-
1
-
-
84955604605
-
Radiomics: Images are more than pictures, they are data
-
Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology 2016; 278: 578-84. doi: https://doi.org/10.1148/radiol.2015151169
-
(2016)
Radiology
, vol.278
, pp. 578-584
-
-
Gillies, R.J.1
Kinahan, P.E.2
Hricak, H.3
-
2
-
-
84857037061
-
Radiomics: Extracting more information from medical images using advanced feature analysis
-
Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012; 48: 441-6. doi: https://doi.org/10.1016/j. ejca.2011.11.036
-
(2012)
Eur J Cancer
, vol.48
, pp. 441-446
-
-
Lambin, P.1
Rios-Velazquez, E.2
Leijenaar, R.3
Carvalho, S.4
Van Stiphout, R.G.5
Granton, P.6
-
3
-
-
84874213037
-
Assessment of tumor heterogeneity: An emerging imaging tool for clinical practice?
-
Davnall F, Yip CS, Ljungqvist G, Selmi M, Ng F, Sanghera B, et al. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 2012; 3: 573-89. doi: https://doi.org/ 10.1007/s13244-012-0196-6
-
(2012)
Insights Imaging
, vol.3
, pp. 573-589
-
-
Davnall, F.1
Yip, C.S.2
Ljungqvist, G.3
Selmi, M.4
Ng, F.5
Sanghera, B.6
-
4
-
-
84901946941
-
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
-
Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Cavalho S, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 2014; 5: 4006. doi: https://doi.org/10.1038/ncomms5006
-
(2014)
Nat Commun
, vol.5
, pp. 4006
-
-
Aerts, H.J.1
Velazquez, E.R.2
Leijenaar, R.T.3
Parmar, C.4
Grossmann, P.5
Cavalho, S.6
-
5
-
-
84907486549
-
The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning
-
Alobaidli S, McQuaid S, South C, Prakash V, Evans P, Nisbet A. The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning. Br J Radiol 2014; 87: 5-14. doi: https://doi.org/10.1259/bjr.20140369
-
(2014)
Br J Radiol
, vol.87
, pp. 5-14
-
-
Alobaidli, S.1
McQuaid, S.2
South, C.3
Prakash, V.4
Evans, P.5
Nisbet, A.6
-
6
-
-
84989830482
-
Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?
-
Mattonen SA, Ward AD, Palma DA. Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply? Br J Radiol 2016; 89: 20160113. doi: https://doi. org/10.1259/bjr.20160113
-
(2016)
Br J Radiol
, vol.89
, pp. 20160113
-
-
Mattonen, S.A.1
Ward, A.D.2
Palma, D.A.3
-
7
-
-
84930369242
-
Computerized PET/CT image analysis in the evaluation of tumour response to therapy
-
Lu W, Wang J, Zhang HH. Computerized PET/CT image analysis in the evaluation of tumour response to therapy. Br J Radiol 2015; 88: 20140625. doi: https://doi.org/ 10.1259/bjr.20140625
-
(2015)
Br J Radiol
, vol.88
, pp. 20140625
-
-
Lu, W.1
Wang, J.2
Zhang, H.H.3
-
8
-
-
84875734131
-
Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis
-
Chicklore S, Goh V, Siddique M, Roy A, Marsden PK, Cook GJ. Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging 2013; 40: 133-40. doi: https://doi. org/10.1007/s00259-012-2247-0
-
(2013)
Eur J Nucl Med Mol Imaging
, vol.40
, pp. 133-140
-
-
Chicklore, S.1
Goh, V.2
Siddique, M.3
Roy, A.4
Marsden, P.K.5
Cook, G.J.6
-
9
-
-
84996533954
-
Characterization of PET/CT images using texture analysis: The past, the present? Any future?
-
Hatt M, Tixier F, Pierce L, Kinahan PE, Le Rest CC, Visvikis D. Characterization of PET/CT images using texture analysis: the past, the present? any future? Eur J Nucl Med Mol Imaging 2017; 44: 151-165.
-
(2017)
Eur J Nucl Med Mol Imaging
, vol.44
, pp. 151-165
-
-
Hatt, M.1
Tixier, F.2
Pierce, L.3
Kinahan, P.E.4
Le Rest, C.C.5
Visvikis, D.6
-
11
-
-
0018466704
-
Statistical and structural approach to texture
-
Haralick RM. Statistical and structural approach to texture. Proc IEEE 1979; 67: 786-804. doi: https://doi.org/10.1109/ PROC.1979.11328
-
(1979)
Proc IEEE
, vol.67
, pp. 786-804
-
-
Haralick, R.M.1
-
12
-
-
0001416258
-
Texture analysis using gray level run lengths
-
Galloway MM. Texture analysis using gray level run lengths. Comput Graph Image Process 1975; 4: 172-9. doi: https://doi.org/ 10.1016/s0146-664x(75)80008-6
-
(1975)
Comput Graph Image Process
, vol.4
, pp. 172-179
-
-
Galloway, M.M.1
-
13
-
-
0032206479
-
Texture information in run-length matrices
-
Tang X. Texture information in run-length matrices. IEEE Trans Image Process 1998; 7: 1602-9. doi: https://doi.org/10.1109/ 83.725367
-
(1998)
IEEE Trans Image Process
, vol.7
, pp. 1602-1609
-
-
Tang, X.1
-
15
-
-
0000099030
-
Dimension of strange attractors
-
Russell DA, Hanson JD, Ott E. Dimension of strange attractors. Phys Rev Lett 1980; 45: 1175-8. doi: https://doi.org/10.1103/ physrevlett.45.1175
-
(1980)
Phys Rev Lett
, vol.45
, pp. 1175-1178
-
-
Russell, D.A.1
Hanson, J.D.2
Ott, E.3
-
16
-
-
0032041457
-
The modified box-counting method: Analysis of some characteristic parameters
-
Buczkowski S, Kyriacos S, Nekka F, Lo C. The modified box-counting method: analysis of some characteristic parameters. Pattern Recognit 1998; 31: 411-18. doi: https://doi.org/10.1016/S0031-3203(97) 00054-X
-
(1998)
Pattern Recognit
, vol.31
, pp. 411-418
-
-
Buczkowski, S.1
Kyriacos, S.2
Nekka, F.3
Lo, C.4
-
17
-
-
0141629387
-
Two algorithms to estimate fractal dimension of gray-level images
-
Chen WS, Yuan SY, Hsieh CM. Two algorithms to estimate fractal dimension of gray-level images. Opt Eng 2003; 42: 2452. doi: https://doi.org/10.1117/1.1585061
-
(2003)
Opt Eng
, vol.42
, pp. 2452
-
-
Chen, W.S.1
Yuan, S.Y.2
Hsieh, C.M.3
-
18
-
-
0028336445
-
An efficient differential box-counting approach to compute fractal dimension of image
-
Sarkar N, Chaudhuri BB. An efficient differential box-counting approach to compute fractal dimension of image. IEEE Trans Syst Man Cybernet 1994; 24: 115-20. doi: https://doi.org/10.1109/21.259692
