2017
DOI: 10.1111/liv.13611
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Liver elastography malignancy prediction score for noninvasive characterization of focal liver lesions

Abstract: The comprehensive approach demonstrated in this study enables correct differentiation of benign and malignant FLL in 96% of patients by using RT-2D-SWE.

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Cited by 30 publications
(42 citation statements)
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“…These findings can be explained from the histopathological point of view that malignant FLLs having higher cellularity, while benign lesions, such as hemangiomas, are composed of sinusoids [8]. In liver tumors, the architecture of tissue between benign and malignant FLLs can be totally different due to necrosis, hemorrhage, or colloid, such as in hemangioma or metastasis [17,34,35]. As previously reported, dispersion slope is more useful than shear-wave speed for predicting the degree of necroinflammation [27].…”
Section: Discussionmentioning
confidence: 69%
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“…These findings can be explained from the histopathological point of view that malignant FLLs having higher cellularity, while benign lesions, such as hemangiomas, are composed of sinusoids [8]. In liver tumors, the architecture of tissue between benign and malignant FLLs can be totally different due to necrosis, hemorrhage, or colloid, such as in hemangioma or metastasis [17,34,35]. As previously reported, dispersion slope is more useful than shear-wave speed for predicting the degree of necroinflammation [27].…”
Section: Discussionmentioning
confidence: 69%
“…For malignant tumors, metastasis tumors showed the highest viscosity value. This might be explained by the significantly heterogeneous internal structure of metastasis liver lesions [17,35]. Necrosis, hemorrhage, and peliosis, which are frequent features of HCC, probably play a major role in the viscosity of these tumors as well as the occurrence of some fibrotic bands [15,18].…”
Section: Discussionmentioning
confidence: 99%
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“…For instance, hepatocellular carcinoma (HCC) commonly develops in cirrhotic livers and both the tumour and the non-infiltrated liver may be assessed by elastography during the same examination [34]. By using this approach liver elastography malignancy prediction (LEMP) score has recently been proposed and it was able to differentiate between benign and malignant tumours in 96.1% of cases [35]. This algorithm overcomes the limitations of elastography when only mean tumour stiffness is used.…”
Section: Characterization Of Liver Tumoursmentioning
confidence: 99%
“…In addition, the heterogeneity of tumour stiffness is appreciated and is also incorporated into the LEMP formula. A more simplified approach uses only dichotomized values of mean tumour stiffness (14 and 32.5 kPa) with a 96% negative and positive predictive value for malignancy, which is applicable in 55.6% of the patients, whereas 44.4% remain in the "grey zone" between these cut-off points [35]. Although innovative, this elastographic approach to FLL is time consuming, and should be validated in independent cohort.…”
Section: Characterization Of Liver Tumoursmentioning
confidence: 99%