Literature DB >> 35107589

Correlation between diffusion kurtosis and intravoxel incoherent motion derived (IVIM) parameters and tumor tissue composition in rectal cancer: a pilot study.

Jie Yuan1, Zhigang Gong1, Kun Liu2, Jingjing Song1, Qun Wen1, Wenli Tan3, Songhua Zhan1, Qiang Shen1.   

Abstract

PURPOSE: To correlate non-invasive quantitative diffusion kurtosis imaging (DKI) and intravoxel incoherent motion-derived (IVIM) parameters with rectal cancer composition assessed by the expression of caudal-type homeobox 2 (CDX-2), Vimentin (VIM), CD34 and Ki-67 on resected tissues, as well as the tumor stroma ratio (TSR) and the results of H&E and Masson staining.
MATERIALS AND METHODS: A prospective study of 26 patients with rectal cancer who underwent magnetic resonance (MR) imaging, including DKI with 4 b values and IVIM at 3.0 T prior to surgery. Primary tumor was harvested and fixed for H&E, immunohistochemistry and Masson staining. One-way ANOVA was used to test the differences. Pearson correlation coefficients and multiple linear regression analyses were applied to evaluation the correlations.
RESULTS: The apparent diffusion coefficient (ADCDKI) and MKDKI all exhibited significant differences in subgroups with different T stages (P < 0.05) and among high- and low- grade rectal cancer (P < 0.05). MDDKI showed a moderate negative correlation with CDX-2 (r = - 0.42, P = 0.040) and a moderate positive correlation with CD34 (r = 0.42, P = 0.041). ADCIVIM exhibited a moderate positive correlation with Masson staining (r = 0.426, P = 0.048) DIVIM showed a moderate negative correlation with CDX-2 (r = - 0.58, P = 0.005). [Formula: see text] showed a moderate positive correlation with VIM (r = 0.445, P = 0.033).
CONCLUSION: ADCDKI and MKDKI demonstrated a higher correlation with T stages and histologic grades. MDDKI showed significant correlations with CDX-2 and CD34. ADCIVIM showed significant correlation with Masson. DIVIM showed significant correlations with CDX-2 and [Formula: see text] showed significant correlation with VIM. These findings should be validated in a larger study.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Diffusion kurtosis imaging; Intravoxel incoherent motion-derived; Rectal cancer; Tumor tissue composition

Mesh:

Year:  2022        PMID: 35107589     DOI: 10.1007/s00261-022-03426-3

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  20 in total

1.  Intravoxel Incoherent Motion-derived Histogram Metrics for Assessment of Response after Combined Chemotherapy and Radiation Therapy in Rectal Cancer: Initial Experience and Comparison between Single-Section and Volumetric Analyses.

Authors:  Stephanie Nougaret; Hebert Alberto Vargas; Yulia Lakhman; Romain Sudre; Richard K G Do; Frederic Bibeau; David Azria; Eric Assenat; Nicolas Molinari; Marie-Ange Pierredon; Philippe Rouanet; Boris Guiu
Journal:  Radiology       Date:  2016-02-26       Impact factor: 11.105

Review 2.  Molecular diffusion, tissue microdynamics and microstructure.

Authors:  D Le Bihan
Journal:  NMR Biomed       Date:  1995 Nov-Dec       Impact factor: 4.044

3.  Diffusion Kurtosis Imaging Study of Rectal Adenocarcinoma Associated with Histopathologic Prognostic Factors: Preliminary Findings.

Authors:  Lan Zhu; Zilai Pan; Qian Ma; Wenjie Yang; Hongyuan Shi; Caixia Fu; Xu Yan; Lianjun Du; Fuhua Yan; Huan Zhang
Journal:  Radiology       Date:  2016-12-05       Impact factor: 11.105

4.  Characterization of clear cell renal cell carcinoma with diffusion kurtosis imaging: correlation between diffusion kurtosis parameters and tumor cellularity.

Authors:  Yongming Dai; Qiuying Yao; Guangyu Wu; Dongmei Wu; Lianming Wu; Li Zhu; Rong Xue; Jianrong Xu
Journal:  NMR Biomed       Date:  2016-04-27       Impact factor: 4.044

5.  MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

Authors:  D Le Bihan; E Breton; D Lallemand; P Grenier; E Cabanis; M Laval-Jeantet
Journal:  Radiology       Date:  1986-11       Impact factor: 11.105

6.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

7.  Intravoxel incoherent motion MR imaging of early cervical carcinoma: correlation between imaging parameters and tumor-stroma ratio.

Authors:  Xiangsheng Li; Ping Wang; Dechang Li; Hongxian Zhu; Limin Meng; Yunlong Song; Lizhi Xie; Jianping Zhu; Tao Yu
Journal:  Eur Radiol       Date:  2017-12-08       Impact factor: 5.315

8.  Intravoxel Incoherent Motion and Quantitative Non-Gaussian Diffusion MR Imaging: Evaluation of the Diagnostic and Prognostic Value of Several Markers of Malignant and Benign Breast Lesions.

Authors:  Mami Iima; Masako Kataoka; Shotaro Kanao; Natsuko Onishi; Makiko Kawai; Akane Ohashi; Rena Sakaguchi; Masakazu Toi; Kaori Togashi
Journal:  Radiology       Date:  2017-11-02       Impact factor: 11.105

Review 9.  MRI quantification of non-Gaussian water diffusion by kurtosis analysis.

Authors:  Jens H Jensen; Joseph A Helpern
Journal:  NMR Biomed       Date:  2010-08       Impact factor: 4.044

10.  Advanced Diffusion-weighted Imaging Modeling for Prostate Cancer Characterization: Correlation with Quantitative Histopathologic Tumor Tissue Composition-A Hypothesis-generating Study.

Authors:  Stefanie J Hectors; Sahar Semaan; Christopher Song; Sara Lewis; George K Haines; Ashutosh Tewari; Ardeshir R Rastinehad; Bachir Taouli
Journal:  Radiology       Date:  2017-11-08       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.