Literature DB >> 33316358

Associations between IVIM histogram parameters and histopathology in rectal cancer.

Hans-Jonas Meyer1, Anne Kathrin Höhn2, Katja Woidacki3, Mihailo Andric4, Maciej Powerski5, Maciej Pech5, Alexey Surov5.   

Abstract

PURPOSE: Histogram analysis can better reflect tumor heterogeneity than conventional imaging analysis. The present study analyzed possible correlations between histogram analysis parameters derived from Intravoxel-incoherent imaging (IVIM) and histopathological features in rectal cancer (RC).
METHODS: Seventeen patients with histopathologically proven rectal adenocarcinomas were retrospectively acquired. In all cases, pelvic MRI was performed. Diffusion weighted imaging was obtained using a multi-slice single-shot echo-planar imaging sequence with b values of 0, 50, 200, 500 and 1000 s/mm2. Simplified IVIM analysis was performed using the IntelliSpace portal, version 10 and the following images were generated: f (perfusion fraction) map, D (true diffusion coefficient) map, and ADC map utilizing all b-values. Histogram based analysis of signal intensities was performed for every IVIM map using an in-house matlab tool. Histopathology was investigated using Ki 67 specimens with calculation of Ki 67-index and cellularity. CD31 stained specimens were used for calculation of microvessel density (MVD).
RESULTS: There were statistically significant correlations between Ki 67 index and mode derived from ADC as well as entropy from f, r=-0.50, p=.04 and r=-0.55, p=.02, respectively. MVD correlated well with parameters derived from f.
CONCLUSION: IVIM histogram analysis parameters can reflect histopathology in RC. ADC and D values are associated with proliferation potential. Perfusion fraction f is associated with MVD.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Histogram analysis; IVIM, rectal cancer; MRI; Microvessel density

Mesh:

Year:  2020        PMID: 33316358     DOI: 10.1016/j.mri.2020.12.008

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  4 in total

1.  Combining Clinicopathology, IVIM-DWI and Texture Parameters for a Nomogram to Predict Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients.

Authors:  Rixin Su; Shusheng Wu; Hao Shen; Yaolin Chen; Jingya Zhu; Yu Zhang; Haodong Jia; Mengge Li; Wenju Chen; Yifu He; Fei Gao
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

2.  Quantitative T2*-Weighted Imaging and Reduced Field-of-View Diffusion-Weighted Imaging of Rectal Cancer: Correlation of R2* and Apparent Diffusion Coefficient With Histopathological Prognostic Factors.

Authors:  Yang Peng; Yan Luo; Xuemei Hu; Yaqi Shen; Daoyu Hu; Zhen Li; Ihab Kamel
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

3.  Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study.

Authors:  Weiqun Ao; Xian Zhang; Xiuzhen Yao; Xiandi Zhu; Shuitang Deng; Jianju Feng
Journal:  BMC Med Imaging       Date:  2022-04-28       Impact factor: 2.795

4.  Comparison of different ROI analysis methods for liver lesion characterization with simplified intravoxel incoherent motion (IVIM).

Authors:  Narine Mesropyan; Petra Mürtz; Alois M Sprinkart; Wolfgang Block; Julian A Luetkens; Ulrike Attenberger; Claus C Pieper
Journal:  Sci Rep       Date:  2021-11-23       Impact factor: 4.379

  4 in total

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