Radiomics: Extracting more information from medical images using advanced feature analysis

European Journal of Cancer

Volumn 48, Issue 4, 2012, Pages 441-446

  Lambin, Philippe ^a   Rios Velazquez, Emmanuel ^a   Leijenaar, Ralph ^a   Carvalho, Sara ^a   Van Stiphout, Ruud G P M ^a   Granton, Patrick ^a   Zegers, Catharina M L ^a   Gillies, Robert ^b   Boellard, Ronald ^c   Dekker, André ^a   Aerts, Hugo J W L ^a,d  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Imaging; Intra tumour heterogeneity; Radiomics; Tumour

Indexed keywords

FLUORODEOXYGLUCOSE;

ARTICLE; AUTOMATION; CANCER DIAGNOSIS; CANCER GENETICS; CLINICAL PROTOCOL; COMPUTER ASSISTED DIAGNOSIS; CONTRAST ENHANCEMENT; DIAGNOSTIC IMAGING; HIGH THROUGHPUT SCREENING; HUMAN; MEDICAL DEVICE; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; PROTEOMICS; QUANTITATIVE ANALYSIS; RADIODIAGNOSIS; REPRODUCIBILITY; STANDARDIZATION; VALIDATION STUDY;

ALGORITHMS; DIAGNOSTIC IMAGING; GENOMICS; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PROTEOMICS; RADIOACTIVE TRACERS; RADIOMETRY;

EID: 84857037061     PISSN: 09598049     EISSN: 18790852     Source Type: Journal    
DOI: 10.1016/j.ejca.2011.11.036     Document Type: Article

References (21)

1. P. Lambin The ESTRO Breur Lecture 2009. From population to voxel-based radiotherapy: exploiting intra-tumour and intra-organ heterogeneity for advanced treatment of non-small cell lung cancer Radiother Oncol 96 2010 145 152
2. L. Fass Imaging and cancer: a review Mol Oncol 2 2008 115 152
3. E.A. Eisenhauer New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1) Eur J Cancer 45 2009 228 247
4. A. van Baardwijk The maximum uptake of (18)F-deoxyglucose on positron emission tomography scan correlates with survival, hypoxia inducible factor-1alpha and GLUT-1 in non-small cell lung cancer Eur J Cancer 43 2007 1392 1398
5. T. Berghmans Primary tumor standardized uptake value (SUVmax) measured on fluorodeoxyglucose positron emission tomography (FDG-PET) is of prognostic value for survival in non-small cell lung cancer (NSCLC): a systematic review and meta-analysis (MA) by the European Lung Cancer Working Party for the IASLC Lung Cancer Staging Project J Thorac Oncol 3 2008 6 12
6. M. Paesmans Primary tumor standardized uptake value measured on fluorodeoxyglucose positron emission tomography is of prognostic value for survival in non-small cell lung cancer: update of a systematic review and meta-analysis by the European Lung Cancer Working Party for the International Association for the Study of Lung Cancer Staging Project J Thorac Oncol 5 2010 612 619
7. H.J.W.L. Aerts Disparity between in vivo EGFR expression and 89Zr-labeled cetuximab uptake assessed with PET J Nucl Med 50 2009 123 131
8. H. Li Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset Acad Radiol 15 2008 1437 1445
9. T. Van Meter Microarray analysis of MRI-defined tissue samples in glioblastoma reveals differences in regional expression of therapeutic targets Diagn Mol Pathol 15 2006 195 205 (Pubitemid 44813658)
10. S.K. Hobbs Magnetic resonance image-guided proteomics of human glioblastoma multiforme J Magn Reson Imaging 18 2003 530 536 (Pubitemid 37339797)
11. M.D. Kuo, J. Gollub, C.B. Sirlin, C. Ooi, and X. Chen Radiogenomic analysis to identify imaging phenotypes associated with drug response gene expression programs in hepatocellular carcinoma J Vasc Interv Radiol 18 2007 821 831
12. A.M. Rutman, and M.D. Kuo Radiogenomics: creating a link between molecular diagnostics and diagnostic imaging Eur J Radiol 70 2009 232 241
13. J.P.B. O'Connor Enhancing fraction predicts clinical outcome following first-line chemotherapy in patients with epithelial ovarian carcinoma Clin Cancer Res 13 2007 6130 6135 (Pubitemid 350075072)
14. Dehing-Oberije C et al. Development and validation of a prognostic model using blood biomarker information for prediction of survival of non-small-cell lung cancer patients treated with combined chemotherapy and radiation or radiotherapy alone (NCT00181519, NCT00573040, and NCT00572325). Int J Radiat Oncol Biol Phys 2010. doi:10.1016/j.ijrobp.2010.06.011.
15. I. El Naqa Exploring feature-based approaches in PET images for predicting cancer treatment outcomes Pattern Recognit 42 2009 1162 1171
16. F. Tixier Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer J Nucl Med 52 2011 369 378
17. P.E. Galavis, C. Hollensen, N. Jallow, B. Paliwal, and R. Jeraj Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters Acta Oncol 49 2010 1012 1016
18. P.J. Campbell The patterns and dynamics of genomic instability in metastatic pancreatic cancer Nature 467 2010 1109 1113
19. A. Jackson, J.P.B. O'Connor, G.J.M. Parker, and G.C. Jayson Imaging tumor vascular heterogeneity and angiogenesis using dynamic contrast-enhanced magnetic resonance imaging Clin Cancer Res 13 2007 3449 3459 (Pubitemid 46955104)
20. M. Diehn Identification of noninvasive imaging surrogates for brain tumor gene-expression modules Proc Natl Acad Sci U S A 105 2008 5213 5218 (Pubitemid 351738536)
21. E. Segal Decoding global gene expression programs in liver cancer by noninvasive imaging Nat Biotechnol 25 2007 675 680 (Pubitemid 46897204)