Abstract
The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patients at risk for or diagnosed with hepatocellular carcinoma (HCC). In 2018, the American Association for the Study of Liver Diseases (AASLD) integrated LI-RADS into its clinical practice guidance for the imaging-based diagnosis of HCC. The harmonization between the AASLD and LI-RADS diagnostic imaging criteria required minor modifications to the recently released LI-RADS v2017 guidelines, necessitating a LI-RADS v2018 update. This article provides an overview of the key changes included in LI-RADS v2018 as well as a look at the LI-RADS v2018 diagnostic algorithm and criteria, technical recommendations, and management suggestions. Substantive changes in LI-RADS v2018 are the removal of the requirement for visibility on antecedent surveillance ultrasound for LI-RADS 5 (LR-5) categorization of 10-19 mm observations with nonrim arterial phase hyper-enhancement and nonperipheral “washout”, and adoption of the Organ Procurement and Transplantation Network definition of threshold growth (≥ 50% size increase of a mass in ≤ 6 months). Nomenclatural changes in LI-RADS v2018 are the removal of -us and -g as LR-5 qualifiers.
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Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death world-wide and the most common primary liver malignancy, with nearly 780,000 new cases diagnosed annually [1]. While most cases of HCC occur in Eastern Asia and Northern Africa, the incidence of HCC is rising in many regions of the world, including the United States [2]. The risk factors for HCC are well-established and include cirrhosis, chronic viral hepatitis infection from hepatitis B virus (HBV), alcoholic steatohepatitis, and nonalcoholic steatohepatitis (NASH) [3,4,5]. Patients diagnosed with symptomatic HCC have a dismal prognosis with a median 5-year survival rate of ~10%, however, this substantially improves to ~58% for patients receiving curative therapy with liver resection or liver transplantation [6]. Such improvement underscores the importance of systematic screening and early diagnosis.
Imaging plays a crucial role in the management of patients with known or suspected liver cancer. Multiphasic cross-sectional imaging with contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) allows for confident non-invasive diagnosis of HCC with high specificity, allowing most patients to forego percutaneous biopsy and its associated risks, which include bleeding and tumoral seeding [7]. Given that HCC is most commonly diagnosed by non-invasive means, accurate image interpretation and consistent reporting by radiologists is imperative. HCC imaging and reporting systems address this need by providing a diagnostic algorithm, stringent criteria for HCC diagnosis, and reporting requirements. Such diagnostic systems and structured radiology reporting have been advocated by several societies and have been shown to improve consistency in reporting and overall positive predictive value (PPV) for malignancy diagnosis [8,9,10,11].
The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging. Supported by the American College of Radiology (ACR), it has been developed by a multi-disciplinary team of diagnostic and interventional radiologists, hepatologists, hepatobiliary surgeons, and hepatopathologists in order to reduce interpretation variability and errors, allow for optimal communication between radiologists and referring physicians, and assist in decision-making and follow-up. LI-RADS is intended for use by radiologists, radiologists-in-training, healthcare professionals caring for patients with liver disease, and researchers. LI-RADS version 2018 (LI-RADS v2018) represents the fourth update of this reporting and data system; it was first released in 2011, followed by three updates in 2013, 2014, and 2017 [12,13,14,15]. LI-RADS is analogous to the Breast Imaging Reporting and Data System (BI-RADS) which has been widely implemented in breast imaging guidelines and has been shown to increase inter-observer agreement and heighten the PPV of breast imaging for malignancy diagnosis [16, 17].
LI-RADS v2018 diagnostic algorithm for CT and MRI
The CT/MRI LI-RADS diagnostic algorithm describes a four-step approach to the assessment of liver observations which stand out relative to composite background liver tissue, at multiphasic CT or MRI. It is intended for use only for untreated observations without a histologic diagnosis in patients who are considered at high risk for HCC. The LI-RADS v2018 definition of “high risk for HCC” is detailed in a subsequent section of this article as are elaborations of the LI-RADS categories, major features of HCC, and ancillary features of HCC. Step 1 of the algorithm is the designation of a preliminary LI-RADS category (Fig. 1). Step 2 of the algorithm is the optional application of ancillary features for improved detection, increased confidence, or category adjustment excluding upgrading from LR-4 to LR-5, which is not allowed (Fig. 2). Step 3 is the application of tiebreaking rules in situations of diagnostic uncertainty; if a radiologist is unsure between two categories, the category with the lower certainty should be assigned (Fig. 3). Step 4 is the final check to verify that the assigned category is reasonable and appropriate (Fig. 3).
Changes from LI-RADS v2017
The CT/MRI LI-RADS v2018 algorithm represents a short-term update to the CT/MRI LI-RADS v2017 algorithm. Motivated largely by the goal of aligning HCC diagnostic systems, these modifications facilitated integration of the LI-RADS diagnostic algorithm into the American Association for the Study of Liver Disease (AASLD) 2018 HCC clinical practice guidelines [18].
