Literature DB >> 27708485

DWI/ADC in Differentiation of Benign from Malignant Focal Liver Lesion.

Elma Jahic1, Amela Sofic1, Azra Husic Selimovic2.   

Abstract

MATERIAL AND METHODS: The study was of prospective-retrospective character. It was carried out at the AKH in Vienna (Austria), where 100 patients with focal liver lesions were included in the study. All patients underwent the routine MR sequences on appliances 1,5 and 3T (Siemens, Germany): T1, T2, HASTE, VIBE, and a DWI with three b values (b 50, b 300 b 600 s / mm2) and ADC map with ROI (regions of interest). The numerical value of ADC map was calculated, where n = 100 liver lesions, by two independent radiologists.
RESULTS: On the basis of matching the PH finding statistically we get DWI accuracy of 96.8% for the assessment of liver lesions. The average numerical value of ADC in benign hepatic lesions (FNH, Hemangiomas) in our study amounted to 1.88 (1.326 to 2.48) x103 mm2 /s, while the value of malignant liver lesions (HCC, CCC, CRCLM) were significantly lower and amounted to 1.15 (1.024 to 1.343) x10-3 mm2 /s (Figure 2). Differences between the mean ADC of benign and malignant lesions showed a statistically significant difference with p <0.0005. In our research, we get cut-off for the ADC value of 1,341x10-3 mm2 /s, which proved to be the optimal parameter for differentiation between benign and malignant lesions.
CONCLUSION: Measuring ADC values with DWI as an additional MRI tool can help in oncological practice by distinguishing normal liver parenchyma from focal lesions, and in differentiating benign from malignant liver lesions, particularly in cases where administration of contrast is not possible.

Entities:  

Keywords:  apparent diffusion coefficient; diffusion weighted imaging; focal liver lesions

Year:  2016        PMID: 27708485      PMCID: PMC5037977          DOI: 10.5455/aim.2016.24.244-247

Source DB:  PubMed          Journal:  Acta Inform Med        ISSN: 0353-8109


1. INTRODUCTION

Using the current modalities radiologists are now able to provide clinical information related to the pathology of the liver parenchyma. Routine clinical cases have become more demanding and complex, especially because of the growing number of therapeutic procedures in the treatment of focal liver lesions. Due to its high contrast resolution DWI as part of MRI protocol has a growing importance in oncological imaging (1). So far, DWI has been able to detect certain alterations in microarchitecture of liver parenchyma and therefore has the potential to improve the characterization of focal liver lesions (2, 3).

2. MATERIALS AND METHODS

The study was of prospective-retrospective character. It was carried out at the AKH in Vienna (Austria), where 100 patients with focal liver lesions were included in the study. All patients underwent the routine MR sequences on appliances 1,5 and 3T (Siemens, Germany): T1, T2, HASTE, VIBE, and a DWI with three b values (b 50, b 300 b 600 s /mm2) and ADC map with ROI (regions of interest). The numerical value of ADC map was calculated, where n = 100 liver lesions, by two independent radiologists. The difference of numerical means of ADC between benign and malignant lesions was also calculated. All evaluated lesions went through pathohistological verification. The concurrence in assessing lesions by two independent radiologists (A and B) when it comes to single-shot T2-weighted fast SE and DWI MRI (b 50, b 300 b and 600 s /mm2) was analyzed. The concurrence in assessing lesions of different types of PH by the same radiologist (A) when it comes to single-shot T2-weighted fast SE and DWI sequences was evaluated. For the statistical analysis of the obtained data software package SPSS for Windows (version 19.0, SPSS Inc., Chicago, Illinois, USA) and Microsoft Excel (version 11th Microsoft Corporation, Redmond, WA, USA) were used.

