Applications and limitations of radiomics

被引:952
作者
Yip, Stephen S. F. [1 ,2 ]
Aerts, Hugo J. W. L. [1 ,2 ,3 ]
机构
[1] Brigham & Womens Hosp, Dept Radiat Oncol, Dana Farber Canc Inst, 75 Francis St, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Boston, MA USA
[3] Dana Farber Canc Inst, Dept Radiol, Boston, MA 02115 USA
关键词
PET; quantitative imaging; radiomics; CELL LUNG-CANCER; TRACER UPTAKE HETEROGENEITY; STANDARDIZED UPTAKE VALUES; F-18-FDG PET/CT IMAGES; TUMOR TEXTURE ANALYSIS; CONTRAST-ENHANCED MRI; ESOPHAGEAL CANCER; FDG UPTAKE; PATHOLOGICAL RESPONSE; PULMONARY NODULES;
D O I
10.1088/0031-9155/61/13/R150
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized medicine. In this technical review, we describe applications and challenges of the radiomic field. We will review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
引用
收藏
页码:R150 / R166
页数:17
相关论文
共 119 条
[81]   Assessment of tumor heterogeneity by CT texture analysis: Can the largest cross-sectional area be used as an alternative to whole tumor analysis? [J].
Ng, Francesca ;
Kozarski, Robert ;
Ganeshan, Balaji ;
Goh, Vicky .
EUROPEAN JOURNAL OF RADIOLOGY, 2013, 82 (02) :342-348
[82]   Quantitative Analysis of Lesion Morphology and Texture Features for Diagnostic Prediction in Breast MRI [J].
Nie, Ke ;
Chen, Jeon-Hor ;
Yu, Hon J. ;
Chu, Yong ;
Nalcioglu, Orhan ;
Su, Min-Ying .
ACADEMIC RADIOLOGY, 2008, 15 (12) :1513-1525
[83]   Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards [J].
Nyflot, Matthew J. ;
Yang, Fei ;
Byrd, Darrin ;
Bowen, Stephen R. ;
Sandison, George A. ;
Kinahan, Paul E. .
JOURNAL OF MEDICAL IMAGING, 2015, 2 (04)
[84]   Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis [J].
Orlhac, Fanny ;
Soussan, Michael ;
Maisonobe, Jacques-Antoine ;
Garcia, Camilo A. ;
Vanderlinden, Bruno ;
Buvat, Irene .
JOURNAL OF NUCLEAR MEDICINE, 2014, 55 (03) :414-422
[85]   Machine Learning methods for Quantitative Radiomic Biomarkers [J].
Parmar, Chintan ;
Grossmann, Patrick ;
Bussink, Johan ;
Lambin, Philippe ;
Aerts, Hugo J. W. L. .
SCIENTIFIC REPORTS, 2015, 5
[86]   Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer [J].
Parmar, Chintan ;
Leijenaar, Ralph T. H. ;
Grossmann, Patrick ;
Velazquez, Emmanuel Rios ;
Bussink, Johan ;
Rietveld, Derek ;
Rietbergen, Michelle M. ;
Haibe-Kains, Benjamin ;
Lambin, Philippe ;
Aerts, Hugo J. W. L. .
SCIENTIFIC REPORTS, 2015, 5
[87]   Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation [J].
Parmar, Chintan ;
Velazquez, Emmanuel Rios ;
Leijenaar, Ralph ;
Jermoumi, Mohammed ;
Carvalho, Sara ;
Mak, Raymond H. ;
Mitra, Sushmita ;
Shankar, B. Uma ;
Kikinis, Ron ;
Haibe-Kains, Benjamin ;
Lambin, Philippe ;
Aerts, Hugo J. W. L. .
PLOS ONE, 2014, 9 (07)
[88]   Analysis of parametric histogram from dynamic contrast-enhanced MRI: application in evaluating brain tumor response to radiotherapy [J].
Peng, Shin-Lei ;
Chen, Chih-Feng ;
Liu, Ho-Ling ;
Lui, Chun-Chung ;
Huang, Yu-Jie ;
Lee, Tsung-Han ;
Chang, Chiung-Chih ;
Wang, Fu-Nien .
NMR IN BIOMEDICINE, 2013, 26 (04) :443-450
[89]   FRACTAL-BASED DESCRIPTION OF NATURAL SCENES [J].
PENTLAND, AP .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (06) :661-674
[90]   Pulmonary nodule characterization: A comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps [J].
Petkovska, Iva ;
Shah, Sumit K. ;
McNitt-Gray, Michael F. ;
Goldin, Jonathan G. ;
Brown, Matthew S. ;
Kim, Hyun J. ;
Brown, Kathleen ;
Aberle, Denise R. .
EUROPEAN JOURNAL OF RADIOLOGY, 2006, 59 (02) :244-252