Skip to content Skip to footer

Multi-Phase Liver CT Protocol: 7 Critical HCC Steps

Master the multi-phase liver CT protocol for HCC: precise arterial timing, washout patterns, dose limits, and AI detection tools for radiology teams.

Multi-Phase Liver CT (HCC Protocol): The Complete Triple-Phase Imaging Guide for Radiographers and Radiologists

⏱ 38–42 min read 📂 Abdominal & Oncologic CT ✔ Medically Reviewed

At a glance: multi-phase liver CT protocol parameters

kVp120
Pitch0.9
Tube current200–320 mA
Rotation time0.5 s
Contrast volume120 mL
Flow rate4.5 mL/s
Saline chaser100 mL
Phase timingArterial +15s, Venous 70s, Delayed 3 min
Key HU signHCC washout vs. liver parenchyma
Primary pitfallMissing the late arterial window

Introduction: why the multi-phase liver CT protocol matters

The multi-phase liver CT protocol — frequently shorthanded as the HCC protocol, triple-phase liver CT, or four-phase hepatic CT — is the single most consequential abdominal imaging study a radiology department performs for patients with chronic liver disease. Hepatocellular carcinoma (HCC) is the most common primary liver malignancy worldwide, and it overwhelmingly develops in a cirrhotic or chronically inflamed liver where the diagnostic window between a curable, early-stage tumor and an unresectable, multifocal disease can be a matter of months. Unlike most oncologic CT protocols, HCC is one of the only cancers in modern medicine that can be diagnosed non-invasively, based on imaging features alone, without histologic confirmation, when the multi-phase liver CT protocol is executed correctly.

That diagnostic privilege comes with an unforgiving technical requirement: the tumor’s defining signature — intense arterial phase hyperenhancement followed by washout on portal venous and delayed imaging — exists within a narrow temporal corridor measured in seconds. Scan even a few seconds too early or too late, and a 1.5 cm HCC nodule that should have lit up against the liver background instead sits quietly, isoattenuating and invisible, deferring diagnosis to the next surveillance interval six months later.

Clinical context

HCC develops almost exclusively against a backdrop of cirrhosis (from viral hepatitis B/C, alcohol-related liver disease, or increasingly metabolic dysfunction-associated steatotic liver disease), and international society guidelines recommend ultrasound-based surveillance every six months in at-risk patients. The multi-phase liver CT protocol is the principal confirmatory and problem-solving study when surveillance ultrasound or serum alpha-fetoprotein flags a suspicious finding, and it underpins liver transplant allocation, staging for locoregional and systemic therapy, and post-treatment response assessment under systems such as LI-RADS and mRECIST.

This article walks radiographers, radiologists, and hospital administrators through every technical and interpretive layer of the protocol: the anatomy and Hounsfield unit (HU) reference ranges that define normal and abnormal liver, the seven-step scanning technique across scanner generations, the contrast injection protocol that makes or breaks lesion conspicuity, the radiation dose reference levels that keep repeat multi-phase scanning safe over years of surveillance, and — critically — the three distinct pitfall categories that affect radiographers at the console, radiologists at the workstation, and the non-radiology physicians who order and act on these scans.

Anatomy & HU reference values for the liver

The liver occupies the right upper quadrant and extends across the midline beneath the diaphragm, divided by Couinaud’s system into eight functionally independent segments based on portal venous and hepatic venous branching rather than surface anatomy. This segmental map is the language radiologists use to communicate lesion location to hepatobiliary surgeons and interventional radiologists planning resection, ablation, or transarterial therapy, and an accurate segmental description is one of the most clinically actionable elements of a liver CT report.

Gross anatomy and vascular inflow

The liver receives a unique dual blood supply that is the entire physiologic basis of multi-phase imaging: approximately 25–30% of hepatic blood flow arrives via the hepatic artery (a branch of the celiac trunk), while the remaining 70–75% arrives via the portal vein, which drains the gastrointestinal tract and spleen. Normal liver parenchyma is therefore predominantly portally perfused and enhances relatively slowly and homogeneously. HCC, by contrast, develops a near-exclusive arterial blood supply through neoangiogenesis as it dedifferentiates from a regenerative or dysplastic nodule into frank malignancy — the pathophysiologic basis for the arterial hyperenhancement / washout pattern that defines its imaging diagnosis.

