Evidence map›Paper›PMID 40712026›Full record

ArticleScience advances2025

Improving real-time ultrasound spine imaging with a large-aperture array.

Ning Lu, Josquin Foiret, Yutong Guo, Byung Chul Yoon, Katherine W Ferrara

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Ning LuDepartment of Radiology, Stanford University, Palo Alto, CA, USA.ORCID 0000-0002-8110-9176
Josquin FoiretDepartment of Radiology, Stanford University, Palo Alto, CA, USA.ORCID 0000-0002-7946-8161
Yutong GuoDepartment of Radiology, Stanford University, Palo Alto, CA, USA.ORCID 0000-0002-3712-8353
Byung Chul YoonDepartment of Radiology, Stanford University, Palo Alto, CA, USA.ORCID 0000-0003-2929-5677
Katherine W FerraraDepartment of Radiology, Stanford University, Palo Alto, CA, USA.ORCID 0000-0002-4976-9107

Funding

High Resolution Ultrasound in Interventional RadiologyR01CA271309 · NCI · STANFORD UNIVERSITY · PI Katherine W Ferrara, Qifa Zhou · 2022 to 2026
$3.1M
Pediatric volumetric ultrasound scannerR01EB033967 · NIBIB · STANFORD UNIVERSITY · PI Katherine W Ferrara, Shreyas S Vasanawala · 2023 to 2026
$1.9M
NCI NIH HHS R01 CA271309NIBIB NIH HHS R01 EB033967
6 · The paper itself

Abstract

Ultrasound offers a safe, low-cost alternative to computed tomography (CT) and magnetic resonance imaging for spinal diagnostics and intervention by enabling real-time imaging. However, the complex structure of the spine and acoustic shadowing from bones present challenges for ultrasonography. This study addresses these limitations using an 8.8-centimeter 384-element large-aperture array and full aperture-based imaging protocols. Volumetric scanning across multiple vertebrae was accomplished in 5 seconds using ultrafast, diverging wave acquisition. In seven healthy volunteers, the large-aperture array and diverging wave transmission improved resolution, contrast, and visualization of the spinal canal, venous plexuses, and facet joints compared with conventional probes. A comparison between the coregistered CT and ultrasound scan confirmed the imaging accuracy. A simulated lumbar puncture demonstrated needle tip visualization throughout the trajectory into the spinal canal. The results suggest that large-aperture arrays, coupled with diverging wave imaging sequences, are a valuable tool for spine imaging and image-guided intervention.

Indexed as

SpineAdultFemaleHumansMagnetic Resonance ImagingMaleTomography, X-Ray ComputedUltrasonography

Identifiers

PMID40712026
PMCPMC12292900

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Registered trials

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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.