-
(1994)
IEEE Trans Syst Man Cybernet
, vol.24
, pp. 115-120
-
-
Sarkar, N.1
Chaudhuri, B.B.2
-
19
-
-
67649407362
-
An improved boxcounting method for image fractal dimension estimation
-
Li J, Du Q, Sun C. An improved boxcounting method for image fractal dimension estimation. Pattern Recognit 2009; 42: 2460-9. doi: https://doi.org/10.1016/j. patcog.2009.03.001
-
(2009)
Pattern Recognit
, vol.42
, pp. 2460-2469
-
-
Li, J.1
Du, Q.2
Sun, C.3
-
20
-
-
0029208714
-
Texture segmentation using fractal dimension
-
Chaudhuri BB, Sarkar N. Texture segmentation using fractal dimension. IEEE Trans Pattern Anal Mach Intell 1995; 17: 72-7. doi: https://doi.org/10.1109/ 34.368149
-
(1995)
IEEE Trans Pattern Anal Mach Intell
, vol.17
, pp. 72-77
-
-
Chaudhuri, B.B.1
Sarkar, N.2
-
21
-
-
0021523150
-
Fractal-based description of natural scenes
-
Pentland AP. Fractal-based description of natural scenes. IEEE Trans Pattern Anal Mach Intell 1984; 6: 661-74. doi: https://doi. org/10.1109/tpami.1984.4767591
-
(1984)
IEEE Trans Pattern Anal Mach Intell
, vol.6
, pp. 661-674
-
-
Pentland, A.P.1
-
22
-
-
0030244617
-
On the validity of fractal dimension measurements in image analysis
-
Soille P, Rivest JF. On the validity of fractal dimension measurements in image analysis. J Vis Commun Image Represent 1996; 7: 217-29. doi: https://doi.org/10.1006/ jvci.1996.0020
-
(1996)
J Vis Commun Image Represent
, vol.7
, pp. 217-229
-
-
Soille, P.1
Rivest, J.F.2
-
23
-
-
0029876219
-
Estimation of fractal dimension in radiographs
-
Veenland JF, Grashius JL, van der Meer F, Beckers AL, Gelsema ES. Estimation of fractal dimension in radiographs. Med Phys 1996; 23: 585-94. doi: https://doi.org/ 10.1118/1.597816
-
(1996)
Med Phys
, vol.23
, pp. 585-594
-
-
Veenland, J.F.1
Grashius, J.L.2
Van Der Meer, F.3
Beckers, A.L.4
Gelsema, E.S.5
-
24
-
-
84887512712
-
Threedimensional solid texture analysis in biomedical imaging: Review and opportunities
-
Depeursinge A, Foncubierta-Rodriguez A, van de Ville D, Müller H. Threedimensional solid texture analysis in biomedical imaging: review and opportunities. Med Image Anal 2014; 18: 176-96. doi: https://doi.org/10.1016/j.media.2013.10.005
-
(2014)
Med Image Anal
, vol.18
, pp. 176-196
-
-
Depeursinge, A.1
Foncubierta-Rodriguez, A.2
Van De Ville, D.3
Müller, H.4
-
25
-
-
84976407838
-
Applications and limitations of radiomics
-
Yip SS, Aerts HJ. Applications and limitations of radiomics. Phys Med Biol 2016; 61: R150-66. doi: https://doi.org/10.1088/0031-9155/61/13/R150
-
(2016)
Phys Med Biol
, vol.61
, pp. R150-R166
-
-
Yip, S.S.1
Aerts, H.J.2
-
26
-
-
84899486643
-
Tumor texture analysis in 18F-FDG PET: Relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis
-
Orlhac F, Soussan M, Maisonobe JA, Garcia CA, Vanderlinden B, Buvat I. Tumor texture analysis in 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis. J Nucl Med 2014; 55: 414-22. doi: https://doi.org/ 10.2967/jnumed.113.129858
-
(2014)
J Nucl Med
, vol.55
, pp. 414-422
-
-
Orlhac, F.1
Soussan, M.2
Maisonobe, J.A.3
Garcia, C.A.4
Vanderlinden, B.5
Buvat, I.6
-
27
-
-
84920454196
-
18F-FDG PET uptake characterization through texture analysis: Investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort
-
Hatt M, Majdoub M, Vallières M, Tixier F, Le Rest CC, Groheux D, et al. 18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort. J Nucl Med 2015; 56: 38-44. doi: https://doi.org/10.2967/ jnumed.114.144055
-
(2015)
J Nucl Med
, vol.56
, pp. 38-44
-
-
Hatt, M.1
Majdoub, M.2
Vallières, M.3
Tixier, F.4
Le Rest, C.C.5
Groheux, D.6
-
28
-
-
84936085910
-
A radiomics model from joint FDGPET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
-
Vallières M, Freeman CR, Skamene SR, El Naqa I. A radiomics model from joint FDGPET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Phys Med Biol 2015; 60: 5471-96.
-
(2015)
Phys Med Biol
, vol.60
, pp. 5471-5496
-
-
Vallières, M.1
Freeman, C.R.2
Skamene, S.R.3
El Naqa, I.4
-
29
-
-
51049091883
-
Characterisation of radiotherapy planning volumes using textural analysis
-
Nailon WH, Redpath AT, McLaren DB. Characterisation of radiotherapy planning volumes using textural analysis. Acta Oncol 2008; 47: 1303-8. doi: https://doi.org/ 10.1080/02841860802256467
-
(2008)
Acta Oncol
, vol.47
, pp. 1303-1308
-
-
Nailon, W.H.1
Redpath, A.T.2
McLaren, D.B.3
-
30
-
-
84939428004
-
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
-
Khalvati F, Wong A, Haider MA. Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Med Imaging 2015; 15: 27. doi: https://doi.org/ 10.1186/s12880-015-0069-9
-
(2015)
BMC Med Imaging
, vol.15
, pp. 27
-
-
Khalvati, F.1
Wong, A.2
Haider, M.A.3
-
31
-
-
84930014016
-
Multiinstitutional validation of a novel textural analysis tool for preoperative stratification of suspected thyroid tumors on diffusionweighted MRI
-
Brown AM, Nagala S, Mclean MA, Lu Y, Scoffings D, Apte A, et al. Multiinstitutional validation of a novel textural analysis tool for preoperative stratification of suspected thyroid tumors on diffusionweighted MRI. Magn Reson Med 2016; 75: 1708-16. doi: https://doi.org/10.1002/ mrm.25743
-
(2016)
Magn Reson Med
, vol.75
, pp. 1708-1716
-
-
Brown, A.M.1
Nagala, S.2
Mclean, M.A.3
Lu, Y.4
Scoffings, D.5
Apte, A.6
-
32
-
-
84925609486
-
Texture features on T2-weighted magnetic resonance imaging: New potential biomarkers for prostate cancer aggressiveness
-
Vignati A, Mazzetti S, Giannini V, Russo F, Bollito E, Porpiglia F, et al. Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness. Phys Med Biol 2015; 60: 2685-701.