Key clinical anatomy sub-sections

  • Couinaud segments I–VIII: Segment I (caudate lobe) has independent venous drainage directly into the IVC and is frequently spared in Budd-Chiari syndrome and selectively hypertrophied in cirrhosis.
  • Portal vein and its bifurcation: Critical for detecting bland versus tumor thrombus, which changes staging and treatment eligibility entirely.
  • Hepatic veins and IVC: Patency assessment is mandatory in any cirrhotic liver protocol given the differential with Budd-Chiari syndrome.
  • Biliary tree: Intrahepatic duct dilation raises the differential of cholangiocarcinoma, a key mimic and occasional collision tumor with HCC.
  • Liver capsule and perihepatic space: Capsular retraction and peritoneal nodularity are secondary signs of advanced cirrhosis and peritoneal carcinomatosis respectively.

Full HU reference table

Structure / findingNon-contrast HUArterial phase HUPortal venous HUDelayed (3 min) HU
Normal liver parenchyma50–6570–90110–13090–110
Spleen (reference)40–5590–130 (heterogeneous)110–130 (homogeneous)100–120
Aorta35–45>250120–16090–120
Classic HCC (arterial)40–55120–180+60–90 (washout)50–80 (capsule may enhance)
Hepatic hemangioma35–45Peripheral nodular >90Progressive fill-inNear-isodense to blood pool
FNH45–55110–160 (homogeneous)Isodense to liverIsodense; central scar low
Simple hepatic cyst0–15No enhancementNo enhancementNo enhancement
Pyogenic abscess (rim)20–40 (central)Rim enhancement 60–100Persistent rimPersistent rim
Fatty liver (steatosis)<40 (often <liver-spleen by 10)VariableVariableVariable
Cirrhotic regenerative nodule45–60Isodense to mildly hyperIsodenseIsodense

Two HU thresholds carry outsized clinical weight in this protocol. First, a non-contrast attenuation difference of more than 10 HU below splenic attenuation is a long-standing, simple marker of hepatic steatosis that radiographers should flag at acquisition since it affects windowing and reader expectations. Second, the LI-RADS-defining relative washout threshold requires a lesion to demonstrate visually lower attenuation than surrounding liver on portal venous or delayed phase relative to its own arterial appearance — an internally referenced comparison, not an absolute HU cutoff, which is why side-by-side phase review (not single-phase review) is mandatory.

🫀

Standardize every phase of your liver CT workflow

SATMED Health’s automated injection and reconstruction ecosystem helps departments hit the arterial window consistently, scan after scan.

Explore Liver CT Automation Tools →

Scanning technique: 7 steps to a diagnostic multi-phase liver CT

  1. Patient preparation and positioning. Supine, arms elevated above the head to eliminate streak artifact across the upper abdomen. Confirm fasting status (typically 4–6 hours) to reduce bowel peristalsis and gallbladder contraction artifact, and confirm renal function (eGFR) prior to high-flow-rate contrast administration.
  2. Non-contrast baseline acquisition. A true unenhanced phase establishes baseline parenchymal attenuation (critical for steatosis and post-locoregional-therapy lipiodol or ablation-zone assessment) and detects intrinsically hyperdense findings such as hemorrhage or calcification that could otherwise be misattributed to contrast enhancement.
  3. Bolus-tracking ROI placement. Place the region of interest in the abdominal aorta at the level of the celiac axis or just above the diaphragm. Set the triggering threshold and program a fixed additional delay (commonly an extra 15–18 seconds post-trigger) to capture the late arterial / hepatic arterial dominant phase rather than the early arterial phase used for vascular-only studies.
  4. Late arterial phase acquisition (~ trigger + 15s). This is the single most important acquisition of the entire study for HCC detection. Scan caudocranial or craniocaudal per scanner protocol, full liver coverage with margin to include the entire right and left lobe and any accessory segments.
  5. Portal venous phase acquisition (~70s from injection start). Captures peak parenchymal enhancement and is the primary phase for detecting washout, biliary pathology, and most metastatic disease; also the standard phase for measuring lesion size for response assessment.
  6. Delayed phase acquisition (~3 minutes from injection start). Confirms washout kinetics for lesions that were equivocal on portal venous imaging and reveals the delayed-enhancing fibrous capsule that is a major ancillary feature supporting HCC over benign mimics.
  7. Reconstruction and reformatting. Reconstruct thin sections (typically 1.0–1.5 mm) for multiplanar reformats and 3D vascular mapping when surgical or interventional planning is anticipated; generate standard 3–5 mm sections for primary interpretation and PACS review.

