Volume 67, Issue 1 pp. 401-421
Review
Free Access

Imaging for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis

Lewis R. Roberts

Corresponding Author

Lewis R. Roberts

Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN

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Lewis R. Roberts, M.B. Ch.B., Ph.D.

Division of Gastroenterology and Hepatology Mayo Clinic College of Medicine and Science

Rochester, MN

E-mail: [email protected]

Tel: +1-507-284-4823

or

Claude B. Sirlin, M.D.

Liver Imaging Group, Department of Radiology University of California San Diego

San Diego, CA

E-mail: [email protected]

or

M. Hassan Murad, M.D., M.P.H.

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery

Mayo Clinic College of Medicine and Science

Rochester, MN

E-mail: [email protected]

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Claude B. Sirlin

Corresponding Author

Claude B. Sirlin

Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA

ADDRESS CORRESPONDENCE AND REPRINT REQUESTS TO:

Lewis R. Roberts, M.B. Ch.B., Ph.D.

Division of Gastroenterology and Hepatology Mayo Clinic College of Medicine and Science

Rochester, MN

E-mail: [email protected]

Tel: +1-507-284-4823

or

Claude B. Sirlin, M.D.

Liver Imaging Group, Department of Radiology University of California San Diego

San Diego, CA

E-mail: [email protected]

or

M. Hassan Murad, M.D., M.P.H.

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery

Mayo Clinic College of Medicine and Science

Rochester, MN

E-mail: [email protected]

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Feras Zaiem

Feras Zaiem

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN

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Jehad Almasri

Jehad Almasri

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN

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Larry J. Prokop

Larry J. Prokop

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN

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Julie K. Heimbach

Julie K. Heimbach

Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN

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M. Hassan Murad

Corresponding Author

M. Hassan Murad

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN

ADDRESS CORRESPONDENCE AND REPRINT REQUESTS TO:

Lewis R. Roberts, M.B. Ch.B., Ph.D.

Division of Gastroenterology and Hepatology Mayo Clinic College of Medicine and Science

Rochester, MN

E-mail: [email protected]

Tel: +1-507-284-4823

or

Claude B. Sirlin, M.D.

Liver Imaging Group, Department of Radiology University of California San Diego

San Diego, CA

E-mail: [email protected]

or

M. Hassan Murad, M.D., M.P.H.

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery

Mayo Clinic College of Medicine and Science

Rochester, MN

E-mail: [email protected]

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Khaled Mohammed

Khaled Mohammed

Evidence-Based Practice Center, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine and Science, Rochester, MN

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First published: 31 August 2017
Citations: 357

Potential conflict of interest: Dr. Sirlin consults and is on the speakers' bureau for Bayer. He received grants from GE and Siemen's.

Supported by a contract from the American Association for the Study of Liver Diseases (to M.M.).

Abstract

Multiphasic computed tomography (CT) and magnetic resonance imaging (MRI) are both used for noninvasive diagnosis of hepatocellular carcinoma (HCC) in patients with cirrhosis. To determine if there is a relative diagnostic benefit of one over the other, we synthesized evidence regarding the relative performance of CT, extracellular contrast–enhanced MRI, and gadoxetate-enhanced MRI for diagnosis of HCC in patients with cirrhosis. We also assessed whether liver biopsy versus follow-up with the same versus alternative imaging is best for CT-indeterminate or MRI-indeterminate liver nodules in patients with cirrhosis. We searched multiple databases from inception to April 27, 2016, for studies comparing CT with extracellular contrast–enhanced MRI or gadoxetate-enhanced MRI in adults with cirrhosis and suspected HCC. Two reviewers independently selected studies and extracted data. Of 33 included studies, 19 were comprehensive, while 14 reported sensitivity only. For all tumor sizes, the 19 comprehensive comparisons showed significantly higher sensitivity (0.82 versus 0.66) and lower negative likelihood ratio (0.20 versus 0.37) for MRI over CT. The specificities of MRI versus CT (0.91 versus 0.92) and the positive likelihood ratios (8.8 versus 8.1) were not different. All three modalities performed better for HCCs ≥2 cm. Performance was poor for HCCs <1 cm. No studies examined whether adults with cirrhosis and an indeterminate nodule are best evaluated using biopsy, repeated imaging, or alternative imaging. Concerns about publication bias, inconsistent study results, increased risk of bias, and clinical factors precluded support for exclusive use of either gadoxetate-enhanced or extracellular contrast–enhanced MRI over CT. Conclusion: CT, extracellular contrast–enhanced MRI, or gadoxetate-enhanced MRI could not be definitively preferred for HCC diagnosis in patients with cirrhosis; in patients with cirrhosis and an indeterminate mass, there were insufficient data comparing biopsy to repeat cross-sectional imaging or alternative imaging. (Hepatology 2018;67:401-421).

Abbreviations

  • CI
  • confidence interval
  • CT
  • computerized tomography
  • HCC
  • hepatocellular carcinoma
  • MRI
  • magnetic resonance imaging
  • NFS
  • nephrogenic systemic fibrosis
  • Hepatocellular carcinoma (HCC) is unique among malignancies in having tumor characteristics on cross-sectional multiphasic contrast computed tomography (CT) or magnetic resonance imaging (MRI) that allow for a highly accurate diagnosis of HCC without an invasive biopsy.1-4 The ability of cross-sectional imaging studies to reliably detect and diagnose HCCs in the cirrhotic liver rests primarily on characterizing the enhancement of a suspected tumor relative to background liver in the hepatic arterial, portal venous, and subsequent phases.5 The differences in blood flow and extracellular volume between HCC tissues and non-neoplastic cirrhotic liver tissue lead to hallmark imaging characteristics during the multiphasic flow of contrast, including arterial phase hyperenhancement, subsequent washout appearance, and capsule appearance.6, 7 The pathophysiological underpinnings of arterial-phase hyperenhancement, washout appearance, and capsule appearance are complex and reviewed elsewhere.8 Also of fundamental importance is pretest probability: patients with cirrhosis have a high pretest probability of HCC and a low pretest probability of nonmalignant nodules that may resemble HCC at imaging. In such patients, nodules with the hallmark imaging features of HCC can be reliably diagnosed as HCC.9

    While the imaging features distinctive of HCC can be observed both by multiphasic CT and MRI, MRI offers a number of additional imaging sequences that can be helpful in HCC diagnosis, including T2-weighted sequences, diffusion-weighted imaging, and, in combination with the use of a partially extracellular and partially hepatocellular contrast agent such as gadoxetate disodium, the ability to distinguish even relatively small and subtle lesions by hypointensity in the hepatobiliary phase.10-13 MRI has important diagnostic disadvantages, however, including greater technical complexity, higher susceptibility to artifacts, and less consistent image quality. In particular, MRI quality may be compromised in patients with difficulty breath-holding, trouble keeping still, or large-volume ascites. Also, although noncontrast MRI may detect tumor nodules, such sequences rarely provide sufficient specificity to enable noninvasive diagnosis of HCC. Thus, while noncontrast MRI may provide useful information, it does not reliably permit definitive diagnosis and staging of HCC in most patients. For these reasons, the comparative diagnostic performance of multiphasic CT and MRI in real-life practice remains uncertain.

