Literature DB >> 19204445

Diffusion-weighted magnetic resonance imaging for characterization of focal liver masses: impact of parallel imaging (SENSE) and b value.

Sukru Mehmet Erturk1, Tomoaki Ichikawa, Katsuhiro Sano, Utarou Motosugi, Hironobu Sou, Tsutomu Araki.   

Abstract

PURPOSE: To evaluate the impact of parallel imaging (sensitivity encoding [SENSE] technique) on diffusion-weighted (DW) magnetic resonance imaging, compare DW imaging techniques with 2 different b values for characterization of focal hepatic lesions, and determine apparent diffusion coefficient cutoff values.
MATERIALS AND METHODS: Seventy-eight patients with 86 lesions were examined with 4 different DW techniques with 2 different b values (400 and 1000 s/mm2) and with/without the use of SENSE. The differences in signal-noise ratio values and image quality between DW images obtained with different techniques were compared using repeated-measures analysis of variance and Friedman test, respectively. A receiver operating characteristic analysis was applied to evaluate the apparent diffusion coefficient values as a discriminating variable to differentiate malignant lesions from benign ones; sensitivity and specificity were calculated.
RESULTS: There was no significant difference in the signal-noise ratio value and image quality between DW images obtained with b = 400 s/mm2 without SENSE (DW400) and b = 1000 s/mm2 with SENSE (DW1000SENSE). DW1000SENSE had the highest Az values for discriminating malignant from benign hepatic lesions (0.97) and hemangioma from metastasis (0.89). Using 1.63 x 10(-3) mm2/s as the cutoff value, DW1000SENSE had a sensitivity of 95.2% (40/42) and a specificity of 91.0% (40/44) for differentiating benign from malignant hepatic lesions. Using a cutoff value of 1.45 x 10(-3) mm2/s, DW1000SENSE had a sensitivity of 90.5% (19/21) and a specificity of 93.7% (15/16) for differentiating metastases from hemangiomas.
CONCLUSIONS: Diffusion-weighted imaging with a b value of 1000 s/mm2 and SENSE has the potential to differentiate hepatic focal lesions with improved sensitivity and specificity.

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Year:  2008        PMID: 19204445     DOI: 10.1097/RCT.0b013e3181591cf2

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  7 in total

Review 1.  Lesion discrimination with breath-hold hepatic diffusion-weighted imaging: a meta-analysis.

Authors:  Zhi-Guang Chen; Li Xu; Si-Wei Zhang; Yan Huang; Rui-Huan Pan
Journal:  World J Gastroenterol       Date:  2015-02-07       Impact factor: 5.742

2.  Accuracy of visual analysis vs. apparent diffusion coefficient quantification in differentiating solid benign and malignant focal liver lesions with diffusion-weighted imaging.

Authors:  R Girometti; M Del Pin; S Pullini; L Cereser; G Como; M Bazzocchi; C Zuiani
Journal:  Radiol Med       Date:  2012-09-17       Impact factor: 3.469

3.  [Importance of diffusion imaging in liver metastases].

Authors:  P Riffel; S O Schoenberg; J Krammer
Journal:  Radiologe       Date:  2017-05       Impact factor: 0.635

4.  Diffusion-weighted MR imaging before and after contrast enhancement with superparamagnetic iron oxide for assessment of hepatic metastasis.

Authors:  Hana Kim; Jeong-Sik Yu; Dae Jung Kim; Jae-Joon Chung; Joo Hee Kim; Ki Whang Kim
Journal:  Yonsei Med J       Date:  2012-07-01       Impact factor: 2.759

5.  Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-weighted imaging: a meta-analysis.

Authors:  Jie Chen; Mingpeng Wu; Rongbo Liu; Siyi Li; Ronghui Gao; Bin Song
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

6.  Application values of 3.0T magnetic resonance diffusion weighted imaging for distinguishing liver malignant tumors and benign lesions.

Authors:  Ruibin Li; Guangyao Wu; Rui Wang
Journal:  Oncol Lett       Date:  2017-12-08       Impact factor: 2.967

7.  Diagnostic accuracy of diffusion-weighted imaging with conventional MR imaging for differentiating complex solid and cystic ovarian tumors at 1.5T.

Authors:  Ping Zhang; Yanfen Cui; Wenhua Li; Gang Ren; Caiting Chu; Xiangru Wu
Journal:  World J Surg Oncol       Date:  2012-11-09       Impact factor: 2.754

  7 in total

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