Zum Hauptinhalt springen

Diagnostic performance of intravascular perfusion based contrast-enhanced ultrasound LI-RADS in the evaluation of hepatocellular carcinoma

Yang, Kefeng ; Wu, Size ; et al.
In: Clinical Hemorheology and Microcirculation, Jg. 78 (2021-09-23), S. 429-437
Online unknown

Diagnostic performance of intravascular perfusion based contrast-enhanced ultrasound LI-RADS in the evaluation of hepatocellular carcinoma 

BACKGROUND: The contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) is a relative new algorithm for hepatocellular carcinoma (HCC) assessment. OBJECTIVE: To validate the diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for HCC. METHODS: Archives of 873 patients with focal liver lesions (FLLs) undergoing CEUS were reviewed, and target images were read by two sonologists independently according to the CEUS LI-RADS. The diagnostic performance was calculated and compared. RESULTS: Assessment with reference to CEUS LI-RADS, 87 of 218 FLLs (39.9%) were categorized as LR-5, 131 of 218 FLLs (60.1%) were categorized as non-LR-5, 19 of 99 HCCs were categorized as non-LR-5, and 7 of 119 non-HCCs were categorized as LR-5. The sensitivity, specificity, AUROC, positive and negative predictive values of CEUS LI-RADS for diagnosing HCC were 80.81%(95%CI: 71.7%–88.0%), 94.1%(95%CI: 88.3%–97.6%), 0.87 (95%CI: 0.82–0.92), 91.9%(95%CI: 84.1%–96.7%), and 85.5%(95%CI: 78.3%–91.0%), respectively. CONCLUSIONS: The diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for the evaluation of HCCs is very good.

Keywords: Liver; focal liver lesion (FLL); hepatocellular carcinoma (HCC); contrast-enhanced ultrasound (CEUS); liver imaging reporting and data system (LI-RADS)

1 Introduction

Focal liver lesions (FLLs) are common in general adult population, among them hepatocellular carcinoma (HCC) represents a significant international public health concern [[1], [3]]. Accurate diagnosis of FLLs is essential for appropriate treatment, especially the imaging evaluation of HCC [[3]]. Color Doppler ultrasound (US) and contrast agent enhanced ultrasound (CEUS) exhibit an important role in the liver assessment, can characterize the FLLs with preliminary information [[5], [7]]. In clinical practice, dichotomic categorization of FLLs for benign and malignant lesion is a usual consideration for diagnosis, and some pathologies of FLLs can be established, with reference standard from the World Federation for Ultrasound in Medicine & Biology (WFUMB) guidelines, including vascular perfusion features that the pattern and degree of enhancement in arterial phase, the presence or absence of washout in portal venous phase and late phase, the degree of washout, and washout timing, together with reference to risk factors [[5]]. However, some small HCCs, hypovascular HCCs, and other tumors with unusual manifestations at dynamic perfusion imaging present overlapping CEUS features with other pathologies, which makes the diagnosis challenging [[5], [7]]. To improve diagnosis, professionals continuously probe new methods. The contrast-enhanced ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) is a relative new algorithm endorsed by American College of Radiology (ACR) to improve standardization and consensus with regard to performance, interpreting, and reporting CEUS assessment of patients with risk factors of cirrhosis of various causes, chronic hepatitis B or C, alcohol induced liver disease, and nonalcoholic steatohepatitis, or other risk factors of the pathogenesis of HCC [[7]]. In this algorithm the lesions are assigned into different categories of the probability that the lesion is a benign entity or HCC according to CEUS findings. In LI-RADS, FLLs categorized as LR-1 indicates benign, LR-2 indicates probably benign, LR-3 indicates intermediate probability for HCC, LR-4 indicates probably HCC, LR-5 indicates HCC, LR-M indicates probably malignant but not specific for HCC, and LR-T indicates treated observation. LR-5V is a subcategory of LR-5, indicating an HCC lesion with tumor in vein [[7], [9]]. FLLs in patients at risk of HCC are common too, some of the FLLs are HCC or other malignant lesions, so CEUS is used widely for the evaluation of inconclusive FFLs. The CEUS LI-RADS has been reported turning out improving diagnostic efficiency in the patients at risk of HCC [[10], [12], [14], [16], [18], [20]]. However, the diagnostic efficiency is discordance, the advantages of CEUS LI-RADS for HCC in our district has not been sufficiently investigated, and further study is beneficial. The aim of the present study was to validate the diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for HCCs.

