Evidence map›Paper›PMID 37427113›Full record

ArticleFrontiers in oncology2023

Intravoxel incoherent motion diffusion-weighted MRI for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids.

Yu Jiang, Shize Qin, Yanlin Wang, Yang Liu, Nian Liu, Lingling Tang, Jie Fang, Qing Jia, Xiaohua Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yu JiangDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Shize QinDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Yanlin WangDepartment of Clinical Medicine, North Sichuan Medical College, Nanchong, China.
Yang LiuDepartment of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Nian LiuDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Lingling TangDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Jie FangDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Qing JiaDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Xiaohua HuangDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Affiliated Hospital of North Sichuan Medical College · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the significance of magnetic resonance (MR) intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) quantitative parameters in predicting early efficacy of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids before treatment. Method: 64 patients with 89 uterine fibroids undergoing HIFU ablation (51 sufficient ablations and 38 insufficient ablations) were enrolled in the study and completed MR imaging and IVIM-DWI before treatment. The IVIM-DWI parameters, including D (diffusion coefficient), D Results: The D value of the sufficient ablation group (931.0(851.5-987.4) × 10 Conclusion: The IVIM-DWI quantitative parameters can be used to predict early effects of HIFU ablation on uterine fibroids. A high D value before treatment may indicate that the treatment will be less effective in the early stages.

Indexed as

diffusion-weighted imaginghigh-intensive focused ultrasoundintravoxel incoherent motionmagnetic resonance imaginguterine fibroid

Identifiers

PMID37427113
PMCPMC10324408
OpenAlexW4381736937

What OpenQuestion holds

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LicenceCC BY
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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.