3. RESULTS

Gender structure of the respondents in our study was balanced: 52% of men develop compared to 48% of women, with no statistically significant difference (χ2 = 0.182, p = 0.670). The youngest patient was 19 and the oldest 82 years. Kendall’s tau-b coefficient of concordance showed a statistically significant correlation (p<0.0005) between MRI DWI findings and PH findings of hepatic lesions. PH finding confirmed MRI DWI diagnosis by: hemangioma in 11/12 (92%), by FNH (focal nodular hyperplasia) in 6/10 (60%), in patients with metastatic colorectal cancer (CRC) in 1/1 (100%), the cholangiocellular carcinoma (CCC) in 12/12 (100%) and hepatocellular carcinoma (HCC) in 20/22 (91%) patients (Figure 1). On the basis of matching the PH finding statistically we get DWI accuracy of 96.8% for the assessment of liver lesions. Single-shot T2-weighted fast SE and DWI MRI (b 50, b 300 b 600 s / mm2) were compared by two independent radiologists (A and B) in the assessment of liver lesions in which the Kappa coefficient (Measure of Agreement Kappa = 0.864) showed a statistically significant approval (p <0.0005). But comparing a single-shot T2-weighted fast SE and DWI by one radiologist (A) in the assessment of liver lesions Kendall’s tau-b coefficient of agreement (matching) did not show statistically significant matching (b = 0.119, p = 0.437). This is manifests in favor of detection by DWI, which detected more liver lesions, of total n = 100 liver lesions n = 18 were not detected on T2 w, which were confirmed by PH. From a total of n = 18 missed hepatic lesions that were not detected in T2 sequences, DWI detected n = 17 (94.4%). From a total of n = 82 detected focal liver lesions on T2w number, n = 81 (96.8%) was detected on DWI. The largest number of focal lesions 8/18 (44%) that were not detected on the T2w sequences, the PH verified as HCC, 4/18 (22%) as FNH, 3/18 (17%) as meta CRC, 2/18 (11%) hemangioma and 1/18 (5%) CCC. (Figure 1)
Figure 1

Frequency of changes that were detected on DVI, but not single-shot T2-weighted fast SE

Frequency of changes that were detected on DVI, but not single-shot T2-weighted fast SE By measuring the ADC value of each lesion individually we got different results between different types of lesions. The average numerical value of ADC in benign hepatic lesions (FNH, Hemangiomas) in our study amounted to 1.88 (1.326 to 2.48) x10-3 mm2 /s, while the value of malignant liver lesions (HCC, CCC, CRCLM) were significantly lower and amounted to 1.15 (1.024 to 1.343) x10-3 mm2 /s (Figure 2). Differences between the mean ADC of benign and malignant lesions showed a statistically significant difference with p <0.0005. In our research, we get cut-off for the ADC value of 1,341x10-3 mm2 /s, which proved to be the optimal parameter for differentiation between benign and malignant lesions.
Figure 2

The difference of ADC average values of benign and malignant lesions of the liver. Average values of ADC for benign lesions amounted to 1.88 (1.326 to 2.48)x10 -3 mm 2 /s. Average values of ADC for malignant lesions amounted to 1.15 (1.024 to 1.343)xx 10-3 mm 2 /s

The difference of ADC average values of benign and malignant lesions of the liver. Average values of ADC for benign lesions amounted to 1.88 (1.326 to 2.48)x10 -3 mm 2 /s. Average values of ADC for malignant lesions amounted to 1.15 (1.024 to 1.343)xx 10-3 mm 2 /s

