Literature DB >> 17994317

Respiratory gated diffusion-weighted imaging of the liver: value of apparent diffusion coefficient measurements in the differentiation between most commonly encountered benign and malignant focal liver lesions.

Sofia Gourtsoyianni1, Nickolas Papanikolaou, Spyros Yarmenitis, Thomas Maris, Apostolos Karantanas, Nicholas Gourtsoyiannis.   

Abstract

The purpose of this study was to measure apparent diffusion coefficient values of normal liver parenchyma and focal liver lesions utilizing a respiratory gated diffusion sequence with multiple b-values and to investigate whether apparent diffusion coefficient (ADC) measurements may be utilized to characterize and differentiate between malignant and benign focal hepatic lesions. Thirty-eight consecutive patients underwent MRI of the liver including diffusion-weighted imaging (DWI). A single-shot echo planar imaging sequence was applied in coronal orientation with multiple b-values (0, 50, 500, 1,000 s/mm2) and respiratory gating. ADC values were recorded on corresponding maps utilizing region of interest measurements in patients with benign (group A), malignant (group B) focal lesions and liver parenchyma (group C). Statistical analysis was applied to check whether differences in mean ADC values were significant (p<0.05). No focal lesions were detected in 11 patients, with a mean ADC value (CI 95%) of liver parenchyma 1.25x10(-3) mm2/s (1.21x10(-3) mm2/s-1.29x10(-3) mm2/s). Differences in mean ADC of liver parenchyma between group A and B were not significant (p=0.054, 1.30x10(-3) mm2/s and 1.31x10(-3) mm2/s, respectively). Mean ADC value (95% CI) of 22 benign lesions found in 18 patients was 2.55x10(-3) mm2/s (2.35x10(-3) mm2/s-2.74x10(-3) mm2/s), while the mean ADC value (95% CI) of 16 malignant lesions recorded in 9 patients was 1.04x10(-3) mm2/s (0.9x10(-3) mm2/s-1.17x10(-3) mm2/s). The difference between mean ADC values of benign and malignant focal lesions was statistically significant (p<0.0001). Respiratory gated diffusion-weighted imaging in the liver is technically feasible. Apparent diffusion coefficient measurements can be useful in differentiating malignant from benign focal liver lesions.

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Year:  2007        PMID: 17994317     DOI: 10.1007/s00330-007-0798-4

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


  21 in total

1.  ADC measurement of abdominal organs and lesions using parallel imaging technique.

Authors:  Takeshi Yoshikawa; Hideaki Kawamitsu; Donald G Mitchell; Yoshiharu Ohno; Yonson Ku; Yasushi Seo; Masahiko Fujii; Kazuro Sugimura
Journal:  AJR Am J Roentgenol       Date:  2006-12       Impact factor: 3.959

2.  Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy.

Authors:  Rebecca J Theilmann; Rebecca Borders; Theodore P Trouard; Guowei Xia; Eric Outwater; James Ranger-Moore; Robert J Gillies; Alison Stopeck
Journal:  Neoplasia       Date:  2004 Nov-Dec       Impact factor: 5.715

3.  Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging.

Authors:  I Yamada; W Aung; Y Himeno; T Nakagawa; H Shibuya
Journal:  Radiology       Date:  1999-03       Impact factor: 11.105

4.  Diffusion-weighted single-shot echoplanar MR imaging for liver disease.

Authors:  T Kim; T Murakami; S Takahashi; M Hori; K Tsuda; H Nakamura
Journal:  AJR Am J Roentgenol       Date:  1999-08       Impact factor: 3.959

5.  Pre-operative detection of malignant hepatic tumours: value of combined helical CT during arterial portography and biphasic CT during hepatic arteriography.

Authors:  M Matsuo; M Kanematsu; Y Inaba; K Matsueda; T Yamagami; H Kondo; Y Arai; H Hoshi
Journal:  Clin Radiol       Date:  2001-02       Impact factor: 2.350

6.  Correlation of diffusion-weighted MR imaging with cellularity of renal tumours.

Authors:  Ettore Squillaci; Guglielmo Manenti; Maria Cova; Mauro Di Roma; Roberto Miano; Giampiero Palmieri; Giovanni Simonetti
Journal:  Anticancer Res       Date:  2004 Nov-Dec       Impact factor: 2.480

7.  Evaluation of the accuracy of gadobenate dimeglumine-enhanced MR imaging in the detection and characterization of focal liver lesions.

