Literature DB >> 23863532

Focal liver lesion classification and characterization in noncirrhotic liver: a prospective comparison of diffusion-weighted magnetic resonance-related parameters.

Stefano Colagrande1, Francesco Regini, Filippo Pasquinelli, Lorenzo Nicola Mazzoni, Francesco Mungai, Antonella Filippone, Luigi Grazioli.   

Abstract

PURPOSE: The objective of this study was to prospectively verify if diffusion-weighted magnetic resonance (DwMR)-related parameters such as perfusion fraction (f) and slow diffusion coefficient (D), according to Le Bihan theory, are more effective than apparent diffusion coefficient (ADC) for classification and characterization of the more frequent focal liver lesions (FLLs) in noncirrhotic liver.
METHODS: Sixty-seven patients underwent standard liver magnetic resonance imaging (MRI) and free-breath multi-b DwMR study. Two regions of interest were defined by 2 observers, including 1 FLL for each patient (21 hemangiomas, 21 focal nodular hyperplasias, 25 metastases) and part of surrounding parenchyma, respectively. For every FLL, D, f, and ADC were estimated both as absolute value and as ratio between FLL and surrounding parenchyma by fitting the reduced equation of the bicompartmental model to experimental data; t test, analysis of variance, and receiver operating characteristic analysis were performed.
RESULTS: t Test showed significant differences in ADClesion, f lesion, D lesion, ADCratio, and D ratio values between benign and malignant FLLs, more pronounced for ADClesion (P < 0.0009) and ADCratio (P = 0.001). Applying cutoff values of 1.55 × 10  mm/s (ADClesion) and 0.89 (ADCratio), the DwMR study presented sensitivities and specificities, respectively, of 84% and 80% (for ADClesion), 72% and 80% (ADCratio).
CONCLUSIONS: Apparent diffusion coefficient (by fitting procedures) better performs than do D and f in FLL classification, especially when its values are less than 1.30 or greater than 2.00 × 10  mm/s.

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Year:  2013        PMID: 23863532     DOI: 10.1097/RCT.10.1097/RCT.0b013e3182951fe9

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


  6 in total

1.  Accurate IVIM model-based liver lesion characterisation can be achieved with only three b-value DWI.

Authors:  P Mürtz; A M Sprinkart; M Reick; C C Pieper; A-H Schievelkamp; R König; H H Schild; W A Willinek; G M Kukuk
Journal:  Eur Radiol       Date:  2018-04-18       Impact factor: 5.315

2.  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

3.  Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.

Authors:  Hong-Xia Zhang; Xiu-Shi Zhang; Zi-Xiang Kuai; Yang Zhou; Yun-Feng Sun; Zhi-Chang Ba; Kuang-Bang He; Xi-Qiao Sang; Yuan-Fei Yao; Chun-Yu Chu; Yue-Min Zhu
Journal:  Transl Oncol       Date:  2018-09-11       Impact factor: 4.243

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

5.  Diffusion weighted MR and apparent diffusion coefficient measurement in classification and characterization of noncystic focal liver lesions: does a clinical role exist?

Authors:  Francesco Mungai; Mario Morone; Alberta Villanacci; Maria Pia Bondioni; Lorenzo Nicola Mazzoni; Luigi Grazioli; Stefano Colagrande
Journal:  Medicine (Baltimore)       Date:  2014-07       Impact factor: 1.889

6.  Evaluation of ADCratio on liver MRI diffusion to discriminate benign versus malignant solid liver lesions.

Authors:  Tarun Pankaj Jain; Wen Ter Kan; Sean Edward; Helen Fernon; Renuvathy Kansan Naider
Journal:  Eur J Radiol Open       Date:  2018-11-15
  6 in total

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