The following modifications were made to arrive at the v2018 algorithm:
Definition of threshold growth
The definition of threshold growth was revised and simplified. Threshold growth is now defined as size increase of a mass by ≥ 50% in ≤ 6 months (Figs. 4 and 5). Two other definitions of threshold growth used in the prior LI-RADS versions (i.e., a new observations ≥ 10 mm in ≤ 24 months and size increase of a mass by ≥ 100% in > 6 months) are considered subthreshold growth in v2018. Sub-threshold growth is an ancillary feature favoring malignancy in general, though not HCC in particular [19, 20]. The change in threshold growth definition impacts categorization in a subset of observations (Fig. 6).
The “diagonal cell”
The three substantive changes in v2018 all affect observations in the “diagonal cell” (Fig. 7). The “diagonal cell” contains observations with nonrim APHE and exactly one additional major feature (either non-peripheral “washout”, enhancing “capsule” or threshold growth).
The LR-5g category was previously applied to observations 10–19 mm in size with nonrim arterial phase hyper-enhancement (APHE) on CT/MRI in addition to ≥ 50% increase in size in < 6 months, but without “washout” or “capsule”. This category was originally introduced to facilitate translation to OPTN class 5 criteria—specifically OPTN 5A-g [12]. In LI-RADS v2018, 10-19 mm observations with APHE and threshold growth are now simply categorized LR-5, as the threshold growth definition is identical to that of OPTN.
The LR-5us category was previously applied to observations 10–19 mm in size with nonrim APHE, “washout” and visibility at antecedent screening ultrasound, in absence of either threshold growth or a “capsule”. In LI-RADS v2018, the requirement for antecedent visibility on ultrasound has been removed, and a 10–19 mm observation with nonrim APHE and nonperipheral “washout” is categorized LR-5 (Fig. 8). Designations -g and -us were eliminated for simplicity.
As in prior versions, 10–19 mm observations with nonrim APHE and enhancing “capsule” remain LR-4 (Fig. 9).
Overview of LI-RADS v2018
Diagnostic population
LI-RADS is exclusively applied in a population of patients who are at high risk for developing HCC. This high-risk group includes those with cirrhosis, chronic HBV infection even in absence of cirrhosis, or current or previously diagnosed HCC. Assuming any of the three risk factors above are present, the high-risk group also applies to adult candidates for liver transplant surgery and those was are recipients post-transplantation. LI-RADS is not applied in young patients (i.e., under 18-year of age), patients with cirrhosis due to congenital hepatic fibrosis, and patients with cirrhosis due to vascular disorders (e.g., Budd-Chiari syndrome). Large regenerative nodules in patients with congestive hepatopathy can show arterial phase hyper-enhancement which can mimic HCC [21]. Stringently defining the population in which LI-RADS is applicable ensures high specificity of LI-RADS categories for the diagnosis of HCC.
LI-RADS v2018 categories
LI-RADS v2018, similar to prior versions, assigns a diagnostic category for each observation ranging from LR-1 to LR-5 reflecting the relative probability of an observation being a benign entity or an HCC. LI-RADS also recognizes three other categories (LR-NC, LR-TIV, and LR-M), with specific criteria for each.
LR-NC (LR-Noncategorizable) is designated for observations that cannot be categorized due to technical limitations, preventing the identification of major features either due to image quality degradation or the absence of necessary imaging phases. For example, an observation may be clearly identified on portal venous phase (PVP) imaging, however the arterial phase may be irreparably degraded by motion artifact, preventing a radiologist from narrowing down the range of possible categories from likely benign (LR-2) to more likely to be malignant (LR-4 or LR-5). In this scenario LR-NC would be the most appropriate designation. LR-NC should not be assigned to an observation when the categorization is simply challenging due to atypical imaging features [19].
LR-1 through 5 categories each carry an estimated probability of being benignity, malignancy, or HCC specifically as indicated below [19, 22].
LR-1 (Definitely benign) category is assigned for observations for which there is 100% certainty of benignity. LR-2 (Probably benign) category is assigned for observations that have high but not 100% certainty of being benign. LR-3 (Intermediate probability of malignancy) category is assigned for observations with average probability of malignancy. LR-4 (Probable HCC) category implies high but not 100% probability of HCC and LR-5 (Definite HCC) category confers near 100% certainty of HCC. Based on recent meta-analysis, the percentages of HCC is 0% in LR-1, 13% in LR-2, 38% in LR-3, 74% in LR-4, and 94% in LR-5 [23], although the percentages for the lower categories may be inflated by selection bias for biopsied lesions.