4. DISCUSSION

Diffusion figures (average image between images obtained with three diffusion gradient coefficient) is displayed for each b value together with ADC folder. Image with high b value determines whether areas of limited diffusion, which appear as high intensity. Visual estimation of DWI images, including those with high b values (greater than 500sec / mm2), can help in distinction between solid and cystic lesions. Both benign and malignant changes can maintain a high signal intensity with increasing b values, which makes characterization only on the basis of diffusion images difficult. Visual assessment of only diffusion image can lead to false positives because most of benign lesions will appear bright on T2 weighted images and partial volume effect of other structures, which occurs in the cellular benign lesions such as focal nodal hyperplasia-FNH, adenoma, abscess. False negative results can occur in the metastatic mucus-producing tumor, which can mimic cystic lesions, necrotic primary or secondary tumor processes, and image artifacts that may obscure the lesion (4). Problems with DWI may arise when benign lesions have a restriction of diffusion, cystic lesions can imitate necrotic malignant lesions. In addition to the visual intensity of the signal being assessed (qualitatively) with ADC maps it is necessary to measure the coefficient of diffusion which expresses an average numerical value for each voxel (quantitative -x10-3 mm2 /s), setting the ROI on the place of pathological changes. Diffusion coefficient is connected with mobility of water molecules, which reflects the characteristics of the tissue. Cysts and hemangiomas have the highest ADC values due to the relatively unrestricted diffusion of water molecules within their content, while HCC, metastases and FNH show the lowest value, primarily because of its high cellularity (Figure 3). Therefore there is no overlapping between the ADC values of cysts and solid lesions. However, more important clinical problem is distinguishing metastases from hemangiomas, as hemangiomas may exhibit atypical contrast retention, similarly to the hypervascular metastasis or may be hyalinized and therefore exhibit decreased signal intensity on T2 sequences. Necrotic metastases may show marked hyperintensity on T2 signal imitating hemangiomas (Figure 4). ADC values of metastases and hemangiomas are significantly different with regard to their properties, but to some extent overlappings are possible. Also some overlap between FNH and adenomas is possible. ADC/DWI MRI of liver lesions has been researched significantly with focus on comparing DWI with different MRI techniques (standard breath-hold T2-weighted, breathhold, respiratory triggered, MnDPDP MR imaging, T2-weighted turbo spinecho sequences, etc.) (5-12). Regardless of the possible overlap between malignant and benign hepatic lesions and the non-uniformity in the cut-off value for normal liver parenchyma, according to the literature, ADC value of liver metastases is in the range of 0,94-2,85x10-3 mm2 /s and the normal liver parenchyma 0,69-2,28x10-3 mm2/s. Each course has its own scan parameters (breath-hold, respiratory triggered, and navigator echo techniques) and different ADC values, and therefore different cut-off (13). Nevertheless, DWI/ADC is of great benefit because the measurement of the coefficient of diffusion–ADC values may represent a valorization factor in monitoring the oncological therapy (14).
Figure 3

Metastatic lesion of CRC: a) ADC:1,1 x10-3 mm2 /s; b) MR DWI black blood-b value=50sec/mm2; c) ADC :FNH in the left lobe of the liver 1,3x x10-3 mm2 /s

In our study, we demonstrated that the ADC map is reliable in distinguishing benign (hemangioma, FNH) from malignant lesions (HCC, CCC, CRC metastases). Based on the obtained average ADC value of benign hepatic lesions of 1.88 (1.326 to 2.48) x10-3 mm2 /s and malignant liver lesions of 1.15 (1.024 to 1.343) x 10-3 mm2 /s statistical testing showed a statistically significant difference (p <0.0005). The obtained cut-off ADC value between benign and malignant lesions is 1,341 x10-3 mm2 /s and DWI accuracy in the overall differentiation of liver lesions of 96.8%. Taouli and Koh on the work of review report the results of various studies in which the value of ADC cut-off ranged from 1:47 × 10 to 1.63 × 10-3 mm2 /s, which can be used for optimal differentiation of benign from malignant lesions (15). Cut-off ADC value that we get from 1,341 x10-3 mm2 /s is slightly lower than the average of the above study, but higher than the one of Cieszanowski et al which was 1.25 × 10-3 mm2 /s (16). Filipe et al. used the cutt- off value of 1,43x10-3 mm2 /s when differentiating benign from malignant lesions and have concluded that the ADC value of malignant lesions is significantly lower compared to benign lesions (17). Testa et al. they obtained the results that showed statistically significant difference between benign and malignant lesions with the cut-off value of 1,2x10-3 mm2 /s, and the accuracy of 71% (18). There are several possible reasons that explain these differences, including the use of different hardware, the lack of standardized protocols for image acquisition (using different b values), different methods for calculating ADC and different population of patients. The growing use and importance of DWI will certainly with future development contribute to uniformity of parameters for image acquisition. Metastatic lesion of CRC: a) ADC:1,1 x10-3 mm2 /s; b) MR DWI black blood-b value=50sec/mm2; c) ADC :FNH in the left lobe of the liver 1,3x x10-3 mm2 /s

