Evidence map›Paper›PMID 34751794›Full record

ArticleEuropean radiology2022

Role of contrast-enhanced ultrasonography in MR-guided focused ultrasound ablation on uterus fibroids: lesion selection and assessment of ablative effects.

Wen Luo, Pei-di Zhang, Xiao Yang, Jian-Min Zheng, Ying Liu, Xing Tang, Hai-Jing Liu, Lei Ding, Li-Na Pang, Xiao-Dong Zhou and 2 more

Abstract read
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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 1 institution in 1 country.

Wen LuoDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. lwdd1234@fmmu.edu.cn.ORCID http://orcid.org/0000-0003-1330-4321
Pei-di Zhang *Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Xiao YangDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Jian-Min ZhengDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Ying LiuDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Xing TangDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Hai-Jing LiuDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Lei DingDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Li-Na PangDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Xiao-Dong ZhouDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Li-Wen LiuDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Min-Wen ZhengDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. zhengmw2007@163.com.
Xijing Hospital · CN

Funding

innovative research group project of the national natural science foundation of china 81671691
6 · The paper itself

Abstract

objectivesTo determine whether contrast-enhanced ultrasonography (CEUS) can be used for selecting lesions and assessing the ablative effects of MRgFUS ablation on uterus fibroids, compared with MR imaging.

methodsThis retrospective study was approved by the institutional review board of our hospital. From April 2018 to November 2019, a total of 44 symptomatic fibroids in 38 patients who underwent MRgFUS ablation were included. The association between pre-ablation characteristics on CEUS/MR imaging and the non-perfusion volume (NPV) after ablation was analyzed using multivariable linear regression analysis. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve values was compared between the CEUS and MR imaging regression models. NPV after ablation was compared between CEUS and enhanced MR imaging.

resultsOn CEUS, entangled branch vessels, fast-in, and fast-out patterns were significantly associated with NPV, with an AUC of 0.95 (95% CI; 0.88, 1.00). On MR imaging, hyper-intensity on T2-weighted images (T2WI), hyper-intense ring-like signal on T2WI images, and hyper-enhancement on contrast-enhanced T1WI images were correlated with NPV, with an AUC of 0.86 (95% CI; 0.70, 1.00). After ablation, no differences in NPV were noted between contrast-enhanced T1WI (84.13 ± 75.42 cm

conclusionsSome pre-ablation characteristics of uterine fibroids on CEUS were associated with NPV after MRgFUS. CEUS may contribute to the evaluation of ablative outcomes and patient selection, similar to MR imaging. KEY POINTS: • Contrast-enhanced ultrasonography (CEUS) is effective for selecting the appropriate uterine fibroids before MR-guided focused ultrasound (MRgFUS) ablation and evaluating non-perfusion volumes (NPV) after ablation, as a potential alternative to MR imaging. • Before ablation, entangled branch vessels, fast-in, and fast-out patterns on CEUS were significantly associated with NPV after MRgFUS. • No significant differences in NPV were detected between contrast-enhanced T1WI and CEUS after ablation.

Indexed as

High-Intensity Focused Ultrasound AblationLeiomyomaUterine NeoplasmsFemaleHumansMagnetic Resonance ImagingRetrospective StudiesTreatment OutcomeUltrasonographyUterusContrast-enhanced ultrasonographyFocused ultrasoundMagnetic resonance imagingPatient selectionUterine fibroid

Identifiers

PMID34751794
OpenAlexW3213628540

What OpenQuestion holds

Textmetadata
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.