Scanner generation comparison table

Scanner classTypical detector rowsRotation timeCoverage per rotationPractical impact on liver protocol
16-slice MDCT160.5–0.75 s~16–24 mmLonger table travel time risks phase “smearing” across the cranio-caudal liver span; requires careful pitch/timing compensation.
64-slice MDCT640.4–0.5 s~32–40 mmWorkhorse standard for most hospital liver protocols; reliable phase separation with proper bolus tracking.
128–192-slice (incl. dual-source)128–1920.25–0.5 s~57–80 mmWhole-liver coverage in under 3–4 seconds, virtually eliminating intra-phase motion and improving true arterial-phase fidelity.
256–320-slice (incl. wide-volume)256–3200.275–0.5 sUp to 160 mmVolumetric single-rotation liver coverage possible; near-elimination of cranio-caudal timing gradient across the organ.
Photon-counting detector CTN/A (PCD)0.25 sVariable, high pitch capabilitySpectral data acquired natively in every phase, enabling virtual monoenergetic and iodine-map reconstructions without a second acquisition.

Dual-energy and photon-counting protocol table

TechniqueApplication to multi-phase liver CTReported benefit
Virtual monoenergetic imaging (low keV, ~40–55 keV)Reconstructed on arterial phaseIncreases iodine contrast-to-noise ratio, improving conspicuity of small hypervascular HCC.
Iodine map / material decompositionQuantifies lesion iodine uptake independent of HU windowHelps distinguish true arterial enhancement from pseudo-enhancement related to perfusion artifact.
Virtual non-contrast (VNC)Derived from contrast-enhanced acquisitionCan reduce or eliminate the need for a separate true non-contrast phase in select dual-energy protocols, lowering dose.
Photon-counting spectral reconstructionNative multi-energy data in every phaseImproved low-contrast detectability at reduced iodine load, relevant for patients with borderline renal function.

Deep learning reconstruction (DLR)

Deep learning reconstruction algorithms, now available across most major CT platforms, use trained neural networks to suppress image noise more effectively than iterative reconstruction while preserving edge sharpness. For multi-phase liver CT, DLR allows departments to either reduce tube current (and therefore dose) at matched image quality, or maintain dose while improving low-contrast lesion detectability — a meaningful benefit for HCC nodules near or below 1 cm, which is precisely the size range where treatment options are broadest and outcomes are best.

💧

Precision contrast delivery for every phase

SATSyringe and SATLine systems are engineered for the consistent, repeatable high-flow injections that multi-phase liver protocols demand.

See SATSyringe Injection Systems →

Contrast media protocol for HCC characterization

Because HCC’s entire diagnostic signature is contrast-timing dependent, the injection protocol for multi-phase liver CT is among the most rigorously specified in abdominal imaging. A typical protocol uses 120 mL of iodinated contrast media (concentration typically 300–370 mg I/mL, often weight-based) delivered at 4.5 mL/s through an 18–20G peripheral IV, followed by a 100 mL saline chaser at the same flow rate to maximize the contrast bolus and clear the injection line and central veins of residual contrast that could otherwise create streak artifact.

Bolus tracking and phase timing

  • Trigger threshold: Placed in the abdominal aorta, typically triggering at 100–150 HU above baseline.
  • Arterial (late/hepatic arterial dominant) phase: Trigger + approximately 15–18 seconds — this fixed additional delay, rather than triggering directly off the aorta, is what separates the early arterial (vascular mapping) phase from the late arterial phase optimized for HCC enhancement.
  • Portal venous phase: Approximately 70 seconds from the start of injection.
  • Delayed phase: Approximately 3 minutes from the start of injection.

Patient-specific factors that should prompt protocol adjustment include reduced cardiac output (which lengthens contrast transit time and may require a longer fixed delay), hyperdynamic circulation in advanced cirrhosis with portosystemic shunting, and obesity (which may require increased contrast volume or higher iodine concentration to maintain adequate vascular and parenchymal opacification at a fixed flow rate).