    Another area of controversy is the optimal management of patients in whom CT or MRI detects a nodule with some, but not all, of the hallmark features of HCC. The differential diagnosis for such nodules includes HCC, non-HCC malignancy, and nonmalignant entities. Because imaging does not establish a specific diagnosis in such cases, prior clinical practice guidelines by the American Association for the Study of Liver Diseases recommended biopsy for all liver lesions >1 cm initially detected by surveillance ultrasound and interpreted as indeterminate by diagnostic call-back CT and MRI.9, 13 The evidence supporting this recommendation was not provided, however. Due to the limitations of biopsy2, 14 and the complexities of working up suspected HCC, alternative strategies such as follow-up or alternative imaging may be preferable in individual cases.

    We conducted this systematic review and meta-analysis to synthesize the existing evidence about the comparative performance of multiphasic CT and MRI with extracellular or gadoxetate contrast in the diagnosis of HCC in patients with underlying cirrhosis. While a number of systematic reviews and meta-analyses have examined the performance of CT and/or MRI in the diagnosis of HCC,15-24 relatively few studies have examined these imaging modalities in comparative studies in which CT was directly compared to either extracellular or partially extracellular and partially hepatocellular contrast agent MRI. A number of the publications included studies that were not directly comparative,15, 17-19, 21, 22 and some did not include more recent studies.16, 20 Two studies published since our analyses were performed provide some complementary information and are reviewed in the Discussion.22, 23 Also, we examined the available evidence supporting biopsy or additional imaging for indeterminate lesions in patients with cirrhosis.

    Materials and Methods

    We followed a predefined protocol developed by the HCC clinical practice guideline writing and systematic review committees of the American Association for the Study of Liver Diseases. We reported this systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.25

    ELIGIBILITY CRITERIA

    Two questions were identified by the American Association for the Study of Liver Diseases practice guidelines committee. Table 1 describes detailed inclusion and exclusion criteria for the two questions of interest. For question 1, we included studies that enrolled adults diagnosed with cirrhosis and suspected HCC and compared multiphasic CT versus MRI with and without extracellular contrast or gadoxetate disodium. For question 2, we included studies that enrolled adults with cirrhosis and indeterminate hepatic lesion and compared biopsy, repeated imaging, or alternative imaging for the diagnostic evaluation.

    Table 1. Inclusion and Exclusion Criteria
    Q1 Q2
    Population Adults with cirrhosis and suspected HCC Adults with cirrhosis and an indeterminate nodule after contrast-enhanced CT or MR or CEUS
    Intervention versus comparison Diagnosis and staging of HCC with contrast-enhanced, multiphasic CT versus MR with and without extracellular contrast or gadoxetate disodium Repeat imaging after observation period 2-3 months versus biopsy versus repeat alternative imaging technique
    Outcomes Accuracy of identifying and staging HCC Survival, cost-effectiveness, stage at diagnosis, patient tolerance
    Study design Comparative studies Comparative studies
    Exclusions Noncomparative studies that included either MRI or CT only; reviews, case reports, and studies with fewer than 5 patients Noncomparative studies, reviews, case reports, and studies with fewer than 5 patients
    • Abbreviation: CEUS, contrast-enhanced ultrasonography.

    SEARCH STRATEGY

    A comprehensive search of several databases from each database inception to April 27, 2016, in any language was conducted. The databases included Ovid Medline In-Process & Other Non-Indexed Citations, Ovid MEDLINE, Ovid EMBASE, Ovid Cochrane Central Register of Controlled Trials, and Scopus. The search strategy was designed and conducted by an experienced librarian with input from the primary investigators. Supporting Tables S1 and S2 demonstrate the detailed search strategy for questions 1 and 2, respectively.

    STUDY SELECTION

    Using an online reference management system (DistillerSR; Evidence Partners, Inc.), two reviewers independently screened the titles and abstracts for potential eligibility. Full text versions of the included abstracts were retrieved and screened in duplicate. Disagreements were harmonized by consensus and, if not possible by consensus, through arbitration by a third reviewer.

    DATA EXTRACTION

    We extracted the following variables from each study: study characteristics including primary author, time period of study/year of publication and country of study; patient baseline characteristics including country, age, lesion number, lesion size, alpha-fetoprotein level, Child-Pugh score, and cause of cirrhosis; index and reference test characteristics; outcomes of interest. We extracted true-positive, false-positive, false-negative, and true-negative values of the index tests (MRI versus CT). Data extraction was done in duplicate.

    METHODOLOGICAL QUALITY AND RISK OF BIAS ASSESSMENT

    We used the Quality Assessment of Diagnostic Accuracy Studies 2 tool26 to assess the risk of bias and applicability of diagnostic accuracy studies. We assessed the following domains: patient selection, index test, reference standard, flow, and timing. Quality of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation approach.27

    STATISTICAL ANALYSIS

    We calculated measures of diagnostic test accuracy (sensitivity, specificity, likelihood ratios, and diagnostic odds ratios) using a bivariate regression model, allowing for correlation between sensitivity and specificity. I2 >50% suggests high heterogeneity. Summary receiver operating characteristic curves were also estimated. Statistical analyses were conducted using Stata version 13 (StataCorp, College Station, TX). We calculated an interaction P value to estimate the statistical significance between the accuracy measures of the two index tests (MRI versus CT). A separate analysis of studies that only reported detection rates (without a 2 × 2 diagnostic table) was performed. In this subset of studies we pooled the detection rate with 95% confidence intervals (CIs) using Jeffreys method. We pooled log-transformed event rates with DerSimonian and Laird random-effect models. We assessed publication bias by examining funnel plot asymmetry and Egger's regression test. Subgroup and sensitivity analyses were done based on the cohort enrollment date (<2,000 and ≥2,000), the size of the hepatic lesion (<1 cm, 1-2 cm, and >2 cm), and the type of MRI contrast material used (gadoxetate-enhanced versus extracellular contrast–enhanced).