2 Materials and methods

2.1 Patients selection

During this retrospective study, achieves of 873 consecutive patients with FFLs undergoing CEUS examinations in a tertiary central hospital from January 2017 to May 2020 were reviewed. All FLLs had been examined using conventional US before undergoing CEUS. The inclusion criteria were: routine and incidental US evaluation positive for FLLs in patients at risk of HCC. Risk factors for HCC referred to that patients with cirrhosis of various causes, chronic hepatitis B or C, alcohol induced liver disease, and nonalcoholic steatohepatitis [[14], [16]]. FLLs at non-contrast CT or MRI assessed for other clinical aims; inconclusive FLLs after contrast enhanced CT or MRI assessment. Patients with benign FLLs at previous CEUS returned to routine follow-up. Patients with inconclusive FLLs or suspicious HCC at CEUS or CT or MRI were referred to further evaluation and/or management (follow-up, biopsy, etc). The exclusion criteria were: patients without contrast-enhanced CT/MRI or biopsy or other data for the determination of FLLs; patients losing follow-up; patients with diffuse HCCs; patients with FLLs of maximal diameter > 8cm (compromising visualization); patients had undergone transcatheter arterial chemoembolization, radiofrequency ablation, chemotherapy, and radiotherapy; and patients with poor quality of CEUS for the FLLs. 215 patients with 218 FLLs were included, and 658 patients with 674 FLLs were excluded. The patients selection flowchart is shown on Fig. 1. The baseline characteristics for patients and lesions are shown in Table 1.

Graph: Fig. 1 The patients selection flowchart.

Table 1 The baseline characteristics for patients and focal liver lesions

CharacteristicHepatocellular carcinomaIntrahepatic cholangiocarcinomaOther malignant lesionBenign lesion
Number99101792
Male (n, %)86(86.9)8(80)13(76.5)44(47.8)
Female (n, %)13(13.1)2(20)4(23.5)48(52.2)
Age (year)(32–88)(55–83)(43–83)(31–90)
Lesion size (mm)35.4±17.6 (median 30.5)35.5±16.9 (median 28.5)26.7±8.9 (median 26)24.9±17.1 (median 19)
Underlying liver diseasesChronic hepatitis B and/or cirrhosis.9 chronic hepatitis B; 1 biliary lithiasis.14 chronic hepatitis B and/or cirrhosis, 3 nonalcoholic steatohepatitis.78 chronic hepatitis B and/or cirrhosis, 11 nonalcoholic steatohepatitis, 2 alcoholic steatohepatitis, 1 immune-hepatitis.

2.2 US examination

Gray scale US, color Doppler flow imaging and CEUS were performed by using GE Logiq E9 ultrasound system (GE Healthcare, Milwaukee, WI, USA) and Mindray Resona 7(Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China), using a multifrequency curved array transducer. The CEUS examinations were performed in the light of WFUMB guidelines [[5]]. The FLL was selected as the region of interest using conventional US, select the abdomen model, the gain, dynamic range, depth gain compensation, depth, and focus were adjusted to optimize imaging, then shift the model to contrast imaging, using the default parameter (MI 0.1). The contrast agent used was the sulphur hexafluoride microbubbles (Shanghai Bracco Sine Pharmaceutical Corp. Ltd., Shanghai, China). During the procedure, 2.4 mL suspension liquid of sulphur hexafluoride microbubbles was administered by bolus injection from the antecubital vein via a 20-gauge catheter, and a flush of 5 mL 0.9%sodium chloride solution was followed. The imaging timer was started simultaneously with the injection of the sulphur hexafluoride microbubbles. The target lesion was imaged and observed for 5 minutes or longer. The CEUS imaging and representative images were saved in the US system and the Picture and Archiving and Communication Systems (PACS), and the dynamic video were exported to computer late for detailed analysis.