-
(2015)
Phys Med Biol
, vol.60
, pp. 2685-2701
-
-
Vignati, A.1
Mazzetti, S.2
Giannini, V.3
Russo, F.4
Bollito, E.5
Porpiglia, F.6
-
33
-
-
84926285519
-
Texture analysis on the edge-enhanced fluence of VMAT
-
Park SY, Park JM, Sung W, Kim IH, Ye SJ. Texture analysis on the edge-enhanced fluence of VMAT. Radiat Oncol 2015; 10: 74. doi: https://doi.org/10.1186/s13014-015-0382-z
-
(2015)
Radiat Oncol
, vol.10
, pp. 74
-
-
Park, S.Y.1
Park, J.M.2
Sung, W.3
Kim, I.H.4
Ye, S.J.5
-
34
-
-
84994833338
-
Quantitative radiomics: Impact of stochastic effects on textural feature analysis implies the need for standards
-
Nyflot MJ, Yang F, Byrd D, Bowen SR, Sandison GA, Kinahan PE. Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards. J Med Imaging (Bellingham) 2015; 2: 041002. doi: https://doi.org/ 10.1117/1.JMI.2.4.041002
-
(2015)
J Med Imaging (Bellingham)
, vol.2
, pp. 041002
-
-
Nyflot, M.J.1
Yang, F.2
Byrd, D.3
Bowen, S.R.4
Sandison, G.A.5
Kinahan, P.E.6
-
35
-
-
84902515123
-
Reproducibility and prognosis of quantitative features extracted from CT images
-
Balagurunathan Y, Gu Y, Wang H, Kumar V, Grove O, Hawkins S, et al. Reproducibility and prognosis of quantitative features extracted from CT images. Transl Oncol 2014; 7: 72-87. doi: https://doi.org/10.1593/ tlo.13844
-
(2014)
Transl Oncol
, vol.7
, pp. 72-87
-
-
Balagurunathan, Y.1
Gu, Y.2
Wang, H.3
Kumar, V.4
Grove, O.5
Hawkins, S.6
-
36
-
-
84904248018
-
Robust radiomics feature quantification using semiautomatic volumetric segmentation
-
Parmar C, Velazquez ER, Leijenaar R, Jermoumi M, Carvalho S, Mak RH, et al. Robust radiomics feature quantification using semiautomatic volumetric segmentation. PLoS One 2014; 9: 1-8. doi: https://doi.org/10.1371/journal. pone.0102107
-
(2014)
PLoS One
, vol.9
, pp. 1-8
-
-
Parmar, C.1
Velazquez, E.R.2
Leijenaar, R.3
Jermoumi, M.4
Carvalho, S.5
Mak, R.H.6
-
37
-
-
84954449392
-
Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction
-
Yip SS, Coroller TP, Sanford NN, Huynh E, Mamon H, Aerts HJ, et al. Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction. Phys Med Biol 2016; 61: 906-22. doi: https://doi.org/ 10.1088/0031-9155/61/2/906
-
(2016)
Phys Med Biol
, vol.61
, pp. 906-922
-
-
Yip, S.S.1
Coroller, T.P.2
Sanford, N.N.3
Huynh, E.4
Mamon, H.5
Aerts, H.J.6
-
38
-
-
84864688962
-
Lung texture in serial thoracic CT scans: Assessment of change introduced by image registration
-
Cunliffe AR, Al-Hallaq HA, Labby ZE, Pelizzari CA, Straus C, Sensakovic WF, et al. Lung texture in serial thoracic CT scans: assessment of change introduced by image registration. Med Phys 2012; 39: 4679. doi: https://doi.org/10.1118/1.4730505
-
(2012)
Med Phys
, vol.39
, pp. 4679
-
-
Cunliffe, A.R.1
Al-Hallaq, H.A.2
Labby, Z.E.3
Pelizzari, C.A.4
Straus, C.5
Sensakovic, W.F.6
-
39
-
-
84878909768
-
Lung texture in serial thoracic CT scans: Registration-based methods to compare anatomically matched regions
-
Cunliffe AR, Armato SG, Fei XM, Tuohy RE, Al-Hallaq HA. Lung texture in serial thoracic CT scans: registration-based methods to compare anatomically matched regions. Med Phys 2013; 40: 61906. doi: https://doi.org/10.1118/1.4805110
-
(2013)
Med Phys
, vol.40
, pp. 61906
-
-
Cunliffe, A.R.1
Armato, S.G.2
Fei, X.M.3
Tuohy, R.E.4
Al-Hallaq, H.A.5
-
40
-
-
85009181706
-
Application and evaluation of wavelet-based surface reconstruction for contour propagation in radiotherapy
-
Munich, Germany
-
Moriconi S, Scalco E, Rancati T, Messina A, Giandini T, Valdagni R, et al. Application and evaluation of wavelet-based surface reconstruction for contour propagation in radiotherapy. In: Proceedings of MICCAI workshop on imaging and computer assistance in radiation therapy (ICART). Munich, Germany; 2015. pp. 58-65.
-
(2015)
Proceedings of MICCAI Workshop on Imaging and Computer Assistance in Radiation Therapy (ICART)
, pp. 58-65
-
-
Moriconi, S.1
Scalco, E.2
Rancati, T.3
Messina, A.4
Giandini, T.5
Valdagni, R.6
-
41
-
-
84955724184
-
External validation of a prognostic CTbased radiomic signature in oropharyngeal squamous cell carcinoma
-
Leijenaar RT, Carvalho S, Hoebers FJ, Aerts HJ, van Elmpt WJ, Huang SH, et al. External validation of a prognostic CTbased radiomic signature in oropharyngeal squamous cell carcinoma. Acta Oncol 2015; 54: 1423-9. doi: https://doi.org/10.3109/ 0284186X.2015.1061214
-
(2015)
Acta Oncol
, vol.54
, pp. 1423-1429
-
-
Leijenaar, R.T.1
Carvalho, S.2
Hoebers, F.J.3
Aerts, H.J.4
Van Elmpt, W.J.5
Huang, S.H.6
-
42
-
-
77957695023
-
Normalized metal artifact reduction (NMAR) in computed tomography
-
Meyer E, Raupach R, Lell MM, Schmidt B, Kachelrieb M. Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys 2010; 37: 5482-93. doi: https://doi.org/10.1118/1.3484090
-
(2010)
Med Phys
, vol.37
, pp. 5482-5493
-
-
Meyer, E.1
Raupach, R.2
Lell, M.M.3
Schmidt, B.4
Kachelrieb, M.5
-
43
-
-
0031830911
-
Texture analysis in radiographs: The influence of modulation transfer function and noise on the discriminative ability of texture features
-
Veenland JF, Grashuis JL, Gelsema ES. Texture analysis in radiographs: the influence of modulation transfer function and noise on the discriminative ability of texture features. Med Phys 1998; 25: 922-36. doi: https://doi.org/10.1118/1.598271
-
(1998)
Med Phys
, vol.25
, pp. 922-936
-
-
Veenland, J.F.1
Grashuis, J.L.2
Gelsema, E.S.3
-
44
-
-
84991764347
-
Impact of reconstruction algorithms on CT radiomic features of pulmonary tumors: Analysis of intra-and inter-reader variability and interreconstruction algorithm variability
-
Kim H, Park CM, Lee M, Park SJ, Song YS, Lee JH, et al. Impact of reconstruction algorithms on CT radiomic features of pulmonary tumors: analysis of intra-and inter-reader variability and interreconstruction algorithm variability. PLoS One 2016; 11: e0164924.
