TY - JOUR
T1 - Radiogenomics and radiomics in liver cancers
AU - Saini, Aman
AU - Breen, Ilana
AU - Pershad, Yash
AU - Naidu, Sailendra
AU - Knuttinen, M. Grace
AU - Alzubaidi, Sadeer
AU - Sheth, Rahul
AU - Albadawi, Hassan
AU - Kuo, Malia
AU - Oklu, Rahmi
N1 - Publisher Copyright:
© 2018 by the authors.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile. A different, but related field termed radiomics examines the extraction of quantitative data from imaging data and the subsequent combination of these data with clinical information in an attempt to provide prognostic information and guide clinical decision making. Together, these fields represent the evolution of biomedical imaging from a descriptive, qualitative specialty to a predictive, quantitative discipline. It is anticipated that radiomics and radiogenomics will not only identify pathologic processes, but also unveil their underlying pathophysiological mechanisms through clinical imaging alone. Here, we review recent studies on radiogenomics and radiomics in liver cancers, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma, and metastases to the liver.
AB - Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile. A different, but related field termed radiomics examines the extraction of quantitative data from imaging data and the subsequent combination of these data with clinical information in an attempt to provide prognostic information and guide clinical decision making. Together, these fields represent the evolution of biomedical imaging from a descriptive, qualitative specialty to a predictive, quantitative discipline. It is anticipated that radiomics and radiogenomics will not only identify pathologic processes, but also unveil their underlying pathophysiological mechanisms through clinical imaging alone. Here, we review recent studies on radiogenomics and radiomics in liver cancers, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma, and metastases to the liver.
KW - Hepatocellular carcinoma
KW - Intrahepatic cholangiocarcinoma
KW - Liver metastasis
KW - Radiogenomics
KW - Radiomics
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U2 - 10.3390/diagnostics9010004
DO - 10.3390/diagnostics9010004
M3 - Review article
AN - SCOPUS:85064588284
SN - 2075-4418
VL - 9
JO - Diagnostics
JF - Diagnostics
IS - 1
M1 - 4
ER -