Evidence map›Paper›PMID 31452565›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2019

Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume.

Damir Aganovic, Benjamin Kulovac, Svjetlana Radović, Nurija Bilalović, Senad Bajramović, Amel Kešmer

Abstract read
In one paragraph

Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Damir AganovicDepartment of Urology, University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina.
Benjamin KulovacDepartment of Urology, University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina.
Svjetlana RadovićDepartment of Pathology, Faculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Nurija BilalovićDepartment of Pathology,University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina.
Senad BajramovićDepartment of Urology, University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina.
Amel KešmerDepartment of Urology, University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCancer of the prostate (PCa) is the second most common cancer-related cause of death among men and the most common non-cutaneous malignancy in Western countries. Numerous papers have been published on the topic of various aspects of this disease; however, rather little has been written on the diagnostic and prognostic value of the prostate cancer obtained from needle biopsy.

aimTo examine the utility of Pixel Prostate software in determining the volume and topographic distribution cancer of the prostate (PCa), and to analyze it with other variables that are characteristic for PCa.

methodsretrospectively, 75 patients data and postoperative prostate specimens were analyzed, after determining topographic distribution and cancer volume (PCa), using PixelProstate software.

resultsMean VPCa was 6.99 cm

conclusionA possibility of precise spatial orientation and volume characterization of the PCa by PixelProstate software was shown. Simultaneously, with time, a clinician, experienced by PP software feedback, gets better insight for the planning of future prostate biopsy, as an important factor in clinical decision making.

Indexed as

Cancer of the prostateCancer percentage involvementPixelProstate softwareTopographic cancer distributionVolume of the cancer

Identifiers

PMID31452565
PMCPMC6688307

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