Evidence map›Paper›PMID 39270446›Full record

ArticleJournal of the mechanical behavior of biomedical materials2024

Needle-induced cavitation: A method to probe the local mechanics of brain tissue.

Carey E Dougan, Hongbo Fu, Alfred J Crosby, Shelly R Peyton

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Fracking in Tumors: A Key Drug Transport Mechanism.Annals of biomedical engineering · 2026
    Article
  3. Article
  4. Review
  5. 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

4 authors.

Carey E DouganChemical Engineering Department, University of Massachusetts, Amherst, USA.
Hongbo FuPolymer Science and Engineering Department, University of Massachusetts, Amherst, USA.
Alfred J CrosbyPolymer Science and Engineering Department, University of Massachusetts, Amherst, USA. Electronic address: acrosby@umass.edu.
Shelly R PeytonChemical Engineering Department, University of Massachusetts, Amherst, USA; Biomedical Engineering Department, Tufts University, Medford, Massachusetts, USA. Electronic address: speyton@umass.edu.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
Chemistry-Biology Interface Predoctoral Training GrantT32GM139789 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ERIC Robert STRIETER · 2021 to 2026
$3.4M
NIGMS NIH HHS T32 GM008515NIGMS NIH HHS T32 GM139789
6 · The paper itself

Abstract

Traditional mechanical characterization of extremely soft tissues is challenging given difficulty extracting tissue, satisfying geometric requirements, keeping tissues hydrated, and securing the tissue in an apparatus without slippage. The heterogeneous nature and structural complexity of brain tissues on small length scales makes it especially difficult to characterize. Needle-induced cavitation (NIC) is a technique that overcomes these issues and can mechanically characterize brain tissues at precise, micrometer-scale locations. This small-scale capability is crucial in order to spatially characterize diseased tissue states like fibrosis or cancer. NIC consists of inserting a needle into a tissue and pressurizing a fluid until a deformation occurs at the tip of the needle at a critical pressure. NIC is a convenient, affordable technique to measure mechanical properties, such as modulus and fracture energy, and to assess the performance of soft materials. Experimental parameters such as needle size and fluid flowrate are tunable, so that the end-user can control the length and time scales, making it uniquely capable of measuring local mechanical properties across a wide range of strain rates. The portable nature of NIC and capability to conduct in vivo experiments makes it a particularly appealing characterization technique compared to traditional methods. Despite significant developments in the technique over the last decade, wide implementation in the biological field is still limited. Here, we address the limitations of the NIC technique specifically when working with soft tissues and provide readers with expected results for brain tissue. Our goal is to assist others in conducting reliable and reproducible mechanical characterization of soft biomaterials and tissues.

Indexed as

BrainMechanical PhenomenaNeedlesAnimalsBiomechanical PhenomenaMaterials TestingMechanical TestsPressureStress, Mechanical

Identifiers

PMID39270446
PMCPMC11560596

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.