MRI Interpretation of Liver Nodules in Cirrhosis — A Standardized Approach Using LI-RADS
Claude Sirlin1

1Radiology, UCSD Medical Center, San Diego, CA, United States

Synopsis

This case-based lecture will briefly review basic LI-RADS concepts and then illustrate the use of LI-RADS to categorize liver observations.

Highlights

· Hepatocellular carcinoma (HCC) is the second leading cause of cancer death in the world and most rapidly growing cause of cancer death in the United States

· Magnetic resonance imaging (MRI) plays a critical role in the management of patients with or at risk for HCC. In such patients, MRI can be used to make the non-invasive diagnosis of HCC without confirmatory biopsy. Major treatment decisions such as resection, liver transplantation, use of embolic or ablative therapy, and administration of chemotherapy may be made without tissue sampling.

· The Liver Imaging Reporting And Data System (LI-RADS) is a system of standardized terminology, interpretation, and reporting for imaging examinations of the liver [1].

o It has been developed with the support of the American College of Radiology

o It is the only radiologic system for HCC developed by a radiology organization

o It applies to patients with patients at risk for development of HCC (cirrhosis, chronic hepatitis B viral infection, current or prior HCC)

o It addresses both extracellular and hepatobiliary contrast agents

· LI-RADS categorizes observations from LR-1 to LR-5, reflecting probability of benignity or HCC in at-risk patients. Smaller observations must satisfy stricter criteria to be assigned equivalent categories.

· Observations with features suggestive of non-HCC malignancy are categorized LR-M.

· Observations associated with tumor in vein are categorized LR-5V.

· LR-5 applies to observations with imaging features diagnostic of HCC.

o The imaging criteria have high specificity but modest sensitivity for HCC.

o Imaging features relevant for LR-5 categorization are diameter, arterial phase hyper-enhancement, washout appearance, capsule appearance, and threshold growth.

· Extracellular agents and hepatobiliary agents may be used in LI-RADS categorization.

· Both types of agents have advantages and disadvantages for LI-RADS categorization.

Target audience

Physicians, imaging scientists/engineers, technologists and other health professionals with a developing need for utilizing MRI applications in cancer and personalized care.

Objectives

As a result of the information presented in this case-based presentation, learners will be able to:

· Understand the need for standardized interpretation and reporting of MR imaging examinations done for diagnosis or staging of HCC in patients with cirrhosis or other risk factors for HCC

· Become familiar with and understand key LI-RADS terminology and concepts

· Apply LI-RADS v2014 algorithm to categorize observations in patients with or at risk for HCC

Supplementary material

(See Figure 1)

LI-RADS 2014 Major Features

Untreated observations that are neither definitely nor probably benign and lack features of non-HCC malignancy or tumor in vein may be categorized LR-3, LR-4, or LR-5. Appropriate categorization of such observations depends on the presence of major features. Major features are those that have been shown in prior studies to permit reliable diagnosis of HCC or that have been endorsed by other leading organizations such AASLD or OPTN. Major features include: arterial phase hypo- or iso-enhancement, arterial phase hyper-enhancement, diameter, washout appearance (“washout”), capsule appearance (“capsule”), and threshold growth. Each of these major features is defined in Table 1.

A few key concepts and caveats are emphasized here. The text below is nearly verbatim from ref [2].

Arterial phase hyperenhancement

LI-RADS requires that observations unequivocally enhance more than background liver AND be hyperintense in the arterial phase to meet criteria for arterial phase hyperenhancement. Thus, observations that enhance from hypointense pre-contrast to isointense in the arterial phase do not meet current LI-RADS criteria for arterial phase hyperenhancement.

Peripheral or rim-like arterial phase hyper-enhancement is a feature favoring intrahepatic cholangiocarcinoma (ICC) over HCC. Observations that exhibit rim-like arterial phase hyperenhancement usually should be categorized LR-M rather than LR-3, LR-4, or LR-5.

Washout appearance

Washout appearance should be strictly defined by temporal reduction in enhancement from an earlier to a later phase, not by simple comparison of the signal intensities between the observation and surrounding liver in a single post-arterial phase such as the portal venous or delayed phase. The phases appropriate for assessing washout appearance depend on the gadolinium based contrast agent (GBCA) used.

For gadoxetate disodium, washout appearance should be assessed by comparing the portal venous phase to the arterial phase. After the portal venous phase, the hepatic parenchyma continues to progressively enhance due to uptake of gadoxetate disodium by hepatocytes. Thus, relative hypointensity of an observation after the portal venous phase (e.g., in the transitional phase) may be due to rapid transit of contrast, lack of functional hepatocytes, or a combination of the two. Given this uncertainty, transitional phase hypointensity does not have the same diagnostic implication as washout appearance and so should not be used to categorize an observation LR-5. Similarly, the hepatobiliary phase should not be used to gauge washout appearance.

