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Volumn 5, Issue , 2015, Pages

Radiomic feature clusters and Prognostic Signatures specific for Lung and Head &neck cancer

Author keywords

[No Author keywords available]

Indexed keywords

TUMOR MARKER;

EID: 84938850455     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep11044     Document Type: Article
Times cited : (375)

References (31)
  • 1
    • 33845337658 scopus 로고    scopus 로고
    • Genomics and proteomics: Emerging technologies in clinical cancer research
    • Chung, C. H., Levy, S., Chaurand, P. & Carbone, D. P. Genomics and proteomics: emerging technologies in clinical cancer research. Crit. Rev. Oncol. Hemat. 61, 1-25 (2007).
    • (2007) Crit. Rev. Oncol. Hemat. , vol.61 , pp. 1-25
    • Chung, C.H.1    Levy, S.2    Chaurand, P.3    Carbone, D.P.4
  • 2
    • 84867138623 scopus 로고    scopus 로고
    • Promise and pitfalls of quantitative imaging in oncology clinical trials
    • Kurland, B. F. et al. Promise and pitfalls of quantitative imaging in oncology clinical trials. Magn. Reson. Imaging 30, 1301-1312 (2012).
    • (2012) Magn. Reson. Imaging , vol.30 , pp. 1301-1312
    • Kurland, B.F.1
  • 3
    • 79956312010 scopus 로고    scopus 로고
    • Quantitative imaging test approval and biomarker qualification: Interrelated but distinct activities
    • Buckler, A. J., Bresolin, L., Dunnick, N. R. & Sullivan, D. C. Quantitative imaging test approval and biomarker qualification: interrelated but distinct activities. Radiology 259, 875-884 (2011).
    • (2011) Radiology , vol.259 , pp. 875-884
    • Buckler, A.J.1    Bresolin, L.2    Dunnick, N.R.3    Sullivan, D.C.4
  • 4
    • 79952309367 scopus 로고    scopus 로고
    • A collaborative enterprise for multi-stakeholder participation in the advancement of quantitative imaging
    • Buckler, A. J., Bresolin, L., Dunnick, N. R. & Sullivan, D. C. A collaborative enterprise for multi-stakeholder participation in the advancement of quantitative imaging. Radiology 258, 906-914 (2011).
    • (2011) Radiology , vol.258 , pp. 906-914
    • Buckler, A.J.1    Bresolin, L.2    Dunnick, N.R.3    Sullivan, D.C.4
  • 5
    • 77956672580 scopus 로고    scopus 로고
    • A pilot study of volume measurement as a method of tumor response evaluation to aid biomarker development
    • Zhao, B. et al. A pilot study of volume measurement as a method of tumor response evaluation to aid biomarker development. Clin. Cancer Res. 16, 4647-4653 (2010).
    • (2010) Clin. Cancer Res. , vol.16 , pp. 4647-4653
    • Zhao, B.1
  • 6
    • 60049100489 scopus 로고    scopus 로고
    • Early changes in tumor size in patients treated for advanced stage nonsmall cell lung cancer do not correlate with survival
    • Birchard, K. R., Hoang, J. K., Herndon, J. E. & Patz, E. F. Early changes in tumor size in patients treated for advanced stage nonsmall cell lung cancer do not correlate with survival. Cancer 115, 581-586 (2009).
    • (2009) Cancer , vol.115 , pp. 581-586
    • Birchard, K.R.1    Hoang, J.K.2    Herndon, J.E.3    Patz, E.F.4
  • 7
    • 84857037061 scopus 로고    scopus 로고
    • Radiomics: Extracting more information from medical images using advanced feature analysis
    • Lambin, P. et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur. J. Cancer 48, 441-446 (2012).
    • (2012) Eur. J. Cancer , vol.48 , pp. 441-446
    • Lambin, P.1
  • 8
    • 84867139157 scopus 로고    scopus 로고
    • Radiomics: The process and the challenges
    • Kumar, V. et al. Radiomics: the process and the challenges. Magn. Reson. Imaging 30, 1234-1248 (2012).