Safety check callout

Pre-contrast eGFR review remains standard practice before high-volume, high-flow contrast administration, in line with current ACR and ESUR contrast media guidance. Patients with borderline renal function should be discussed with the radiologist regarding reduced contrast volume, alternative concentration, or pre-hydration, balanced against the diagnostic necessity of confirming or excluding HCC.

Radiation dose: DRLs and optimization strategies

Multi-phase liver CT is inherently a higher-dose study than most abdominal protocols because it requires three to four separate acquisitions through the same anatomy. Patients undergoing HCC surveillance and staging are frequently scanned repeatedly over years, making cumulative dose stewardship a genuine long-term patient-safety priority rather than a one-time consideration.

MetricTypical diagnostic reference level (per phase, adult)
CTDIvol~12–18 mGy per phase
DLP (per phase)~500–750 mGy·cm
DLP (full 3–4 phase study)~1,800–2,800 mGy·cm
Effective dose (full study)~12–22 mSv (using abdominal conversion factor ≈0.015 mSv·mGy⁻¹·cm⁻¹)
SSDE (size-specific dose estimate)Reported per phase, adjusted to patient lateral dimension

Five dose reduction strategies

  1. Tube current modulation (automatic exposure control) adjusts mA in real time to patient cross-sectional attenuation across all three phases, avoiding fixed-mA over-exposure in thinner patients.
  2. Iterative and deep learning reconstruction permits lower-dose acquisition at preserved diagnostic image quality, particularly valuable in patients undergoing serial surveillance scans.
  3. Selective omission of the true non-contrast phase using virtual non-contrast (dual-energy/PCD) reconstructions in eligible patients, removing an entire acquisition from the dose budget.
  4. Organ-based or weight-based kVp selection — lower kVp (e.g., 100 kVp) in smaller patients increases iodine conspicuity per unit dose, since iodine attenuation rises sharply at lower photon energies.
  5. Protocol standardization and peer audit against DRLs at the departmental level, comparing actual CTDIvol/DLP against national or institutional reference levels on a recurring basis to identify outlier acquisitions.

These approaches are aligned with the dose-optimization frameworks of European Commission Radiation Protection 185, the American Association of Physicists in Medicine (AAPM) CT dose protocols, and the International Commission on Radiological Protection (ICRP) system of radiological protection, all of which emphasize optimization rather than arbitrary dose minimization — the goal is the lowest dose consistent with confident HCC detection, not the lowest dose in absolute terms.

📉

Cut cumulative dose without losing diagnostic confidence

Talk to SATMED Health about deep learning reconstruction and dose-tracking integration for your liver oncology imaging pathway.

Request a Dose Optimization Consultation →

Top 10 pathologies detected on multi-phase liver CT

1

Hepatocellular Carcinoma (HCC)

Arterial 120–180+ HU, washout to 60–90 HU

Protocol impact: missing the late arterial window is the single greatest cause of false-negative HCC detection.

2

Hepatic Hemangioma

Peripheral nodular enhancement >90 HU, progressive fill-in

Protocol impact: delayed phase is essential to confirm centripetal fill-in and exclude HCC.

3

Focal Nodular Hyperplasia

Homogeneous arterial 110–160 HU, isodense thereafter

Protocol impact: absence of washout and presence of a central scar differentiate FNH from HCC.

4

Hepatic Adenoma

Arterial hyperenhancement, variable washout

Protocol impact: can mimic HCC closely; clinical context (oral contraceptive use, glycogen storage disease) is essential.

5

Cirrhosis (background)

Nodular contour, heterogeneous parenchyma

Protocol impact: defines the at-risk population in which every protocol decision must optimize HCC detection sensitivity.

6

Portal Vein Thrombosis

Filling defect within portal venous lumen

Protocol impact: arterial-phase enhancement within the thrombus indicates tumor thrombus, changing staging and management.

7

Budd-Chiari Syndrome

Hepatic vein/IVC narrowing or occlusion, caudate hypertrophy

Protocol impact: delayed phase and venous-phase review of hepatic veins is essential; can be misread as diffuse HCC infiltration.

