Evidence map›Paper›PMID 40015999›Full record

ArticleUltrasound in medicine & biology2025

Acoustic Cavitation Emissions Predict Near-complete/complete Histotripsy Treatment in Soft Tissues.

Scott C Haskell, Ellen Yeats, Jiaqi Shi, Tim Hall, J Brian Fowlkes, Zhen Xu, Jonathan R Sukovich

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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.

Scott C HaskellDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. Electronic address: haskells@umich.edu.
Ellen YeatsDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Jiaqi ShiDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Tim HallDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
J Brian FowlkesDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Zhen XuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Jonathan R SukovichDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

Funding

Defining epigenetic signaling to reshape pancreatic tumor microenvironmentR37CA262209 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jiaqi Shi · 2022 to 2026
$2.3M
Ultrasound-guided Ultra-steerable Histotripsy Array System for Non-invasive treatment of Soft Tissue SarcomaR01EB034399 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Zhen Xu · 2023 to 2026
$2.2M
Acoustic Cavitation Emission (ACE) Feedback Methods for Monitoring Histotripsy-Induced Tissue Fractionation In SituR01EB032772 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SUKOVICH, JONATHAN ROBERT · 2022 to 2025
$2.0M
Aberration Correction for Histotripsy Ablation of LiverR01CA282200 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Timothy L Hall · 2024 to 2026
$1.7M
NCI NIH HHS R01 CA282200NCI NIH HHS R37 CA262209NIBIB NIH HHS R01 EB032772NIBIB NIH HHS R01 EB034399
6 · The paper itself

Abstract

objectiveHistotripsy is a non-invasive acoustic ablation technique that leverages cavitation to impart mechanical damage to a viscoelastic medium, such as tissue. Although histotripsy bubbles and lesions can be imaged with a variety of modalities, reliable methods to predict tissue disruption across different tissue-types remain to be determined. APPROACH: Several ex-vivo bovine tissues were ablated by intrinsic threshold histotripsy over a range of pulse-per-location acoustic doses. Acoustic Cavitation Emission (ACE) signals were captured following every other therapeutic pulse using transmit-receive capable histotripsy arrays. Final bubble lifespan, lifespan-slope, and percent-reduction were calculated and correlated against histologic necrosis score (0-5: 0=0% necrosis, 5=>95% necrosis) and residual structure score (0-4: 0=none present, 4=intact) to evaluate the ability of features from ACE-signals to predict histotripsy-induced damage. Further, optimal ACE-feature thresholds were determined for binary evaluation of whether a necrosis score equal or greater than 4 had been reached.

resultsMeasured lifespans increased and lifespan-slopes decreased with pulses per location (ppl) and eventually plateaued in all tissue types, in similar trends to those previously observed in tissue phantoms. Necrosis score increased and residual structure decreased with increasing acoustic dose. Bubble lifespan-slope and percent-reduction correlated well with necrosis score. Thresholds able to predict the necrosis score of 4 or greater in brain, liver, and kidney were calculated with high sensitivity/specificity (>80%). The necrosis score of 4 and 5 is expected to correspond to near-complete/complete ablation by histological evaluation.

conclusionFeatures measured from ACE-signals, particularly the lifespan-slope and percent reduction, were used to predict near-complete/complete ablation of large-volume histotripsy treatments in ex vivo bovine liver, kidney, and brain tissues with good accuracy. Tissue heterogeneities were observed to impact the histotripsy damage and corresponding ACE-signals, and thus the predication accuracy.

Indexed as

High-Intensity Focused Ultrasound AblationAnimalsCattleLivercavitationhistotripsytherapeutic ultrasoundtreatment monitoring

Identifiers

PMID40015999
PMCPMC11925334

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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.