-
(2016)
PLoS One
, vol.11
, pp. e0164924
-
-
Kim, H.1
Park, C.M.2
Lee, M.3
Park, S.J.4
Song, Y.S.5
Lee, J.H.6
-
45
-
-
84958165658
-
Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors
-
Yang J, Zhang L, Fave XJ, Fried DV, Stingo FC, Ng CS, et al. Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors. Comput Med Imaging Graph 2016; 48: 1-8. doi: https://doi.org/10.1016/j. compmedimag.2015.12.001
-
(2016)
Comput Med Imaging Graph
, vol.48
, pp. 1-8
-
-
Yang, J.1
Zhang, L.2
Fave, X.J.3
Fried, D.V.4
Stingo, F.C.5
Ng, C.S.6
-
46
-
-
84991690918
-
Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule
-
He L, Huang Y, Ma Z, Liang C, Liang C, Liu Z. Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule. Sci Rep 2016; 6: 34921. doi: https:// doi.org/10.1038/srep34921
-
(2016)
Sci Rep
, vol.6
, pp. 34921
-
-
He, L.1
Huang, Y.2
Ma, Z.3
Liang, C.4
Liang, C.5
Liu, Z.6
-
47
-
-
77956565862
-
Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters
-
Galavis PE, Hollensen C, Jallow N, Paliwal B, Jeraj R. Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters. Acta Oncol 2010; 49: 1012-16. doi: https:// doi.org/10.3109/0284186X.2010.498437
-
(2010)
Acta Oncol
, vol.49
, pp. 1012-1016
-
-
Galavis, P.E.1
Hollensen, C.2
Jallow, N.3
Paliwal, B.4
Jeraj, R.5
-
48
-
-
84946570299
-
Impact of image reconstruction settings on texture features in 18F-FDG PET
-
Yan J, Chu-Shern JL, Loi HY, Khor LK, Sinha AK, Quek ST, et al. Impact of image reconstruction settings on texture features in 18F-FDG PET. J Nucl Med 2015; 56: 1667-73. doi: https://doi.org/10.2967/ jnumed.115.156927
-
(2015)
J Nucl Med
, vol.56
, pp. 1667-1673
-
-
Yan, J.1
Chu-Shern, J.L.2
Loi, H.Y.3
Khor, L.K.4
Sinha, A.K.5
Quek, S.T.6
-
49
-
-
84975319282
-
18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: A focus on lung cancer
-
Lasnon C, Majdoub M, Lavigne B, Do P. 18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer. Eur J Nucl Med Mol Imaging 2016; 43: 2324-35.
-
(2016)
Eur J Nucl Med Mol Imaging
, vol.43
, pp. 2324-2335
-
-
Lasnon, C.1
Majdoub, M.2
Lavigne, B.3
Do, P.4
-
50
-
-
84975698783
-
Repeatability of radiomic features in nonsmall-cell lung cancer [(18)F]FDG-PET/CT studies: Impact of reconstruction and delineation
-
van Velden FH, Kramer GM, Frings V, Nissen IA, Mulder ER, de Langen AJ, et al. Repeatability of radiomic features in nonsmall-cell lung cancer [(18)F]FDG-PET/CT studies: impact of reconstruction and delineation. Mol Imaging Biol 2016; 18: 788-95. doi: https://doi.org/10.1007/ s11307-016-0940-2
-
(2016)
Mol Imaging Biol
, vol.18
, pp. 788-795
-
-
Van Velden, F.H.1
Kramer, G.M.2
Frings, V.3
Nissen, I.A.4
Mulder, E.R.5
De Langen, A.J.6
-
51
-
-
84938961706
-
The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer
-
Doumou G, Siddique M, Tsoumpas C, Goh V, Cook GJ. The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer. Eur Radiol 2015; 25: 2805-12. doi: https://doi.org/10.1007/ s00330-015-3681-8
-
(2015)
Eur Radiol
, vol.25
, pp. 2805-2812
-
-
Doumou, G.1
Siddique, M.2
Tsoumpas, C.3
Goh, V.4
Cook, G.J.5
-
52
-
-
84975260856
-
Robustness of radiomic features in (11C)Choline and (18F)FDG PET/CT imaging of nasopharyngeal carcinoma: Impact of segmentation and discretization
-
Lu L, Lv W, Jiang J, Ma J, Feng Q, Rahmim A, et al. Robustness of radiomic features in (11C)Choline and (18F)FDG PET/CT imaging of nasopharyngeal carcinoma: impact of segmentation and discretization. Mol Imaging Biol 2016; 18: 935-45.
-
(2016)
Mol Imaging Biol
, vol.18
, pp. 935-945
-
-
Lu, L.1
Lv, W.2
Jiang, J.3
Ma, J.4
Feng, Q.5
Rahmim, A.6
-
53
-
-
85011710226
-
Reliability of PET/CT shape and heterogeneity features in functional and morphological components of non-small cell lung cancer tumors: A repeatability analysis in a prospective multi-center cohort
-
jnumed.116.180919 [Epub ahead of print]
-
Desseroit MC, Tixier F, Weber W, Siegel BA, Le Rest CC, Visvikis D, et al. Reliability of PET/CT shape and heterogeneity features in functional and morphological components of non-small cell lung cancer tumors: a repeatability analysis in a prospective multi-center cohort. J Nucl Med 2016; jnumed.116.180919 [Epub ahead of print]. doi: https://doi.org/ 10.2967/jnumed.116.180919
-
(2016)
J Nucl Med
-
-
Desseroit, M.C.1
Tixier, F.2
Weber, W.3
Siegel, B.A.4
Le Rest, C.C.5
Visvikis, D.6
-
54
-
-
84938942773
-
The effect of SUV discretization in quantitative FDG-PET radiomics: The need for standardized methodology in tumor texture analysis
-
Leijenaar RT, Nalbantov G, Carvalho S, van Elmpt WJ, Troost EG, Boellaard R, et al. The effect of SUV discretization in quantitative FDG-PET radiomics: the need for standardized methodology in tumor texture analysis. Sci Rep 2015; 5: 11075. doi: https:// doi.org/10.1038/srep11075
-
(2015)
Sci Rep
, vol.5
, pp. 11075
-
-
Leijenaar, R.T.1
Nalbantov, G.2
Carvalho, S.3
Van Elmpt, W.J.4
Troost, E.G.5
Boellaard, R.6
-
55
-
-