2.3 Image study and LI-RADS category assignment

All conventional US and CEUS images and examination application forms were assorted out from the PACS and marked by assistants. If a patient with several FFLs, only the target lesion (one or two representative lesions) was selected; if a patient underwent two and more times of CEUS, only the latest one was enrolled. The CEUS LI-RADS category assignment was performed by two sonologists (six years and eight years experiences in the liver CEUS assessment, respectively) who were blinded to the previous diagnosis in the PACS. They read the US and CEUS images with reference to CEUS LI-RADS (2017 version) independently; if no consensus was reached, they discussed to get a consensus [[5], [7]]. Inter-reader agreement of two sonologists was assessed by reading images of 60 FLLs selected randomly from the previous included patients. The CEUS features of FFLs were characterized as follows: (1) the number of lesions; (2) maximum diameter of the target lesion; (3) shape; (4) margin; (5) enhancement intensity (hyper-/iso-/hypo-) in different phases (time); (6) enhancement patterns of the lesion in the arterial phase (rim/homogeneous/heterogeneous/mosaic architecture, or nodule in nodule architecture; or/and tumor in vein); (7) onset time of enhancement; (8) washout time (≤60 s refers to early washout); (9) (if the lesion presented hyperenhancement and then washout) enhancement duration (washout time subtracts onset time); (10) tumor feeding artery; (11) boundary of non-enhanced area in the tumor (if it was present); and (12) substantial washout [[5], [7]]. HCC was defined as maximal diameter greater than 10 mm or more, typical hyperenhancement in arterial phase (not rim enhancement or peripheral discontinuous enhancement), and late washout (≥60 seconds) and mild degree of washout, which is also the definition of CEUS LR-5 [[7]].

2.4 Reference standards

Reference criteria for patients with FFLs categorized as CEUS LR-1 and LR-2 was contrast enhanced CT or MRI, and FFLs categorized as LR-1 and LR-2 were considered benign. FFLs categorized as CEUS LR-3 and LR-4 were evaluated with imaging follow-up or biopsy. FFLs that did not progress to a higher CEUS LR category at 3 times follow-up in 12 months were considered as benign; if FFL increased greater than 20%in size at follow-up, CEUS, further assessment with contrast enhanced CT or MRI, or biopsy was done. Inconclusive FFLs that developed to LR-5 at follow-up CEUS and contrast enhanced CT or MRI were considered to be HCC. Biopsy and histological analysis was used as reference criterium for patients with FFLs of CEUS LR-M. Patients with FFLs of CEUS LR-3 and LR-4 without histological diagnosis that remained inconclusive at follow-up contrast enhanced CT or MRI were ruled out (counted as exclusion patients). All FFLs categorized LR-5 after contrast enhanced CT and/or MRI assessment were considered to be HCC.

2.5 Statistical analysis

Noncontinuous parameters are presented as numbers and percentage. Continuous parameters are presented as mean±standard deviation. The diagnostic efficiencies of differentiating HCC from other FLLs [intrahepatic cholangiocarcinoma (ICC), other malignant lesions, and benign lesions] according to CEUS LI-RADS were assessed, the sensitivity, specificity, area under the Receiver Operating Characteristics curve (AUROC), positive predictive value, and negative predictive value were determined. The interobserver agreement between the two sonologists for rating of FLLs according to CEUS LI-RADS was calculated. The level of agreement was interpreted in accordance to the ranks for kappa value as follows: 0.0–0.20, poor agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, good agreement; and 0.81–1.00, excellent agreement [[21]]. A level of p value of < 0.05 was considered statistically significant. MedCalc version 19. 0.4 (MedCalc Software bvba, Ostend, Belgium) was used for the statistical analyses.

3 Ethics approval and consent to participate

The procedures followed at clinical practice were in accordance with the ethical standards of the institutional committee on human experimentation and with the World Medical Association Declaration of Helsinki (revised in 2000). Approval was obtained by the ethics committee of our hospital (2020–009) and written informed consent from patients was waived due to the retrospective design of the study.

