Evidence map›Paper›PMID 41456365›Full record

ArticleUltrasonics2026

Optimized ultrasound imaging of phase-change nanodroplets.

Charles R Dyall, Dmitry Nevozhay, Andy Liu, Trevor M Mitcham, George J Lu, Konstantin V Sokolov, Richard R Bouchard

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Charles R DyallDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1881 East Road, Houston 77054 TX, United States. Electronic address: crdyall@unc.edu.
Dmitry NevozhayDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1881 East Road, Houston 77054 TX, United States. Electronic address: dnevozhay@mdanderson.org.
Andy LiuDepartment of Bioengineering, Rice University, BioScience Research Collaborative, 6500 Main Street, Suite 1030, Houston, TX 77030, United States. Electronic address: al168@rice.edu.
Trevor M MitchamDepartment of Imaging Sciences, University of Rochester, 601 Elmwood Avenue Imaging Sciences - Box 648. Rochester, NY 14642-8648, United States. Electronic address: Trevor_Mitcham@urmc.rochester.edu.
George J LuDepartment of Bioengineering, Rice University, BioScience Research Collaborative, 6500 Main Street, Suite 1030, Houston, TX 77030, United States. Electronic address: george.lu@rice.edu.
Konstantin V SokolovDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1881 East Road, Houston 77054 TX, United States; UTHealth MD Anderson Graduate School of Biomedical Sciences, 6767 Bertner Avenue, S3.8344 Mitchell BSRB, Houston 77030 TX, United States; Department of Bioengineering, Rice University, BioScience Research Collaborative, 6500 Main Street, Suite 1030, Houston, TX 77030, United States; Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin 78712 TX, United States. Electronic address: ksokolov@mdanderson.org.
Richard R BouchardDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1881 East Road, Houston 77054 TX, United States; UTHealth MD Anderson Graduate School of Biomedical Sciences, 6767 Bertner Avenue, S3.8344 Mitchell BSRB, Houston 77030 TX, United States. Electronic address: rrbouchard@mdanderson.org.

Funding

Molecular Photoacoustic Imaging for Diagnostics and Therapy MonitoringR01EB028762 · NIBIB · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BOUCHARD, RICHARD R. · 2020 to 2024
$3.1M
Ultrasensitive acoustic reporter proteins with engineered rupture-resistant shellsR21EB033607 · NIBIB · RICE UNIVERSITY · PI LU, GEORGE J · 2022 to 2024
$609k
NIBIB NIH HHS R01 EB028762NIBIB NIH HHS R21 EB033607
6 · The paper itself

Abstract

Phase-change nanodroplets (PCNDs) continue to generate significant research interest due to their potential to extravasate into tissue, to be targeted for molecular imaging and drug delivery, and to undergo an induced phase-change to "activated" microbubbles (MBs) for ultrasound (US) imaging. To accurately quantify molecular markers, however, one assumes a consistent proportion of PCNDs in a region of interest (ROI) are stably activated and imaged. Herein we present a framework for developing a diagnostic sequence that is optimized for PCND activation uniformity, contrast, and acquisition time. To develop this framework, activation was examined at three scales of increasing complexity: single, adjacent, and full ROI activation(s). First, transmit parameters for a single activation were optimized using PCNDs across concentrations (1.0 × 10

Indexed as

MicrobubblesNanoparticlesContrast MediaPhantoms, ImagingPhase TransitionSignal-To-Noise RatioUltrasonographyContrast Media

Identifiers

PMID41456365
PMCPMC13367788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.