84885428106
-
Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
-
Hatt M, Tixier F, Le Rest CC, Pradier O, Visvikis D. Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma. Eur J Nucl Med Mol Imaging 2013; 40: 1662-71. doi: https://doi. org/10.1007/s00259-013-2486-8
-
(2013)
Eur J Nucl Med Mol Imaging
, vol.40
, pp. 1662-1671
-
-
Hatt, M.1
Tixier, F.2
Le Rest, C.C.3
Pradier, O.4
Visvikis, D.5
-
56
-
-
84961262750
-
Respiration-averaged CT for attenuation correction of PET images-impact on PET texture features in non-small cell lung cancer patients
-
Cheng NM, Fang YH, Tsan DL, Hsu CH, Yen TC. Respiration-averaged CT for attenuation correction of PET images-impact on PET texture features in non-small cell lung cancer patients. PLoS One 2016; 11: e0150509. doi: https://doi.org/10.1371/ journal.pone.0150509
-
(2016)
PLoS One
, vol.11
, pp. e0150509
-
-
Cheng, N.M.1
Fang, Y.H.2
Tsan, D.L.3
Hsu, C.H.4
Yen, T.C.5
-
57
-
-
84994895346
-
The impact of optimal respiratory gating and image noise on evaluation of intra-tumor heterogeneity in 18F-FDG positron emission tomography imaging of lung cancer
-
Grootjans W, Tixier F, van der Vos CS, Vriens D, Le Rest CC, Bussink J, et al. The impact of optimal respiratory gating and image noise on evaluation of intra-tumor heterogeneity in 18F-FDG positron emission tomography imaging of lung cancer. J Nucl Med 2016; 57: 1692-8. doi: https://doi. org/10.2967/jnumed.116.173112
-
(2016)
J Nucl Med
, vol.57
, pp. 1692-1698
-
-
Grootjans, W.1
Tixier, F.2
Van Der Vos, C.S.3
Vriens, D.4
Le Rest, C.C.5
Bussink, J.6
-
58
-
-
85014836808
-
Understanding changes in tumor textural indices in PET: A comparison between visual assessment and index values in simulated and patient data
-
jnumed.116.181859 [Epub ahead of print]
-
Orlhac F, Nioche C, Soussan M, Buvat I. Understanding changes in tumor textural indices in PET: a comparison between visual assessment and index values in simulated and patient data. J Nucl Med 2016; jnumed.116.181859 [Epub ahead of print]. doi: https://doi.org/10.2967/ jnumed.116.181859
-
(2016)
J Nucl Med
-
-
Orlhac, F.1
Nioche, C.2
Soussan, M.3
Buvat, I.4
-
59
-
-
63849094894
-
Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study
-
Mayerhoefer ME, Szomolanyi P, Jirak D, Materka A, Trattnig S. Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: an application-oriented study. Med Phys 2009; 36: 1236. doi: https://doi.org/10.1118/ 1.3081408
-
(2009)
Med Phys
, vol.36
, pp. 1236
-
-
Mayerhoefer, M.E.1
Szomolanyi, P.2
Jirak, D.3
Materka, A.4
Trattnig, S.5
-
60
-
-
77953171016
-
N4ITK: Improved N3 bias correction
-
Tustison NJ, Avants BB, Cook PA, Zheng Y, Egan A, Yushkevich PA, et al. N4ITK: Improved N3 Bias Correction. IEEE Trans Med Imaging 2010 29: 1310-20.
-
(2010)
IEEE Trans Med Imaging
, vol.29
, pp. 1310-1320
-
-
Tustison, N.J.1
Avants, B.B.2
Cook, P.A.3
Zheng, Y.4
Egan, A.5
Yushkevich, P.A.6
-
61
-
-
84983127840
-
A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging
-
Giannini V, Mazzetti S, Vignati A, Russo F, Bollito E, Porpiglia F, et al. A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging. Comput Med Imaging Graph 2015; 46: 219-26. doi: https://doi.org/10.1016/j. compmedimag.2015.09.001
-
(2015)
Comput Med Imaging Graph
, vol.46
, pp. 219-226
-
-
Giannini, V.1
Mazzetti, S.2
Vignati, A.3
Russo, F.4
Bollito, E.5
Porpiglia, F.6
-
62
-
-
84923878876
-
Computeraided detection and diagnosis for prostate cancer based on mono and multiparametric MRI: A review
-
Lemaitre G, Martì R, Freixenet J, Vilanova JC, Walker PM, Meriaudeau F. Computeraided detection and diagnosis for prostate cancer based on mono and multiparametric MRI: a review. Comput Biol Med 2015; 60: 8-31. doi: https://doi.org/10.1016/ j.compbiomed.2015.02.009
-
(2015)
Comput Biol Med
, vol.60
, pp. 8-31
-
-
Lemaitre, G.1
Martì, R.2
Freixenet, J.3
Vilanova, J.C.4
Walker, P.M.5
Meriaudeau, F.6
-
63
-
-
84993956511
-
Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer
-
Jansen JF, Lu Y, Gupta G, Lee NY, Stambuk HE, Mazaheri Y, et al. Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer. World J Radiol 2016; 8: 90-7. doi: https://doi.org/ 10.4329/wjr.v8.i1.90
-
(2016)
World J Radiol
, vol.8
, pp. 90-97
-
-
Jansen, J.F.1
Lu, Y.2
Gupta, G.3
Lee, N.Y.4
Stambuk, H.E.5
Mazaheri, Y.6
-
64
-
-
84902993233
-
Reproducibility of histogram and texture parameters derived from intravoxel incoherent motion diffusion-weighted MRI of FN13762 rat breast carcinomas
-
Song YS, Park CM, Lee SM, Park SJ, Cho HR, Choi SH, et al. Reproducibility of histogram and texture parameters derived from intravoxel incoherent motion diffusion-weighted MRI of FN13762 rat breast carcinomas. Anticancer Res 2014; 34: 2135-44.
-
(2014)
Anticancer Res
, vol.34
, pp. 2135-2144
-
-
Song, Y.S.1
Park, C.M.2
Lee, S.M.3
Park, S.J.4
Cho, H.R.5
Choi, S.H.6
-
65
-
-
84907153252
-
ADC texture-an imaging biomarker for high-grade glioma?
