Evidence map›Paper›PMID 22308105›Full record

ArticleCurrent medical imaging reviews2011

AN OVERVIEW OF ELASTOGRAPHY - AN EMERGING BRANCH OF MEDICAL IMAGING.

Armen Sarvazyan, Timothy J Hall, Matthew W Urban, Mostafa Fatemi, Salavat R Aglyamov, Brian S Garra

3 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Current medical imaging reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 166 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 4 pooled it
12.0field-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.

NCT04387877 nacompletednot on this mapstarted 2019, after this paper: background citation

The Effect of Graston Technique in Deep Gluteal Syndrome

TypeinterventionalSponsorKoç UniversityRan2019 to 2022Enrolled22ConditionsDeep Gluteal Syndrome, Piriformis SyndromeArmsGraston, Sham
NCT05419414 nacompletednot on this mapstarted 2018, after this paper: background citation

The Use of Shear Wave Elastography, Transvaginal Ultrasound and Pelvic MRI in the Diagnosis of Adenomyosis

TypeinterventionalSponsorIstanbul UniversityRan2018 to 2022Enrolled65ConditionsAdenomyosis, Elastography, Transvaginal Ultrasound, Fibroid UterusArmsShear wave elastography
NCT05608824 nacompletednot on this mapstarted 2023, after this paper: background citation

Evaluation of Lower Extremity Athletic Injuries and Response to Treatment Using Shear Wave Elastography and Micro-vascular Flow Imaging

TypeinterventionalSponsorOregon Health and Science UniversityRan2023 to 2025Enrolled9ConditionsLower Extremity Musculoskeletal InjuryArmsShear wave elastography and microvascular flow imaging.
3 · Its place in the literature

Who cites it

166 citing papers in PubMed, 4 syntheses or guidelines pooled it, 410 citations in OpenAlex.

  1. Pooled it
  2. Applications of elastography in operative neurosurgery: A systematic review.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Multimodal ultrasound assessment of ovarian reserve.Abdominal radiology (New York) · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Ultrasound Elastography in Benign Gynecology: A Scoping Review.Reproductive sciences (Thousand Oaks, Calif.) · 2024
    Article
  18. Article
  19. Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  20. Review

106 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

6 authors at 2 institutions in 1 country.

Armen SarvazyanArtann Laboratories, Trenton, NJ 08618 USA.
Timothy J Hall
Matthew W Urban
Mostafa Fatemi
Salavat R Aglyamov
Brian S Garra
The University of Texas at Austin · USUniversity of Wisconsin–Madison · US

Funding

Utility of serum and Tissue Biomarkers for Predicting Response to Androgen DeprivP50CA091956 · NCI · MAYO CLINIC ROCHESTER · PI TINDALL, DONALD J. · 2001 to 2010
$23.4M
PORTABLE IMAGING DEVICE FOR PROSTATE CANCER DETECTIONR44CA082620 · NCI · ARTANN LABORATORIES, INC. · PI SARVAZYAN, ARMEN · 2002 to 2009
$4.2M
Quantitative Mechanical Imaging for Improving Breast Ultrasound DiagnosisR01CA140271 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI HALL, TIMOTHY J · 2009 to 2013
$3.0M
Vaginal Tactile Imager for Pelvic Floor Biomechanical AssessmentR44AG034714 · NIA · ARTANN LABORATORIES, INC. · PI EGOROV, VLADIMIR · 2011 to 2014
$2.6M
IMAGING NETWORK FOR BREAST CANCER MASS SCREENINGR44CA091392 · NCI · ARTANN LABORATORIES, INC. · PI SARVAZYAN, ARMEN · 2004 to 2007
$2.2M
In Vivo Breast Imaging and Tissue Evaluation by Vibro-acoustic MethodsR01CA127235 · NCI · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA · 2007 to 2011
$1.6M
Breast vibroacoustography with array probeR21CA121579 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA · 2007 to 2008
$631k
Feasibility of In-vivo Determination of Absolute Elastic TissueR21CA133488 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI HALL, TIMOTHY J · 2008 to 2009
$441k
Vaginal Tactile Imager for Pelvic Floor Biomechanical AssessmentR43AG034714 · NIA · ARTANN LABORATORIES, INC. · PI EGOROV, VLADIMIR · 2009 to 2009
$208k
USE OF A TACTILE BREAST IMAGER FOR MASS PRE-SCREENINGR43CA094444 · NCI · ARTANN LABORATORIES, INC. · PI SARVAZYAN, ARMEN · 2002 to 2002
$131k
NEW SCREENING METHOD FOR DETECTION OF BREAST CANCERR44CA069175 · NCI · ARTANN LABORATORIES, INC. · PI SARVAZYAN, ARMEN · 1998 to 1999
–
NCI NIH HHS P50 CA091956NCI NIH HHS R01 CA127235NCI NIH HHS R01 CA140271NCI NIH HHS R21 CA121579NCI NIH HHS R21 CA133488NCI NIH HHS R43 CA094444NCI NIH HHS R44 CA069175NCI NIH HHS R44 CA082620NCI NIH HHS R44 CA091392NIA NIH HHS R43 AG034714NIA NIH HHS R44 AG034714
6 · The paper itself

Abstract

From times immemorial manual palpation served as a source of information on the state of soft tissues and allowed detection of various diseases accompanied by changes in tissue elasticity. During the last two decades, the ancient art of palpation gained new life due to numerous emerging elasticity imaging (EI) methods. Areas of applications of EI in medical diagnostics and treatment monitoring are steadily expanding. Elasticity imaging methods are emerging as commercial applications, a true testament to the progress and importance of the field.In this paper we present a brief history and theoretical basis of EI, describe various techniques of EI and, analyze their advantages and limitations, and overview main clinical applications. We present a classification of elasticity measurement and imaging techniques based on the methods used for generating a stress in the tissue (external mechanical force, internal ultrasound radiation force, or an internal endogenous force), and measurement of the tissue response. The measurement method can be performed using differing physical principles including magnetic resonance imaging (MRI), ultrasound imaging, X-ray imaging, optical and acoustic signals.Until recently, EI was largely a research method used by a few select institutions having the special equipment needed to perform the studies. Since 2005 however, increasing numbers of mainstream manufacturers have added EI to their ultrasound systems so that today the majority of manufacturers offer some sort of Elastography or tissue stiffness imaging on their clinical systems. Now it is safe to say that some sort of elasticity imaging may be performed on virtually all types of focal and diffuse disease. Most of the new applications are still in the early stages of research, but a few are becoming common applications in clinical practice.

Identifiers

PMID22308105
PMCPMC3269947
OpenAlexW2060654102

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.