Evidence map›Paper›PMID 23346015›Full record

ArticleTheScientificWorldJournal2012

Potentials and limitations of real-time elastography for prostate cancer detection: a whole-mount step section analysis.

Daniel Junker, Georg Schäfer, Friedrich Aigner, Peter Schullian, Leo Pallwein-Prettner, Jasmin Bektic, Wolfgang Horninger, Ethan J Halpern, Ferdinand Frauscher

Open access · goldAbstract read
In one paragraph

Article in TheScientificWorldJournal, 2012. 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
2.5field-weighted citation impact, top 11% 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, 24 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. Real-time elastography of the prostate.BioMed research international · 2014
    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

9 authors at 3 institutions in 2 countries.

Daniel JunkerDepartment of Radiology, Medical University of Innsbruck, Anichstraß 35, 6020 Innsbruck, Austria.
Georg Schäfer
Friedrich Aigner
Peter Schullian
Leo Pallwein-Prettner
Jasmin Bektic
Wolfgang Horninger
Ethan J Halpern
Ferdinand Frauscher
Innsbruck Medical University · ATUniversität Innsbruck · ATThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate prostate cancer (PCa) detection rates of real-time elastography (RTE) in dependence of tumor size, tumor volume, localization and histological type. MATERIALS AND

methodsThirdy-nine patients with biopsy proven PCa underwent RTE before radical prostatectomy (RPE) to assess prostate tissue elasticity, and hard lesions were considered suspicious for PCa. After RPE, the prostates were prepared as whole-mount step sections and were compared with imaging findings for analyzing PCa detection rates.

resultsRTE detected 6/62 cancer lesions with a maximum diameter of 0-5 mm (9.7%), 10/37 with a maximum diameter of 6-10 mm (27%), 24/34 with a maximum diameter of 11-20 20 mm (70.6%), 14/14 with a maximum diameter of >20 mm (100%) and 40/48 with a volume ≥0.2 cm(3) (83.3%). Regarding cancer lesions with a volume ≥ 0.2 cm³ there was a significant difference in PCa detection rates between Gleason scores with predominant Gleason pattern 3 compared to those with predominant Gleason pattern 4 or 5 (75% versus 100%; P = 0.028).

conclusionsRTE is able to detect PCa of significant tumor volume and of predominant Gleason pattern 4 or 5 with high confidence, but is of limited value in the detection of small cancer lesions.

Indexed as

AgedElasticity Imaging TechniquesHumansMaleMiddle AgedProstateProstatic NeoplasmsReproducibility of ResultsSensitivity and SpecificityTumor Burden

Identifiers

PMID23346015
PMCPMC3549343
OpenAlexW2086529805

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.