4 Results

Assessment with reference to CEUS LI-RADS, 87 of 218 FLLs (39.9%) were categorized as LR-5, 131 of 218 FLLs (60.1%) were categorized as non-LR-5, 19 of 99 HCCs were categorized as non-LR-5, and 7 of 119 non-HCCs were categorized as LR-5, as shown in Table 1. The sensitivity, specificity, AUROC, positive and negative predictive values of CEUS LI-RADS for diagnosing HCC were 80.81%(95%CI: 71.7%–88.0%), 94.1%(95%CI: 88.3%–97.6%), 0.87 (95%CI: 0.82–0.92), 91.9%(95%CI: 84.1%–96.7%), and 85.5%(95%CI: 78.3%–91.0%), respectively. Distribution of CEUS LI-RADS categories and different FLLs are shown in Table 2. 12 of 99 HCCs (12.1%) and six of 10 ICCs (60%) occurred early washout (within 60 second). The inter-reader agreement between the two readers for rating of FLLs according to CEUS LI-RADS was excellent, with k values of 0.81 and 0.82, respectively. Figure 2 and 3 show CEUS features of FLLs and CEUS LI-RADS.

Table 2 Distribution of LI-RADS categories and different focal liver lesions

Benign lesionsHCCICCOther malignant lesions
LR-1 (n = 10)10000
LR-2 (n = 64)64000
LR-3 (n = 16)16000
LR-4 (n = 22)21704
LR-M (n = 18)0288
LR-5 (n = 87)08025
Total focal lesion (n = 218)92991017

HCC: hepatocellular carcinoma; ICC: Intrahepatic cholangiocarcinoma.

Graph: Fig. 2 A 45-year-old man with chronic hepatitis B and a focal liver lesion. On sonography, the focal lesion in the VI segment of the liver presents ovoid shaped, with ill-defined margin, homogeneous isoechogenicity, and the sectional size is 58 mm×55 mm (Fig. 2a, arrow). CEUS shows rapid arterial phase hyperenhancement (Fig. 2b and c, arrows, 9 s and 11 s), portal venous phase hypoenhancement (Fig. 2d, arrow, 55 s), and late phase slight hypoenhancement (Fig. 2e, arrow, 198 s). It was categorized as LI-RADS 5, and was assumed hepatocellular carcinoma (HCC). Contrast-enhanced CT and MRI verified it was LI-RADS 5 (HCC).

Graph: Fig. 3 A 61-year-old man with a focal liver lesion. On sonography, the focal lesion in the V segment of the liver presents ovoid shaped, with ill-defined margin, heterogeneous isoechogenicity, and the sectional size is 44.1 mm×33.8 mm (Fig. 3a, arrow). CEUS shows arterial phase rim hyperenhancement, central hypoenhancement and no-enhancement (Fig. 3b and c, arrows, 22 s and 38 s), portal venous phase rim slight hypoenhancement, and central hypoenhancement and no-enhancement (Fig. 3d, arrow, 89 s), and late phase rim slight hypoenhancement and central hypoenhancement and no-enhancement (Fig. 3e, arrow, 176 s). It was categorized as LI-RADS M, and was assumed hepatic sarcoma. Histopathology and immunohistochemistry confirmed it is intrahepatic cholangiocarcinoma.

