Evidence map›Paper›PMID 39664161›Full record

ArticleCureus2024

Advanced Visualization of Musculoskeletal Pathologies Using MV-Flow Ultrasound: A Case Series.

Hye-Jin Y Clark, Clayton Walker, Eugene Y Roh

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model With SHAP Interpretability.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Review
  2. Article
  3. Review
  4. 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

3 authors.

Hye-Jin Y ClarkPhysical Medicine and Rehabilitation, Stanford University Medical Center, Redwood City, USA.
Clayton WalkerSports Medicine, Physical Medicine and Rehabilitation, Department of Orthopedic Surgery, Stanford University Medical Center, Redwood City, USA.
Eugene Y RohSports Medicine, Physical Medicine and Rehabilitation, Department of Orthopedic Surgery, Stanford University, Redwood City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The blood flow-detecting mode of ultrasound images can be beneficial for assessing the degree of inflammation among various musculoskeletal conditions and their recovery. Power Doppler (PD) ultrasound is typically used for blood flow, but its limitations in detecting low-velocity blood flow hinder comprehensive assessment. The microvascular flow tool (MV-Flow) from the Samsung V7 and RS85 ultrasound systems (Samsung Co., Seoul, South Korea), offers advanced visualization of microcirculatory and slow-flow connections that PD and Color Doppler (CD) cannot detect. This case series highlights the novel application of MV-Flow in diagnosing sports medicine-related conditions, specifically tendinopathy, demonstrating its utility even when magnetic resonance imaging (MRI) and conventional ultrasound fail to reveal abnormalities.

Indexed as

diagnostic musculoskeletal ultrasoundmicrocirculation and inflammationmicrovascular ultrasoundmusculoskeletal imagingmv flow ultrasoundsports related injuriestendinopathy pain

Identifiers

PMID39664161
PMCPMC11633724

What Socratic 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 Socratic graph.