For gadobenate dimeglumine, washout appearance can be assessed by comparing either the portal venous phase or the delayed phase to the arterial phase. Although gadobenate dimeglumine has mild hepatocellular uptake that permits hepatobiliary imaging at a delay of about 1-3 hours, this uptake has negligible impact on enhancement of liver and liver observations during the dynamic phases after its administration. Thus, these phases can be interpreted in the same fashion as with extracellular agents. As with gadoxetate disodium, the hepatobiliary phase should not be used to gauge washout appearance.

For extracellular GBCAs, washout appearance can be assessed by comparing either the portal venous phase or the delayed phase to the arterial phase, as these agents have negligible hepatocelluar uptake.

Capsule Appearance

Capsule appearance may be difficult to assess when gadoxetate disodium is used. Uptake of gadoxetate disodium by hepatocytes leads to progressive enhancement of background liver parenchyma in the transitional phase, which is speculated to obscure any delayed rim enhancement.

Note that many of the features required for LR-5 categorization are features of progressed HCC (which characteristically is “hypervascular”), not of early HCC (which characteristically is “hypovascular”).

LI-RADS 2014 Diagnostic Algorithm (as shown on ACR Website)

(See Figure 2)

LI-RADS 2014 Adjustment of Categories

(See Figure 3)

LI-RADS 2014 Ancillary Features

Once an observation has been categorized, radiologists at their discretion may apply ancillary features to adjust the category. Ancillary features are imaging features that modify likelihood of HCC. In isolation, these features do not permit reliable categorization of observations and hence are considered ancillary.

(See Figure 4)

LI-RADS 2014 Definite and Probable Benign Entities

(See Table 2)

LI-RADS 2014 List of Imaging Features to help differentiate HCC from ICC

(See Table 3)

*Although diffuse T1 hyper-intensity and hepatobiliary phase T1 hyper-intensity are not typical features of HCC, they do not occur in ICC; thus their presence favors a diagnosis of HCC over ICC.

LI-RADS 2014 Features of tumor in vein

Diagnostic of tumor in vein: enhancing soft tissue in lumen of vein Suggestive but not diagnostic of tumor in vein:

· Occluded vein with any of the following:

· Moderately to markedly expanded lumen

· Ill-defined walls

· Restricted diffusion

· Contiguity with LR-5 observation

· Obscured, partially visualized vein

· Heterogeneous enhancement of vein not attributable to mixing artifact

Imaging features and categorization using gadoxetate disodium versus extracellular agents

Some imaging features unique to or demonstrated to greatest advantage with gadoxetate disodium (e.g., transitional phase hypo-intensity and hepatobiliary phase hypointensity) are ancillary features that may favor malignancy. Due to these features, MRI performed with gadoxetate disodium provides higher per-lesion sensitivity for high-grade dysplastic nodules and early HCCs. Most such nodules are categorized LR-3 or LR-4. Based on theoretical considerations, however, some major features (arterial phase hyperenhancement, washout appearance, capsule appearance) may be more difficult to characterize with gadoxetate disodium than other MR contrast agents, which may make LR-5 categorization more difficult, but this has not been proven in prospectively designed studies.

Acknowledgements

No acknowledgement found.

References

1. American College of Radiology. Liver Imaging Reporting and Data System version 2014. Accessed February 2015, from http://www.acr.org/Quality-Safety/Resources/LIRADS. 2. Shah A, Santillan C, Tang A, Sirlin CB. Cirrhotic liver: What’s that Nodule? -- the LI-RADS approach. JMRI. In press. 3. Santillan CS, Tang A, Cruite I, Shah A, Sirlin CB. Understanding LI-RADS: a primer for practical use. Magn Reson Imaging Clin N Am. 2014 Aug;22(3):337-52. doi: 10.1016/j.mric.2014.04.007. PMID: 25086933 4. Mitchell DG, Bruix J, Sherman M, Sirlin CB. LI-RADS (Liver Imaging Reporting and Data System): Summary, discussion, and consensus of the LI-RADS Management Working Group and future directions. Hepatology. 2014 Jul 12. doi: 10.1002/hep.27304. [Epub ahead of print] PMID: 25041904 5. Cruite I, Tang A, Sirlin CB. Imaging-based diagnostic systems for hepatocellular carcinoma. AJR Am J Roentgenol. 2013 Jul;201(1):41-55. doi: 10.2214/AJR.13.10570. Review. PMID: 23789657 6. Tang A, Cruite I, Sirlin CB. Toward a standardized system for hepatocellular carcinoma diagnosis using computed tomography and MRI. Expert Rev Gastroenterol Hepatol. 2013 Mar;7(3):269-79. doi: 10.1586/egh.13.3. Review. PMID: 23445236

Figures

Figure 1. LI-RADS 2014 Categories

Table 1. LI-RADS 2014 Major Features

Figure 2. LI-RADS 2014 Diagnostic Algorithm (as shown on ACR Website)

Figure 3. LI-RADS 2014 Adjustment of Categories

Figure 4. LI-RADS Ancillary Features

Figure 5. LI-RADS 2014 Tie-Breaking Rules

Table 2. LI-RADS 2014 Definite and Probable Benign Entities

Table 3. LI-RADS 2014 List of Imaging Features to help differentiate HCC from ICC



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)