5. CONCLUSION

Measuring ADC values with DWI as an additional MRI tool can help in oncological practice by distinguishing normal liver parenchyma from focal lesions, and in differentiating benign from malignant liver lesions, particularly in cases where administration of contrast is not possible.
  18 in total

1.  Comparison and reproducibility of ADC measurements in breathhold, respiratory triggered, and free-breathing diffusion-weighted MR imaging of the liver.

Authors:  Thomas C Kwee; Taro Takahara; Dow-Mu Koh; Rutger A J Nievelstein; Peter R Luijten
Journal:  J Magn Reson Imaging       Date:  2008-11       Impact factor: 4.813

Review 2.  Diffusion-weighted MR imaging of the liver.

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

3.  Diffusion-weighted imaging of the liver: optimizing b value for the detection and characterization of benign and malignant hepatic lesions.

Authors:  Satoshi Goshima; Masayuki Kanematsu; Hiroshi Kondo; Ryujiro Yokoyama; Kimihiro Kajita; Yusuke Tsuge; Haruo Watanabe; Yoshimune Shiratori; Minoru Onozuka; Noriyuki Moriyama
Journal:  J Magn Reson Imaging       Date:  2008-09       Impact factor: 4.813

Review 4.  Diffusion-weighted imaging in tissues: theoretical models.

Authors:  A Szafer; J Zhong; A W Anderson; J C Gore
Journal:  NMR Biomed       Date:  1995 Nov-Dec       Impact factor: 4.044

5.  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

6.  Diffusion-weighted imaging of the liver: usefulness of ADC values in the differential diagnosis of focal lesions and effect of ROI methods on ADC measurements.

Authors:  João Pedro Filipe; Luís Curvo-Semedo; João Casalta-Lopes; Maria Cristina Marques; Filipe Caseiro-Alves
Journal:  MAGMA       Date:  2012-10-06       Impact factor: 2.310

7.  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

8.  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.

Authors:  Sofia Gourtsoyianni; Nickolas Papanikolaou; Spyros Yarmenitis; Thomas Maris; Apostolos Karantanas; Nicholas Gourtsoyiannis
Journal:  Eur Radiol       Date:  2007-11-10       Impact factor: 5.315

9.  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

Review 10.  Diffusion-weighted imaging of the liver: an update.

Authors:  N Bharwani; D M Koh
Journal:  Cancer Imaging       Date:  2013-04-15       Impact factor: 3.909

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Authors:  Marco Gatti; Cesare Maino; Davide Tore; Andrea Carisio; Fatemeh Darvizeh; Eleonora Tricarico; Riccardo Inchingolo; Davide Ippolito; Riccardo Faletti
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2.  DWI - histology: a possible means of determining degree of liver fibrosis?

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Review 3.  Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates.

Authors:  Anuradha Shenoy-Bhangle; Vinit Baliyan; Hamed Kordbacheh; Alexander R Guimaraes; Avinash Kambadakone
Journal:  World J Hepatol       Date:  2017-09-18

Review 4.  Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Authors:  Hongzhen Wu; Yingying Liang; Xinqing Jiang; Xinhua Wei; Yu Liu; Weifeng Liu; Yuan Guo; Wenjie Tang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

5.  Evaluation of the Effect of Patient Preparation Using Castor Oil on ADC Value of Focal Liver Lesion.

Authors:  Kawa Abdulla Mahmood; Rezheen Jamal Rashid; Salah Mohammed Fateh; Naser Abdullah Mohammed
Journal:  Int J Gen Med       Date:  2021-02-16
  5 in total

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