Literature DB >> 23455763

Diffusion-weighted and T2-weighted MR imaging for colorectal liver metastases detection in a rat model at 7 T: a comparative study using histological examination as reference.

Mathilde Wagner1, Léon Maggiori, Maxime Ronot, Valérie Paradis, Valérie Vilgrain, Yves Panis, Bernard E Van Beers.   

Abstract

OBJECTIVES: To compare diffusion-weighted (DW) and T2-weighted MR imaging in detecting colorectal liver metastases in a rat model, using histological examination as a reference method.
METHODS: Eighteen rats had four liver injections of colon cancer cells. MR examinations at 7 T included FSE-T2-weighted imaging and SE-DW MR imaging (b = 0, 20 and 150 s/mm(2)) and were analysed by two independent readers. Histological examination was performed on 0.4-mm slices. McNemar's test was used to compare the sensitivities and the Wilcoxon matched pairs test to compare the average number of false-positives per rat.
RESULTS: One hundred and sixty-six liver metastases were identified on histological examination. The sensitivity in detecting liver metastases was significantly higher on DW MR than on T2-weighted images (99/166 (60 %) (reader 1) and 92/166 (55 %) (reader 2) versus 77/166 (46 %), P ≤ 0.001), without an increase in false-positives per rat (P = 0.773/P = 0.850). After stratification according to metastasis diameter, DW MR imaging had a significantly higher sensitivity than T2-weighted imaging only for metastases with a diameter (0.6-1.2 mm) similar to that of the spatial resolution of MR imaging in the current study.
CONCLUSIONS: This MR study with histological correlations shows the higher sensitivity of DW relative to T2-weighted imaging at 7 T for detecting liver metastases, especially small ones. KEY POINTS: • Diffusion weighted (DW) sequences are increasingly used in magnetic resonance imaging (MRI). • DW has higher sensitivity for liver metastases than T2-weighted imaging at 7 T. • This increase in sensitivity is especially marked for small liver metastasis detection. • This higher sensitivity is confirmed in an animal model with histological correlation. • DW imaging has the potential for earlier diagnosis of small liver metastases.

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Year:  2013        PMID: 23455763     DOI: 10.1007/s00330-013-2789-y

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  27 in total

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2.  Black-blood diffusion-weighted EPI acquisition of the liver with parallel imaging: comparison with a standard T2-weighted sequence for detection of focal liver lesions.

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3.  Effect on outcome of recurrence patterns after hepatectomy for colorectal metastases.

Authors:  Michael D'Angelica; Peter Kornprat; Mithat Gonen; Ronald P DeMatteo; Yuman Fong; Leslie H Blumgart; William R Jarnagin
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Review 4.  Diffusion-weighted MR imaging of the liver.

Authors:  Bachir Taouli; Dow-Mu Koh
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

5.  Detection and classification of focal liver lesions in patients with colorectal cancer: retrospective comparison of diffusion-weighted MR imaging and multi-slice CT.

Authors:  Matthias Eiber; Alexander A Fingerle; Melanie Brügel; Jochen Gaa; Ernst J Rummeny; Konstantin Holzapfel
Journal:  Eur J Radiol       Date:  2011-02-12       Impact factor: 3.528

6.  Breath-hold T2-weighted MRI of hepatic tumors: value of echo planar imaging with diffusion-sensitizing gradient.

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Journal:  J Comput Assist Tomogr       Date:  1998 May-Jun       Impact factor: 1.826

7.  Trends in long-term survival following liver resection for hepatic colorectal metastases.

Authors:  Michael A Choti; James V Sitzmann; Marcelo F Tiburi; Wuthi Sumetchotimetha; Ram Rangsin; Richard D Schulick; Keith D Lillemoe; Charles J Yeo; John L Cameron
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Review 8.  Abdominal MRI at 3.0 T: the basics revisited.

Authors:  Elmar M Merkle; Brian M Dale
Journal:  AJR Am J Roentgenol       Date:  2006-06       Impact factor: 3.959

9.  Bias, underestimation of risk, and loss of statistical power in patient-level analyses of lesion detection.

Authors:  Nancy A Obuchowski; Peter J Mazzone; Abraham H Dachman
Journal:  Eur Radiol       Date:  2009-09-16       Impact factor: 5.315

10.  Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging.

Authors:  Tejas Parikh; Stephen J Drew; Vivian S Lee; Samson Wong; Elizabeth M Hecht; James S Babb; Bachir Taouli
Journal:  Radiology       Date:  2008-01-25       Impact factor: 11.105

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  5 in total

1.  Screening and validation for plasma biomarkers of nephrotoxicity based on metabolomics in male rats.

Authors:  Yubo Li; Haoyue Deng; Liang Ju; Xiuxiu Zhang; Zhenzhu Zhang; Zhen Yang; Lei Wang; Zhiguo Hou; Yanjun Zhang
Journal:  Toxicol Res (Camb)       Date:  2015-11-05       Impact factor: 3.524

2.  Diffusion-weighted MRI for uveal melanoma liver metastasis detection.

Authors:  Mathilde Wagner; Pascale Mariani; François Clément Bidard; Manuel Jorge Rodrigues; Fereshteh Farkhondeh; Nathalie Cassoux; Sophie Piperno-Neumann; Slavomir Petras; Vincent Servois
Journal:  Eur Radiol       Date:  2015-02-26       Impact factor: 5.315

3.  Free-breathing 3D diffusion MRI for high-resolution hepatic metastasis characterization in small animals.

Authors:  Emeline J Ribot; Aurélien J Trotier; Charles R Castets; Benjamin Dallaudière; Eric Thiaudière; Jean-Michel Franconi; Sylvain Miraux
Journal:  Clin Exp Metastasis       Date:  2015-11-05       Impact factor: 5.150

4.  Differentiated epithelial- and mesenchymal-like phenotypes in subcutaneous mouse xenografts using diffusion weighted-magnetic resonance imaging.

Authors:  Ya-Wen Chen; Huay-Ben Pan; Hui-Hwa Tseng; Hsiao-Chien Chu; Yu-Ting Hung; Yi-Chen Yen; Chen-Pin Chou
Journal:  Int J Mol Sci       Date:  2013-11-05       Impact factor: 5.923

5.  Intratumoral heterogeneity of breast cancer xenograft models: texture analysis of diffusion-weighted MR imaging.

Authors:  Bo La Yun; Nariya Cho; Mulan Li; Min Hye Jang; So Yeon Park; Ho Chul Kang; Bohyoung Kim; In Chan Song; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2014-09-12       Impact factor: 3.500

  5 in total

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