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Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth

BACKGROUND/OBJECTIVES: The aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC). METHODS: In this prospective study, DW-MRI and CT perfusion were conducted in nineteen pa...

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Autores principales: Mayer, Philipp, Fritz, Franziska, Koell, Marco, Skornitzke, Stephan, Bergmann, Frank, Gaida, Matthias M., Hackert, Thilo, Maier-Hein, Klaus, Laun, Frederik B., Kauczor, Hans-Ulrich, Grenacher, Lars, Klauß, Miriam, Stiller, Wolfram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816417/
https://www.ncbi.nlm.nih.gov/pubmed/33468259
http://dx.doi.org/10.1186/s40644-021-00382-x
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author Mayer, Philipp
Fritz, Franziska
Koell, Marco
Skornitzke, Stephan
Bergmann, Frank
Gaida, Matthias M.
Hackert, Thilo
Maier-Hein, Klaus
Laun, Frederik B.
Kauczor, Hans-Ulrich
Grenacher, Lars
Klauß, Miriam
Stiller, Wolfram
author_facet Mayer, Philipp
Fritz, Franziska
Koell, Marco
Skornitzke, Stephan
Bergmann, Frank
Gaida, Matthias M.
Hackert, Thilo
Maier-Hein, Klaus
Laun, Frederik B.
Kauczor, Hans-Ulrich
Grenacher, Lars
Klauß, Miriam
Stiller, Wolfram
author_sort Mayer, Philipp
collection PubMed
description BACKGROUND/OBJECTIVES: The aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC). METHODS: In this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVD(tumor)) and microvessel area (MVA(tumor)) were analyzed microscopically in resection specimens. Correlation coefficients between IVIM parameters, CT perfusion parameters, and histological microvessel parameters in tumors were calculated. Receiver operating characteristic (ROC) analysis was performed for differentiation of tumors and upstream parenchyma. RESULTS: f(tumor) significantly positively correlated with BF(tumor) (r = 0.668, p = 0.002) and BV(tumor) (r = 0.672, p = 0.002). There were significant positive correlations between f(tumor) and MVD(tumor)/ MVA(tumor) (r ≥ 0.770, p ≤ 0.009) as well as between BF(tumor) and MVD(tumor)/ MVA(tumor) (r ≥ 0.697, p ≤ 0.025). Correlation coefficients between f(tumor) and MVD(tumor)/ MVA(tumor) were not significantly different from correlation coefficients between BF(tumor) and MVD(tumor)/ MVA(tumor) (p ≥ 0.400). Moreover, f, BF, BV, and permeability values (PEM) showed excellent performance in distinguishing tumors from upstream parenchyma (area under the ROC curve ≥0.874). CONCLUSIONS: The study shows that IVIM derived f(tumor) and CT perfusion derived BF(tumor) similarly reflect vascularity of PDAC and seem to be comparably applicable for the evaluation of tumor perfusion for tumor characterization and as potential quantitative imaging biomarker. TRIAL REGISTRATION: DRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial. HTML&TRIAL_ID=DRKS00022227. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-021-00382-x.
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spelling pubmed-78164172021-01-22 Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth Mayer, Philipp Fritz, Franziska Koell, Marco Skornitzke, Stephan Bergmann, Frank Gaida, Matthias M. Hackert, Thilo Maier-Hein, Klaus Laun, Frederik B. Kauczor, Hans-Ulrich Grenacher, Lars Klauß, Miriam Stiller, Wolfram Cancer Imaging Research Article BACKGROUND/OBJECTIVES: The aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC). METHODS: In this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVD(tumor)) and microvessel area (MVA(tumor)) were analyzed microscopically in resection specimens. Correlation coefficients between IVIM parameters, CT perfusion parameters, and histological microvessel parameters in tumors were calculated. Receiver operating characteristic (ROC) analysis was performed for differentiation of tumors and upstream parenchyma. RESULTS: f(tumor) significantly positively correlated with BF(tumor) (r = 0.668, p = 0.002) and BV(tumor) (r = 0.672, p = 0.002). There were significant positive correlations between f(tumor) and MVD(tumor)/ MVA(tumor) (r ≥ 0.770, p ≤ 0.009) as well as between BF(tumor) and MVD(tumor)/ MVA(tumor) (r ≥ 0.697, p ≤ 0.025). Correlation coefficients between f(tumor) and MVD(tumor)/ MVA(tumor) were not significantly different from correlation coefficients between BF(tumor) and MVD(tumor)/ MVA(tumor) (p ≥ 0.400). Moreover, f, BF, BV, and permeability values (PEM) showed excellent performance in distinguishing tumors from upstream parenchyma (area under the ROC curve ≥0.874). CONCLUSIONS: The study shows that IVIM derived f(tumor) and CT perfusion derived BF(tumor) similarly reflect vascularity of PDAC and seem to be comparably applicable for the evaluation of tumor perfusion for tumor characterization and as potential quantitative imaging biomarker. TRIAL REGISTRATION: DRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial. HTML&TRIAL_ID=DRKS00022227. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-021-00382-x. BioMed Central 2021-01-19 /pmc/articles/PMC7816417/ /pubmed/33468259 http://dx.doi.org/10.1186/s40644-021-00382-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mayer, Philipp
Fritz, Franziska
Koell, Marco
Skornitzke, Stephan
Bergmann, Frank
Gaida, Matthias M.
Hackert, Thilo
Maier-Hein, Klaus
Laun, Frederik B.
Kauczor, Hans-Ulrich
Grenacher, Lars
Klauß, Miriam
Stiller, Wolfram
Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
title Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
title_full Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
title_fullStr Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
title_full_unstemmed Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
title_short Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth
title_sort assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of intravoxel incoherent motion mri and ct perfusion: correlation with histological microvessel density as ground truth
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816417/
https://www.ncbi.nlm.nih.gov/pubmed/33468259
http://dx.doi.org/10.1186/s40644-021-00382-x
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