LR-TIV (Tumor in vein) category is assigned for observations that are definitely malignant with unequivocal enhancing soft tissue in vein. This category was introduced in v2017, replacing the LR-5V category in older versions of LI-RADS, in recognition that non-HCC malignancies (e.g., cholangiocarcinoma) can occasionally present with macrovascular invasion. The LR-TIV designation does not require the visualization of a parenchymal mass [19, 22]. Several imaging features that suggest the presence of a tumor in vein have been described (Figs. 10, 11, 12); these do not allow the diagnosis of tumor in vein but should prompt the radiologist to scrutinize the vein for enhancing soft tissue.
LR-M (Probably or definitely malignant, not HCC specific) category is assigned for observations that have a high probability of malignancy, with a substantial possibility of nonhepatocellular origin. Based on emerging data, 93% of LR-M observations are malignant, and 36% are HCC [23]. Formal LR-M inclusion criteria were introduced in v2017 and retained in v2018 (Figs. 13, 14, 15) [24]. The LR-M category allows LI-RADS to maintain the specificity of the LR-5 category for HCC, without losing the sensitivity for detecting other hepatic malignancies [19].
Technical recommendations for CT and MRI studies
LI-RADS provides recommendations for proper CT/MRI imaging techniques and use of contrast agents [25]. However, it does not recommend any specific modality or contrast agent. The choice of modality and contrast agent should be adjusted to each patient according to the discretion of the radiologist. All LI-RADS recommendations for CT and MRI are consistent with the OPTN guidelines and policies.
LI-RADS recommends using a multidetector, multiphasic CT (≥ 8 detector rows) to obtain images with adequate quality to characterize observations. Three phases are required: arterial phase (AP), portal venous phase (PVP), and delayed phase (DP). On the arterial phase images, the hepatic arteries are enhanced, while the hepatic veins exhibit no enhancement. The arterial phase is divided into early and late arterial phase depending on the enhancement of the portal vein [26]. To improve sensitivity, the late arterial phase is strongly preferred since HCC typically demonstrates more enhancement in this phase compared to the early arterial phase. Moreover, some HCCs show hyper-enhancement only during the late arterial phase [27]. Pre-contrast imaging is suggested but not required in treatment-naïve patients. Pre-contrast imaging is required for patients with previous loco-regional treatment [25, 28, 29].
For MRI, LI-RADS recommends utilizing a 1.5T or 3T field strength and a torso phased-array coil. MRI may be performed either with gadolinium-based extracellular contrast agents (ECA) or hepatobiliary agents (gadobenate dimeglumine or gadoxetate disodium). Required MR sequences include unenhanced T1-weighted sequences with in-phase and out-of-phase imaging, a T2-weighted sequence with fat suppression, and multiphasic post-contrast fat saturated T1 weighted imaging. Diffusion-weighted imaging (DWI) and subtraction imaging are considered optional. Specific recommendations exist for MRI contrast agents. Pre-contrast, arterial, and portal venous phases are required for all contrast agents. With ECA or gadobenate, a delayed phase acquired 2–5 min after contrast injection is also required. When using gadoxetate disodium, the phase performed 2–5 min after injection is called transitional phase (TP). During TP, the hepatic vessels and parenchyma are similar in intensity. An additional T1-weighted post-contrast hepatobiliary phase (HBP) is acquired when using hepatobiliary agents. For gadobenate, the HBP is 1–3 h after injection and is optional (Table. 1). For gadoxetate, this phase occurs about 20 minutes after injection and is required. During the HBP, the hepatic parenchyma exhibits higher signal intensity than the hepatic vasculature [30]. Contrast is also seen in the biliary tree during the HBP.
Multiplanar reformations and acquisitions are suggested but not required for use with both CT and MRI, respectively.
Major features for HCC
Definitions of major imaging features favoring HCC on CT and MRI remain unchanged in LI-RADS v2018 version, with the exception of threshold growth, whose definition has been simplified as described above. The major features are: (1) Non-rim arterial phase hyper-enhancement (APHE); (2) non-peripheral “washout”; (3) enhancing “capsule”; (4) size; and (5) threshold growth [27, 31].
Non-rim arterial phase hyper-enhancement (APHE) is described as enhancement greater than the background liver parenchyma during the arterial phase of imaging (Fig. 16). This feature is best assessed in the late arterial phase of liver enhancement. Presence of nonrim APHE is mandatory for LR-5 categorization.
Non-peripheral washout appearance (“washout”) refers to a temporal reduction in enhancement compared to background liver parenchyma during portal venous or delayed phase of imaging if using extracellular agents (Fig. 16). When using gadoxetate disodium, assessment of “washout” is confined to the portal venous phase; the feature does not apply to and should not be characterized in the transitional or hepatobiliary phases [31].