Authors:  G Pirovano; A Vanzulli; L Marti-Bonmati; L Grazioli; R Manfredi; A Greco; N Holzknecht; H E Daldrup-Link; E Rummeny; B Hamm; V Arneson; L Imperatori; M A Kirchin; A Spinazzi
Journal:  AJR Am J Roentgenol       Date:  2000-10       Impact factor: 3.959

8.  Diffusion-weighted MR imaging for urinary bladder carcinoma: initial results.

Authors:  Mitsuru Matsuki; Yuki Inada; Fuminari Tatsugami; Masato Tanikake; Isamu Narabayashi; Yoji Katsuoka
Journal:  Eur Radiol       Date:  2006-07-25       Impact factor: 5.315

9.  Diffusion-weighted echo-planar MRI of the brain with calculated ADCs: a useful tool in the differential diagnosis of tumor necrosis from abscess?

Authors:  U Dorenbeck; B Butz; J Schlaier; T Bretschneider; G Schuierer; S Feuerbach
Journal:  J Neuroimaging       Date:  2003-10       Impact factor: 2.486

10.  Differentiation between benign and malignant hepatic lesions: utility of color stimulated acoustic emission with the microbubble contrast agent Levovist.

Authors:  Alexandra von Herbay; Christoph Vogt; Dieter Häussinger
Journal:  J Ultrasound Med       Date:  2004-02       Impact factor: 2.153

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  60 in total

1.  Intra-hepatic arterioportal shunt mimicking a metastatic liver tumor: report of a case.

Authors:  Koichiro Haruki; Shigeki Wakiyama; Hiroaki Shiba; Yuichi Ishida; Katsuhiko Yanaga
Journal:  Surg Today       Date:  2011-12-06       Impact factor: 2.549

2.  The diffusion-weighted imaging perfusion fraction f is a potential marker of sorafenib treatment in advanced hepatocellular carcinoma: a pilot study.

Authors:  Maïté Lewin; Laetitia Fartoux; Alexandre Vignaud; Lionel Arrivé; Yves Menu; Olivier Rosmorduc
Journal:  Eur Radiol       Date:  2010-08-05       Impact factor: 5.315

3.  Effect of imaging parameters on the accuracy of apparent diffusion coefficient and optimization strategies.

Authors:  Azim Celik
Journal:  Diagn Interv Radiol       Date:  2016 Jan-Feb       Impact factor: 2.630

4.  Comparison of diffusion-weighted imaging and T2-weighted single shot fast spin-echo: Implications for LI-RADS characterization of hepatocellular carcinoma.

Authors:  Robert M Hicks; Judy Yee; Michael A Ohliger; Stefanie Weinstein; Jeffrey Kao; Nabia S Ikram; Thomas A Hope
Journal:  Magn Reson Imaging       Date:  2016-04-21       Impact factor: 2.546

Review 5.  Meta-analysis of quantitative diffusion-weighted MR imaging in differentiating benign and malignant pancreatic masses.

Authors:  Xiang-Ke Niu; Anup Bhetuwal; Sushant Das; Ying-Quan Xiao; Feng Sun; Li-Chuan Zeng; Han-Feng Yang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2014-12-06

Review 6.  Diffusion weighted imaging in the liver.

Authors:  Petra G Kele; Eric J van der Jagt
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

7.  Comparison of magnetic resonance elastography and diffusion-weighted imaging for differentiating benign and malignant liver lesions.

Authors:  Tiffany P Hennedige; James Thomas Patrick Decourcy Hallinan; Fiona P Leung; Lynette Li San Teo; Sridhar Iyer; Gang Wang; Stephen Chang; Krishna Kumar Madhavan; Aileen Wee; Sudhakar K Venkatesh
Journal:  Eur Radiol       Date:  2015-06-02       Impact factor: 5.315

Review 8.  Various diffusion magnetic resonance imaging techniques for pancreatic cancer.

Authors:  Meng-Yue Tang; Xiao-Ming Zhang; Tian-Wu Chen; Xiao-Hua Huang
Journal:  World J Radiol       Date:  2015-12-28

9.  Diffusion-weighted MRI in intrahepatic bile duct adenoma arising from the cirrhotic liver.

Authors:  Chansik An; Sumi Park; Yoon Jung Choi
Journal:  Korean J Radiol       Date:  2013-08-30       Impact factor: 3.500

10.  Quantitative liver ADC measurements using diffusion-weighted MRI at 3 Tesla: evaluation of reproducibility and perfusion dependence using different techniques for respiratory compensation.

Authors:  Nis Elbrønd Larsen; Søren Haack; Lars Peter Skovgaard Larsen; Erik Morre Pedersen
Journal:  MAGMA       Date:  2013-03-13       Impact factor: 2.310

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