    • (2012) Magn. Reson. Imaging , vol.30 , pp. 1234-1248
    • Kumar, V.1
  • 9
    • 84871609385 scopus 로고    scopus 로고
    • Predicting outcomes in radiation oncology - Multifactorial decision support systems
    • Lambin, P. et al. Predicting outcomes in radiation oncology - multifactorial decision support systems. Nat. Rev. Clin. Oncol. 10, 27-40 (2012).
    • (2012) Nat. Rev. Clin. Oncol. , vol.10 , pp. 27-40
    • Lambin, P.1
  • 10
    • 59149105325 scopus 로고    scopus 로고
    • Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
    • El Naqa, I. et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recogn. 42, 1162-1171 (2009).
    • (2009) Pattern Recogn. , vol.42 , pp. 1162-1171
    • El Naqa, I.1
  • 11
    • 79952788113 scopus 로고    scopus 로고
    • Intra-tumor heterogeneity on baseline 18F-FDG PET images characterized by textural features predicts response to concomitant radio-chemotherapy in eosophageal cancer
    • Tixier, F. et al. Intra-tumor heterogeneity on baseline 18F-FDG PET images characterized by textural features predicts response to concomitant radio-chemotherapy in eosophageal cancer. J. Nucl. Med. 52, 369-378 (2011).
    • (2011) J. Nucl. Med. , vol.52 , pp. 369-378
    • Tixier, F.1
  • 12
    • 84857636637 scopus 로고    scopus 로고
    • Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer
    • Vaidya, M. et al. Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer. Radiother. Oncol. 102, 239-245 (2012).
    • (2012) Radiother. Oncol. , vol.102 , pp. 239-245
    • Vaidya, M.1
  • 13
    • 84861459453 scopus 로고    scopus 로고
    • Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: A potential marker of survival
    • Ganeshan, B., Panayiotou, E., Burnand, K., Dizdarevic, S. & Miles, K. Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur. Radiol. 22, 796-802 (2012).
    • (2012) Eur. Radiol. , vol.22 , pp. 796-802
    • Ganeshan, B.1    Panayiotou, E.2    Burnand, K.3    Dizdarevic, S.4    Miles, K.5
  • 14
    • 84937640437 scopus 로고    scopus 로고
    • Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients
    • Nicolasjilwan, M. et al. Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients. J. Neuroradiol. doi: 10.1016/j.neurad.2014.02.006 (2014)
    • (2014) J. Neuroradiol.
    • Nicolasjilwan, M.1
  • 15
    • 77957909316 scopus 로고    scopus 로고
    • Texture analysis of non-small cell lung cancer on unenhanced computed tomography: Initial evidence for a relationship with tumour glucose metabolism and stage
    • Ganeshan, B., Abaleke, S., Young, R. C., Chatwin, C. R. & Miles, K. A. Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage. Cancer Imaging 10, 137 (2010).
    • (2010) Cancer Imaging , vol.10 , pp. 137
    • Ganeshan, B.1    Abaleke, S.2    Young, R.C.3    Chatwin, C.R.4    Miles, K.A.5
  • 16
    • 84871704418 scopus 로고    scopus 로고
    • Non-small cell lung cancer: Histopathologic correlates for texture parameters at CT
    • Ganeshan, B. et al. Non-small cell lung cancer: histopathologic correlates for texture parameters at CT. Radiology 266, 326-336 (2013).
    • (2013) Radiology , vol.266 , pp. 326-336
    • Ganeshan, B.1
  • 17
    • 34250195010 scopus 로고    scopus 로고
    • Decoding global gene expression programs in liver cancer by noninvasive imaging
    • Segal, E. et al. Decoding global gene expression programs in liver cancer by noninvasive imaging. Nat. Biotechnol. 25, 675-680 (2007).
    • (2007) Nat. Biotechnol. , vol.25 , pp. 675-680
    • Segal, E.1
  • 18
    • 84901946941 scopus 로고    scopus 로고
    • Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    • Aerts, H. J. et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. doi:10.1038/ncomms5006 (2014).
    • (2014) Nat. Commun.
    • Aerts, H.J.1
  • 19
    • 80053599063 scopus 로고    scopus 로고
    • Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme
    • Zinn, P. O. et al. Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme. PLOS ONE 6, e25451 (2011).
    • (2011) PLOS ONE , vol.6
    • Zinn, P.O.1
  • 20
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
    • Monti, S., Tamayo, P., Mesirov, J. & Golub, T. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Mach. Learn. 52, 91-118 (2003).
    • (2003) Mach. Learn. , vol.52 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
  • 22
    • 0001416258 scopus 로고
    • Texture analysis using gray level run lengths
    • Galloway, M. M. Texture analysis using gray level run lengths. Comput. Vision Graph. 4, 172-179 (1975).
    • (1975) Comput. Vision Graph. , vol.4 , pp. 172-179
    • Galloway, M.M.1
  • 23
    • 0037572347 scopus 로고    scopus 로고
    • CERR: A computational environment for radiotherapy research
    • Deasy, J. O., Blanco, A. I. & Clark, V. H. CERR: a computational environment for radiotherapy research. Med. Phys. 30, 979-985 (2003).
    • (2003) Med. Phys. , vol.30 , pp. 979-985
    • Deasy, J.O.1    Blanco, A.I.2    Clark, V.H.3
  • 25
    • 80755144068 scopus 로고    scopus 로고
    • Survcomp: An R/Bioconductor package for performance assessment and comparison of survival models
    • Schröder, M. S., Culhane, A. C., Quackenbush, J. & Haibe-Kains, B. survcomp: an R/Bioconductor package for performance assessment and comparison of survival models. Bioinformatics 27, 3206-3208 (2011).
    • (2011) Bioinformatics , vol.27 , pp. 3206-3208
    • Schröder, M.S.1    Culhane, A.C.2    Quackenbush, J.3    Haibe-Kains, B.4
  • 26
    • 77954182362 scopus 로고    scopus 로고
    • ConsensusClusterPlus: A class discovery tool with confidence assessments and item tracking
    • Wilkerson, M. D. & Hayes, D. N. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking. Bioinformatics 26, 1572-1573 (2010).
    • (2010) Bioinformatics , vol.26 , pp. 1572-1573
    • Wilkerson, M.D.1    Hayes, D.N.2
  • 28
    • 79952709519 scopus 로고    scopus 로고
    • PROC: An open-source package for R and S+ to analyze and compare ROC curves
    • Robin, X. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12, 77 (2011).
    • (2011) BMC Bioinformatics , vol.12 , pp. 77
    • Robin, X.1
  • 29
    • 0003562954 scopus 로고    scopus 로고
    • A simple generalisation of the area under the ROC curve for multiple class classification problems
    • Hand, D. J. & Till, R. J. A simple generalisation of the area under the ROC curve for multiple class classification problems. Mach. Learn. 45, 171-186 (2001).
    • (2001) Mach. Learn. , vol.45 , pp. 171-186
    • Hand, D.J.1    Till, R.J.2
  • 30
    • 77949335209 scopus 로고    scopus 로고
    • The VGAM package for categorical data analysis
    • Yee, T. W. The VGAM package for categorical data analysis. J. Stat. Softw. 32, 1-34 (2010).
    • (2010) J. Stat. Softw. , vol.32 , pp. 1-34
    • Yee, T.W.1
  • 31
    • 84902515123 scopus 로고    scopus 로고
    • Reproducibility and prognosis of quantitative features extracted from CT images
    • Balagurunathan, Y. et al. Reproducibility and Prognosis of Quantitative Features Extracted from CT Images. Transl. Oncol. 7, 72-87 (2014).
    • (2014) Transl. Oncol. , vol.7 , pp. 72-87
    • Balagurunathan, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.