Another major feature of HCC is enhancing “capsule”, which is defined as a smooth distinctive rim either partially or completely surrounding an observation that is thicker or more conspicuous than fibrotic tissue surrounding other cirrhotic nodules (Fig. 16). “Capsule” may be observed during the portal venous, delayed, or transitional phase of imaging following administration of either extracellular or hepatobiliary contrast agents.
Size refers to the largest outer-edge-to-outer-edge dimension of an observation. Size should be measured on the image with greatest observation conspicuity and in which the margins of an observation are best delineated. When possible, size should be measured in a phase other than the arterial phase to avoid inclusion of perilesional enhancement that may cause size over-estimation [31]. Likewise, size should not be measured on diffusion-weighted images to avoid errors from anatomic distortion.
Threshold growth is the final major feature of HCC (Fig. 5). As described above, the definition of threshold growth has been simplified in LI-RADS v2018 to include only a size increase of a mass by ≥ 50% in ≤ 6 months. Also, the 5 mm minimal size increase required in prior LI-RADS versions has been removed. This simpler definition of threshold growth is now in alignment with AASLD and OPTN [32, 33]. Evaluation of threshold growth should be performed on the same post-contrast phase, imaging sequence, and imaging plane as the previous examination.
LR-M features
Definitions of LR-M features remain unchanged in LI-RADS v2018. These features are sufficient for categorization of an observation as LR-M when present in any combination. The features include targetoid patterns of enhancement, including rim APHE, peripheral “washout”, and delayed central enhancement (Fig. 14) [24]. Additional LR-M features are targetoid appearance on diffusion-weighted imaging, TP, and/or HBP [24]. Non-targetoid LR-M features include marked diffusion restriction (Fig. 15), infiltrative appearance, and necrosis or severe ischemia. A final LR-M feature is an imaging appearance suggestive of non-HCC malignancy as determined by the radiologist, such as a new mass in the setting of known or suspected extrahepatic malignancy, or presence of biliary ductal dilation out of proportion to mass along with vascular encasement and/or capsular retraction. When LR-M features are present, the observation should be categorized LR-M regardless of other major or ancillary features suggesting HCC. The intention of the LR-M category is to maintain sensitivity for diagnosis of malignancy, while preserving specificity of LR-5 for HCC diagnosis.
Ancillary features (AFs)
AFs are divided into three subsets: those that favor malignancy in general (Table 2); those that favor HCC in particular (Table 3); and those that favor benignity (Table 4) [20]. AFs may be used to adjust a LI-RADS category up or down by 1 category. AFs allow for improved detection and increased confidence in diagnosis [20]. To reduce the potential complexity of LI-RADS, the application of ancillary features remains optional at the radiologist’s discretion. When ≥ 1 AF favoring malignancy is/are present (Figs. 17, 18, 19), the category should be upgraded by 1 category only, up to LR-4. When ≥ 1 AF favoring benignity is/are present, the category should be downgraded by 1 category only. When conflicting AFs are present (i.e., AFs favoring both malignancy and favoring benignity), the category should not be adjusted. Moreover, AFs cannot be used to upgrade LR-4 to LR-5. This caveat is present in order to maintain specificity of the LR-5 category, and for congruency with OPTN which does not use AFs in diagnosis of definite HCC.
Management based on the CT/MRI LI-RADS v2018
LI-RADS v2018 provides suggested management options for each LI-RADS category. These suggestions are provided in consensus with AASLD. They primarily focus on further diagnostic work-up if needed, such as repeat or alternative diagnostic imaging modalities or multi-disciplinary discussion (MDD) to determine the need for tissue sampling and/or presumptive treatment (Fig. 20). The recommendation for MDD recognizes the importance of the multi-disciplinary team, individual patient co-morbidities and therapeutic options, and risks associated with additional diagnostic work-up. Hence, not only the LI-RADS category, but rather the complete clinical scenario including biochemical results, functional status, eligibility for liver transplantation, and other co-morbidities often dictate the next steps.
Conclusion
LI-RADS version 2018 has been updated to become congruent with AASLD and to help integrate standard radiology reporting to the needs of clinicians and surgeons. These changes, while small in number, are important for radiologists to become familiar with and follow in order to ensure LI-RADS reports are consistent. Continued research in the field of HCC imaging is encouraged in order to help refine future version of LI-RADS.
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The author(s) are military service members. This work was prepared as part of official duties. Title 17 U.S.C. 105 provides that ‘Copyright protection under this title is not available for any work of the United States Government.’
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Elsayes, K.M., Kielar, A.Z., Elmohr, M.M. et al. White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI. Abdom Radiol 43, 2625–2642 (2018). https://doi.org/10.1007/s00261-018-1744-4
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DOI: https://doi.org/10.1007/s00261-018-1744-4