Evidence map›Paper›PMID 19036394›Full record

ArticleUltrasonics2009

Application of the dual-frequency ultrasonometer for osteoporosis detection.

Armen Sarvazyan, Alexey Tatarinov, Vladimir Egorov, Souren Airapetian, Victor Kurtenok, Charles J Gatt

Abstract readEvaluation Study
In one paragraph

Article in Ultrasonics, 2009. 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
2.7field-weighted citation impact, top 11% 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, 40 citations in OpenAlex.

  1. Article
  2. Axial Transmission: Techniques, Devices and Clinical Results.Advances in experimental medicine and biology · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Wave dispersion and attenuation on human femur tissue.Sensors (Basel, Switzerland) · 2014
    Article
  8. Article
  9. Article
  10. Ultrasound to assess bone quality.Current osteoporosis reports · 2014
    Article
  11. Article
  12. Discrimination of fractures by low-frequency axial transmission ultrasound in postmenopausal females.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2013
    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

6 authors at 2 institutions in 1 country.

Armen SarvazyanArtann Laboratories, 1459 Lower Ferry Rd, Trenton, New Jersey 08618-1414, USA. armen@artannlabs.com
Alexey Tatarinov
Vladimir Egorov
Souren Airapetian
Victor Kurtenok
Charles J Gatt
Artann Laboratories, Inc. · USOrthopaedic Research Laboratories · US

Funding

PORTABLE ULTRASONOMETER for OSTEOPOROSIS ASSESSMENTR44AG017400 · NIA · ARTANN LABORATORIES, INC. · PI SARVAZYAN, ARMEN · 2001 to 2010
$2.5M
NIA NIH HHS R44 AG017400PHS HHS G017400
6 · The paper itself

Abstract

The paper presents results of a clinical validation study of Bone UltraSonic Scanner (BUSS), a novel dual-frequency axial transmission ultrasonometer, developed by Artann Laboratories. Assessment of bone conditions is based on evaluating relative changes of the axial profiles of ultrasonic characteristics in long bones and utilizes bulk and guided acoustic waves. The objective of this study was to determine the ability of BUSS to discriminate osteoporosis development stages. A total of 93 menopausal and post-menopausal women divided into five groups from normal to advanced osteoporosis according to their DXA hip t-score were enrolled in the study. The 2D waveform profiles at low (0.1 MHz) and high (1 MHz) frequencies were obtained by scanning 15 cm along the proximal tibia. A multi-parametric linear classifier based on a set of the parameters derived from 2D acoustic waveform profiles has been developed. The efficiency of this classifier in differentiating osteoporosis from a normal sample was assessed using a receiver operating characteristic (ROC) curve analysis. Based on the ROC analysis, BUSS demonstrated 76% sensitivity and 70% specificity to DXA-identified osteoporosis. The area under the ROC curve, which is a measure of how well a parameter can distinguish between the two diagnostic groups (diseased/normal) was 79.3%. The study confirmed BUSS's capability to discriminate between stages of bone atrophy and in particular to distinguish early changes induced by osteoporosis.

Indexed as

AgedAged, 80 and overFemaleHumansImage EnhancementMiddle AgedOsteoporosisReproducibility of ResultsSensitivity and SpecificityUltrasonography

Identifiers

PMID19036394
PMCPMC2788614
OpenAlexW2016214299

What OpenQuestion holds

Textmetadata
LicenceTDM
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.