Evidence map›Paper›PMID 37581035›Full record

ArticleQuantitative imaging in medicine and surgery2023

Potential clinical feasibility of synthetic MRI in bladder tumors: a comparative study with conventional MRI.

Meiqin Li, Wenhao Fu, Longyuan Ouyang, Qian Cai, Yiping Huang, Xiaoyu Yang, Weibin Pan, Long Qian, Yan Guo, Huanjun Wang

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 7 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

10 authors at 2 institutions in 1 country.

Meiqin Li *Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wenhao Fu *Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Longyuan OuyangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qian CaiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yiping HuangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoyu YangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Weibin PanDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Long QianMR Research, GE Healthcare, Beijing, China.
Yan GuoDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huanjun WangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Synthetic magnetic resonance imaging (MRI) can provide quantitative information about inherent tissue properties and synthesize tailored contrast-weighted images simultaneously in a single scan. This study aimed to investigate the clinical feasibility of synthetic MRI in bladder tumors. Methods: A total of 47 patients (37 males; mean age: 66±10 years old) with postoperative pathology-confirmed papillary urothelial neoplasms of the bladder were enrolled in this retrospective study. A 2-dimensional (2D) multi-dynamic multi-echo pulse sequence was performed for synthetic MRI at 3T. The overall image quality, lesion conspicuity, contrast resolution, resolution of subtle anatomic structures, motion artifact, blurring, and graininess of images were subjectively evaluated by 2 radiologists independently using a 5-point Likert scale for qualitative analysis. The signal intensity ratio (SIR), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured for quantitative analysis. Linear weighted Kappa, Wilcoxon's signed-rank test, and the Mann-Whitney U-test were used for statistical analysis. Results: The interobserver consistency was excellent (κ values: 0.607-1). Synthetic T1-weighted (syn-T1w) and synthetic T2-weighted (syn-T2w) images obtained scores of 4 in most subjective terms, which were relatively smaller than those of conventional images. The SIR and SNR of syn-T1w were significantly higher than those of con-T1w images (SIR 2.37±0.86 Conclusions: Synthetic MRI generates morphologic magnetic resonance (MR) images with diagnostically acceptable image quality in bladder tumors, especially T1-weighted images with high image contrast of tumors relative to urine. Further technological improvements are needed for synthetic MRI to reduce noise. Combined with T1, T2, and proton density (PD) quantitative data, synthetic MRI has potential for clinical application in bladder tumors.

Indexed as

bladder tumorimage qualitySynthetic magnetic resonance imaging (synthetic MRI)

Identifiers

PMID37581035
PMCPMC10423390
OpenAlexW4385525575

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.