Evidence map›Paper›PMID 35333594›Full record

ArticleThe British journal of radiology2022

Comparative study of conventional ROI-based and volumetric histogram analysis derived from CT enhancement in differentiating malignant and benign renal tumors.

Qingqiang Zhu, Jinzhao Zou, Jing Ye, Wenrong Zhu, Jingtao Wu, Wenxin Chen

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2022. 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
1.2field-weighted citation impact, top 21% 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, 8 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

6 authors at 1 institution in 1 country.

Qingqiang ZhuDepartment of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.
Jinzhao ZouDepartment of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.
Jing YeDepartment of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.ORCID 0000-0002-2357-7975
Wenrong ZhuDepartment of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.
Jingtao WuDepartment of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.
Wenxin ChenDepartment of Medical Imaging, Clinical Medical College, Yangzhou University, Yangzhou, China.
Yangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantitatively compare the diagnostic values of conventional region of interest (ROI)-based and volumetric histogram analysis derived from CT enhancement in differentiating malignant and benign renal tumors.

methodsA total of 230 patients with pathologically confirmed renal tumors who had undergone CT enhancement were classified into clear cell renal cell carcinoma (ccRCC) (

resultsThe entropy and SD values of ccRCCs were higher than those of non-ccRCCs and benign renal tumors (

conclusionVolumetric histogram analysis parameters can effectively distinguish malignant and benign renal tumors. ADVANCES IN KNOWLEDGE: 1. Entropy and mean values had the highest diagnostic efficacy in differentiating ccRCCs/ non-ccRCCs and benign renal tumors.2. Mean values had the highest diagnostic efficacy in differentiating ccRCCs and non-ccRCCs.3.Volumetric histogram analysis had better performance than ROI-based enhancement density.

Indexed as

Diffusion Magnetic Resonance ImagingKidney NeoplasmsDiagnosis, DifferentialHumansRetrospective StudiesROC CurveTomography, X-Ray Computed

Identifiers

PMID35333594
PMCPMC10996318
OpenAlexW4220763202

What OpenQuestion holds

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Registered trials

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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.