Evidence map›Paper›PMID 35204643›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Small Renal Masses without Gross Fat: What Is the Role of Contrast-Enhanced MDCT?

Gerta Repeckaite, Kristina Zviniene, Justina Jankauskiene, Algidas Basevicius, Daimantas Milonas

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Gerta RepeckaiteDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Kristina ZvinieneDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Justina JankauskieneDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Algidas BaseviciusDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Daimantas MilonasDepartment of Urology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased detection of small renal masses (SRMs) has encouraged research for non-invasive diagnostic tools capable of adequately differentiating malignant vs. benign SRMs and the type of the tumour. Multi-detector computed tomography (MDCT) has been suggested as an alternative to intervention, therefore, it is important to determine both the capabilities and limitations of MDCT for SRM evaluation. In our study, two abdominal radiologists retrospectively blindly assessed MDCT scan images of 98 patients with incidentally detected lipid-poor SRMs that did not present as definitely aggressive lesions on CT. Radiological conclusions were compared to histopathological findings of materials obtained during surgery that were assumed as the gold standard. The probability (odds ratio (OR)) in regression analyses, sensitivity (SE), and specificity (SP) of predetermined SRM characteristics were calculated. Correct differentiation between malignant vs. benign SRMs was detected in 70.4% of cases, with more accurate identification of malignant (73%) in comparison to benign (65.7%) lesions. The radiological conclusions of SRM type matched histopathological findings in 56.1%. Central scarring (OR 10.6,

Indexed as

incidental findingsmulti-detector computed tomographysmall renal neoplasms

Identifiers

PMID35204643
PMCPMC8871355
OpenAlexW4212884031

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.