Abstract
Objectives
To determine if quantitative assessment of relative (R) and absolute (A) arterial phase hyperenhancement (APHE) and washout (WO) applied to indeterminate nodules on CT would improve the overall sensitivity of detection of hepatocellular carcinoma (HCC).
Methods
One-hundred and fourteen patients (90 male; mean age, 65 years) with 210 treatment-naïve HCC nodules (190 HCCs, 20 benign) who underwent 4-phase CT were included in this retrospective study. Four radiologists independently assigned a qualitative LR (LI-RADS) category per nodule. LR-3/4 nodules were then quantitatively analyzed by the 4 readers, placing ROIs within nodules and adjacent liver parenchyma. A/R-APHE and WO were calculated, and per-reader sensitivity and specificity updated. Interobserver agreement and AUCs were calculated per reader.
Results
Qualitative readers 1–4 categorized 57, 69, 57, and 63 nodules as LR-3/4 respectively with moderate to substantial agreement in LR category (kappa 0.56–0.69, p < 0.0001); their diagnostic performances in the detection of HCC were 80%, 73.2%, 77.4%, and 77.4% sensitivity, and 100%, 95%, 70%, and 100% specificity, respectively. A threshold of ≥ 20 HU for A-APHE increased overall sensitivity of HCC detection by 0.5–3.1% without changing specificity for the subset of nodules APHE − /WO + on qualitative read, with 2, 6, 6, and 1 additional HCC detected by readers 1–4. Relative and various A-WO formulae and thresholds all increased sensitivity, but with a drop in specificity for some/all readers.
Conclusion
Quantitatively assessed A-APHE showed potential to increase sensitivity and maintain specificity of HCC diagnosis when selectively applied to indeterminate nodules demonstrating WO without subjective APHE. Quantitatively assessed R and A-WO increased sensitivity, however reduced specificity.
Clinical relevance statement
A workflow using selective quantification of absolute arterial enhancement is routinely employed in the CT assessment of renal and adrenal nodules. Quantitatively assessed absolute arterial enhancement is a simple tool which may be used as an adjunct to help increase sensitivity and maintain specificity of HCC diagnosis in indeterminate nodules demonstrating WO without subjective APHE.
Key Points
• In indeterminate nodules categorized as LI-RADS 3/4 due to absent subjective arterial phase hyperenhancement, a cut-off for absolute arterial phase hyperenhancement of ≥ 20 HU may increase the overall sensitivity of detection of HCC by 0.5–3.1% without affecting specificity.
• Relative and various absolute washout formulae and cut-offs increased sensitivity of HCC detection, but with a drop in specificity for some/all readers.
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Abbreviations
- A-:
-
Absolute
- AUC:
-
Area under the ROC curve
- AP:
-
Arterial phase
- APHE:
-
Arterial phase hyperenhancement
- APHE − /WO + :
-
Nodule without arterial phase hyperenhancement demonstrating washout
- APHE + /WO − :
-
Nodule with arterial phase hyperenhancement but no washout
- CI:
-
Confidence interval
- CEUS:
-
Contrast enhanced ultrasound
- CT:
-
Computed tomography
- DP:
-
Delayed phase
- FN:
-
False negative
- FP:
-
False positive
- HCC:
-
Hepatocellular carcinoma
- HU:
-
Hounsfield units
- ICC:
-
Intraclass correlation coefficient
- Κ:
-
Cohen’s kappa
- LI-RADS:
-
Liver Imaging Reporting and Data System (LI-RADS v. 2018)
- LR:
-
LI-RADS
- MRI:
-
Magnetic resonance imaging
- MAHU:
-
Mean attenuation in Hounsfield units
- PV:
-
Portal venous phase
- PRE:
-
Unenhanced phase
- R-:
-
Relative
- ROI:
-
Region of interest
- ROC curve:
-
Receiver operating characteristic curve
- SD:
-
Standard deviation
- TAE:
-
Trans-arterial embolization
- TIV:
-
Tumor in vein
- TN:
-
True negative
- TP:
-
True positive
- WO:
-
Washout
- US:
-
Ultrasound
References
Heimbach JK, Kulik LM, Finn RS et al (2018) AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology 67(1):358–380. https://doi.org/10.1002/hep.29086
Bruix J, Sherman M (2005) Management of hepatocellular carcinoma. Hepatology 42(5):1208–1236. https://doi.org/10.1002/hep.20933
Chernyak V, Fowler KJ, Kamaya A et al (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
Roberts LR, Sirlin CB, Zaiem F et al (2018) Imaging for the diagnosis of hepatocellular carcinoma: a systematic review and meta-analysis. Hepatology 67(1):401–421. https://doi.org/10.1002/hep.29487