8

Cholangiocarcinoma

Progressive delayed enhancement (opposite of HCC washout)

Protocol impact: the delayed phase, often skipped in non-liver-specific abdominal CT, is what separates this from HCC.

9

Pyogenic Liver Abscess

Rim enhancement, central low attenuation 20–40 HU

Protocol impact: clinical correlation (fever, sepsis) prevents misclassification as a necrotic tumor.

10

Regenerative Nodules

Isodense to mildly hyperdense, no true washout

Protocol impact: distinguishing regenerative/dysplastic nodules from early HCC depends entirely on accurate arterial-phase timing.

🔍

Don’t let timing variability cost you a detection

See how standardized injection hardware reduces phase-timing variance across your radiographer team.

Book a Workflow Review →

Pitfalls for radiographers: missing the late arterial window

The single most consequential scanning pitfall in the multi-phase liver CT protocol is missing the brief, true late arterial window. Scanning too early captures the early arterial phase, in which the hepatic artery and portal vein are opacified but the liver parenchyma — and the hypervascular HCC nodule against it — have not yet reached peak differential enhancement. Scanning too late allows portal venous inflow to begin diluting the parenchymal-arterial contrast differential, again making a hypervascular lesion iso-attenuating with surrounding liver and therefore invisible.

CategoryDescriptionMitigation
Bolus-tracking miscalibrationTrigger threshold set too low/high, or ROI placed in a vessel with atypical flow, causing premature or delayed scan initiation.Standardize ROI placement at the celiac axis/proximal aorta; use a validated fixed additional delay (≈15–18 s) rather than triggering at the exact threshold crossing.
Cardiac output variabilityPatients with reduced ejection fraction or hyperdynamic cirrhotic circulation transit contrast at non-standard rates.Review prior cardiac history; consider extending the fixed delay in known low-output patients.
Inconsistent injection techniqueManual or poorly maintained power injectors introduce flow-rate variability between patients and operators.Use validated, maintained high-pressure injector systems with consistent flow-rate calibration.
Coverage gapsFailing to include the full liver (especially high dome or low right lobe tip) within the acquisition volume.Plan scan range generously from above the diaphragm to below the right lobe tip on the localizer.
Respiratory motion between phasesInconsistent breath-hold depth between arterial, venous, and delayed acquisitions creates registration mismatch.Use consistent, coached breath-hold instructions for every phase of the same examination.

Pitfalls for radiologists: transient hepatic intensity differences

The principal interpretive pitfall in multi-phase liver CT is the transient hepatic intensity difference (THID), also called transient hepatic attenuation difference. These are benign, wedge-shaped or geographic perfusion alterations — most often related to subtle portal venous flow variation, small AV shunts, or biliary obstruction — that appear as focal areas of arterial-phase hyperenhancement and can closely mimic a small hypervascular lesion such as HCC.

PitfallMechanismConsequenceMitigation
Transient hepatic intensity difference (THID)Focal perfusion alteration from subtle portal flow variation, capsular/parasitic arterial supply, or small AV shuntingFalse-positive arterial enhancement mimicking HCC, prompting unnecessary follow-up or biopsyConfirm absence of a corresponding mass on non-contrast and portal venous phases; geographic/wedge morphology favors THID over a true round mass
Isoattenuating HCC at incorrect phase timingAcquisition outside the true late arterial windowFalse-negative; tumor undetected until next surveillance intervalCorrelate with prior or follow-up imaging; repeat dedicated arterial-phase acquisition if clinical suspicion remains high
Arterioportal shunting in cirrhosisMicroscopic shunts common in advanced fibrosis create patchy arterial enhancementOvercalling diffuse multifocal HCCAssess for washout and capsule; diffuse non-nodular patterns favor shunting over tumor
Confluent hepatic fibrosisWedge-shaped fibrotic band, often capsular retractionMistaken for infiltrative HCC or cholangiocarcinomaNote characteristic peripheral wedge shape and capsular retraction without true mass effect
🩺

Reduce false-positive THID call-backs

Structured reporting templates and AI-assisted phase comparison tools can flag true washout patterns versus transient perfusion artifact.

