Evidence map›Paper›PMID 39681741›Full record

ReviewCardiovascular and interventional radiology2025

Smartphone Technology for Applications in Image-Guided Minimally Invasive Interventional Procedures.

Katerina Lee, Pournika Muniyandi, Ming Li, Laetitia Saccenti, Anna Christou, Sheng Xu, Bradford J Wood

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cardiovascular and interventional radiology, 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. Review
  2. Review
  3. 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

7 authors.

Katerina LeeCenter for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-8808-9358
Pournika MuniyandiCenter for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA.
Ming LiCenter for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA.
Laetitia SaccentiCenter for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA.
Anna ChristouCenter for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA.
Sheng Xu *Center for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA.
Bradford J Wood *Center for Interventional Oncology, NIH Clinical Center and Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr, Bethesda, MD, 20892, USA. bwood@cc.nih.gov.

Funding

Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Intramural NIH HHS ZID BC011242NCI NIH HHS 1ZIDBC011242
6 · The paper itself

Abstract

Smartphones contain powerful and enabling technology components that can be re-applied toward procedural tasks commonly used in everyday clinical image-guided therapies and minimally invasive procedures that use three-dimensional information and feedback during procedures. Smartphone applications are a relatively young field of research that have potential in interventional radiology (IR) toward improvement of accuracy and standardization for needle-based procedures like biopsy and ablation. This review explores the adaptation of smartphones' built-in sensors for virtual and augmented reality uses in IR. The ergonomic advantages and translational hurdles and limitations are reviewed, outlining the potential future developmental pathway of smartphones in IR.

Indexed as

Minimally Invasive Surgical ProceduresMobile ApplicationsRadiography, InterventionalRadiology, InterventionalSmartphoneAugmented RealityHumansArtificial intelligenceAugmented realityImage-guided therapiesProcedural medicineSmartphone technologyVirtual reality

Identifiers

PMID39681741
PMCPMC11790737

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.