Evidence map›Paper›PMID 26366372›Full record

ArticleAnalytical cellular pathology (Amsterdam)2015

Fractal analysis and the diagnostic usefulness of silver staining nucleolar organizer regions in prostate adenocarcinoma.

Alex Stepan, Cristiana Simionescu, Daniel Pirici, Raluca Ciurea, Claudiu Margaritescu

Open access · goldAbstract read
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2015. 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
0.7field-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, 5 citations in OpenAlex.

  1. Review
  2. 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.

Alex StepanDepartment of Pathology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania.
Cristiana SimionescuDepartment of Pathology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania.
Daniel PiriciDepartment of Pathology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania ; Department of Research Methodology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania.
Raluca CiureaDepartment of Pathology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania.
Claudiu MargaritescuDepartment of Pathology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania.
University of Medicine and Pharmacy of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathological diagnosis of prostate adenocarcinoma often requires complementary methods. On prostate biopsy tissue from 39 patients including benign nodular hyperplasia (BNH), atypical adenomatous hyperplasia (AAH), and adenocarcinomas, we have performed combined histochemical-immunohistochemical stainings for argyrophilic nucleolar organizer regions (AgNORs) and glandular basal cells. After ascertaining the pathology, we have analyzed the number, roundness, area, and fractal dimension of individual AgNORs or of their skeleton-filtered maps. We have optimized here for the first time a combination of AgNOR morphological denominators that would reflect best the differences between these pathologies. The analysis of AgNORs' roundness, averaged from large composite images, revealed clear-cut lower values in adenocarcinomas compared to benign and atypical lesions but with no differences between different Gleason scores. Fractal dimension (FD) of AgNOR silhouettes not only revealed significant lower values for global cancer images compared to AAH and BNH images, but was also able to differentiate between Gleason pattern 2 and Gleason patterns 3-5 adenocarcinomas. Plotting the frequency distribution of the FDs for different pathologies showed clear differences between all Gleason patterns and BNH. Together with existing morphological classifiers, AgNOR analysis might contribute to a faster and more reliable machine-assisted screening of prostatic adenocarcinoma, as an essential aid for pathologists.

Indexed as

FractalsSilver StainingAdenocarcinomaHumansImmunohistochemistryMaleNucleolus Organizer RegionProstatic Neoplasms

Identifiers

PMID26366372
PMCPMC4558419
OpenAlexW1489507653

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.