See AI Liver Reporting Tools →

Pitfalls for non-radiology physicians

PitfallWhat they seeWhat it actually isClinical dangerWhat to do
“No mass seen” on a single-phase report excerptA brief report line referencing one phaseHCC may only be visible on the dedicated late arterial phase, which may not be the phase displayed in a quick PACS previewFalse reassurance; delayed referral to hepatology/oncologyAlways review the full multi-phase report and impression, not a single image or phase
Rising AFP with a “normal” CTDiscordance between a biomarker trend and an imaging reportEarly HCC can be AFP-negative or sub-centimeter and below CT detection threshold even with optimal techniquePremature exclusion of HCC despite ongoing biologic riskRecommend short-interval follow-up imaging or MRI with hepatobiliary contrast in persistently discordant cases
“Enhancing lesion” flagged without washout descriptionAny arterial enhancement noted in the reportArterial enhancement alone (without washout) is non-specific and includes many benign entities such as FNH, THID, and shuntingUnnecessary patient anxiety, premature biopsy referral, or conversely dismissal of a genuinely concerning findingDiscuss LI-RADS category directly with the reporting radiologist rather than acting on enhancement alone
Treating a surveillance CT like a routine abdominal CTA standard contrast-enhanced abdomen/pelvis order placed instead of the dedicated protocolA single-phase portal venous study lacks the arterial phase needed to detect HCCMissed or unconfirmable HCC; need to repeat the entire study with correct protocolOrder “multi-phase liver/HCC protocol” explicitly for any patient with known cirrhosis or suspected HCC

Pitfall comparison summary

🟡 Scanning (radiographers)

Missing the true late arterial window through bolus-tracking error, cardiac output variability, or inconsistent injection technique — the root technical cause of false-negative HCC detection.

🔴 Interpretation (radiologists)

Transient hepatic intensity differences and arterioportal shunting mimicking arterial hyperenhancement — the root interpretive cause of false-positive HCC calls.

🟣 Clinical (physicians)

Ordering the wrong protocol, acting on a single phase, or dismissing imaging based on biomarker discordance — the root communication/ordering cause of diagnostic delay.

AI & automation in liver CT protocols

Artificial intelligence tools are increasingly embedded across the multi-phase liver CT workflow, from acquisition through reporting. FDA-cleared and CE-marked deep learning reconstruction packages are now standard on most CT platforms from the major manufacturers, allowing dose reduction without sacrificing the low-contrast detectability that small HCC nodules require. On the interpretation side, AI-assisted liver lesion characterization tools — several with regulatory clearance for radiologist decision support — perform automated liver segmentation, lesion detection, and phase-by-phase enhancement quantification to flag washout patterns and assist LI-RADS categorization, functioning as a structured second check rather than a replacement for radiologist judgment.

On the technical/injection side, automated bolus-tracking software integrated with modern power injectors reduces the operator-dependent variability that drives the radiographer pitfall described above, while smart injector platforms log flow rate, volume, and pressure data automatically into the patient record — supporting both quality assurance and dose/contrast audit programs at the departmental level.

🤖

Bring AI-assisted consistency to your liver protocol

SATMED Health’s integrated injection and workflow platform supports automated bolus tracking and audit-ready dose/contrast logging.

Explore Liver AI & Automation Solutions →

Further reading

  1. Critical Non-Contrast Brain CT Parameters Every Radiographer Must Master
  2. 7 Critical CTA Brain & Carotids Protocol Steps Every Radiographer Must Master
  3. 2026 Worldwide Guidelines for Safe Contrast Media Administration
  4. The Price We Pay for Bubbles in CT and MRI: Understanding Venous Air Embolism
  5. 7 Proven Strategies for Optimizing MRI Sequences in 2026

Conclusion

The multi-phase liver CT protocol succeeds or fails on timing. Every element covered in this guide — bolus-tracking calibration, the fixed additional delay that defines the true late arterial phase, the portal venous and delayed phases that confirm washout, and the dose-conscious reconstruction choices that make repeated surveillance imaging sustainable — exists in service of one diagnostic moment: catching a hypervascular HCC nodule at the instant it is brightest against the liver and watching it fade on subsequent phases.

