Evidence map›Paper›PMID 38471999›Full record

ArticleUltrasound in medicine & biology2024

In Vivo Validation of an In Situ Calibration Bead as a Reference for Backscatter Coefficient Calculation.

Yuning Zhao, Gregory J Czarnota, Trevor H Park, Rita J Miller, Michael L Oelze

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Ultrasound in medicine & biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Toward Real-Time Backscatter Coefficient Estimation Incorporating the U-Net Segmentation and an In Vivo Reference Target.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
    Article
4 · The record

Corrections and comments

  • Update of
    2024
5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Yuning ZhaoDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Gregory J CzarnotaDepartment of Medical Biophysics and Radiation Oncology, University of Toronto, Toronto, ON, Canada; Department of Imaging Research and Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Trevor H ParkComputing Applications Building, Champaign, IL, USA.
Rita J MillerDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Michael L OelzeDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA. Electronic address: oelze@illinois.edu.
University of Illinois Urbana-Champaign · USSunnybrook Health Science Centre · CA

Funding

Developing a quantitative ultrasound breast scanner for identifying early response of breast cancer to chemotherapyR01CA273700 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Gregory Jan Czarnota, Michael L. Oelze · 2022 to 2026
$2.5M
Use of Radiological Clips for Improving Quantitative Ultrasound ImagingR01CA251939 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI OELZE, MICHAEL L. · 2020 to 2024
$2.0M
Development of radiological clips having ultrasound identificationR21EB030743 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI OELZE, MICHAEL L. · 2021 to 2022
$410k
Development of super resolution ultrasound for detecting microcalcificationsR21EB024133 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI OELZE, MICHAEL L. · 2018 to 2019
$403k
NCI NIH HHS R01 CA251939NCI NIH HHS R01 CA273700NIBIB NIH HHS R21 EB024133NIBIB NIH HHS R21 EB030743
6 · The paper itself

Abstract

objectiveThe study described here was aimed at assessing the capability of quantitative ultrasound (QUS) based on the backscatter coefficient (BSC) for classifying disease states, such as breast cancer response to neoadjuvant chemotherapy and quantification of fatty liver disease. We evaluated the effectiveness of an in situ titanium (Ti) bead as a reference target in calibrating the system and mitigating attenuation and transmission loss effects on BSC estimation.

methodsTraditional BSC estimation methods require external references for calibration, which do not account for ultrasound attenuation or transmission losses through tissues. To address this issue, we used an in situ Ti bead as a reference target, because it can be used to calibrate the system and mitigate the attenuation and transmission loss effects on estimation of the BSC. The capabilities of the in situ calibration approach were assessed by quantifying consistency of BSC estimates from rabbit mammary tumors (N = 21). Specifically, mammary tumors were grown in rabbits and when a tumor reached ≥1 cm in size, a 2 mm Ti bead was implanted in the tumor as a radiological marker and a calibration source for ultrasound. Three days later, the tumors were scanned with an L-14/5 38 array transducer connected to a SonixOne scanner with and without a slab of pork belly placed on top of the tumors. The pork belly acted as an additional source of attenuation and transmission loss. QUS parameters, specifically effective scatterer diameter (ESD) and effective acoustic concentration (EAC), were calculated using calibration spectra from both an external reference phantom and the Ti bead.

resultsFor ESD estimation, the 95% confidence interval between measurements with and without the pork belly layer was 6.0, 27.4 using the in situ bead and 114, 135.1 with the external reference phantom. For EAC estimation, the 95% confidence intervals were -8.1, 0.5 for the bead and -41.5, -32.2 for the phantom. These results indicate that the in situ bead method has reduced bias in QUS estimates because of intervening tissue losses.

conclusionThe use of an in situ Ti bead as a radiological marker not only serves its traditional role but also effectively acts as a calibration target for QUS methods. This approach accounts for attenuation and transmission losses in tissue, resulting in more accurate QUS estimates and offering a promising method for enhanced disease state classification in clinical settings.

Indexed as

Scattering, RadiationAnimalsCalibrationFemalePhantoms, ImagingRabbitsReproducibility of ResultsTitaniumUltrasonographyUltrasonography, MammaryTitaniumBackscatter coefficientIn vivo referenceQuantitative ultrasound

Identifiers

PMID38471999
PMCPMC12208686
OpenAlexW4392711384

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.