5 Discussion

In the present study, CEUS LI-RADS demonstrated higher sensitivity, specificity, accuracy, and positive and negative predictive values for HCC evaluation; which is consistent with the study by Schellhaas et al., and does not agree with the study by Li et al. and Huang et al. [[10], [13], [15]]. The reasons may be that the sample population and lesion size are disparity. According to WFUMB guidelines, hypervascular perfusion is the predominant characteristic for HCC, and there is no consensus on diagnosis for hypovascular and atypical lesions [[10], [12], [14], [16]]. In routine practice, radiologists usually interpret the major features of FLLs and establish the diagnosis depending dominantly on WFUMB guidelines, however, some CEUS features of FLLs overlapped frequently with those of other pathologic lesions. The features of contrast agent imaging between well-differentiated HCC and high-grade dysplastic nodule may overlap [[25]]. The development of HCC is thought by several steps, and dysplastic nodule of high grade is usually a precursor of HCC [[26]]. Therefore, some dysplastic nodules may have similar enhancement patterns as that the well-differentiated small HCC. Some HCCs are primarily hypovascular and present atypical CEUS patterns mimicking regenerative nodules, and it's a challenge for diagnosis [[23]]. Some patients of ICC with chronic hepatitis B, if the lesions present CEUS features of annul iso-enhancement in arterial phase and mild washout in portal venous and late phases, it may be mistaken as a category of LR-5. The LR-M category indicates malignancy not specific for HCC, which usually requires biopsy for histological analysis, so if ICC can be accurately categorized as LR-M, the diagnostic value of CEUS LI-RADS is high, as is illustrated by Fig. 3. Compared with HCCs, ICCs exhibit less intense enhancement in the arterial phase and early washout (< 60 s) compared with the typically late and mild washout in HCCs [[5], [18], [25], [27]]. Our study findings that 12 of 99 HCCs (12.1%) and six of 10 ICCs (60%) occurred onset of washout before 60 second were partially agreed with it (Fig. 2 and 3). CEUS LR-4 was categorized those FLLs with high probability of HCC but not defined. Terzi et al. and Huang et al. reported a percentile of HCC of 48%(11 of 23) and 85.6%in LR-4 [[11], [15]]. However, our study showed a lower HCC percentile of 17.2%(17/99) in LR-4, the causes are probably that differences in the examined study sample (number, diameter) and/or underlying liver disease. Washout is an important feature of HCC, ICC and many other malignant lesions, however, some FLLs present atypical washout pattern, and this may lead to incorrect categorizing [[18], [20], [25], [28], [30]].

There were two caveats to this study. Firstly, the retrospective design, which may lose some CEUS features of FLLs. However, we took CEUS for FLLs seriously in routine practice, and the CEUS features of FLLs had been recorded as detail as possible, so little information was overlooked. Secondly, many FLLs had not got histopathologic results, especially for the FLLs of the LR-3, which might compromise the reference standards strength. Fortunately, no malignant lesion was found from lesions of LR-3 at follow-up.

Collectively, we conclude that ACR CEUS LI-RADS has very high diagnostic efficiency for FLLs of patients at risk of HCC. Nevertheless, the present diagnostic performance is still not perfect, and further study should be conducted in the future, e.g., to investigate CEUS LI-RADS in a larger patient cohort, with focus on the role of LR-4 and LR-M in the differential diagnosis of HCC; to determine features of HCC microvascularization using quantitative perfusion analysis of CEUS [[31]]; to validate and optimize tumor targeting contrast agents like BR55 [[32]].

Conflict of interest

The authors declare they have no conflict of interests.

Acknowledgments

This project was supported by the National Natural Science Foundation of China (Grant No. 81560290).