The three-tier pitfall framework presented here reflects where that diagnostic chain most commonly breaks. Radiographers must defend the late arterial window against bolus-tracking and cardiac-output variability. Radiologists must distinguish genuine washout from transient hepatic intensity differences and arterioportal shunting. Non-radiology physicians must order the correct dedicated protocol and interpret reports in full context rather than isolated phases or biomarkers. When all three links hold, the multi-phase liver CT protocol delivers what few cancers allow: a confident, non-invasive, imaging-only diagnosis of hepatocellular carcinoma — and pathologies including hemangioma, FNH, adenoma, portal vein thrombosis, Budd-Chiari syndrome, cholangiocarcinoma, abscess, and regenerative nodules are reliably differentiated along the way.

References

  1. American College of Radiology. (2018). CT/MRI Liver Imaging Reporting and Data System (LI-RADS) version 2018. American College of Radiology. https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS
  2. Chernyak, V., Fowler, K. J., Kamaya, A., Kielar, A. Z., Elsayes, K. M., Bashir, M. R., Kono, Y., Do, R. K., Mitchell, D. G., Singal, A. G., Tang, A., & Sirlin, C. B. (2018). Liver Imaging Reporting and Data System (LI-RADS) version 2018: Imaging of hepatocellular carcinoma in at-risk patients. Radiology, 289(3), 816–830. https://doi.org/10.1148/radiol.2018181494
  3. Marrero, J. A., Kulik, L. M., Sirlin, C. B., Zhu, A. X., Finn, R. S., Abecassis, M. M., Roberts, L. R., & Heimbach, J. K. (2018). Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology, 68(2), 723–750. https://doi.org/10.1002/hep.29913
  4. European Association for the Study of the Liver. (2018). EASL clinical practice guidelines: Management of hepatocellular carcinoma. Journal of Hepatology, 69(1), 182–236. https://doi.org/10.1016/j.jhep.2018.03.019
  5. Onishi, H., Tsuboyama, T., Nakamoto, A., Ota, T., Fukui, H., Tatsumi, M., Honda, T., Kiso, K., Matsumoto, S., Kaketaka, K., Enchi, Y., Kawabata, S., Nakasone, S., & Tomiyama, N. (2024). Photon-counting CT: Technical features and clinical impact on abdominal imaging. Abdominal Radiology, 49(11), 4111–4122. https://doi.org/10.1007/s00261-024-04414-5
  6. Forner, A., Reig, M., & Bruix, J. (2018). Hepatocellular carcinoma. The Lancet, 391(10127), 1301–1314. https://doi.org/10.1016/S0140-6736(18)30010-2
  7. Llovet, J. M., Kelley, R. K., Villanueva, A., Singal, A. G., Pikarsky, E., Roayaie, S., Lencioni, R., Koike, K., Zucman-Rossi, J., & Finn, R. S. (2021). Hepatocellular carcinoma. Nature Reviews Disease Primers, 7, Article 6. https://doi.org/10.1038/s41572-020-00240-3
  8. Kim, T. K., Lee, K. H., Jang, H. J., Haider, M. A., Jacks, L. M., Menezes, R. J., Park, S. H., & Yazdi, L. (2016). Analysis of gadobenate dimeglumine-enhanced MR findings for characterizing small (1–2 cm) hepatic nodules in patients at high risk for hepatocellular carcinoma. Radiology, 281(1), 234–243. https://doi.org/10.1148/radiol.2016151620
  9. Yoon, J. H., Lee, J. M., Lee, K. B., Kim, S. W., Kang, M. J., Go, J. S., Lee, K. H., & Han, J. K. (2018). A comparison of biannual two-phase low-dose liver CT and annual chest X-ray for hepatocellular carcinoma surveillance in a hepatitis B virus-endemic area. Liver Cancer, 7(4), 322–337. https://doi.org/10.1159/000487711
  10. Lee, S., Kim, S. S., Roh, Y. H., Choi, J. Y., Park, M. S., & Kim, M. J. (2019). Diagnostic performance of CT/MRI Liver Imaging Reporting and Data System v2017 for hepatocellular carcinoma: A systematic review and meta-analysis. Liver International, 39(2), 339–350. https://doi.org/10.1111/liv.13975
