Is there a causal relationship between genetic changes and radiomics-based image features? An in vivo preclinical experiment with doxycycline inducible GADD34 tumor cells

Radiotherapy and Oncology

Volumn 116, Issue 3, 2015, Pages 462-466

  Panth, Kranthi Marella ^a   Leijenaar, Ralph T H ^a   Carvalho, Sara ^a   Lieuwes, Natasja G ^a   Yaromina, Ala ^a   Dubois, Ludwig ^a   Lambin, Philippe ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

CT imaging; Preclinical; Radiogenomics; Radiotherapy

Indexed keywords

DOXYCYCLINE; GROWTH ARREST AND DNA DAMAGE INDUCIBLE PROTEIN 34; GROWTH ARREST AND DNA DAMAGE INDUCIBLE PROTEIN 45; UNCLASSIFIED DRUG; PHOSPHOPROTEIN PHOSPHATASE 1; PPP1R15A PROTEIN, MOUSE;

ANIMAL EXPERIMENT; CELL GROWTH; COMPUTER ASSISTED TOMOGRAPHY; CONFERENCE PAPER; CONTROLLED STUDY; GENE EXPRESSION; GENE INDUCTION; HCT116 CELL LINE; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IRRADIATION; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RADIOBIOLOGY; RADIOMICS; RADIOTHERAPY; TEST RETEST RELIABILITY; TUMOR VOLUME; TUMOR XENOGRAFT; ANIMAL; CANCER TRANSPLANTATION; COLORECTAL NEOPLASMS; GENETICS; GENOMICS; GENOTYPE; INBRED MOUSE STRAIN; METABOLISM; OBSERVER VARIATION; PHENOTYPE; PROCEDURES; RADIOGRAPHY; XENOGRAFT;

ANIMALS; COLORECTAL NEOPLASMS; DOXYCYCLINE; GENOMICS; GENOTYPE; HCT116 CELLS; HETEROGRAFTS; HUMANS; MICE; MICE, INBRED STRAINS; NEOPLASM TRANSPLANTATION; OBSERVER VARIATION; PHENOTYPE; PROTEIN PHOSPHATASE 1; TOMOGRAPHY, X-RAY COMPUTED; TRANSPLANTATION, HETEROLOGOUS; TUMOR BURDEN;

EID: 84944174994     PISSN: 01678140     EISSN: 18790887     Source Type: Journal    
DOI: 10.1016/j.radonc.2015.06.013     Document Type: Conference Paper

References (22)

1. P. Lambin, R.G.P.M. van Stiphout, M.H.W. Starmans, and et al. Predicting outcomes in radiation oncology - multifactorial decision support systems Nat Rev Clin Oncol 10 2013 27 40
2. L. Chin, J.N. Andersen, and P.A. Futreal Cancer genomics: from discovery science to personalized medicine Nat Med 17 2011 297 303
3. S. Lee, W.B. de Boer, S. Fermoyle, M. Platten, and M.P. Kumarasinghe Human epidermal growth factor receptor 2 testing in gastric carcinoma: issues related to heterogeneity in biopsies and resections Histopathology 59 2011 832 840
4. E.T. Ruijter, Van. De, C.A. Kaa, J.A. Schalken, F.M. Debruyne, and D.J. Ruiter Histological grade heterogeneity in multifocal prostate cancer. Biological and clinical implications J Pathol 180 1996 295 299
5. M. Rudin, and R. Weissleder Molecular imaging in drug discovery and development Nat Rev Drug Discov 2 2003 123 131
6. P. Lambin, E. Rios-Velazquez, R. Leijenaar, and et al. Radiomics: extracting more information from medical images using advanced feature analysis Eur J Cancer 48 2012 441 446
7. H.J.W.L. Aerts, E.R. Velazquez, and R.T.H. Leijenaar Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Nat Commun 5 2014
8. E.R. Velazquez, C. Parmar, and M. Jermoumi Volumetric CT-based segmentation of NSCLC using 3D-Slicer Sci Rep 3 2013
9. T.P. Coroller, P. Grossmann, Y. Hou, and et al. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Radiother Oncol 114 2015 345 350
10. E. Segal, C.B. Sirlin, C. Ooi, and et al. Decoding global gene expression programs in liver cancer by noninvasive imaging Nat Biotech 25 2007 675 680
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 821 830
12. K.M. Rouschop, L.J. Dubois, T.G. Keulers, and et al. PERK/eIF2α signaling protects therapy resistant hypoxic cells through induction of glutathione synthesis and protection against ROS Proc Natl Acad Sci 110 2013 4622 4627
13. S.J. van Hoof, P.V. Granton, and F. Verhaegen Development and validation of a treatment planning system for small animal radiotherapy: SmART-Plan Radiother Oncol 109 2013 361 366
14. J.O. Deasy, A.I. Blanco, and V.H. Clark CERR: a computational environment for radiotherapy research Med Phys 30 2003 979 985
15. R.T.H. Leijenaar, S. Carvalho, E.R. Velazquez, and et al. Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability Acta Oncol 52 2013 1391 1397
16. P.E. Shrout, and J.L. Fleiss Intraclass correlations: uses in assessing rater reliability Psychol Bull 86 1979 420 428
17. J.M. Bland, and D.G. Altman Agreement between methods of measurement with multiple observations per individual J Biopharm Stat 17 2007 571 582
18. S. Chicklore, V. Goh, M. Siddique, A. Roy, P. Marsden, and G.R. Cook Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis Eur J Nucl Med Mol Imaging 40 2013 133 140
19. C. Parmar, E. Rios Velazquez, R. Leijenaar, and et al. Robust radiomics feature quantification using semiautomatic volumetric segmentation PLoS ONE 9 2014 e102107
20. V. Kumar, Y. Gu, S. Basu, and et al. Radiomics: the process and the challenges Magn Reson Imaging 30 2012 1234 1248
21. S. Carvalho, R.T.H. Leijenaar, E.R. Velazquez, and et al. Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer Acta Oncol 52 2013 1398 1404
22. J. Moulder, and S. Rockwell Tumor hypoxia: its impact on cancer therapy Cancer Metastasis Rev 5 1987 313 341