Focal Lesions of the Liver and Radiomics: What Do We Know?

被引:1
作者
Anichini, Matilde [1 ]
Galluzzo, Antonio [1 ]
Danti, Ginevra [1 ]
Grazzini, Giulia [1 ]
Pradella, Silvia [1 ]
Treballi, Francesca [1 ]
Bicci, Eleonora [1 ]
机构
[1] Careggi Univ Hosp, Dept Radiol, Largo Brambilla 3, I-50134 Florence, Italy
关键词
liver; contrast-enhanced computed tomography (CT); contrast-enhanced magnetic resonance (MRI); radiomics; texture features; ACID-ENHANCED MRI; HEPATOCELLULAR-CARCINOMA; TEXTURE ANALYSIS; CT TEXTURE; NODULAR HYPERPLASIA; PREOPERATIVE PREDICTION; MICROVASCULAR INVASION; TUMOR HETEROGENEITY; HEPATOBILIARY PHASE; DIFFERENTIATION;
D O I
10.3390/diagnostics13152591
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Despite differences in pathological analysis, focal liver lesions are not always distinguishable in contrast-enhanced magnetic resonance imaging (MRI), contrast-enhanced computed tomography (CT), and positron emission tomography (PET). This issue can cause problems of differential diagnosis, treatment, and follow-up, especially in patients affected by HBV/HCV chronic liver disease or fatty liver disease. Radiomics is an innovative imaging approach that extracts and analyzes non-visible quantitative imaging features, supporting the radiologist in the most challenging differential diagnosis when the best-known methods are not conclusive. The purpose of this review is to evaluate the most significant CT and MRI texture features, which can discriminate between the main benign and malignant focal liver lesions and can be helpful to predict the response to pharmacological or surgical therapy and the patient's prognosis.
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页数:15
相关论文
共 81 条
  • [1] Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis
    Ahn, Su Joa
    Kim, Jung Hoon
    Park, Sang Joon
    Han, Joon Koo
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (10) : 1867 - 1874
  • [2] TEXTURAL FEATURES CORRESPONDING TO TEXTURAL PROPERTIES
    AMADASUN, M
    KING, R
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1989, 19 (05): : 1264 - 1274
  • [3] Texture in the monitoring of regorafenib therapy in patients with colorectal liver metastases
    Andersen, Iben R.
    Thorup, Kennet
    Andersen, Michael B.
    Olesen, Rene
    Mortensen, Frank, V
    Nielsen, Dennis T.
    Rasmussen, Finn
    [J]. ACTA RADIOLOGICA, 2019, 60 (09) : 1084 - 1093
  • [4] [Anonymous], 2018, LIV IM REP DAT SYST
  • [5] [Anonymous], 2008, WORLD ACAD SCI ENG T
  • [6] Imaging of liver cancer
    Ariff, Ben
    Lloyd, Claire R.
    Khan, Sameer
    Shariff, Mohamed
    Thillainayagam, Andrew V.
    Bansi, Devinder S.
    Khan, Shahid A.
    Taylor-Robinson, Simon D.
    Lim, Adrian K. P.
    [J]. WORLD JOURNAL OF GASTROENTEROLOGY, 2009, 15 (11) : 1289 - 1300
  • [7] Texture segmentation using wavelet transform
    Arivazhagan, S
    Ganesan, L
    [J]. PATTERN RECOGNITION LETTERS, 2003, 24 (16) : 3197 - 3203
  • [8] PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis
    Bianchini, Linda
    Botta, Francesca
    Origgi, Daniela
    Rizzo, Stefania
    Mariani, Manuel
    Summers, Paul
    Garcia-Polo, Pablo
    Cremonesi, Marta
    Lascialfari, Alessandro
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2020, 71 : 71 - 81
  • [9] Bosman F. T., 2010, WHO classification of tumours of the digestive system
  • [10] Focal nodular hyperplasia: CT findings with emphasis on multiphasic helical CT in 78 patients
    Brancatelli, G
    Federle, MP
    Grazioli, L
    Blachar, A
    Peterson, MS
    Thaete, L
    [J]. RADIOLOGY, 2001, 219 (01) : 61 - 68