  11. Bashir, M. R., Husarik, D. B., Ziemlewicz, T. J., Gupta, R. T., Boll, D. T., & Merkle, E. M. (2015). Liver MRI in the hepatocyte phase with gadoxetic acid: Does it allow for the confident detection of small hypervascular hepatocellular carcinoma? Journal of Magnetic Resonance Imaging, 41(5), 1357–1364. https://doi.org/10.1002/jmri.24698
  12. International Commission on Radiological Protection. (2021). ICRP Publication 147: Use of dose quantities in radiological protection. Annals of the ICRP, 50(1).
  13. European Commission. (2018). Radiation Protection No. 185: European guidelines on diagnostic reference levels for paediatric imaging. Directorate-General for Energy.
  14. McCollough, C. H., Bushberg, J. T., Fletcher, J. G., & Eckel, L. J. (2015). Answers to common questions about the use and safety of CT scans. Mayo Clinic Proceedings, 90(10), 1380–1392. https://doi.org/10.1016/j.mayocp.2015.07.011
  15. Singal, A. G., Lampertico, P., & Nahon, P. (2020). Epidemiology and surveillance for hepatocellular carcinoma: New trends. Journal of Hepatology, 72(2), 250–261. https://doi.org/10.1016/j.jhep.2019.08.025
  16. Tang, A., Cruite, I., Sirlin, C. B. (2015). Toward a standardized system for hepatocellular carcinoma diagnosis using computed tomography and magnetic resonance imaging. World Journal of Hepatology, 7(2), 226–235. https://doi.org/10.4254/wjh.v7.i2.226
  17. Chartrand, G., Cheng, P. M., Vorontsov, E., Drozdzal, M., Turcotte, S., Pal, C. J., Kadoury, S., & Tang, A. (2017). Deep learning: A primer for radiologists. RadioGraphics, 37(7), 2113–2131. https://doi.org/10.1148/rg.2017170077
  18. Sirlin, C. B., Liu, P. S., & Fowler, K. J. (2021). LI-RADS: A glimpse into the future. Abdominal Radiology, 46(1), 12–24. https://doi.org/10.1007/s00261-019-02282-2
  19. Bartolotta, T. V., Taibbi, A., Midiri, M., & Lagalla, R. (2019). Contrast-enhanced ultrasound of hepatocellular carcinoma: Where do we stand? World Journal of Hepatology, 11(8), 661–671. https://doi.org/10.4254/wjh.v11.i8.661
  20. Renzulli, M., Brocchi, S., Cucchetti, A., Mazzotti, F., Mosconi, C., Sportoletti, C., Brandi, G., Pinna, A. D., & Golfieri, R. (2016). Can current preoperative imaging be used to detect microvascular invasion of hepatocellular carcinoma? Radiology, 279(2), 432–442. https://doi.org/10.1148/radiol.2015150998
  21. Choi, J. Y., Lee, J. M., & Sirlin, C. B. (2017). CT and MR imaging diagnosis and staging of hepatocellular carcinoma: Part I. Development, growth, and spread — key pathologic and imaging aspects. Radiology, 272(3), 635–654.
  22. Mileto, A., Marin, D., Alfaro-Cordoba, M., Ramirez-Giraldo, J. C., Eusemann, C. D., Scribano, E., & Mazziotti, S. (2017). Iodine quantification to distinguish clear cell from papillary renal cell carcinoma at dual-energy multidetector CT: A multireader diagnostic performance study. Radiology, 273(3), 813–820.
  23. Kambadakone, A. R. (2020). Dual-energy CT spectral imaging in oncology: Applications and emerging concepts. Cancer Imaging, 20, Article 23. https://doi.org/10.1186/s40644-020-00306-2
  24. Radwan, S., & Shepperd, S. (2020). Air bubbles in the heart: A case of contrast media injection-induced venous air embolism. Cureus, 12(6), e8708. https://doi.org/10.7759/cureus.8708
  25. Mudgal, K. S., & Das, N. (2020). The ethical adoption of artificial intelligence in radiology. BJR Open, 2(1), Article 20190020. https://doi.org/10.1259/bjro.20190020
  26. European Society of Radiology. (2019). Impact of artificial intelligence on radiology: A EuroSafe Imaging perspective. Insights into Imaging, 10, Article 44. https://doi.org/10.1186/s13244-019-0738-2
  27. Geh, D., Manas, D. M., & Reeves, H. L. (2021). Hepatocellular carcinoma surveillance: Current status and future directions. Liver International, 41(8), 1683–1694. https://doi.org/10.1111/liv.14938

Subscribe for Updates!