    Results

    Our search strategy identified 2,256 citations. After screening titles and abstracts, a total of 433 were deemed eligible for full text retrieval. We eventually included 33 studies. Figure 1 demonstrates the study selection process.

    Details are in the caption following the image
    Flow diagram of study selection.

    Q1: WHAT IS THE DIAGNOSTIC ACCURACY OF MULTIPHASIC CT VERSUS MULTIPHASIC MRI IN ADULTS WITH CIRRHOSIS AND SUSPECTED HCC?

    Nineteen studies3, 28-45 reported true-positive, false-positive, false-negative, and true-negative values, while 14 studies5, 46-58 reported only detection rate (sensitivity rate). Table 2 describes the detailed baseline characteristics of the included studies.

    Table 2. Characteristics of the Included Studies
    Reference Study Design/Country CT Imaging Description MRI fDescription Patients (n) Male (n) Age (Years) No. of Lesions Tumor Size (cm)

    AFP Level

    (ng/mL)

    Child-Pugh Score Gold Standard Cause of Cirrhosis
    Chen et al.28 Retrospective/Japan Dynamic contrast-enhanced CT Gadoxetate disodium–enhanced MRI 139 101 68 ± 11 139 0.05-3 NR NR

    Pathology (115)

    Benign imaging features with >1 year follow- up (24)

    NR
    Golfieri et al.30 Prospective/Italy Quadruple-phase MDCT with contrast

    Dynamic 3D MRI performed following

    administration of gadopentetate dimeglumine

    63 53 63.3 123 1-3 NR

    A 46

    B 13

    C 4

    Transplant (10)

    Resection (6)

    Liver (8) biopsy

    2-year follow-up (9)

    HBV = 22,

    HCV = 32

    Alcoholic = 9

    Granito et al.46 Prospective/Italy Quadruple-phase MDCT using a helical CT scanner, contrast-enhanced Gadoxetate disodium–enhanced MRI 33 25 70 (48-84) 48 1.8 (0.1-3) 7 (1.8-375)

    A5 22

    A6 6

    B7 4

    B8 1

    Radiology

    Biopsy

    HCV = 19

    HBV = 6

    Cryptogenic = 4

    NASH = 2

    Alcohol = 1 PBC = 1

    Hassan, et al.32 Retrospective/Kuwait MDCT triphasic imaging with nonionic iodinated contrast agent MRI with contrast (gadodiamide) 61 37 46.5 (19-74) 95 0.52 (0.04-1) NR NR

    Biopsy

    Radiological and clinical follow-up

    NR
    Haradome et al.31 Retrospective/multicenter

    MDCT scanner with 16 detector rows; all

    patients received intravenous nonionic contrast medium

    Gd-EOB-DTPA-enhanced

    MRI

    75 60 54.7 (42-67) 86 1.74 ± 0.6 NR

    A 48

    B 5

    C 1

    Pathologic specimens: surgical

    resection (19) or fine needle biopsy (41)

    HCV (23),

    HBV (14), HCV+HBV (4), alcoholic (10), and cryptogenic (3)

    Hayashida et al.47 Retrospective/Japan

    A multidetector row CT scanner with four detector rows, triple-phase contrast-

    enhanced dynamic CT with nonionic contrast medium

    Dynamic MRI

    with gadolinium chelate

    38 23 72 (41-83) NR <3 NR NR

    Surgical resection (6)

    Percutaneous needle biopsy (11)

    Combination of clinical and radiological criteria (21)

    Ethanol = 3

    HBV = 5

    HCV = 26

    HBV+HCV = 1

    Autoimmune = 2

    Cryptogenic = 1

    Hidaka et al.33 Retrospective/Japan

    A 64-MDCT

    scanner with contrast

    Contrast-enhanced sequences with Gd-EOB-DTPA 11 NR NR 17 <3 9.6 (3.2-506) 9 (6-13) Histopathological analysis

    HBV = 3,

    HCV = 7,

    Others = 1

    Hori et al.48 Japan Helical CT with contrast medium

    MRI with gadopentetate

    dimeglumine (Gd-DTPA)

    50 38 65 (42-81) 125

    <1 = 41

    1-2 = 43

    2-3 = 24

    > = 324

    NR NR Radiological

    HBV = 5,

    HCV = 44,

    non-B, non-C = 1

    Inoue et al.49 Retrospective/Japan MDCT scanning using 64 channels with nonionic contrast material MRI with Gd-EOB-DTPA 66 42 66 (54-84) 86

    2.1

    (0.6-4.0)

    NR

    A 53

    B 13

    C 0

    Pathological diagnosis

    HCV-related chronic hepatitis (16),

    HCV-related cirrhosis (30),

    HBV-related chronic hepatitis (9),

    HBV-related cirrhosis (11)

    Jung et al.50 Prospective/Germany Biphasic contrast-enhanced spiral CT Nonenhanced and Gd-EOB-DTPA-enhanced MRI 40 29 66.4 (36-82) 41 5.5 (1.5-12) NR

    A 14

    B 7

    C 1,

    and unknown = 9

    Pathological diagnosis NR
    Kasai et al.34 Retrospective/Japan Dynamic enhanced CT images with nonionic contrast material Gd-EOB-DTPA MRI 47 35 65.4 ± 9.1 112 NR NR NR

    All available clinical information (including US, CT, MRI findings; laboratory data;

    histopathological findings; and radiologic follow-up examinations)

    NR
    Kawada et al.51 Retrospective/Japan A 64-channel MDCT with a nonionic iodinated contrast agent

    Dynamic MRI with

    Gd-EOB-DTPA

    13 10 67 (51-77) 15 <2 95.3 (2-437)

    A 12

    B 1

    Pathological diagnosis by US-guided biopsy

    HCV = 8,

    HBV = 1,

    Alcoholic = 1,

    non-B, non-C = 3

    Khalili et al.35 Retrospective/Canada 64-detector CT scan with precontrast, arterial phase (20s after trigger), portal venous phase (60s), and delayed (equilibrium) phase (180s)

    MRI with gadobenate

    dimeglumine

    84 53 58 (22-79) 101 1-2 NR NR

    Biopsy

    Growth of

    lesion on CT or MRI on follow-up over 18 months

    Recurrenceor metastasis after treatment

    HBV = 42

    HCV = 28,

    Others = 14

    Leoni et al.36 Italy Helical multidetector quadruple-phase CT with contrast Superparamagnetic iron oxide MR and gadolinium MR 60 52 65.2 ± 10

