Evidence map›Paper›PMID 24487698›Full record

ArticlePhysics in medicine and biology2014

Detecting hepatic steatosis using ultrasound-induced thermal strain imaging: an ex vivo animal study.

Ahmed M Mahmoud, Xuan Ding, Debaditya Dutta, Vijay P Singh, Kang Kim

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Thermometry and ablation monitoring with ultrasound.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2015
    Review
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

5 authors.

Ahmed M MahmoudCenter for Ultrasound Molecular Imaging and Therapeutics, Department of Medicine, University of Pittsburgh School of Medicine, Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA. Department of Systems and Biomedical Engineering, Cairo University, Giza, 12613, Egypt.
Xuan Ding
Debaditya Dutta
Vijay P Singh
Kang Kim

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Ultrasound-induced Thermal Strain Imaging for Arterial Plaque CharacterizationR01HL098230 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIM, KANG · 2010 to 2014
$1.8M
High-resolution ultrasound in-vivo animal imaging system-Vevo2100S10RR027383 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIM, KANG · 2010 to 2010
$498k
NCRR NIH HHS 1S10RR027383-01NCRR NIH HHS S10 RR027383NHLBI NIH HHS R01 HL098230NHLBI NIH HHS R01 HL098230-01A1NHLBI NIH HHS T32 HL076124
6 · The paper itself

Abstract

Hepatic steatosis or fatty liver disease occurs when lipids accumulate within the liver and can lead to steatohepatitis, cirrhosis, liver cancer and eventual liver failure requiring liver transplant. Conventional brightness mode (B-mode) ultrasound (US) is the most common noninvasive diagnostic imaging modality used to diagnose hepatic steatosis in clinics. However, it is mostly subjective or requires a reference organ such as the kidney or spleen with which to compare. This comparison can be problematic when the reference organ is diseased or absent. The current work presents an alternative approach to noninvasively detecting liver fat content using US-induced thermal strain imaging (US-TSI). This technique is based on the difference in the change in the speed of sound as a function of temperature between water- and lipid-based tissues. US-TSI was conducted using two system configurations including a mid-frequency scanner with a single linear array transducer (5-14 MHz) for both imaging and heating and a high-frequency (13-24 MHz) small animal imaging system combined with a separate custom-designed US heating transducer array. Fatty livers (n = 10) with high fat content (45.6 ± 11.7%) from an obese mouse model and control livers (n = 10) with low fat content (4.8 ± 2.9%) from wild-type mice were embedded in gelatin. Then, US imaging was performed before and after US induced heating. Heating time periods of ∼ 3 s and ∼ 9.2 s were used for the mid-frequency imaging and high-frequency imaging systems, respectively, to induce temperature changes of approximately 1.5 °C. The apparent echo shifts that were induced as a result of sound speed change were estimated using 2D phase-sensitive speckle tracking. Following US-TSI, histology was performed to stain lipids and measure percentage fat in the mouse livers. Thermal strain measurements in fatty livers (-0.065 ± 0.079%) were significantly (p < 0.05) higher than those measured in control livers (-0.124 ± 0.037%). Using histology as a gold standard to classify mouse livers, US-TSI had a sensitivity and specificity of 70% and 90%, respectively. The area under the receiver operating characteristic curve was 0.775. This ex vivo study demonstrates the feasibility of using US-TSI to detect fatty livers and warrants further investigation of US-TSI as a diagnostic tool for hepatic steatosis.

Indexed as

TemperatureAnimalsFatty LiverImage Processing, Computer-AssistedLiverMiceROC CurveUltrasonography

Identifiers

PMID24487698
PMCPMC3971123

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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.