Evidence map›Paper›PMID 40820137›Full record

ArticleScientific reports2025

Imaging characteristics of renal epithelioid angiomyolipoma and its correlation with risk stratification.

Jin Zhou, Guo-Chu Qin, Ting-Ting Chen, Le Cheng, Li Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

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.

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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

5 authors.

Jin ZhouDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Guo-Chu QinDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Ting-Ting ChenDepartment of Pathology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China.
Le ChengDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China. 13851484190@163.com.
Li ZhuDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China. jullysaki@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal epithelioid angiomyolipoma (EAML) is frequently misdiagnosed due to nonspecific imaging findings. This study aimed to explore the radiographic characteristics of EAML, with the goal of enhancing the accuracy of preoperative diagnoses. A total of 27 patients with histopathologically confirmed renal EAML were included in the study. We retrospectively reviewed the radiographic features and analyzed the differences between tumors with a cut-off diameter of 40 mm. The majority of the lesions were isolated (25/27, 92.59%) and were predominantly found in females (18/27, 66.67%). ‌CT images revealed that most lesions were hyperdense, with fat detected in 13 cases. Small lesions were more likely to exhibit rapid wash-in and wash-out enhancement (p = 0.04), whereas abnormal vessels were more commonly found in large lesions. Tumors with higher risk stratification tended to show persistent or delayed enhancement on CT images. The imaging manifestations of renal EAML are diverse. After enhancement, small lesions are more likely to display rapid wash-in and wash-out patterns on CT images, whereas large lesions are more likely to exhibit abnormal vessels within or surrounding the tumor.

Indexed as

AngiomyolipomaKidney NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentTomography, X-Ray ComputedAngiomyolipomaCTEpithelioid angiomyolipomaImaging featuresMRI

Identifiers

PMID40820137
PMCPMC12358567

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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 OpenQuestion graph.