    1 = 46

    2 = 13

    3 = 1

    1.8 (1-3)

    11

    (2-2,849)

    A 40

    B 18

    C 2

    Biopsy

    HCV = 33

    HBV = 18

    HBV+HCV = 1

    Alchol = 6

    Cryptogenic = 2

    Libbrecht et al.37 Retrospective/Belgium Dynamic helical CT with contrast

    MRI with dimeglumine gadopentetate

    or meglumine

    gadoterate

    49 32 53.4 ± 11.6

    CT = 33

    US = 77

    MRI = 20

    CT = 27.5 ± 10.6

    MRI =

    26.0 ± 11.5

    NR NR Biopsy

    HBV = 9

    HCV = 11

    Cholestatic liver disease = 8

    Alcohol = 12

    Other or combination = 9

    Maiwald et al.38 Prospective/Germany Multiphase-64-slice contrast-enhanced CT 3-Tesla MRI with Gd-EOB-DTPA 50 42 60.6 (29-84) NR NR NR

    A 27

    B 16

    C 7

    Biopsy

    Alcoholic = 26,

    HBV = 2,

    HCV = 3,

    Hemochromatosis = 3,

    Budd-Chiari-syndrome = 1,

    NASH = 1,

    Cryptogenic = 14

    Di Martino et al.29 Prospective/Italy Multiphasic CT using a 64-slice MRI with gadobenate dimeglumine 140 104 66 (23-82) 254

    >2 cm,

    1-2 cm, <1 cm

    NR

    A 71

    B 43

    C 26

    Pathological findings or substantial growth at 12-month

    follow-up

    NR
    Mita et al.52 Retrospective/Japan Helical CT with nonionic contrast medium MRI with Gd-EOB-DTPA 29 13 70.5 ± 7.96 34 <2 cm

    <20 = 21

    <21 = 8

    NR Pathological diagnosis

    HBV = 1,

    HCV = 24,

    Alcohol = 4

    Onishi et al.53 Retrospective/Japan Multiphasic CT performed using 8-channel CT (n = 9) or 64-channel CT (n = 22) with iodine and nonionic contrast medium

    MRI with

    gadoxetate disodium

    31 28 70.2 (52-82) 73

    <1.0 = 28

    1-2 = 32

    >2 = 13

    NR

    A 23

    B 8

    C 1

    Partial surgical resection (12)

    Biopsy (4)

    Liver transplantation (15)

    HBV = 4,

    HCV = 21,

    Alcoholic = 4,

    NASH = 1

    Park et al.54 Retrospective/South Korea A contrast-enhanced multiphasic helical CT, a 16-row MDCT scanner in 6 cases, a 64-row MDCT scanner in 49 cases, and a 128-row MDCT scanner in 12 cases

    MRI with

    gadoxetate disodium

    55 44 55 (28-73) 67 <3 cm NR

    A 53

    B 2

    Pathologically confirmed

    Patients without cirrhosis = 17

    (HBV = 13, HCV = 2,

    Unknown risk factor = 2)

    Patients with cirrhosis = 38

    (HBV = 36, HCV = 1, Alcoholic = 1)

    Pitton et al.55 Cohort/Germany Triphasic contrast-enhanced with a 64-row MDCT MRI with dynamic contrast-gadolinium-DTPA 28 25 67.0 ± 10.8 NR

    MRI = 1.5 (0.5-14)

    CT = 1.2 (0.4-12.9)

    NR 24 / 4 Biopsy

    Ethanol = 13

    HBV = 2

    HCV = 7

    Cryptogenic = 6

    Puig et al.39 Italy MDCT MRI with gadolinium 50 NR NR 83 NR NR NR NR NR
    Rode et al.40 Prospective/France Noncontrast spiral CT MRI with gadolinium 43 30 51 (27-65) 59 1.24 NR NR Pathological

    HBV = 4

    HCV = 19

    Alcoholism = 14

    Biliary disease = 2

    Autoimmune hepatitis = 1

    Wilson disease = 1

    Cryptogenic = 1

    Sangiovanni et al.3 Prospective/Italy A 64-row MDCT with iodinated contrast medium Dynamic MRI with gadolinium 64 47 65 (44-80) 67

    <1 = 2

    1-2 = 55

    >2 = 2

    11 (1-2,156)

    A 63

    B 1

    Fine-needle biopsy NR
    Sano et al.41 Retrospective/Japan

    A 16–detector row

    dynamic contrast material–enhanced CT

    Gadoxetate disodium–enhanced MRI 64 47 67 ± 9.3 108 0.4-2 NR

    A 54

    B 10

    Pathologic diagnosis NR
    Serste et al.42 Case-only, observational study/France

    Multidetector, multiphasic CT before and after contrast

    medium

    Dynamic MRI 74 58

    60

    (38-88)

    56 1-2 8 (1-413) NR Biopsy

    HCV = 33

    HBV = 20

    No cirrhosis = 13

    Sugimoto et al.56 Retrospective/Japan Helical with precontrast and postcontrast with nonionic contrast medium

    Dynamic contrast-enhanced MRI and

    enhanced

    (Gd-EOB-DTPA) MRI

    27 13 71.5 ± 5.99 27 < 2

    Hypovascular HCC = 7.7 ± 5.4

    Hypervascular

    HCC = 53.7 ± 118.9

    NR Biopsy

    HBV = 1,

    HCV = 19,

    Alcohol = 6

    Non-HBV/HCV = 1

    Sun et al.43 South Korea 8-, 16-, and 64-MDCT scanners with no contrast Gadoxetate disodium–enhanced MRI 69 56 55.8 (39-73) 97

    HCC = 1.37 ± 0.41

    Arterial enhancing pseudolesions = 1.09 ± 0.26

    NR NR

    Histopathological confirmation (16)

    Combination of CT, angiographic findings, lipiodol CT, and AFP levels (28)

    HBV = 56

    HCV = 6

    Alcohol abuse = 3

    Unknown = 4

    Toyota et al.57 Retrospective/Japan

    Contrast-enhanced MDCT, a 64-detector

    or a 128-detector CT

    Gd-EOB dual gradient-recalled

    echo (GRE) MRI

    50 32 68.8 (50-89) 57 2.24 (0.6-8.7) NR

    A 49

    B 1

    C 0

    Histopathology

    HCV = 26

    HBV = 18

    NASH = 2

    Alcoholic = 1

    Cryptogenic hepatitis = 3

    Tsurusaki et al.58 Prospective/Japan

    A 64–detector

    row MDCT unit with contrast material

    Gadoxetate disodium–enhanced MRI 54 39 63 (35-84) 83 NR NR

    A 53

    B 1

    Histopathological examination, HBV = 12 HCV = 34 Non-B, non-C = 8
    Ueda et al.44 Retrospective/Japan

