Literature DB >> 26186280

Correlation of Histological Vessel Characteristics and Diffusion-Weighted Imaging Intravoxel Incoherent Motion-Derived Parameters in Pancreatic Ductal Adenocarcinomas and Pancreatic Neuroendocrine Tumors.

Miriam Klau1, Philipp Mayer, Frank Bergmann, Klaus Maier-Hein, Judith Hase, Thilo Hackert, Hans-Ulrich Kauczor, Lars Grenacher, Bram Stieltjes.   

Abstract

OBJECTIVE: To investigate the correlation between intravoxel incoherent motion (IVIM) model-derived parameters and histologically determined microvascularity in pancreatic ductal adenocarcinomas (PDACs) and pancreatic neuroendocrine tumors (PNETs).
MATERIALS AND METHODS: From April 2013 to May 2014, 42 patients with malignant pancreatic tumors were prospectively examined with diffusion-weighted imaging (DWI) magnetic resonance imaging using a breath-hold variant with 9 b values (0-800 seconds/mm). Intravoxel incoherent motion parameters were extracted from 2 types of volumes of interest (VOIs), one VOI encompassing the total tumor volume (TTV) and another VOI corresponding to the histological regional tumor location (RTV). In 36 PDACs and 6 PNETs, microvessel analysis was performed based on representative tissue sections from the resected tumor tissue, and microvessel density (MVD) as well as microvessel area were calculated. We performed a Pearson-correlation test to study the relationship between IVIM-derived and histology-derived parameters.
RESULTS: The DWI-IVIM-derived flowing blood volume fraction f was significantly lower in PDACs compared to PNETs (9.9% ± 5.4% vs 15.5% ± 5.2%; P < 0.0001), the diffusion coefficient D was significantly higher (1.2 ± 0.18 × 10 vs 1.03 ± 0.15 × 10 mm/s; P = 0.001). There was no significant difference in the pseudodiffusion coefficient D* (44.9 ± 52.9 ×10 vs 53.8 ± 51.2 × 10 mm/s). Microvessel density was significantly lower in PDACs (36.8 ± 25.9/mm vs 80.0 ± 26.1/mm; P = 0.0005) compared to PNETs. When derived from the RTV, the flowing blood volume fraction f and MVD of PDACs and PNETs showed excellent correlation (r = 0.85). The correlation using the TTV was moderate (0.64). f (RTV and TTV) and microvessel area showed moderate correlation (r = 0.54/0.47).
CONCLUSIONS: Intravoxel incoherent motion-derived flowing blood volume fraction f and MVD demonstrate an excellent correlation with histological tumor features in PDAC and PNET. Consequently, IVIM DWI may serve as noninvasive marker of tumor vascularity in different types of pancreatic neoplasms.

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Mesh:

Year:  2015        PMID: 26186280     DOI: 10.1097/RLI.0000000000000187

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  19 in total

Review 1.  Imaging of pancreatic neuroendocrine tumors: recent advances, current status, and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2018-07-17       Impact factor: 4.512

2.  Measurement of the perfusion fraction in brain tumors with intravoxel incoherent motion MR imaging: validation with histopathological vascular density in meningiomas.

Authors:  Osamu Togao; Akio Hiwatashi; Koji Yamashita; Kazufumi Kikuchi; Daichi Momosaka; Koji Yoshimoto; Daisuke Kuga; Masahiro Mizoguchi; Satoshi O Suzuki; Toru Iwaki; Marc Van Cauteren; Koji Iihara; Hiroshi Honda
Journal:  Br J Radiol       Date:  2018-02-16       Impact factor: 3.039

3.  Correlations between intravoxel incoherent motion (IVIM) parameters and histological findings in rectal cancer: preliminary results.

Authors:  Alexey Surov; Hans Jonas Meyer; Anne-Kathrin Höhn; Curd Behrmann; Andreas Wienke; Rolf Peter Spielmann; Nikita Garnov
Journal:  Oncotarget       Date:  2017-03-28

4.  Changes in the microarchitecture of the pancreatic cancer stroma are linked to neutrophil-dependent reprogramming of stellate cells and reflected by diffusion-weighted magnetic resonance imaging.

Authors:  Philipp Mayer; Christine Dinkic; Ralf Jesenofsky; Miriam Klauss; Peter Schirmacher; Ulrike Dapunt; Thilo Hackert; Florian Uhle; G Maria Hänsch; Matthias M Gaida
Journal:  Theranostics       Date:  2018-01-01       Impact factor: 11.556

Review 5.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

Review 6.  [The microarchitecture of pancreatic cancer from the point of view of the pathologist and the radiologist].

Authors:  Philipp Mayer; Matthias M Gaida
Journal:  Pathologe       Date:  2021-05-06       Impact factor: 1.011

7.  Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients.

Authors:  Oliver J Gurney-Champion; Remy Klaassen; Martijn Froeling; Sebastiano Barbieri; Jaap Stoker; Marc R W Engelbrecht; Johanna W Wilmink; Marc G Besselink; Arjan Bel; Hanneke W M van Laarhoven; Aart J Nederveen
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

8.  Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience.

Authors:  Remy Klaassen; Anne Steins; Oliver J Gurney-Champion; Maarten F Bijlsma; Geertjan van Tienhoven; Marc R W Engelbrecht; Casper H J van Eijck; Mustafa Suker; Johanna W Wilmink; Marc G Besselink; Olivier R Busch; Onno J de Boer; Marc J van de Vijver; Gerrit K J Hooijer; Joanne Verheij; Jaap Stoker; Aart J Nederveen; Hanneke W M van Laarhoven
Journal:  Mol Oncol       Date:  2020-06-23       Impact factor: 6.603

9.  Monitoring the Process of Endostar-Induced Tumor Vascular Normalization by Non-contrast Intravoxel Incoherent Motion Diffusion-Weighted MRI.

Authors:  Jing-Hua Pan; Shengbin Zhu; Jinlian Huang; Jianye Liang; Dong Zhang; Xiaoxu Zhao; Hui Ding; Li Qin; Changzheng Shi; Liangping Luo; Yunlong Pan
Journal:  Front Oncol       Date:  2018-11-13       Impact factor: 6.244

Review 10.  Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Authors:  Hongzhen Wu; Yingying Liang; Xinqing Jiang; Xinhua Wei; Yu Liu; Weifeng Liu; Yuan Guo; Wenjie Tang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

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