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

INTRODUCTION: Cancer 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...

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Autores principales: Aganovic, Damir, Kulovac, Benjamin, Radović, Svjetlana, Bilalović, Nurija, Bajramović, Senad, Kešmer, Amel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Medical sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688307/
https://www.ncbi.nlm.nih.gov/pubmed/31452565
http://dx.doi.org/10.5455/aim.2019.27.89-95
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author Aganovic, Damir
Kulovac, Benjamin
Radović, Svjetlana
Bilalović, Nurija
Bajramović, Senad
Kešmer, Amel
author_facet Aganovic, Damir
Kulovac, Benjamin
Radović, Svjetlana
Bilalović, Nurija
Bajramović, Senad
Kešmer, Amel
author_sort Aganovic, Damir
collection PubMed
description INTRODUCTION: Cancer 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. AIM: To 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. METHODS: retrospectively, 75 patients data and postoperative prostate specimens were analyzed, after determining topographic distribution and cancer volume (PCa), using PixelProstate software. RESULTS: Mean VPCa was 6.99 cm(3) (0.14-29.7; median 4.51), and mean percentage cancer volume relative to prostate volume (%VPCa) was 16% (0.1-67.2%; median 13%). 71% of the patients had T2 stage, while the rest had T3 stage. Apex involvement was present in 65% of the patients, while central zone involvement and extraprostatic extension were present in 23.5% and 22.7% of the patients, respectively. Preoperative Gleason score undergrading was present in 27 (36%) patients, while bilateral PCa finding was increased from 51% to 87%, postoperatively. The most discriminant variable according to the prediction of %VPCa>10% had preoperative bilateral needle biopsy findings, with AUC of 0.75 (<.001), with sensitivity and specificity of 84% and 70%, respectively; (+LR 2,8; PPV of 74%; NPV of 82%). %VPCa showed good correlation with prostate specific antigen (PSA) and PSA-density. CONCLUSION: A 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.
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spelling pubmed-66883072019-08-26 Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume Aganovic, Damir Kulovac, Benjamin Radović, Svjetlana Bilalović, Nurija Bajramović, Senad Kešmer, Amel Acta Inform Med Original Paper INTRODUCTION: Cancer 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. AIM: To 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. METHODS: retrospectively, 75 patients data and postoperative prostate specimens were analyzed, after determining topographic distribution and cancer volume (PCa), using PixelProstate software. RESULTS: Mean VPCa was 6.99 cm(3) (0.14-29.7; median 4.51), and mean percentage cancer volume relative to prostate volume (%VPCa) was 16% (0.1-67.2%; median 13%). 71% of the patients had T2 stage, while the rest had T3 stage. Apex involvement was present in 65% of the patients, while central zone involvement and extraprostatic extension were present in 23.5% and 22.7% of the patients, respectively. Preoperative Gleason score undergrading was present in 27 (36%) patients, while bilateral PCa finding was increased from 51% to 87%, postoperatively. The most discriminant variable according to the prediction of %VPCa>10% had preoperative bilateral needle biopsy findings, with AUC of 0.75 (<.001), with sensitivity and specificity of 84% and 70%, respectively; (+LR 2,8; PPV of 74%; NPV of 82%). %VPCa showed good correlation with prostate specific antigen (PSA) and PSA-density. CONCLUSION: A 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. Academy of Medical sciences 2019-06 /pmc/articles/PMC6688307/ /pubmed/31452565 http://dx.doi.org/10.5455/aim.2019.27.89-95 Text en © 2019 Damir Aganovic, Benjamin Kulovac, Senad Bajramovic, Amel Kesmer http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Aganovic, Damir
Kulovac, Benjamin
Radović, Svjetlana
Bilalović, Nurija
Bajramović, Senad
Kešmer, Amel
Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume
title Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume
title_full Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume
title_fullStr Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume
title_full_unstemmed Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume
title_short Pixel Prostate Software as a Reliable Tool in Depicting Spatial Distribution and Determination of the Prostate Cancer Volume
title_sort pixel prostate software as a reliable tool in depicting spatial distribution and determination of the prostate cancer volume
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688307/
https://www.ncbi.nlm.nih.gov/pubmed/31452565
http://dx.doi.org/10.5455/aim.2019.27.89-95
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