-
Brynolfsson P, Nilsson D, Henriksson R, Hauksson J, Karlsson M, Garpebring A, et al. ADC texture-an imaging biomarker for high-grade glioma? Med Phys 2014; 41: 101903. doi: https://doi.org/10.1118/ 1.4894812
-
(2014)
Med Phys
, vol.41
, pp. 101903
-
-
Brynolfsson, P.1
Nilsson, D.2
Henriksson, R.3
Hauksson, J.4
Karlsson, M.5
Garpebring, A.6
-
66
-
-
0022969218
-
MR imaging of intravoxel incoherent motions: Application to diffusion and perfusion in neurologic disorders
-
Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161: 401-7. doi: https://doi.org/10.1148/ radiology.161.2.3763909
-
(1986)
Radiology
, vol.161
, pp. 401-407
-
-
Le Bihan, D.1
Breton, E.2
Lallemand, D.3
Grenier, P.4
Cabanis, E.5
Laval-Jeantet, M.6
-
67
-
-
84877843672
-
Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases
-
Andreou A, Koh DM, Collins DJ, Blackledge M, Wallace T, Leach MO, et al. Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases. Eur Radiol 2013; 23: 428-34. doi: https://doi.org/10.1007/ s00330-012-2604-1
-
(2013)
Eur Radiol
, vol.23
, pp. 428-434
-
-
Andreou, A.1
Koh, D.M.2
Collins, D.J.3
Blackledge, M.4
Wallace, T.5
Leach, M.O.6
-
68
-
-
84865223904
-
Texture analysis of CT images in the characterization of oral cancers involving buccal mucosa
-
Raja JV, Khan M, Ramachandra VK, Al-Kadi O. Texture analysis of CT images in the characterization of oral cancers involving buccal mucosa. Dentomaxillofac Radiol 2012; 41: 475-80. doi: https://doi.org/ 10.1259/dmfr/83345935
-
(2012)
Dentomaxillofac Radiol
, vol.41
, pp. 475-480
-
-
Raja, J.V.1
Khan, M.2
Ramachandra, V.K.3
Al-Kadi, O.4
-
69
-
-
84870931846
-
Assessing the combined performance of texture and morphological parameters in distinguishing breast tumors in ultrasound images
-
Alvarenga AV, Infantosi AF, Pereira WC, Azevedo CM. Assessing the combined performance of texture and morphological parameters in distinguishing breast tumors in ultrasound images. Med Phys 2012; 39: 7350-8. doi: https://doi.org/10.1118/ 1.4766268
-
(2012)
Med Phys
, vol.39
, pp. 7350-7358
-
-
Alvarenga, A.V.1
Infantosi, A.F.2
Pereira, W.C.3
Azevedo, C.M.4
-
70
-
-
84966335551
-
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
-
Fehr D, Veeraraghavan H, Wibmer A, Gondo T, Matsumoto K, Vargas HA, et al. Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. Proc Natl Acad Sci USA 2015; 112: E6265-73. doi: https://doi. org/10.1073/pnas.1505935112
-
(2015)
Proc Natl Acad Sci USA
, vol.112
, pp. E6265-E6273
-
-
Fehr, D.1
Veeraraghavan, H.2
Wibmer, A.3
Gondo, T.4
Matsumoto, K.5
Vargas, H.A.6
-
71
-
-
45749094210
-
Texture analysis of aggressive and nonaggressive lung tumor CE CT images
-
Al-Kadi OS, Watson D. Texture analysis of aggressive and nonaggressive lung tumor CE CT images. IEEE Trans Biomed Eng 2008; 55: 1822-30. doi: https://doi.org/ 10.1109/TBME.2008.919735
-
(2008)
IEEE Trans Biomed Eng
, vol.55
, pp. 1822-1830
-
-
Al-Kadi, O.S.1
Watson, D.2
-
72
-
-
61449171165
-
Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning
-
Yu H, Caldwell C, Mah K, Mozeg D. Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning. IEEE Trans Med Imaging 2009; 28: 374-83. doi: https://doi.org/10.1109/TMI.2008.2004425
-
(2009)
IEEE Trans Med Imaging
, vol.28
, pp. 374-383
-
-
Yu, H.1
Caldwell, C.2
Mah, K.3
Mozeg, D.4
-
73
-
-
69549111175
-
Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images
-
Yu H, Caldwell C, Mah K, Poon I, Balogh J, MacKenzie R, et al. Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images. Int J Radiat Oncol Biol Phys 2009; 75: 618-25. doi: https://doi.org/ 10.1016/j.ijrobp.2009.04.043
-
(2009)
Int J Radiat Oncol Biol Phys
, vol.75
, pp. 618-625
-
-
Yu, H.1
Caldwell, C.2
Mah, K.3
Poon, I.4
Balogh, J.5
MacKenzie, R.6
-
74
-
-
84983349020
-
Radiomics in head and neck cancer: From exploration to application
-
Wong AJ, Kanwar A, Mohamed AS, Fuller CD. Radiomics in head and neck cancer: from exploration to application. Transl Cancer Res 2016; 5: 371-82. doi: https://doi. org/10.21037/tcr.2016.07.18
-
(2016)
Transl Cancer Res
, vol.5
, pp. 371-382
-
-
Wong, A.J.1
Kanwar, A.2
Mohamed, A.S.3
Fuller, C.D.4
-
75
-
-
84983288387
-
Radiomics applied to lung cancer: A review
-
Scrivener M, De Jong EE, van Timmeren JE, Pieters T, Geets X. Radiomics applied to lung cancer: a review. Transl Cancer Res 2016; 5: 398-409. doi: https://doi.org/ 10.21037/tcr.2016.06.18
-
(2016)
Transl Cancer Res
, vol.5
, pp. 398-409
-
-
Scrivener, M.1
De Jong, E.E.2
Van Timmeren, J.E.3
Pieters, T.4
Geets, X.5
-
76
-
-
84884545769
-
Quantification of radiation-induced lung damage with CT scans: The possible benefit for radiogenomics
-
De Ruysscher D, Sharifi H, Defraene G, Kerns SL, Christiaens M, De Ruyck K, et al. Quantification of radiation-induced lung damage with CT scans: the possible benefit for radiogenomics. Acta Oncol 2013; 52: 1405-10. doi: https://doi.org/10.3109/ 0284186X.2013.813074
-
(2013)
Acta Oncol
, vol.52
, pp. 1405-1410
-
-
De Ruysscher, D.1
Sharifi, H.2
Defraene, G.3
Kerns, S.L.4
Christiaens, M.5
De Ruyck, K.6
-
77
-
-
80255135595
-
Lung density changes after stereotactic radiotherapy: A quantitative analysis in 50 patients
-
Palma DA, van Sörnsen de Koste J, Verbakel WF, Vincent A, Senan S. Lung density changes after stereotactic radiotherapy: a quantitative analysis in 50 patients. Int J Radiat Oncol 2011; 81: 974-8. doi: https://doi.org/10.1016/j. ijrobp.2010.07.025
-
(2011)
Int J Radiat Oncol
, vol.81
, pp. 974-978
-
-
Palma, D.A.1
Van Sörnsen, D.K.J.2
Verbakel, W.F.3
Vincent, A.4
Senan, S.5
-
78
-
-
84946483116
-
CTcharacteristics allow identification of patient-specific susceptibility for radiationinduced lung damage
-
Defraene G, van Elmpt W, Crijns W, Slagmolen P, De Ruysscher D. CTcharacteristics allow identification of patient-specific susceptibility for radiationinduced lung damage. Radiother Oncol 2015; 117: 29-35. doi: https://doi.org/ 10.1016/j.radonc.2015.07.033
-
(2015)
Radiother Oncol
, vol.117
, pp. 29-35
-
-
Defraene, G.1
Van Elmpt, W.2
Crijns, W.3
Slagmolen, P.4
De Ruysscher, D.5
-
79
-
-
84896771547
-
Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer
-
Mattonen SA, Palma DA, Haasbeek CJ, Senan S, Ward AD. Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer. Med Phys 2014; 41: 33502. doi: https://doi.org/ 10.1118/1.4866219
-
(2014)
Med Phys
, vol.41
, pp. 33502
-
-
Mattonen, S.A.1
Palma, D.A.2
Haasbeek, C.J.3
Senan, S.4
Ward, A.D.5
-
80
-
-
84943395976
-
Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy
-
Mattonen SA, Palma DA, Haasbeek CJ, Senan S, Ward AD. Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy. SPIE Med Imaging 2015; 94: 941719.
