Cargando…

Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis

BACKGROUND: The objective of this meta-analysis was to evaluate the clinical usefulness of K(trans), K(ep), and V(e) values in the differential diagnosis of prostate cancer (PCa) and noncancerous tissue in the peripheral zone (PZ) and central gland (CG). METHODS: A search was conducted of the PubMed...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Peng, Shi, Changzheng, Zhao, Lianping, Zhou, Quan, Luo, Liangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207570/
https://www.ncbi.nlm.nih.gov/pubmed/28033274
http://dx.doi.org/10.1097/MD.0000000000005715
_version_ 1782490388258357248
author Gao, Peng
Shi, Changzheng
Zhao, Lianping
Zhou, Quan
Luo, Liangping
author_facet Gao, Peng
Shi, Changzheng
Zhao, Lianping
Zhou, Quan
Luo, Liangping
author_sort Gao, Peng
collection PubMed
description BACKGROUND: The objective of this meta-analysis was to evaluate the clinical usefulness of K(trans), K(ep), and V(e) values in the differential diagnosis of prostate cancer (PCa) and noncancerous tissue in the peripheral zone (PZ) and central gland (CG). METHODS: A search was conducted of the PubMed, MEDLINE, EMBASE, Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases from January 2000 to October 2015 using the search terms “prostate cancer,” “ dynamic contrast-enhanced (DCE),” “magnetic resonance imaging,” “K(trans),” “K(ep),” and “V(e).” Studies were selected and included according to strict eligibility criteria. Standardized mean differences (SMDs) and 95% confidence intervals (CIs) were used to compare K(trans), K(ep), and V(e) values between PCa and noncancerous tissue. RESULTS: Fourteen studies representing 484 patients highly suspicious for prostate adenocarcinoma were selected for the meta-analysis. We found that K(trans) values measured by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) were significantly higher in PCa tissue than in noncancerous tissue in the PZ (SMD 1.57, 95% CI 0.98–2.16; z = 5.21, P <0.00001) and CG (SMD 1.19, 95% CI 0.46–1.91; z = 3.21, P = 0.001). K(ep) values measured by DCE-MRI were significantly higher in PCa than in noncancerous tissue in the PZ (SMD 1.41, 95% CI 0.92–1.91; z = 5.59, P < 0.00001) and CG (SMD 1.57, 95% CI 0.69–2.46; z = 3.49, P = 0.0005). V(e) values generated by DCE-MRI were slightly higher in PCa than in noncancerous tissue in the PZ (SMD 0.72, 95% CI 0.17–1.27; z = 2.58, P = 0.010), but sensitivity analysis found that the V(e) value was unstable for differentiation between PCa and noncancerous PZ tissue. However, there was no significant difference in the V(e) value between PCa and noncancerous CG tissue (SMD −0.29, 95% CI −1.18, 0.59; z = 0.65, P = 0.51). CONCLUSION: Our meta-analysis shows that K(trans) and K(ep) were the most reliable parameters for differentiating PCa from noncancerous tissue and were critical for evaluation of the internal structure of cancer. The V(e) value was not helpful for distinguishing PCa from noncancerous CG tissue; its ability to distinguish between PCa and noncancerous PZ tissue remains uncertain.
format Online
Article
Text
id pubmed-5207570
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-52075702017-01-09 Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis Gao, Peng Shi, Changzheng Zhao, Lianping Zhou, Quan Luo, Liangping Medicine (Baltimore) 6800 BACKGROUND: The objective of this meta-analysis was to evaluate the clinical usefulness of K(trans), K(ep), and V(e) values in the differential diagnosis of prostate cancer (PCa) and noncancerous tissue in the peripheral zone (PZ) and central gland (CG). METHODS: A search was conducted of the PubMed, MEDLINE, EMBASE, Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases from January 2000 to October 2015 using the search terms “prostate cancer,” “ dynamic contrast-enhanced (DCE),” “magnetic resonance imaging,” “K(trans),” “K(ep),” and “V(e).” Studies were selected and included according to strict eligibility criteria. Standardized mean differences (SMDs) and 95% confidence intervals (CIs) were used to compare K(trans), K(ep), and V(e) values between PCa and noncancerous tissue. RESULTS: Fourteen studies representing 484 patients highly suspicious for prostate adenocarcinoma were selected for the meta-analysis. We found that K(trans) values measured by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) were significantly higher in PCa tissue than in noncancerous tissue in the PZ (SMD 1.57, 95% CI 0.98–2.16; z = 5.21, P <0.00001) and CG (SMD 1.19, 95% CI 0.46–1.91; z = 3.21, P = 0.001). K(ep) values measured by DCE-MRI were significantly higher in PCa than in noncancerous tissue in the PZ (SMD 1.41, 95% CI 0.92–1.91; z = 5.59, P < 0.00001) and CG (SMD 1.57, 95% CI 0.69–2.46; z = 3.49, P = 0.0005). V(e) values generated by DCE-MRI were slightly higher in PCa than in noncancerous tissue in the PZ (SMD 0.72, 95% CI 0.17–1.27; z = 2.58, P = 0.010), but sensitivity analysis found that the V(e) value was unstable for differentiation between PCa and noncancerous PZ tissue. However, there was no significant difference in the V(e) value between PCa and noncancerous CG tissue (SMD −0.29, 95% CI −1.18, 0.59; z = 0.65, P = 0.51). CONCLUSION: Our meta-analysis shows that K(trans) and K(ep) were the most reliable parameters for differentiating PCa from noncancerous tissue and were critical for evaluation of the internal structure of cancer. The V(e) value was not helpful for distinguishing PCa from noncancerous CG tissue; its ability to distinguish between PCa and noncancerous PZ tissue remains uncertain. Wolters Kluwer Health 2016-12-30 /pmc/articles/PMC5207570/ /pubmed/28033274 http://dx.doi.org/10.1097/MD.0000000000005715 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 6800
Gao, Peng
Shi, Changzheng
Zhao, Lianping
Zhou, Quan
Luo, Liangping
Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis
title Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis
title_full Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis
title_fullStr Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis
title_full_unstemmed Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis
title_short Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis
title_sort differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of dce-mri: a meta-analysis
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207570/
https://www.ncbi.nlm.nih.gov/pubmed/28033274
http://dx.doi.org/10.1097/MD.0000000000005715
work_keys_str_mv AT gaopeng differentialdiagnosisofprostatecancerandnoncanceroustissueintheperipheralzoneandcentralglandusingthequantitativeparametersofdcemriametaanalysis
AT shichangzheng differentialdiagnosisofprostatecancerandnoncanceroustissueintheperipheralzoneandcentralglandusingthequantitativeparametersofdcemriametaanalysis
AT zhaolianping differentialdiagnosisofprostatecancerandnoncanceroustissueintheperipheralzoneandcentralglandusingthequantitativeparametersofdcemriametaanalysis
AT zhouquan differentialdiagnosisofprostatecancerandnoncanceroustissueintheperipheralzoneandcentralglandusingthequantitativeparametersofdcemriametaanalysis
AT luoliangping differentialdiagnosisofprostatecancerandnoncanceroustissueintheperipheralzoneandcentralglandusingthequantitativeparametersofdcemriametaanalysis