    Noncontrast spiral CT, then spiral

    CT with contrast

    Dynamic MRI 512 385 54.6 (29-84) 61 NR NR NR

    Angiographic and follow-up findings

    were used as the gold standard if the lesion was not confirmed histologically

    HBV and/or HCV = 251

    Liver cirrhosis = 186

    PBC = 9

    Alcoholic fibrosis = 66

    Xing et al.45 Prospective/China Triphasic CT with contrast Gadoxetate disodium–enhanced MRI 39 NR NR NR NR NR NR NR NR
    Yamashita et al.5 Japan Helical CT with contrast material Gadolinium-enhanced dynamic or gadopentetate dime- glumine MRI 50 (42 included in the analysis) 28 67 (48-83) NR 1.9 (0.5-3) NR NR Biopsy NR
    • Abbreviations: AFP, alpha-fetoprotein; Gd-EOB-DTPA, gadolinium-ethoxybenzyl-diethylenetriamine penta-acetic acid HBV, hepatitis B virus; HCV, hepatitis C virus; MDCT, multidetector CT; NASH, nonalcoholic steatohepatitis; NR, not reported; PBC, primary biliary cirrhosis; US, ultrasound.

    Methodological Quality of the Included Studies

    The overall risk of bias of the 19 studies (Fig. 2A) that reported all diagnostic accuracy values was low to moderate. Almost 50% of the studies were judged to have low risk of bias in terms of patient selection, index test, reference standard, flow, and timing. The majority of the studies were considered to have a low risk of bias on applicability to clinical practice in terms of reference standard, index test, and patient selection. The risk of bias for the remaining 14 studies that reported detection rate only was considered low to moderate (Fig. 2B). Detailed assessment of the methodological quality of the studies is provided in Table 3.

    Table 3. Risk of Bias Assessment
    Risk of Bias Applicability
    Reference Could the selection of patients have introduced bias? Could the conduct or interpretation of the index test have introduced bias? Could the reference standard, its conduct, or its interpretation have introduced bias? Could the patient flow have introduced bias? Are there concerns that the included patients and setting do not match the review question? Are there concerns that the index test, its conduct, or interpretation differ from the review question? Are there concerns that the target condition as defined by the reference standard does not match the question?
    Chen et al.28 High Low Low Low Low Low low
    Golfieri et al.30 Low Unclear High High Low Low low
    Granito et al.46 Low Low Unclear Unclear Low Low low
    Haradome et al.31 High Low Low Low Low Low unclear
    Hassan et al.32 Unclear Unclear High High High High unclear
    Hayashida et al.47 Low Unclear High Unclear Low Low low
    Hidaka et al.33 High Unclear Low Unclear Low Low low
    Hori et al.48 Low Unclear High High Low Unclear unclear
    Inoue et al.49 High Unclear Low Low Low Low low
    Jung et al.50 High Low Low Low Low Low low
    Kasai et al.34 Low Unclear High High Low Low low
    Kawada et al.51 Unclear Unclear Low Low High Low low
    Khalili et al.35 Low Low Low Low Low Low low
    Leoni et al.36 Low Low Unclear Unclear Low Low low
    Libbrecht et al.37 High Unclear Low Low Low Low low
    Maiwald et al.38 Low Low High High Low Low low
    Di Martino et al.29 Low Unclear Low Low Low Low low
    Mita et al.52 High Unclear Low Low Low Low low
    Onishi et al.53 High Low High High Low Low unclear
    Park et al.54 High Low Low Low Low Low low
    Pitton et al.55 Low Unclear High Unclear Low Low low
    Puig et al.39 Low Low Unclear Unclear Low Low low
    Rode et al.40 Low Unclear Low Low Low Low low
    Sangiovanni et al.3 Low Low Low Low Low Low low
    Sano et al.41 High Low Low Low Low Low low
    Serste et al.42 High Low Low Low Low Low low
    Sugimoto et al.56 High Unclear Low Low Low Low low
    Sun et al.43 Low Low Low Low Low Low low
    Toyota et al.57 High Low Low Low Low Low unclear
    Tsurusaki et al.58 Low High Low Low Low Low low
    Ueda et al.44 High Unclear High High Low Low unclear
    Xing et al.45 Unclear Unclear Unclear Unclear Unclear Unclear unclear
    Yamashita et al.5 Low Unclear Low High Low Low high
    Details are in the caption following the image
    The Quality Assessment of Diagnostic Accuracy Studies 2 results showing methodological quality of the studies included.

    Pooled Analysis of Diagnostic Accuracy

    Nineteen studies3, 28-45 compared the diagnostic accuracy of MRI versus CT in detecting HCC. Compared to CT, MRI with an extracellular agent, or MRI with gadoxetate disodium showed a significantly higher sensitivity (0.82; 95% CI, 0.75-0.87; I2 = 80.74; versus 0.66; 95% CI, 0.60-0.72; I2 = 72.53) and lower negative likelihood ratio (0.20; 95% CI, 0.15-0.28; versus 0.37; 95% CI, 0.30-0.44) in diagnosis of HCC lesions. No significant difference was found for the pooled specificity, positive likelihood ratio, or diagnostic odds ratio. Figures 3 and 4 illustrate sensitivity and specificity forest plots of CT and MRI, respectively. Analysis of the receiver operating characteristic area under the curve (Fig. 5) showed that accuracy of MRI for detection of HCC was 0.91 (95% CI, 0.89-0.93) compared to 0.80 (95% CI, 0.77-0.83) for CT. Sensitivity analysis was done to exclude two cohorts39, 44 that enrolled patients before 2000; no change in the results was found. Table 4 shows the diagnostic accuracy of CT versus MRI for diagnosis of HCC.