-
(2015)
SPIE Med Imaging
, vol.94
, pp. 941719
-
-
Mattonen, S.A.1
Palma, D.A.2
Haasbeek, C.J.3
Senan, S.4
Ward, A.D.5
-
81
-
-
84969326691
-
Detection of local cancer recurrence after stereotactic ablative radiation therapy for lung cancer: Physician performance versus radiomic assessment
-
Mattonen SA, Palma DA, Johnson C, Louie AV, Landis M, Rodrigues G, et al. Detection of local cancer recurrence after stereotactic ablative radiation therapy for lung cancer: physician performance versus radiomic assessment. Int J Radiat Oncol 2016; 94: 1121-8. doi: https://doi.org/10.1016/j. ijrobp.2015.12.369
-
(2016)
Int J Radiat Oncol
, vol.94
, pp. 1121-1128
-
-
Mattonen, S.A.1
Palma, D.A.2
Johnson, C.3
Louie, A.V.4
Landis, M.5
Rodrigues, G.6
-
82
-
-
84931291580
-
Textural features in pre-treatment (F18)-FDG-PET/ CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy
-
Pyka T, Bundschuh RA, Andratschke N, Mayer B, Specht HM, Papp L, et al. Textural features in pre-treatment (F18)-FDG-PET/ CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy. Radiat Oncol 2015; 10: 1-9. doi: https://doi.org/ 10.1186/s13014-015-0407-7
-
(2015)
Radiat Oncol
, vol.10
, pp. 1-9
-
-
Pyka, T.1
Bundschuh, R.A.2
Andratschke, N.3
Mayer, B.4
Specht, H.M.5
Papp, L.6
-
83
-
-
84872015239
-
Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy?
-
Cook GJ, Yip C, Siddique M, Goh V, Chicklore S, Roy A, et al. Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy? J Nucl Med 2013; 54: 19-26. doi: https://doi.org/10.2967/jnumed.112.107375
-
(2013)
J Nucl Med
, vol.54
, pp. 19-26
-
-
Cook, G.J.1
Yip, C.2
Siddique, M.3
Goh, V.4
Chicklore, S.5
Roy, A.6
-
84
-
-
84964335379
-
Radiomic phenotype features predict pathological response in non-small cell lung cancer
-
Coroller TP, Agrawal V, Narayan V, Hou Y, Grossmann P, Lee SW, et al. Radiomic phenotype features predict pathological response in non-small cell lung cancer. Radiother Oncol 2016; 119: 480-6. doi: https://doi.org/10.1016/j. radonc.2016.04.004
-
(2016)
Radiother Oncol
, vol.119
, pp. 480-486
-
-
Coroller, T.P.1
Agrawal, V.2
Narayan, V.3
Hou, Y.4
Grossmann, P.5
Lee, S.W.6
-
85
-
-
84991101893
-
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer
-
Huynh E, Coroller TP, Narayan V, Agrawal V, Hou Y, Romano J, et al. CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer. Radiother Oncol 2016; 120: 258-66. doi: https://doi.org/10.1016/j. radonc.2016.05.024
-
(2016)
Radiother Oncol
, vol.120
, pp. 258-266
-
-
Huynh, E.1
Coroller, T.P.2
Narayan, V.3
Agrawal, V.4
Hou, Y.5
Romano, J.6
-
86
-
-
79952788113
-
Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer
-
Tixier F, Le Rest CC, Hatt M, Albarghach N, Pradier O, Metges JP, et al. Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med 2011; 52: 369-78. doi: https://doi. org/10.2967/jnumed.110.082404
-
(2011)
J Nucl Med
, vol.52
, pp. 369-378
-
-
Tixier, F.1
Le Rest, C.C.2
Hatt, M.3
Albarghach, N.4
Pradier, O.5
Metges, J.P.6
-
87
-
-
84986309694
-
Texture analysis of 18F-FDG PET/CT to predict tumour response and prognosis of patients with esophageal cancer treated by chemoradiotherapy
-
[Epub ahead of print]
-
Nakajo M, Jinguji M, Nakabeppu Y, Nakajo M, Higashi R, Fukukura Y, et al. Texture analysis of 18F-FDG PET/CT to predict tumour response and prognosis of patients with esophageal cancer treated by chemoradiotherapy. Eur J Nucl Med Mol Imaging 2016; [Epub ahead of print]. doi: https:// doi.org/10.1007/s00259-016-3506-2
-
Eur J Nucl Med Mol Imaging
-
-
Nakajo, M.1
Jinguji, M.2
Nakabeppu, Y.3
Nakajo, M.4
Higashi, R.5
Fukukura, Y.6
-
88
-
-
84891122584
-
Primary esophageal cancer: Heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy
-
Yip C, Landau D, Kozarski R, Ganeshan B, Thomas R, Michaelidou A, et al. Primary esophageal cancer: heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy. Radiology 2014; 270: 141-8. doi: https://doi.org/10.1148/radiol.13122869
-
(2014)
Radiology
, vol.270
, pp. 141-148
-
-
Yip, C.1
Landau, D.2
Kozarski, R.3
Ganeshan, B.4
Thomas, R.5
Michaelidou, A.6
-
89
-
-
59149105325
-
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
-
El Naqa I, Grigsby P, Apte A, Kidd E, Donnelly E, Khullar D, et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit 2009; 42: 1162-71. doi: https://doi.org/10.1016/j. patcog.2008.08.011
-
(2009)
Pattern Recognit
, vol.42
, pp. 1162-1171
-
-
El Naqa, I.1
Grigsby, P.2
Apte, A.3
Kidd, E.4
Donnelly, E.5
Khullar, D.6
-
90
-
-
84990252754
-
Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma
-
Liu J, Mao Y, Li Z, Zhang D, Zhang Z, Hao S, et al. Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma. J Magn Reson Imaging 2016; 44: 445-55. doi: https://doi. org/10.1002/jmri.25156
-
(2016)
J Magn Reson Imaging
, vol.44
, pp. 445-455
-
-
Liu, J.1
Mao, Y.2
Li, Z.3
Zhang, D.4
Zhang, Z.5
Hao, S.6
-
91
-
-
84994852899
-
Characterization of cervical lymph-nodes using a multi-parametric and multi-modal approach for an early prediction of tumor response to chemoradiotherapy
-
[Epub ahead of print]
-
Scalco E, Marzi S, Sanguineti G, Vidiri A, Rizzo G. Characterization of cervical lymph-nodes using a multi-parametric and multi-modal approach for an early prediction of tumor response to chemoradiotherapy. Phys Med 2016; [Epub ahead of print]. doi: https://doi.org/10.1016/j. ejmp.2016.09.003
-
(2016)
Phys Med
-
-
Scalco, E.1
Marzi, S.2
Sanguineti, G.3
Vidiri, A.4
Rizzo, G.5
-
92
-
-
79952944800
-
Heterogeneity in DCE-MRI parametric maps: A biomarker for treatment response?
