Evidence map›Paper›PMID 30705789›Full record

ArticleCureus2018

The Goodness-of-fit of the Fractal Dimension as a Diagnostic Factor in Breast Cancer.

Sotirios Maipas, Afroditi Nonni, Ekaterini Politi, Helen Sarlanis, Nikolaos G Kavantzas

Abstract read
In one paragraph

Article in Cureus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. KineticEJNMMI physics · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Fractal Viewpoint of Tumors and Nanoparticles.Current medicinal chemistry · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
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.

Sotirios MaipasPathology, School of Medicine, National and Kapodistrian University of Athens, Athens, GRC.
Afroditi NonniPathology, School of Medicine, National and Kapodistrian University of Athens, Athens, GRC.
Ekaterini PolitiPathology, School of Medicine, National and Kapodistrian University of Athens, Athens, GRC.
Helen SarlanisPathology, School of Medicine, National and Kapodistrian University of Athens, Athens, GRC.
Nikolaos G KavantzasPathology, School of Medicine, National and Kapodistrian University of Athens, Athens, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of studies have found that the fractal dimension increases with the progression towards pathological or more pathological states, but there are also studies that have demonstrated the opposite relationship. In this study, we calculate the nuclear box-counting fractal dimension of 109 malignant, 113 benign, and 80 normal isolated breast cells in order to investigate its possible diagnostic importance. We computed the fractal dimension and its goodness-of-fit (i.e., the r-squared value that describes how well the regression line fits the set of the measurements) for two different sets of box size lengths. The statistical analysis did not confirm an important diagnostic potential of the nuclear fractal dimension of isolated breast cells. However, the goodness-of-fit did display a diagnostic potential. The r-squared value may be able to serve as a complementary diagnostic parameter.

Indexed as

box-counting dimensionbreast cancercancer diagnosisfractal dimensiongoodness-of-fit

Identifiers

PMID30705789
PMCPMC6349609

What OpenQuestion holds

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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.