    Table 4. Accuracy of Contrast-Enhanced CT Versus MRI for Diagnosis of HCC
    Modality Studies (n)

    Sensitivity (95% CI)

    I2 (%)

    P

    Specificity

    (95% CI)

    I2 (%)

    P

    + Likelihood Ratio

    (95% CI)

    P

    – Likelihood Ratio

    (95% CI)

    P

    Diagnostic Odds Ratio

    (95% CI)

    P
    All studies irrespective of cohort year
    Contrast-enhanced CT 19

    0.66 (0.60-0.72)

    I2 = 72.53

    0.0003

    0.92 (0.84-0.96)

    I2 = 86.74

    0.83 8.1 (4.1-16.2) 0.86 0.37 (0.30-0.44) 0.001 22 (10-50) 0.24
    MRI with and without contrast 19

    0.82 (0.75-0.87)

    I2 = 72.90

    0.91 (0.82-0.95)

    I2 = 89.81

    8.8 (4.6-16.9) 0.20 (0.15-0.28) 43 (20-92)
    All cohorts started in the year 2000 or later
    Contrast-enhanced CT 17

    0.69 (0.63-0.76)

    I2 = 73.9

    0.002

    0.94 (0.87-0.98)

    I2 = 88.93

    0.82 11.9 (5.1-27.7) 0.96 0.32 (0.26-0.40) 0.01 37 (15-90) 0.3
    MRI 17

    0.84 (0.77-0.90)

    I2 = 86.18

    0.93 (0.84-0.97) 12.3 (5.1-29.5) 0.17 (0.11-0.25) 73 (29-181)
    Details are in the caption following the image
    Sensitivity and specificity forest plots of contrast-enhanced CT studies for diagnosis of HCC.
    Details are in the caption following the image
    Sensitivity and specificity forest plots of MRI studies for diagnosis of HCC.
    Details are in the caption following the image
    Summary receiver operating characteristic curves showing performance of CT and MRI for diagnosis of HCC. Abbreviations: AUC, area under the curve; SROC, summary receiver operating characteristic.

    Subgroup Analysis

    Subgroup analysis was done based on the type of MRI contrast material. Eight studies28, 31, 33, 34, 38, 41, 43, 45 evaluated gadoxetate-enhanced MRI versus CT, and 11 studies3, 29, 30, 32, 35-37, 39, 40, 42, 44 evaluated extracellular contrast–enhanced MRI versus CT in detecting HCC. Pooled analysis demonstrated that both gadoxetate-enhanced MRI and extracellular contrast–enhanced MRI provided significantly higher sensitivity and lower negative likelihood ratio than CT. No significant difference was noticed in the pooled specificity, positive likelihood ratio, and diagnostic odds ratio. Figures 6 and 7 illustrate the forest plots of sensitivity and specificity of gadolinium ethoxybenzyl contrast MRI and extracellular contrast only MRI versus CT, respectively.

    Details are in the caption following the image
    Sensitivity and specificity forest plots from the eight studies comparing contrast-enhanced CT versus gadoxetate-enhanced MRI in diagnosis of HCC.
    Details are in the caption following the image
    Sensitivity and specificity forest plots from the 11 studies comparing contrast-enhanced CT versus extracellular contrast–enhanced MRI in diagnosis of HCC.

    Subgroup analysis was done based on the size of the hepatic focal lesion. MRI with an extracellular agent showed a significantly higher sensitivity compared to CT for both hepatic lesions >2 cm (0.88; 95% CI, 0.80-0.93; I2 = 70.5; versus 0.79; 95% CI, 0.70-0.86; I2 = 88.2) and <1 cm (0.69; 95% CI, 0.54-0.81; I2 = 94.6; versus 0.48; 95% CI, 0.34-0.62; I2 = 52). No differences were found in the pooled specificity, negative likelihood ratio, positive likelihood ratio, and diagnostic odds ratio. Also, no differences were identified in pooled performance characteristics between MRI with an extracellular agent and CT for 1-2 cm HCCs or between MRI with gadoxetate and CT for <2 cm HCCs. Table 5 presents subgroup analysis of the diagnostic accuracy of MRI versus CT for the detection of HCC. The sensitivity of contrast-enhanced CT versus gadoxetate-enhanced MRI was 0.73 versus 0.87, with a P value of 0.02, while the sensitivity of contrast-enhanced CT versus extracellular contrast MRI was 0.61 versus 0.75, with a P value of 0.006. The negative likelihood ratio for contrast-enhanced CT versus gadoxetate-enhanced MRI was 0.28 versus 0.13, with a P value of 0.01, while the sensitivity of contrast-enhanced CT versus extracellular contrast MRI was 0.45 versus 0.29, with a P value of 0.002.

    Table 5. Accuracy of Contrast-Enhanced CT Versus MRI in Diagnosis of HCC (Subgroup Analysis)
    Variable Modality Studies (n)

    Sensitivity (95% CI)

    I2 (%)

    P

    Specificity

    (95% CI)

    I2 (%)

    P

    + Likelihood Ratio

    (95% CI)

    P

    – Likelihood Ratio

    (95% CI)

    P

    Diagnostic Odds Ratio

    (95% CI)

    P
    Subgroup analysis based on type of MRI contrast material
    Gadoxetate contrast only MRI Contrast-enhanced CT 8

    0.73 (0.64-0.81)

    I2 = 76.35

    0.02

    0.96 (0.90-0.98)

    I2 = 80.31

    0.47 18.0 (7.2-45.4) 0.77 0.28 (0.20-0.38) 0.01 65 (23-179) 0.41
    Gadoxetate MRI 8

    0.87 (0.79-0.93)

    I2 = 78.12

    0.94 (0.90-0.97)

    I2 = 60.07

    15.3 (8.3-28.3) 0.13 (0.08-0.22) 115 (47-278)
    Extracellular contrast only MRI Contrast-enhanced CT 11

    0.61 (0.54-0.67)

    I2 = 57.77

    0.006

    0.87 (0.73-0.94)

    I2 = 84.84

    0.91 4.5 (2.2-9.3) 0.73 0.45 (0.38-0.54) 0.002 10 (4-23) 0.31
    Extracellular contrast MRI 11

    0.75 (0.67-0.82)

    I2 = 73.67

    0.86 (0.68-0.95)

    I2 = 90.04

    5.5 (2.3-13.1) 0.29 (0.23-0.36) 19 (8-45)
    Subgroup analysis based on size of hepatic lesion
    1-2 cm Contrast CT 6

    0.64 (0.58-0.70)

    I2 = 61.79

    0.15

    0.88 (0.82-0.92)

    I2 = 90.89

    0.78 6.2 (1.83-20.86) 0.89 0.45 (0.39-0.54) 0.47 13 (4.8-39.6) 0.78
    Extracellular MRI 6

    0.70 (0.64-0.75)

