Liver Imaging Reporting and Data System: Review of Major Imaging Features

Cruite, Irene; Tang, An; Mamidipalli, Adrija; Shah, Amol; Santillan, Cynthia; Sirlin, Claude B.

doi:10.1053/j.ro.2016.05.003

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…By necessity, the creation of LI-RADS preceded clinical validation, and the supporting evidence is just now emerging (8,(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54). Evidence supporting each LI-RADS major feature of HCC is reported in a systematic review and is summarized in this ar- for many questions in HCC imaging.…”

Section: Li-rads: Emerging Evidencementioning

confidence: 99%

Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients

et al. 2018

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The Liver Imaging Reporting and Data System (LI-RADS) is composed of four individual algorithms intended to standardize the lexicon, as well as reporting and care, in patients with or at risk for hepatocellular carcinoma in the context of surveillance with US; diagnosis with CT, MRI, or contrast material-enhanced US; and assessment of treatment response with CT or MRI. This report provides a broad overview of LI-RADS, including its historic development, relationship to other imaging guidelines, composition, aims, and future directions. In addition, readers will understand the motivation for and key components of the 2018 update.

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Section: Li-rads: Emerging Evidencementioning

confidence: 99%

Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients

et al. 2018

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“…Unlike combinations of major features that can be used to establish a definite diagnosis of HCC (ie, LR-5), ancillary features alone cannot be used to definitely diagnose HCC because they lack the required specificity (15)(16)(17).…”

Section: Ancillary Featuresmentioning

confidence: 99%

LI-RADS Version 2018 Ancillary Features at MRI

Cerny¹,

Chernyak²,

Olivié³

et al. 2018

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“…Son signos auxiliares en el diagnóstico del HCC la hiperintensidad en secuencias ponderadas en T2, la presencia de grasa y el crecimiento entre intervalos en los estudios de seguimiento. Cuando las características típicas están presentes en las imágenes, el HCC puede ser diagnosticado y tratado con confianza, sin necesidad de confirmación histológica 13,14 .…”

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Presentaciones infrecuentes y atípicas del carcinoma hepatocelular en tomografía computarizada y resonancia magnética

Espil¹,

Altieri²,

Bustamante³

et al. 2022

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La apariencia en imágenes típicas del carcinoma hepatocelular (HCC) es ampliamente reconocida y consiste en hiperrealce en fase arterial con lavado en las fases venosa portal y tardía, tanto en tomografía computada como en resonancia magnética. Este patrón se observa en el 60% de los casos y se ha incorporado en las directrices diagnósticas de las diferentes organizaciones que participan en el estudio de las enfermedades hepáticas y su presencia evita la necesidad de una biopsia. Además, son signos auxiliares útiles en el diagnóstico del HCC la hiperintensidad en secuencias ponderadas en T2, la presencia de grasa, la trombosis tumoral venosa y el crecimiento entre intervalos en los estudios de seguimiento. Sin embargo, no todos los pacientes con HCC presentan estas características y en el 40% de los casos las presentaciones atípicas plantean un reto diagnóstico y de manejo de los pacientes.

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Liver Imaging Reporting and Data System: Review of Major Imaging Features

Cited by 6 publications

References 35 publications

Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients

Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients

LI-RADS Version 2018 Ancillary Features at MRI

Presentaciones infrecuentes y atípicas del carcinoma hepatocelular en tomografía computarizada y resonancia magnética

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