References 1 Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, et al. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer. 2019; 144 (8): 1941-53. 2 Allemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Nikšić M, et al. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018; 391 (10125): 1023-75. 3 Kulik L, El-Serag HB. Epidemiology and Management of Hepatocellular Carcinoma. Gastroenterology. 2019; 156 (2): 477-91.e1. 4 Heimbach JK, Kulik LM, Finn RS, Sirlin CB, Abecassis MM, Roberts LR, et al. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018; 67 (1): 358-80. 5 Dietrich CF, Nolsøe CP, Barr RG, Berzigotti A, Burns PN, Cantisani V, et al. Guidelines and Good Clinical Practice Recommendations for Contrast-Enhanced Ultrasound (CEUS) in the Liver-Update 2020 WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS. Ultrasound Med Biol. 2020; 46 (10): 2579-604. 6 Marschner CA, Zhang L, Schwarze V, Völckers W, Froelich MF, von Münchhausen N, et al. The diagnostic value of contrast-enhanced ultrasound (CEUS) for assessing hepatocellular carcinoma compared to histopathology; a retrospective single-center analysis of 119 patients 1. Clin Hemorheol Microcirc. 2020; 76 (4): 453-8. 7 Lyshchik A, Kono Y, Dietrich CF, Jang HJ, Kim TK, Piscaglia F, et al. Contrast-enhanced ultrasound of the liver: technical and lexicon recommendations from the ACR CEUS LI-RADS working group. Abdom Radiol (NY). 2018; 43 (4): 861-79. 8 Wilson SR, Lyshchik A, Piscaglia F, Cosgrove D, Jang HJ, Sirlin C, et al. CEUS LI-RADS: algorithm, implementation, and key differences from CT/MRI. Abdom Radiol (NY). 2018; 43 (1): 127-42. 9 Elsayes KM, Kielar AZ, Chernyak V, Morshid A, Furlan A, Masch WR, et al. LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance. J Hepatocell Carcinoma. 2019; 6: 49-69. Schellhaas B, Görtz RS, Pfeifer L, Kielisch C, Neurath MF, Strobel D. Diagnostic accuracy of contrast-enhanced ultrasound for the differential diagnosis of hepatocellular carcinoma: ESCULAP versus CEUS-LI-RADS. Eur J Gastroenterol Hepatol. 2017; 29 (9): 1036-44. Terzi E, Iavarone M, Pompili M, Veronese L, Cabibbo G, Fraquelli M, et al. Contrast ultrasound LI-RADS LR-5 identifies hepatocellular carcinoma in cirrhosis in a multicenter restropective study of 1,006 nodules. J Hepatol. 2018; 68 (3): 485-92. Ling W, Wang M, Ma X, Qiu T, Li J, Lu Q, et al. The preliminary application of liver imaging reporting and data system (LI-RADS) with contrast-enhanced ultrasound (CEUS) on small hepatic nodules (≤2cm). J Cancer. 2018; 9 (16): 2946-52. Li J, Ling W, Chen S, Ma L, Yang L, Lu Q, et al. The interreader agreement and validation of contrast-enhanced ultrasound liver imaging reporting and data system. Eur J Radiol. 2019; 120: 108685. Li F, Li Q, Liu Y, Han J, Zheng W, Huang Y, et al. Distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma in patients with and without risks: the evaluation of the LR-M criteria of contrast-enhanced ultrasound liver imaging reporting and data system version 2017. Eur Radiol. 2020; 30 (1): 461-70. Huang JY, Li JW, Lu Q, Luo Y, Lin L, Shi YJ, et al. Diagnostic Accuracy of CEUS LI-RADS for the Characterization of Liver Nodules 20 mm or Smaller in Patients at Risk for Hepatocellular Carcinoma. Radiology. 2020; 294 (2): 329-39. Son JH, Choi SH, Kim SY, Jang HY, Byun JH, Won HJ, et al. Validation of US Liver Imaging Reporting and Data System Version 2017 in Patients at High Risk for Hepatocellular Carcinoma. Radiology. 2019; 292 (2): 390-7. Abd Alkhalik Basha M, Abd El Aziz El Sammak D, El Sammak AA. Diagnostic efficacy of the Liver Imaging-Reporting and Data System (LI-RADS) with CT imaging in categorising small nodules (10-20 mm) detected in the cirrhotic liver at screening ultrasound. Clin Radiol. 2017; 72 (10): 901.e1-901.e11. Yang HK, Burns PN, Jang HJ, Kono Y, Khalili K, Wilson SR, et al. Contrast-enhanced ultrasound approach to the diagnosis of focal liver lesions: the importance of washout. Ultrasonography. 2019; 38 (4): 289-301. Zheng W, Li Q, Zou XB, Wang JW, Han F, Li F, et al. Evaluation of Contrast-enhanced US LI-RADS version 2017: Application on 2020 Liver Nodules in Patients with Hepatitis B Infection. Radiology. 2020; 294 (2): 299-307. Stocker D, Becker AS, Barth BK, Skawran S, Kaniewska M, Fischer MA, et al. Does quantitative assessment of arterial phase hyperenhancement and washout improve LI-RADS v2018-based classification of liver lesions?. Eur Radiol. 2020; 30 (5): 2922-33. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977; 33 (1): 159-74. Chen LD, Ruan SM, Liang JY, Yang Z, Shen SL, Huang Y, et al. Differentiation of intrahepatic cholangiocarcinoma from hepatocellular carcinoma in high-risk patients: A predictive model using contrast-enhanced ultrasound. World J Gastroenterol. 2018; 24 (33): 3786-98. Takahashi M, Maruyama H, Shimada T, Kamezaki H, Sekimoto T, Kanai F, et al. Characterization of hepatic lesions (< /=30mm) with liver-specific contrast agents: a comparison between ultrasound and magnetic resonance imaging. Eur J Radiol. 2013; 82 (1): 75-84. Leoni S, Piscaglia F, Granito A, Borghi A, Galassi M, Marinelli S, et al. Characterization of primary and recurrent nodules in liver cirrhosis using contrast-enhanced ultrasound: which vascular criteria should be adopted?. Ultraschall Med. 2013; 34 (3): 280-7. Boozari B, Soudah B, Rifai K, Schneidewind S, Vogel A, Hecker H, et al. Grading of hypervascular hepatocellular carcinoma using late phase of contrast enhanced sonography-a prospective study. Dig Liver Dis. 2011; 43 (6): 484-90. Sakamoto M, Hirohashi S, Shimosato Y. Early stages of multistep hepatocarcinogenesis: adenomatous hyperplasia and early hepatocellular carcinoma. Hum Pathol. 1991; 22 (2): 172-8. Kitao A, Zen Y, Matsui O, Gabata T, Nakanuma Y. Hepatocarcinogenesis: multistep changes of drainage vessels at CT during arterial portography and hepatic arteriography–radiologic-pathologic correlation. Radiology. 2009; 252 (2): 605-14. Han J, Liu Y, Han F, Li Q, Yan C, Zheng W, et al. The Degree of Contrast Washout on Contrast-Enhanced Ultrasound in Distinguishing Intrahepatic Cholangiocarcinoma from Hepatocellular Carcinoma. Ultrasound Med Biol. 2015; 41 (12): 3088-95. Wildner D, Bernatik T, Greis C, Seitz K, Neurath MF, Strobel D. CEUS in hepatocellular carcinoma and intrahepatic cholangiocellular carcinoma in 320 patients-early or late washout matters: a subanalysis of the DEGUM multicenter trial. Ultraschall Med. 2015; 36 (2): 132-9. Yuan MX, Li R, Zhang XH, Tang CL, Guo YL, Guo DY, et al. Factors Affecting the Enhancement Patterns of Intrahepatic Cholangiocarcinoma (ICC) on Contrast-Enhanced Ultrasound (CEUS) and their Pathological Correlations in Patients with a Single Lesion. Ultraschall Med. 2016; 37 (6): 609-18. Schaible J, Stroszczynski C, Beyer LP, Jung EM. Quantitative perfusion analysis of hepatocellular carcinoma using dynamic contrast enhanced ultrasound (CEUS) to determine tumor microvascularization. Clin Hemorheol Microcirc. 2019; 73 (1): 95-104. Bitterer F, Hornung M, Platz Batista da Silva N, Schlitt HJ, Stroszczynski C, Wege AK, Jung EM. In vivo detection of breast cancer liver metastases in humanized tumour mice using tumour specific contrast agent BR55®. Clin Hemorheol Microcirc. 2020; 76 (4): 559-72.