    I2 = 80.4

    0.87 (0.81-0.91)

    I2 = 92.1

    5.5 (1.6-18.3) 0.39 (0.27-0.55) 17 (5.1-62.4)
    >2 cm Contrast CT 3

    0.79 (0.70-0.86)

    I2 = 88.2

    0.09

    0.9 (0.76 - 0.97)

    I2 = 0

    0.71

    6.46 (2.72-15.32)

    I2 = 0

    0.99

    0.26 (0.07-0.95)

    I2 = 88.8

    0.5

    25.79 (2.8-237.96)

    I2 = 65.1

    0.47
    Extracellular MRI 3

    0.88 (0.80-0.93)

    I2 = 70.5

    0.87 (0.73-0.96)

    I2 = 0

    6.48 (2.98-14.07)

    I2 = 0

    0.15 (0.05-0.5)

    I2 = 78.3

    64.66 (19.13-218.55)

    I2 = 0

    <2 cm Contrast CT 2

    0.68 (0.55-0.79)

    I2 = 23.2

    0.31

    0.98 (0.90-1)

    I2 = 13.3

    0.9

    21.50 (4.32-106.9)

    I2 = 0

    0.9

    0.35 (0.23-0.55)

    I2 = 29.7

    0.3

    57.46 (9.89-333.97)

    I2 = 0

    0.73
    Gadoxetate MRI 2

    0.76 (0.67-0.84)

    I2 = 0

    0.96 (0.87-0.99)

    I2 = 0

    20.39 (5.2-80.01)

    I2 = 0

    0.25 (0.16-0.40)

    I2 = 0

    86.5 (17.91-417.99)

    I2 = 0

    <1 cm Contrast CT 2

    0.48 (0.34-0.62)

    I2 = 52

    0.049

    0.69 (0.51-0.83)

    I2 = 0

    0.08

    1.54 (0.88-2.70)

    I2 = 0

    0.55

    0.77 (0.55-1.08

    I2 = 0

    0.72

    2.05 (0.84-5.04)

    I2 = 0

    0.8
    Extracellular MRI 2

    0.69 (0.54-0.81)

    I2 = 94.6

    0.46 (0.29-0.63)

    I2 = 84.3

    1.27 (0.96-1.68)

    I2 = 0

    0.63 (0.22-1.77)

    I2 = 61.3

    2.3 (0.80-6.55)

    I2 = 0

    Combination of <1 cm + <2 cm Contrast CT 4

    0.58 (0.44-0.70)

    I2 = 61.6

    0.2

    0.91 (0.60-0.99)

    I2 = 81.5

    0.7 6.6 (1-43.6) 0.7 0.47 (0.30-0.72) 0.37 14 (1-137) 0.9
    MRI 4

    0.74 (0.50-0.89)

    I2 = 86.28

    0.83 (0.43-0.97)

    I2 = 92

    4.4 (1-20.5) 0.31 (0.14-0.69) 1 4 (2-104)

    Analysis of Studies That Reported Detection Rate Only

    Fourteen studies5, 46-58 compared MRI versus CT and reported only detection/sensitivity rate. Pooled analysis (Fig. 8) showed that detection/sensitivity rate and heterogeneity of CT, extracellular contrast–enhanced MRI, and gadoxetate-enhanced MRI were 0.70 (95% CI, 0.63-0.77; I2 = 80.5%; P < 0.001; 0.79; 95% CI, 0.67-0.93; I2 = 93.3%; P < 0.001; and 0.86; 95% CI, 0.81-0.92; I2 = 48.9%; P = 0.057, respectively). Stratified analyses based on the size of hepatic lesions and the degree of HCC differentiation are shown in Supporting Figs. S9-S13.

    Details are in the caption following the image
    Sensitivity/detection rate of contrast-enhanced CT, gadoxetate-enhanced MRI, and extracellular contrast–enhanced MRI in detection of HCC from the 14 studies reporting only sensitivity/detection rates.

    Publication Bias

    Visual inspection of the funnel plot suggests possible publication bias (Supporting Fig. S14), which is consistent with the results of Egger's regression test (P = 0.04).

    Quality of Evidence

    The quality of evidence (i.e., certainty in the estimates) is considered low to moderate, downgraded due to the methodological limitations of the included studies and possible publication bias.

    Q2: ADULTS WITH CIRRHOSIS AND AN INDETERMINATE HEPATIC NODULE UNDERGO A BIOPSY, REPEATED IMAGING, OR ALTERNATIVE IMAGING FOR THE DIAGNOSTIC EVALUATION

    No studies were found eligible to answer this population, intervention, comparison, and outcomes question.

    Discussion

    MAIN FINDINGS

    We identified 33 studies in this systematic review which evaluated the performance of multiphasic cross-sectional contrast CT in comparison to contrast MRI performed with extracellular contrast agent or with the partially extracellular/partially hepatocellular agent gadoxetate. Nineteen of the studies assessed all parameters for determining the diagnostic accuracy of the tests, while 14 reported only the detection rate or sensitivity of the tests. Pooled analysis of the 19 studies that compared the diagnostic accuracy of MRI to CT showed a significantly higher sensitivity (0.82 versus 0.66) as well as a significantly lower negative likelihood ratio (0.20 versus 0.37) for MRI over CT. However, the specificity was 0.91 for MRI versus 0.92 for CT, and the positive likelihood ratios of 8.8 for MRI versus 8.1 for CT were not different (Table 4). Overall, the summary receiver operating characteristic curves showed a higher area under the curve of 0.91 for MRI versus 0.80 for CT. The results were similar when considering only the 17 studies started in the year 2000 or later (Table 4).

    In subgroup analyses by type of MRI contrast material, similar observations were made with an absolute 14% increase in sensitivity for gadoxetate-enhanced MRI and for extracellular contrast–enhanced MRI over CT (Table 5). There was an unexplained better performance of cross-sectional imaging overall in the studies comparing CT to gadolinium ethoxybenzyl contrast, potentially suggestive of an unknown systematic bias in these studies.

    In subgroup analyses by lesion size, MRI showed higher per-lesion sensitivity for <1 cm HCCs and for >2 cm HCCs but not for 1-2 cm HCCs or for <2 cm HCCs. Moreover, although the sensitivity of MRI for <1 cm HCCs was higher compared to CT (0.69 versus 0.49), specificity at a trend level was lower (0.46 versus 0.69).

