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INTRODUCTION
Hepatocellular carcinoma (HCC) can be noninvasively diagnosed by characteristic imaging findings without pathological confirmation in high-risk patients [1, 2]. Contrast-enhanced CT/MRI is globally recognized as the first-line imaging modality for diagnosing HCC [3, 4, 5, 6].
The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) [7], a diagnostic algorithm that assigns a category for each observation in high-risk patients according to the likelihood of HCC, from the LR-1 category (definitely benign) to LR-5 category (definitely HCC), has been actively adopted in clinical practice [8, 9, 10, 11]. High specificity for diagnosing HCC at the LR-5 level is essential for guiding treatment decisions without the need for biopsy confirmation. However, to maintain the high specificity of LR-5, its sensitivity is somewhat sacrificed [12]. Improving the sensitivity of HCC diagnosis at the LR-5 level would be beneficial for accurately identifying candidates for treatment and improving survival outcomes. High sensitivity for HCC is particularly important in regions where local therapeutic interventions are predominantly used instead of liver transplantation [7]. One factor contributing to the limited sensitivity of HCC could be the inherent limitations of CT/MRI in non-real-time examinations. Inaccurate arterial phase timing can fail to capture arterial phase hyperenhancement (APHE) in observations [13]. Among high-risk patients undergoing HCC surveillance, approximately 20% have liver lesions without APHE on CT/MRI [14]. These lesions, which present with some but not all hallmarks of HCC, are classified as LR-3 or LR-4 rather than LR-5. This underscores the necessity for immediate and effective problem-solving strategies to improve the sensitivity while preserving the specificity of the LR-5 category in HCC diagnosis.
Contrast-enhanced ultrasound (CEUS) with microbubbles, such as sulfur hexafluoride (SHF) and perfluorobutane (PFB), provides the advantage of real-time assessment of contrast enhancement, leading to superior sensitivity for detecting APHE compared to CT and MRI [5, 13]. In previous studies, approximately 28% of lesions without APHE on CT/MRI presented with APHE on SHF-enhanced US [15]. PFB-enhanced US also detected APHE in approximately 29% of observations without APHE on CT/MRI [16]. Particular attention was paid to the role of the Kupffer phase in the PFB-enhanced US. PFB can be specifically phagocytosed by Kupffer cells in the liver, leading to persistent enhancement of normal liver parenchyma during the Kupffer phase. Lesions with a reduced number and function of Kupffer cells during hepatocarcinogenesis can manifest as Kupffer defect [5]. Kupffer-phase findings can assist in characterizing lesions without washout on MRI as HCC [17, 18].
Therefore, a combination strategy combining CT/MRI and second-line CEUS may be beneficial for improving the diagnostic sensitivity for HCC without losing specificity. However, this has not been thoroughly explored. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS with second-line CEUS with SHF or PFB.
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MATERIALS AND METHODS
Participants
This study was a retrospective analysis of prospectively collected data. The study was approved by the local Institutional Review Board (IRB No. ChiCTR2100047035), which waived the requirement for informed consent.
A total of 375 high-risk patients with 424 treatment-naïve hepatic nodules detected by routine US screening or surveillance using contrast-enhanced CT or MRI from June 2021 to December 2021 were enrolled in a previous multicenter study [19]. All patients underwent SHF-enhanced and PFB-enhanced US on the same day. Patients also underwent concurrent CT and/or MRI examinations within 1 month. In the previous study, the CT/MRI LR-5 criteria were accepted for the noninvasive diagnosis of HCC in the absence of pathological confirmation. However, the diagnostic performance of CT/MRI LI-RADS as an index test for diagnosing HCC needs to be evaluated in the present study. To prevent CT/MRI from serving as both index tests and reference standards, 118 patients with 118 HCC lesions diagnosed by CT/MRI LR-5 criteria without pathological confirmation in the previous study were excluded. The remaining 281 participants with 306 observations with available reference standards (as described below) defined in the present study were finally included (Fig. 1).
Fig. 1
Flow chart of study participants. SHF = sulfur hexafluoride, PFB = perfluorobutane, HCC = hepatocellular carcinoma, LI-RADS = Liver Imaging Reporting and Data System, CEUS = contrast-enhanced ultrasound
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CT and MRI Acquisition and Interpretation
In this study, 44 patients underwent contrast-enhanced CT only, 199 patients underwent contrast-enhanced MRI only, and 38 patients underwent both contrast-enhanced CT and contrast-enhanced MRI, as shown in Supplementary Table 1. Among 24 participants with more than one observation, only the three largest observations were included. CT examinations were performed using multiple multi-detector CT systems with iopromide (Ultravist, Bayer Schering Pharma, Berlin, Germany). MRI examinations were performed using a 1.5T or 3T system with either the extracellular agent gadopentetate dimeglumine (Magnevist, Bayer Schering Pharma) or the hepatobiliary agent gadoxetate disodium (Primovist, Bayer Schering Pharma). Details of the CT and MRI protocols are provided in Supplementary Materials 1.
Two readers (with 9 and 10 years of experience in abdominal imaging), who were blinded to the final diagnosis, laboratory results, medical records, and other imaging test results, independently reviewed all CT and MRI images. For each observation, the major features of HCC in CT/MRI LI-RADS (non-rim APHE, non-peripheral washout, and enhancing capsule) and LR-M targetoid features were recorded. Disagreements were resolved by consultation with a third, more experienced reviewer (with 20 years of experience in abdominal imaging). For the 38 patients who underwent both CT and MRI examinations, the readers evaluated only the MRI findings, reflecting a more robust evaluation of certain LI-RADS features such as targetoid appearance on MRI. Each observation was assigned to a LI-RADS category in accordance with CT/MRI LI-RADS.
CEUS Acquisition and Interpretation
For each participant, grayscale, SHF-enhanced, and PFB-enhanced US were performed using multiple ultrasonic instruments. Contrast agents (for SHF-enhanced US: SonoVue, Bracco, Milan, Italy; for PFB-enhanced US: Sonazoid, GE Healthcare, Oslo, Norway) were administered. There was a minimum interval of 30 minutes between SHF-enhanced and PFB-enhanced US. Images were obtained in the vascular phase (i.e., arterial, portal venous, and late phases) and only for PFB-enhanced US in the Kupffer phase. Details of the CEUS protocols are provided in Supplementary Materials 2.
Two radiologists (with 13 and 12 years of experience in abdominal imaging, including liver CEUS), who were blinded to the final diagnosis, laboratory results, medical records, and other imaging test results, independently reviewed all SHF-enhanced US images in the first session and PFB-enhanced US images in the second session. There was a 1-month interval between the two sessions to avoid recall bias. For each observation, the features of APHE, washout time, and degree of washout were recorded on both SHF-enhanced US and PFB-enhanced US, and only for PFB-enhanced US, Kupffer defects. Disagreements were resolved by consultation with a third, more experienced reviewer (with 21 years of experience in abdominal imaging, including liver CEUS). Three LI-RADS categories were assigned to each observation: CEUS LI-RADS based on SHF-enhanced US (LI-RADS SHF), CEUS LI-RADS based on PFB-enhanced US (LI-RADS PFB), and a modified algorithm based on PFB-enhanced US (modified PFB). Compared to CEUS LI-RADS, the modified algorithm upgraded observations ≥10 mm with APHE, no washout, and a Kupffer defect from LR-4 to LR-5, and reassigned observations ≥10 mm with APHE, early washout, and mild Kupffer defect from LR-M to LR-5 [19].
Diagnostic Strategies
Four diagnostic strategies for HCC were evaluated: CT/MRI LI-RADS alone, and three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB. Using CT/MRI LI-RADS alone, LR-5 assessed using CT or MRI was considered positive for the diagnosis of HCC. A two-step diagnostic process was implemented for combination strategies. First, HCC was diagnosed if an observation met the LR-5 criteria using CT/MRI LI-RADS (the same as CT/MRI LI-RADS alone). Second, HCC was diagnosed if LR-3 or LR-4 lesions on CT and MRI met the LR-5 criteria using either LI-RADS SHF, LI-RADS PFB, or modified PFB.
Reference Standard
Histological assessment (i.e., needle biopsy or surgical resection) of HCC and non-HCC malignancies was required. For benign lesions, either pathological confirmation or a composite reference standard was accepted as the reference standard. The composite standard for benign lesions was characteristic imaging features on CT or MRI, size reduction, or size stability during a minimum 2-year follow-up period.
Statistical Analysis
Continuous variables were presented as means and standard deviations, and categorical variables were presented as numbers and percentages. The inter-reader agreement for the binary categorization of LR-5 versus others was assessed by calculating Cohen's kappa (κ) coefficients with 95% confidence intervals [CIs], which were categorized as follows [20]: 0.00–0.20, slight agreement; 0.21–0.40, fair; 0.41–0.60, moderate; 0.61–0.80, substantial; and 0.81–1.00, excellent. Consensus interpretation of the imaging results was used to estimate diagnostic performance. The diagnostic performances of the four diagnostic strategies were assessed in terms of sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value. McNemar's test was used to compare the sensitivity, specificity, and accuracy of diagnostic strategies. P < 0.013 indicated a significant difference in the diagnostic performance results after Bonferroni correction for three pairwise comparisons. All statistical analyses were performed using SPSS (version 26.0, IBM Corp., Armonk, NY, USA). P < 0.05 indicated a significant difference unless otherwise stated.
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RESULTS
Participant and Observation Characteristics
Finally, a total of 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (mean size, 40 ± 25 mm; 227 HCCs, 40 non-HCC malignancies, 39 benign lesions) were included. The clinicopathological characteristics of the study participants and their observations are summarized in Table 1. Among them, 71 of the 306 (23.2%) observations had a maximum diameter of less than 20 mm (hereafter referred to as small observations).
Table 1
Characteristics of participants and observations
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Imaging Features
Figure 2 presents the confusion matrices of the imaging features, and Table 2 provides an overview of the imaging features identified in the 227 HCC observations across various imaging modalities, including CT/MRI, SHF-enhanced US, and PFB-enhanced US. Non-rim APHE was observed in 81.5% (185/227) of HCCs on CT/MRI, whereas it was more frequently observed in 95.6% (217/227) and 96.0% (218/227) of HCCs on SHF-enhanced and PFB-enhanced US, respectively (both P < 0.001). Washout pattern was observed in 83.7% (190/227) of HCCs on CT/MRI, while it was observed in 80.2% (182/227, P = 0.382) and 82.8% (188/227, P = 0.899) of HCCs on SHF-enhanced US and PFB-enhanced US, respectively. A Kupffer defect on PFB-enhanced US was more frequently observed, in 94.7% (215/227) of HCCs, than the washout pattern on CT/MRI (P < 0.001).
Fig. 2
Confusion matrices comparing imaging features between CT/MRI and contrast-enhanced US among 227 HCCs. A-E: Each matrix corresponds to a specific imaging feature. The value of each cell indicates the number of nodules. US = ultrasound, HCC = hepatocellular carcinoma, SHF = sulfur hexafluoride, APHE = arterial phase hyperenhancement, PFB = perfluorobutane, KD = Kupffer defect
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Table 2
Summarize of imaging features on CT/MRI and contrast-enhanced US in 227 HCCs
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The frequency and inter-reader agreement of imaging features on CT/MRI, SHF-enhanced US, and PFB-enhanced US for all 306 observations are summarized in Supplementary Tables 2 and 3, respectively.
Inter-Reader Agreement of Categorization as LR-5
Table 3 summarizes the inter-reader agreement for the binary categorization of LR-5 versus others. The κ values ranged 0.60–0.63, indicating moderate-to-substantial agreement.
Table 3
Inter-reader agreement for binary categorization as LR-5 vs. others
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LI-RADS Category Assignments
For all 306 observations, cross-tabulation of LI-RADS category assignments between CT/MRI LI-RADS paired with LI-RADS SHF, LI-RADS PFB, and modified PFB is shown in Figure 3, respectively. Using the CT/MRI LI-RADS, 13 (4.2%) observations were classified as LR-1 or LR-2, 33 (10.8%) as LR-3, 33 (10.8%) as LR-4, 174 (56.9%) as LR-5, and 53 (17.3%) as LR-M. Among the CT/MRI observations reclassified as LR-5 using LI-RADS SHF, LI-RADS PFB, and modified PFB (20, 23, and 31, respectively), 100% were pathologically confirmed as HCC.
Fig. 3
Cross-tabulation of LI-RADS category assignments between CT/MRI LI-RADS paired with (A) LI-RADS SHF, (B) LI-RADS PFB, and (C) modified PFB for all 306 observations. Of 66 observations assessed as LR-3 or LR-4 by CT/MRI LI-RADS alone, 20 (30.3%), 23 (34.8%), and 31 (47.0%) were characterized as LR-5 using LI-RADS SHF, LI-RADS PFB, and modified PFB, respectively (100% HCC). LI-RADS = Liver Imaging Reporting and Data System, SHF = sulfur hexafluoride, PFB = perfluorobutane, HCC = hepatocellular carcinoma, OM = non-HCC malignancy
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For the 71 small observations, cross-tabulation of LI-RADS category assignments between CT/MRI LI-RADS paired with LI-RADS SHF, LI-RADS PFB, and modified PFB are shown in Figure 4, respectively. Using the CT/MRI LI-RADS, 4 (5.6%) small observations were classified as LR-1 or LR-2, 24 (33.8%) as LR-3, 6 (8.5%) as LR-4, 28 (39.4%) as LR-5, and 9 (12.7%) as LR-M. Among the small observations reclassified as LR-5 using the LI-RADS SHF, LI-RADS PFB, and modified PFB (7, 6, and 10, respectively), 100% were pathologically confirmed as HCC.
Fig. 4
Cross-tabulation of LI-RADS category assignments between CT/MRI LI-RADS paired with (A) LI-RADS SHF, (B) LI-RADS PFB, and (C) modified PFB for 71 observations with a maximum diameter of less than 20 mm. Of 30 small observations assessed as LR-3 or LR-4 by CT/MRI LI-RADS, 7 (23.3%), 6 (20.0%), and 10 (33.3%) were characterized as LR-5 using LI-RADS SHF, LI-RADS PFB, and modified PFB, respectively (100% HCC). LI-RADS = Liver Imaging Reporting and Data System, SHF = sulfur hexafluoride, PFB = perfluorobutane, HCC = hepatocellular carcinoma, OM = non-HCC malignancy
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Example images of two pathologically confirmed HCCs assigned LR-3 by CT/MRI LI-RADS but LR-5 by LI-RADS SHF, LI-RADS PFB, and modified PFB, are provided in Figure 5 and Figure 6, respectively. Example images of pathologically confirmed HCC assigned as LR-3 by CT/MRI LI-RADS, LR-4 by both LI-RADS SHF and LI-RADS PFB, and LR-5 by modified PFB are provided in Supplementary Figure 1.
Fig. 5
Images of a 39-year-old male at high risk of HCC due to chronic hepatitis B virus infection. A: On contrast-enhanced CT with iopromide, plain image shows a 14 mm hypodensity observation in segment VI (arrow). B: AP image showing the absence of non-rim APHE (arrow). C, D: PVP and DP images show non-peripheral washout (arrows). E: Grayscale US image showing a 15 mm hypoechoic observation in segment VI (arrow). F: On SHF-enhanced US, the AP image at 21 seconds shows non-rim APHE (arrow). G: Portal venous-phase image at 1:38 minutes shows no washout (arrow). H: Late-phase image at 2:46 minutes showing late and mild washout (arrow). I: On PFB-enhanced US, the AP image at 21 seconds shows non-rim APHE (arrow). J: PVP image at 1 minute showing no washout (arrow). K: Late-phase image at 4:34 minutes showing late and mild washout (arrow). L: Kupffer-phase image at 20 minutes shows a marked Kupffer defect (arrow). This observation was assigned as LR-3 by CT/MRI LI-RADS and LR-5 according to the following criteria: LI-RADS SHF, LI-RADS PFB, and modified PFB. The pathological diagnosis based on the needle biopsy was HCC. HCC = hepatocellular carcinoma, AP = arterial phase, APHE = arterial hyperenhancement, PVP = portal venous-phase, DP = delayed-phase, US = ultrasound, SHF = sulfur hexafluoride, PFB = perfluorobutane, LI-RADS = Liver Imaging Reporting and Data System
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Fig. 6
Images of a 52-year-old male at high risk of HCC due to liver cirrhosis caused by chronic hepatitis B virus infection. A: On contrast-enhanced MRI with hepatobiliary agent gadoxetate disodium, T1-weighted image shows a 17 mm hypointense observation in segment IV/V (arrow). B: AP image shows non-rim APHE (arrow). C: PVP image shows the observation without non-peripheral washout (arrow). D: TP image shows the observation without enhancing “capsule” (arrow). E: Gray-scale US image showing a 15 mm hypoechoic observation in segments IV/V (arrow and calipers 1 and 2). F: On SHF-enhanced US, the AP image at 17 seconds shows non-rim APHE (arrow). G: PVP image at 1:39 minutes showing no washout (arrow). H: Late-phase image at 5:12 minutes showing late and mild washout (arrow). I: On PFB-enhanced US, AP image at 17 seconds shows non-rim APHE (arrow). J: PVP image at 1:04 minutes showing no washout (arrow). K: Late-phase image at 4:24 minutes showing late and mild washout (arrow). L: Kupffer-phase image at 20 minutes shows a marked Kupffer defect (arrow). This observation was assigned as LR-3 by CT/MRI LI-RADS and LR-5 according to the following criteria: LI-RADS SHF, LI-RADS PFB, and modified PFB. The pathological diagnosis based on the needle biopsy was HCC. HCC = hepatocellular carcinoma, AP = arterial phase, APHE = arterial hyperenhancement, PVP = portal venous-phase, TP = transitional-phase, US = ultrasound, SHF = sulfur hexafluoride, PFB = perfluorobutane, LI-RADS = Liver Imaging Reporting and Data System
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Diagnostic Performance of Different Diagnostic Strategies
Table 4 shows the diagnostic performance of the CT/MRI LI-RADS alone and the three combination strategies combining the CT/MRI LI-RADS with LI-RADS SHF, LI-RADS PFB, or modified PFB. For all 306 observations, CT/MRI LI-RADS alone yielded a sensitivity of 74% (95% CI: 68%, 79%), specificity of 92% (95% CI: 84%, 97%), accuracy of 79% (95% CI: 74%, 83%), and PPV of 97% (95% CI: 92%, 99%) for diagnosing HCC. Compared to CT/MRI LI-RADS alone, the combination strategies combining CT/MRI LI-RADS with LI-RADS SHF had increased sensitivity (83%, 95% CI: 77%, 87%, P < 0.001) and increased accuracy (85%, 95% CI: 81%, 89%, P < 0.001) without losing PPV (97%, 95% CI: 93%, 99%); with PFB had increased sensitivity (84%, 95% CI: 79%, 89%, P < 0.001) and increased accuracy (86%, 95% CI: 82%, 90%, P < 0.001) without losing PPV (97%, 95% CI: 93%, 99%); with modified PFB had increased sensitivity (88%, 95% CI: 83%, 92%; P < 0.001) and increased accuracy (89%, 95% CI: 85%, 92%, P < 0.001) without losing PPV (97%, 95% CI: 93%, 99%). The same specificity (92%, 95% CI: 84%, 97%) was achieved for all four diagnostic strategies.
Table 4
Diagnostic performance of different criteria for the diagnosis of HCC
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For 71 small observations, CT/MRI LI-RADS alone yielded a sensitivity of 60% (95% CI: 44%, 75%), specificity of 93% (95% CI: 75%, 99%), accuracy of 73% (95% CI: 62%, 82%), and PPV of 93% (95% CI: 75%, 99%) for diagnosing HCC. Compared to CT/MRI LI-RADS alone, the combination strategies combining CT/MRI LI-RADS with LI-RADS SHF and LI-RADS PFB showed no evidence of a statistically significant difference in sensitivity (77% [95% CI: 61%, 88%], P = 0.016 and 74% [95% CI: 59%, 86%], P = 0.031, respectively) or accuracy (83% [95% CI: 73%, 90%], P = 0.016 and 82% [95% CI: 71%, 89%], P = 0.031, respectively) without losing PPV (94%, [95% CI: 79%, 99%], for both), and with modified PFB had increased sensitivity (84%, 95% CI: 69%, 93%, P = 0.002) and increased accuracy (87%, 95% CI: 78%, 93%, P = 0.002) without losing PPV (95%, 95% CI: 81%, 99%). The same specificity (93%, 95% CI: 75%, 99%) was achieved for all four diagnostic strategies.
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DISCUSSION
This study aimed to explore the possibility of improving the sensitivity in diagnosing HCC at the LR-5 level while preserving specificity by combining CT/MRI LI-RADS with second-line CEUS using either SHF or PFB. Among the CT/MRI observations reclassified as LR-5 using the LI-RADS SHF, LI-RADS PFB, and modified PFB (20, 23, and 31, respectively), 100% were pathologically confirmed as HCC. Compared to CT/MRI LI-RADS alone (74%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB showed increased sensitivity (83%, 84%, and 88%, respectively; all P < 0.001) without sacrificing specificity (92% for all).
In this study, LI-RADS category assignments between CT/MRI LI-RADS paired with LI-RADS SHF, LI-RADS PFB, and modified PFB showed many inconsistencies, which was consistent with a previous study [21]. Although the CEUS LI-RADS shares similar concepts of the LI-RADS category with the CT/MRI LI-RADS, there are several differences between the diagnostic algorithms, reflecting dissimilarities in the methods of image acquisition and types of contrast agents [22]. These two modalities provide distinct, yet probably complementary, information. This might explain why the cross-tabulation showed many inconsistencies.
CEUS allows real-time assessment of contrast enhancement of an observation, which virtually eliminates the possibility of arterial phase mistiming and can detect APHE in approximately 28% of observations without APHE on CT or MRI [15, 16]. Similar results were obtained in this study; greater proportions of APHE were observed on CEUS than on CT/MRI (CT/MRI: 81.5%, SHF-enhanced US: 95.6%, PFB-enhanced US: 96.0%; both P < 0.001). In addition, PFB-enhanced US allows additional evaluation of lesions in the Kupffer phase. In the present study, a washout pattern on CT/MRI was observed in 83.7% of HCCs, whereas 94.7% of HCCs demonstrated a Kupffer defect on PFB-enhanced US (P < 0.001). In agreement with the results of this study, according to a Korean study, 30.8% of LR-3 and 62.2% of LR-4 HCC lesions in the absence of washout on MRI presented as Kupffer defects in the Kupffer phase [17]. Based on the LI-RADS, APHE and washout are important imaging features of the LR-5 categorization for diagnosing HCC; LR-5 cannot be assigned to lesions lacking APHE and washout on CT and MRI. In this case, CEUS is a reasonable problem-solving modality for improving the sensitivity of the LR-5 category in HCC diagnosis by detecting APHE or Kupffer defects without APHE or washout on CT and MRI.
Observations with some but not all hallmarks of HCC are classified as LR-3 or LR-4, which are considered indeterminate findings, to maintain the high specificity of LR-5 for diagnosing HCC. Indeterminate results are commonly observed in high-risk patients undergoing HCC surveillance [14]. Although biopsy is not routinely recommended because of associated risks such as bleeding and tumor seeding, delayed follow-up imaging may lead to delayed treatment of HCC and increased clinical and financial burdens [3, 4, 5, 6, 23]. Reclassification of CT/MRI as LR-3 and LR-4 using second-line CEUS could achieve further stratification of the probability of HCC. In this study, among the CT/MRI observations reclassified as LR-5 using LI-RADS SHF, LI-RADS PFB, and modified PFB (20, 23, and 31, respectively), 100% were pathologically confirmed as HCC. This might be attributed to high specificity and high PPV of LR-5 for diagnosing HCC using these three CEUS algorithms [19, 24, 25, 26]. Based on these findings, we suggest that HCC can be diagnosed if LR-3 or LR-4 lesions on CT and MRI meet the LR-5 criteria on second-line CEUS. Measures should be taken to ensure timely treatment of patients with LR-5 lesions on second-line CEUS instead of follow-up imaging.
In a previous study on SHF and PFB, both contrast agents used in enhanced US showed very high specificity for HCC, but low sensitivity [27]. However, high sensitivity for HCC, particularly early-stage HCC, will be beneficial in identifying candidates for treatment and improving survival. Therefore, it is crucial in regions that rely primarily on local treatments instead of transplantation. Enhancing the sensitivity of the LR-5 category for diagnosing HCC, while maintaining high specificity, has been pursued. In this study, compared to the CT/MRI LI-RADS alone (74%), the three combination strategies combining the CT/MRI LI-RADS with second-line CEUS had increased sensitivity (83%, 84%, and 88% for LI-RADS SHF, LI-RADS PFB, and modified PFB, respectively; All P < 0.001) without sacrificing specificity (92% for all) for all observations. The combination strategy of the CT/MRI LI-RADS with second-line CEUS has the potential to meet these unmet clinical needs.
The present study has several limitations. First, owing to the exploratory post hoc nature of this study, a potential bias, albeit unclear, might be involved. Second, data were collected from a population predominantly infected with the hepatitis B virus, and the generalizability of these findings remains unclear. Third, this study did not address the correlation or clustering of multiple lesions in the same patient. Finally, the analytical results for small observations with a maximum diameter of less than 20 mm were based on a small sample and thus need to be viewed with caution.
In conclusion, the combination of the CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.
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Supplement
The Supplement is available with this article at https://doi.org/10.3348/kjr.2024.0980.
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Yu Li
Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Sheng Li
Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Qing Li
Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Kai Li
Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou
Jing Han
Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Siyue Mao
Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Xiaohong Xu
Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang
Zhongzhen Su
Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai
Yanling Zuo
Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou
Shousong Xie
Department of Ultrasound, The First People\'s Hospital of Foshan, Foshan
Hong Wen
Department of Ultrasound, Huizhou Central People\'s Hospital, Huizhou
Xuebin Zou
Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Jingxian Shen
Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Lingling Li
Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
Jianhua Zhou
Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou
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