By Dongsheng Zuo; Kefeng Yang and Size Wu

Reported by Author; Author; Author

Titel:
Diagnostic performance of intravascular perfusion based contrast-enhanced ultrasound LI-RADS in the evaluation of hepatocellular carcinoma
Autor/in / Beteiligte Person: Yang, Kefeng ; Wu, Size ; Zuo, Dongsheng
Link:
Zeitschrift: Clinical Hemorheology and Microcirculation, Jg. 78 (2021-09-23), S. 429-437
Veröffentlichung: IOS Press, 2021
Medientyp: unknown
ISSN: 1875-8622 (print) ; 1386-0291 (print)
DOI: 10.3233/ch-211164
Schlagwort:
  • Carcinoma, Hepatocellular
  • Physiology
  • Contrast Media
  • Sensitivity and Specificity
  • 030218 nuclear medicine & medical imaging
  • 03 medical and health sciences
  • 0302 clinical medicine
  • Physiology (medical)
  • Positive predicative value
  • medicine
  • Humans
  • Retrospective Studies
  • Liver imaging
  • business.industry
  • Liver Neoplasms
  • Ultrasound
  • Hematology
  • medicine.disease
  • Magnetic Resonance Imaging
  • Perfusion
  • 030220 oncology & carcinogenesis
  • Hepatocellular carcinoma
  • Cardiology and Cardiovascular Medicine
  • business
  • Nuclear medicine
  • Contrast-enhanced ultrasound
Sonstiges:
  • Nachgewiesen in: OpenAIRE

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -