Evidence map›Paper›PMID 36690715›Full record

ArticleAbdominal radiology (New York)2023

Quantitative MRI in distinguishing bladder paraganglioma from bladder leiomyoma.

Xiaoxiao Hu, Ke Wang, Mengya Sun, Chang Li, Huanjun Wang, Jian Guan

Abstract read
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In one paragraph

Article in Abdominal radiology (New York), 2023. 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
1.0field-weighted citation impact, top 27% 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, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Xiaoxiao Hu *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, 510080, Guangdong, People's Republic of China.ORCID 0000-0002-6509-4058
Ke Wang *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, 510080, Guangdong, People's Republic of China.ORCID 0000-0002-1039-7385
Mengya SunDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, 510080, Guangdong, People's Republic of China.ORCID 0000-0003-4992-9817
Chang LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, 510080, Guangdong, People's Republic of China.ORCID 0000-0003-1878-8003
Huanjun WangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Jian GuanDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, 510080, Guangdong, People's Republic of China. guanj6@mail.sysu.edu.cn.ORCID 0000-0002-7209-0346
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the feasibility of quantitative MRI in the differentiation of bladder paraganglioma from bladder leiomyoma.

methodsFrom 2014 to 2021, 11 patients with bladder paraganglioma and 14 patients with bladder leiomyoma confirmed by surgical pathology were retrospectively collected. All patients underwent multiparametric scanning with a 3.0 T MR system. Quantitative parameters including the SI-ratio on T

resultsThere were significant differences in SI-ratio on T

conclusionQuantitative MRI can effectively distinguish bladder paraganglioma from bladder leiomyoma with the SI-ratio on T

Indexed as

Kidney NeoplasmsLeiomyomaParagangliomaUrinary Bladder NeoplasmsDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingRetrospective StudiesUrinary BladderBladder LeiomyomaBladder ParagangliomaMagnetic resonance imaging (MRI)Quantitative parameter

Identifiers

PMID36690715
OpenAlexW4317797017

What OpenQuestion holds

Textmetadata
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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.