Evidence map›Paper›PMID 32617959›Full record

ArticlePathology oncology research : POR2020

Prognostic Significance of Lacunarity in Preoperative Biopsy of Colorectal Cancer.

Gorana Aralica, Martina Šarec Ivelj, Arijana Pačić, Josip Baković, Marija Milković Periša, Anteja Krištić, Paško Konjevoda

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Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 6 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

7 authors at 3 institutions in 1 country.

Gorana AralicaMedical School University of Zagreb, Zagreb, Croatia. garalica@kbd.hr.
Martina Šarec IveljMedical School University of Zagreb, Zagreb, Croatia.
Arijana PačićUniversity Hospital Dubrava, Zagreb, Croatia.
Josip BakovićUniversity Hospital Dubrava, Zagreb, Croatia.
Marija Milković PerišaMedical School University of Zagreb, Zagreb, Croatia.
Anteja KrištićMedical School University of Zagreb, Zagreb, Croatia.
Paško KonjevodaRuđer Bošković Institute, Zagreb, Croatia.
University of Zagreb · HRUniversity Hospital Dubrava · HRRudjer Boskovic Institute · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quantity and quality of preoperative material in colorectal cancer is often limiting factor in determination of risk factors and therapy planning. The most important negative prognostic factors are intravascular and perineural invasion, as well as tumor budding. Usually, the only parameter available in preoperative biopsy is tumor budding. However, the growing body of evidence suggests that cancer differentiation based on the poorly differentiated clusters has better prognostic value. The limiting factor in applying of these new parameters is reproducible, simple, cheap and fast method of their determination. In this paper we investigated the prognostic value of lacunarity, determined in preoperative biopsy. Lacunarity is a measure of spatial heterogeneity (inhomogeneity) in an image. It quantifies how objects fill the space, and enables analysis of gaps distribution, homogeneity of gaps, and presence of structures. It was shown that lacunarity and the total number of buds could be combined in a model which clearly divides colorectal cancer patients in low, medium and high risk subgroups. The paper also points out that the quantitative numerical methods are superior to semiquantitative methods, and that individual methods should be combined using algorithms to obtain a more accurate prediction. Because the study described is designed as a pilot study, verification is needed on a larger sample of patients from independent researchers.

Indexed as

AlgorithmsAgedBiopsyColorectal NeoplasmsFemaleHumansMaleMiddle AgedPilot ProjectsPrognosisColorectal cancerImage analysisIntratumoral buddingLacunarityPreoperative biopsyPrognosisRecursive partitioning

Identifiers

PMID32617959
OpenAlexW3040333489

What OpenQuestion holds

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Read underepoch 390

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.