Evidence map›Paper›PMID 39698591›Full record

ArticleQuantitative imaging in medicine and surgery2024

Diffusion-weighted imaging as a non-gadolinium alternative for immediate assessing nonperfused area of adenomyosis after magnetic resonance-guided focused ultrasound (MRgFUS) ablation: a potential technique but with slightly overestimate.

Yaoqu Huang, Shouguo Zhou, Yinghua Su, Shihua Cai

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Yaoqu HuangCenter of MRgFUS, Foshan Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Foshan, China.
Shouguo ZhouCenter of MRgFUS, Foshan Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Foshan, China.
Yinghua SuChancheng High-Tech District Hospital of Foshan Hospital of Traditional Chinese Medicine, Foshan, China.
Shihua CaiCenter of MRgFUS, Foshan Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is a technical challenge to monitor ablation outcome during magnetic resonance-guided focused ultrasound (MRgFUS) treatment using non-gadolinium technique. The study aimed to investigate the value of diffusion-weighted imaging (DWI) for immediately assessing nonperfused area of adenomyosis after MRgFUS treatment. Methods: We retrospectively included patients with adenomyosis who underwent MRgFUS ablation and underwent both DWI (b=800 sec/mm Results: A total of 48 women with adenomyosis (mean age 39.6±4.9 years) were analyzed. Abnormal signals were observed in all 48 adenomyosis lesions on DWI images and could be categorized into 3 types: large area of central low-signal with complete (type 1) or incomplete (type 2) high-signal ring, or inhomogeneous high-signal areas without a ring sign (type 3). Intra- and interobserver intraclass correlation coefficients (ICCs) were 0.84 and 0.80, respectively, for categorizing the DWI signal types (both P<0.001). The DWI abnormal signals and nonperfused areas were essentially corresponding. ICCs were ranged from 0.85 to 0.91 for area measurements using DWI Conclusions: DWI can serve as a non-gadolinium technique for the initial evaluation of nonperfused area of adenomyosis after MRgFUS ablation. However, it is also important to note that DWI may slightly overestimate the nonperfused area.

Indexed as

adenomyosisdiffusion-weighted imaging (DWI)Magnetic resonance-guided focused ultrasound surgery (MRgFUS surgery)nonperfused volume (NPV)thermal ablation

Identifiers

PMID39698591
PMCPMC11651985

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.