Kim YY, Choi JY, Sirlin CB, An C, Kim MJ (2019) Pitfalls and problems to be solved in the diagnostic CT/MRI Liver Imaging Reporting and Data System (LI-RADS). Eur Radiol 29(3):1124–1132. https://doi.org/10.1007/s00330-018-5641-6
Khalili K, Kim TK, Jang H-J, Yazdi LK, Guindi M, Sherman M (2011) Indeterminate 1–2-cm nodules found on hepatocellular carcinoma surveillance: biopsy for all, some, or none? Hepatology 54(6):2048–2054. https://doi.org/10.1002/hep.24638
LI-RADS AC of RC. CT/MRI LI-RADS® v2018. Published online 2018:1–60. https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS/CT-MRI-LI-RADS-v2018. Accessed Oct 2021
Pickhardt PJ, Graffy PM, Reeder SB, Hernando D, Li K (2018) Quantification of liver fat content with unenhanced MDCT: phantom and clinical correlation with MRI proton density fat fraction. AJR Am J Roentgenol 211(3):W151–W157. https://doi.org/10.2214/AJR.17.19391
American College of Radiology. Liver Imaging Reporting and Data System. https://www.acr.org/Clinical-Resources/, System. Available via%0A2018, Reporting-and-Data-Systems/LI-RADS. Accessed Jan 2022
Silverman SG, Israel GM, Herts BR, Richie JP (2008) Management of the incidental renal mass. Radiology 249(1):16–31. https://doi.org/10.1148/radiol.2491070783
Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15(2):155–163. https://doi.org/10.1016/j.jcm.2016.02.012
Li C-S, Chen R-C, Tu H-Y et al (2006) Imaging well-differentiated hepatocellular carcinoma with dynamic triple-phase helical computed tomography. Br J Radiol 79(944):659–665. https://doi.org/10.1259/bjr/12699987
Kutami R, Nakashima Y, Nakashima O, Shiota K, Kojiro M (2000) Pathomorphologic study on the mechanism of fatty change in small hepatocellular carcinoma of humans. J Hepatol 33(2):282–289. https://doi.org/10.1016/s0168-8278(00)80369-4
Chan A, Sertic M, Sammon J et al (2019) Diagnostic imaging of hepatocellular carcinoma at community hospitals and their tertiary referral center in the era of LI-RADS: a quality assessment study. Abdom Radiol (NY) 44(12):4028–4036. https://doi.org/10.1007/s00261-019-02237-3
Stocker D, Becker AS, Barth BK et al (2020) Does quantitative assessment of arterial phase hyperenhancement and washout improve LI-RADS v2018–based classification of liver lesions? Eur Radiol 30(5):2922–2933. https://doi.org/10.1007/s00330-019-06596-9
Okumura E, Sanada S, Suzuki M, Matsui O (2006) A computer-aided temporal and dynamic subtraction technique of the liver for detection of small hepatocellular carcinomas on abdominal CT images. Phys Med Biol 51(19):4759–4771. https://doi.org/10.1088/0031-9155/51/19/003
Kim KW, Lee JM, Klotz E et al (2009) Quantitative CT color mapping of the arterial enhancement fraction of the liver to detect hepatocellular carcinoma. Radiology 250(2):425–434. https://doi.org/10.1148/radiol.2501072196
Liu YI, Shin LK, Jeffrey RB, Kamaya A (2013) Quantitatively defining washout in hepatocellular carcinoma. AJR Am J Roentgenol 200(1):84–89. https://doi.org/10.2214/AJR.11.7171
Kang JH, Choi SH, Lee JS et al (2021) Inter-reader reliability of CT Liver Imaging Reporting and Data System according to imaging analysis methodology: a systematic review and meta-analysis. Eur Radiol 31(9):6856–6867. https://doi.org/10.1007/s00330-021-07815-y
Funding
This study was supported through protected research time provided by University Medical Imaging Toronto for Dr. Korosh Khalili.
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The scientific guarantor of this publication is Dr. Korosh Khalili.
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Pascal Tyrell, PhD Statistics and Epidemiology, and Sylvia Li, Masters, kindly provided statistical advice for this manuscript.
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Written informed consent was waived by the Institutional Review Board.
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Institutional Review Board approval was obtained (Health Sciences Research Ethics Board, University of Toronto).
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Zafar, S., Elbanna, K.Y., Todd, A.W.M. et al. Can absolute arterial phase hyperenhancement improve sensitivity of detection of hepatocellular carcinoma in indeterminate nodules on CT?. Eur Radiol 34, 2256–2268 (2024). https://doi.org/10.1007/s00330-023-10237-7
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DOI: https://doi.org/10.1007/s00330-023-10237-7