicion than clinically insignificant PCa. ARFI imaging had greater sensitivity for posterior versus anterior lesions because of greater displacement signal-to-noise ratio and finer spatial sampling. Atrophy and benign prostatic hyperplasia can cause appreciable prostate anatomy distortion and heterogeneity that confounds ARFI PCa lesion identification; however, in general, ARFI regions of suspicion did not coincide with these benign pathologies.

Indexed as

Elasticity Imaging TechniquesHumansImaging, Three-DimensionalMaleProstateProstatic NeoplasmsReproducibility of ResultsSignal-To-Noise RatioAcoustic radiation force impulse imagingCancerProstate

Identifiers

PMID26947445
PMCPMC4860099
OpenAlexW2289397264

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.