Evidence map›Paper›PMID 26863659›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2016

Bubble-Induced Color Doppler Feedback for Histotripsy Tissue Fractionation.

Ryan M Miller, Xi Zhang, Adam D Maxwell, Charles A Cain, Zhen Xu

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Chirp-Coded Subharmonic Imaging With Volterra Filtering: Histotripsy Bubble Cloud Assessment In Vitro and Ex Vivo.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    Article
  3. Article
  4. Overview of Therapeutic Ultrasound Applications and Safety Considerations: 2024 Update.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
    Review
  5. Article
  6. Article
  7. Contrast-Enhanced Imaging of Histotripsy Bubble Clouds Using Chirp-Coded Excitation and Volterra Filtering.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    Article
  8. The histotripsy spectrum: differences and similarities in techniques and instrumentation.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023
    Review
  9. Quantitative Assessment of Boiling Histotripsy Progression Based on Color Doppler Measurements.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

5 authors at 1 institution in 1 country.

Ryan M Miller
Xi Zhang
Adam D Maxwell
Charles A Cain
Zhen Xu
University of Michigan–Ann Arbor · US

Funding

Image-Guided Non-Invasive Ultrasonic Thrombolysis Using HistotripsyR01EB008998 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI XU, ZHEN · 2008 to 2017
$4.5M
High-Speed Optical Imaging for Medical Diagnosis and TherapyS10RR022425 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRIPFGANS, OLIVER D · 2007 to 2007
$499k
Novel Ultrasonic Technology to Treat Hemorrhagic StrokeR21NS093121 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI XU, ZHEN · 2015 to 2016
$426k
NCRR NIH HHS S10 RR022425NIBIB NIH HHS R01 EB008998NIBIB NIH HHS R01EB008998NINDS NIH HHS R21 NS093121NINDS NIH HHS R21NS093121
6 · The paper itself

Abstract

Histotripsy therapy produces cavitating bubble clouds to increasingly fractionate and eventually liquefy tissue using high-intensity ultrasound pulses. Following cavitation generated by each pulse, coherent motion of the cavitation residual nuclei can be detected using metrics formed from ultrasound color Doppler acquisitions. In this paper, three experiments were performed to investigate the characteristics of this motion as real-time feedback on histotripsy tissue fractionation. In the first experiment, bubble-induced color Doppler (BCD) and particle image velocimetry (PIV) analysis monitored the residual cavitation nuclei in the treatment region in an agarose tissue phantom treated with two-cycle histotripsy pulses at [Formula: see text] using a 500-kHz transducer. Both BCD and PIV results showed brief chaotic motion of the residual nuclei followed by coherent motion first moving away from the transducer and then rebounding back. Velocity measurements from both PIV and BCD agreed well, showing a monotonic increase in rebound time up to a saturation point for increased therapy dose. In a second experiment, a thin layer of red blood cells (RBC) was added to the phantom to allow quantification of the fractionation of the RBC layer to compare with BCD metrics. A strong linear correlation was observed between the fractionation level and the time to BCD peak rebound velocity over histotripsy treatment. Finally, the correlation between BCD feedback and histotripsy tissue fractionation was validated in ex vivo porcine liver evaluated histologically. BCD metrics showed strong linear correlation with fractionation progression, suggesting that BCD provides useful quantitative real-time feedback on histotripsy treatment progression.

Indexed as

Signal Processing, Computer-AssistedAnimalsElasticity Imaging TechniquesHigh-Intensity Focused Ultrasound AblationImage Processing, Computer-AssistedLithotripsyLiverPhantoms, ImagingSwineUltrasonography, Doppler, Color

Identifiers

PMID26863659
PMCPMC4838481
OpenAlexW2296307187

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.