    Our results are similar to those of recent systematic reviews and meta-analyses, which found that multiphasic MRI is more sensitive than CT, while maintaining similar specificity.18-23 The one meta-analysis published since our analysis was performed included studies in which there was no direct comparison between CT and MRI and is therefore complementary to ours.23 The major distinguishing feature of this study was the inclusion of only those studies that directly compared CT with MRI, thus reducing potentially substantial biases in studies without direct performance comparisons. In particular, the reported accuracy of imaging for HCC diagnosis depends on multiple factors that may vary across studies, including population characteristics (e.g., severity of cirrhosis, degree of portal hypertension, and frequency of obesity) and applied reference standard (e.g., follow-up imaging, biopsy, hepatectomy pathology). Restricting our analysis to articles reporting within-study performance helps mitigate the confounding effects of these variables. Other distinguishing features of our study compared to some meta-analyses15-17, 20, 21, 23 were the inclusion of CT, extracellular agent MRI, and gadoxetate-MRI and the subanalyses by contrast material and lesion size.

    STRENGTHS AND LIMITATIONS

    While multiphasic MRI appears to be marginally more sensitive than CT in the pooled analysis of comparative studies, examination of the data suggested possible publication bias, and the quality of the evidence was considered to be low to moderate, with particular concerns including the methodological limitations of the studies and inconsistencies across studies. Consequently, the differences in pooled diagnostic performance are considered insufficient to definitively recommend MRI over CT. Key factors driving this conclusion include the overall low quality of the evidence, practical concerns about generalizability to nonacademic settings, and recognition that multiple factors beyond diagnostic accuracy inform the optimal selection of imaging modalities in individual patients.

    Compared to multiphasic CT, multiphasic MRI has the advantages of providing greater soft tissue contrast, more detailed evaluation of nodule and background liver tissue characteristics, and absence of exposure to ionizing radiation. However, MRI also has important disadvantages, including greater cost, higher technical complexity, longer scan times, increased tendency to artifact, and less consistent image quality due to patient factors such as difficulty with breath-holding, difficulty holding still, or high-volume ascites. MRI also has a larger variety of contraindications, and—particularly outside the United States—substantially less availability, leading to longer wait times for imaging.

    In contrast, CT is more readily available and faster and, due to more wide open scanner bores, less likely to provoke claustrophobia but has the shortcoming of exposing patients to radiation. Both CT and MRI require intravenous access and contrast agents, the use of which may be problematic in patients with acute kidney injury or chronic renal failure.

    The choice between CT and MRI also depends on patient safety preferences as both modalities are associated with potential downstream adverse health consequences including the incompletely understood long-term effects of exposure to ionizing radiation (CT) and gadolinium deposition (MRI). Because those risks are difficult to quantify and predict, individual patient preferences should be considered. Additionally, MRI with gadolinium-based agents may be preferable in patients with mild to moderate chronic kidney disease due to the reduced risk of contrast-induced nephrotoxicity, while patients with end-stage kidney disease on dialysis should probably undergo CT with iodinated agents to prevent the rare development of nephrogenic systemic fibrosis (NSF). Contrast-enhanced imaging should be rescheduled for patients with acute kidney injury if possible. In regard to the risk of NSF from use of MRI contrast agents in patients with chronic renal failure, while there have been some publications suggesting that newer MRI contrast agents may be associated with increased risk of NSF, there is insufficient evidence from well-controlled studies to address this question. A prospective, multicenter, nonrandomized phase 4 study of gadoxetate disodium including patients with moderate (n = 193) and severe (n = 85) renal impairment did not raise any clinically significant safety concern, and no NSF cases were observed.

    CLINICAL AND RESEARCH IMPLICATIONS

    This systematic review confirms the utility of cross-sectional multiphasic imaging for noninvasive diagnosis of HCCs >2 cm in size but also shows that performance of both imaging modalities begins to degrade substantially below a lesion size of 2 cm and that both modalities have only modest accuracy below a lesion size of 1 cm. Based on the limitations of the available evidence, no definitive recommendation can be made for systematic use of gadoxetate-enhanced MRI or extracellular contrast–enhanced MRI over CT. However, numerous other factors may guide the choice between modalities, but these were not assessed by our meta-analysis due to lack of reporting on the relevant variables. A complete discussion is beyond the scope of this article. A few common factors are described below:
    1. Patients with ascites: Ascites can introduce severe artifacts on MRI, especially at 3 tesla. Such patients may be better off with CT. If MRI is pursued, 1.5T scanning should be considered.
    2. Poor breath-holders: Poor breath-holders may be better off with CT for the same reason. Robust free-breathing sequences are under development and someday may eliminate this problem, but such sequences are not yet widely available
    3. Liver decompensation and/or severe iron overload: Gadoxetate disodium uptake by the liver tends to be reduced in patients with decompensated liver disease. In patients with severe iron overload, the uptake may be preserved, but the ability of the agent to enhance the liver and characterize lesions may be compromised. In such patients, extracellular contrast agent MRI or CT may be preferable.
    4. Contrast agent contraindications: CT and MRI contrast agents may be contraindicated in some patients due to safety concerns, while other patients may refuse contrast agents or have inadequate intravenous access. In such patients, noncontrast MRI may be best. Contrast-enhanced ultrasound is another option in patients in whom CT or MRI is contraindicated for safety considerations; but this modality has only recently been approved in the United States, and the requisite expertise for its application is not yet widespread.
    Finally the choice may depend on the preferred sensitivity/specificity trade-off:
    1. Gadoxetate-MRI is more sensitive for <2 cm HCCs than CT or extracellular contrast agent MRI. Thus, gadoxetate-MRI may be the preferred modality in clinical practice paradigms (such as in Asia) that emphasize aggressive locoregional treatment or excision of small HCC lesions.
    2. Extracellular contrast agent MRI and CT are marginally more specific for <2 cm HCCs than gadoxetate-MRI. Thus, the former two modalities may be preferred in clinical practice paradigms (such as in the United States) that emphasize liver transplantation for treating early-stage HCC without requiring biopsy confirmation.

    The results of this systematic review highlight the need for rigorously designed and executed comparative studies that can reliably answer the question of the relative performance of multiphasic CT versus extracellular contrast–enhanced or gadoxetate-enhanced MRI and comparison of gadoxetate-enhanced MRI versus extracellular contrast–enhanced MRI. An additional question related to imaging for HCC is whether adults with cirrhosis and an indeterminate hepatic nodule are best served by diagnostic evaluation using biopsy, repeated imaging, or alternative imaging. As there was a complete lack of applicable studies identified by the search strategy, this is a critical area for future research.

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