-
Alic L, van Vliet M, van Dijke CF, Eggermont MM, Veenland JF, Niessen WJ. Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response? Phys Med Biol 2011; 56: 1601-16. doi: https://doi.org/10.1088/0031-9155/56/6/006
-
(2011)
Phys Med Biol
, vol.56
, pp. 1601-1616
-
-
Alic, L.1
Van Vliet, M.2
Van Dijke, C.F.3
Eggermont, M.M.4
Veenland, J.F.5
Niessen, W.J.6
-
93
-
-
79959765946
-
DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6
-
OConnor JP, Rose CJ, Jackson A, Watson Y, Cheung S, Maders F, et al. DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6. Br J Cancer 2011; 105: 139-45.
-
(2011)
Br J Cancer
, vol.105
, pp. 139-145
-
-
O'Connor, J.P.1
Rose, C.J.2
Jackson, A.3
Watson, Y.4
Cheung, S.5
Maders, F.6
-
94
-
-
84976866378
-
Haralick textural features on T2-weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer
-
[Epub ahead of print]
-
Gnep K, Fargeas A, Gutiérrez-Carvajal RE, Commandeur F, Mathieu R, Ospina JD, et al. Haralick textural features on T2-weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer. J Magn Reson Imaging 2016; [Epub ahead of print]. doi: https://doi.org/ 10.1002/jmri.25335
-
(2016)
J Magn Reson Imaging
-
-
Gnep, K.1
Fargeas, A.2
Gutiérrez-Carvajal, R.E.3
Commandeur, F.4
Mathieu, R.5
Ospina, J.D.6
-
95
-
-
84903122418
-
Textural parameters of tumor heterogeneity in 18FFDG PET/CT for therapy response assessment and prognosis in patients with locally advanced rectal cancer
-
Bundschuh RA, Dinges J, Neumann L, Seyfried M, Zsótér N, Papp L, et al. Textural parameters of tumor heterogeneity in 18FFDG PET/CT for therapy response assessment and prognosis in patients with locally advanced rectal cancer. J Nucl Med 2014; 55: 891-7. doi: https://doi.org/10.2967/ jnumed.113.127340
-
(2014)
J Nucl Med
, vol.55
, pp. 891-897
-
-
Bundschuh, R.A.1
Dinges, J.2
Neumann, L.3
Seyfried, M.4
Zsótér, N.5
Papp, L.6
-
96
-
-
84925272116
-
Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance
-
De Cecco CN, Ganeshan B, Ciolina M, Rengo M, Meinel FG, Musio D, et al. Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance. Invest Radiol 2015; 50: 239-45. doi: https://doi. org/10.1097/rli.0000000000000116
-
(2015)
Invest Radiol
, vol.50
, pp. 239-245
-
-
De Cecco, C.N.1
Ganeshan, B.2
Ciolina, M.3
Rengo, M.4
Meinel, F.G.5
Musio, D.6
-
97
-
-
84994560182
-
Rectal cancer: Assessment of neoadjuvant chemo-radiation outcome based on radiomics of multi-parametric MRI
-
Nie K, Shi L, Chen Q, Hu X, Jabbour S, Yue N, et al. Rectal cancer: assessment of neoadjuvant chemo-radiation outcome based on radiomics of multi-parametric MRI. Clin Cancer Res 2016; 22: 5256-64. doi: https://doi.org/10.1158/1078-0432. CCR-15-2997
-
(2016)
Clin Cancer Res
, vol.22
, pp. 5256-5264
-
-
Nie, K.1
Shi, L.2
Chen, Q.3
Hu, X.4
Jabbour, S.5
Yue, N.6
-
98
-
-
84938973476
-
Response assessment to neoadjuvant therapy in soft tissue sarcomas: Using CT texture analysis in comparison to tumor size, density, and perfusion
-
Tian F, Hayano K, Kambadakone AR, Sahani DV. Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion. Abdom Imaging 2015; 40: 1705-12. doi: https://doi. org/10.1007/s00261-014-0318-3
-
(2015)
Abdom Imaging
, vol.40
, pp. 1705-1712
-
-
Tian, F.1
Hayano, K.2
Kambadakone, A.R.3
Sahani, D.V.4
-
99
-
-
85011710220
-
Prognostic value of MR imaging texture analysis in brain non-small cell lung cancer oligo-metastases undergoing stereotactic irradiation
-
Nardone V, Tini P, Biondi M, Sebaste L, Vanzi E, De Otto G, et al. Prognostic value of MR imaging texture analysis in brain non-small cell lung cancer oligo-metastases undergoing stereotactic irradiation. Cureus 2016; 8: e584. doi: https://doi.org/10.7759/ cureus.584
-
(2016)
Cureus
, vol.8
, pp. e584
-
-
Nardone, V.1
Tini, P.2
Biondi, M.3
Sebaste, L.4
Vanzi, E.5
De Otto, G.6
-
100
-
-
84925348152
-
Lung texture in serial thoracic computed tomography scans: Correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development
-
Cunliffe A, Armato SG, Castillo R, Pham N, Guerrero T, Al-Hallaq HA. Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development. Int J Radiat Oncol 2015; 91: 1048-56. doi: https://doi.org/ 10.1016/j.ijrobp.2014.11.030
-
(2015)
Int J Radiat Oncol
, vol.91
, pp. 1048-1056
-
-
Cunliffe, A.1
Armato, S.G.2
Castillo, R.3
Pham, N.4
Guerrero, T.5
Al-Hallaq, H.A.6
-
101
-
-
84866054006
-
Ultrasound GLCM texture analysis of radiation-induced parotid-gland injury in head-and-neck cancer radiotherapy: An in vivo study of late toxicity
-
Yang X, Tridandapani S, Beitler JJ, Yu DS, Yoshida EJ, Curran WJ, et al. Ultrasound GLCM texture analysis of radiation-induced parotid-gland injury in head-and-neck cancer radiotherapy: an in vivo study of late toxicity. Med Phys 2012; 39: 5732. doi: https://doi.org/10.1118/1.4747526
-
(2012)
Med Phys
, vol.39
, pp. 5732
-
-
Yang, X.1
Tridandapani, S.2
Beitler, J.J.3
Yu, D.S.4
Yoshida, E.J.5
Curran, W.J.6
-
102
-
-
84890058307
-
Texture analysis for the assessment of structural changes in parotid glands induced by radiotherapy
-
Scalco E, Fiorino C, Cattaneo GM, Sanguineti G, Rizzo G. Texture analysis for the assessment of structural changes in parotid glands induced by radiotherapy. Radiother Oncol 2013; 109: 384-7. doi: https://doi.org/10.1016/j.radonc.2013.09.019
-
(2013)
Radiother Oncol
, vol.109
, pp. 384-387
-
-
Scalco, E.1
Fiorino, C.2
Cattaneo, G.M.3
Sanguineti, G.4
Rizzo, G.5
-
103
-
-
84941170979
-
Early classification of parotid glands shrinkage in radiotherapy patients: A comparative study
-
Pota M, Scalco E, Sanguineti G, Cattaneo GM, Esposito M, Rizzo G. Early classification of parotid glands shrinkage in radiotherapy patients: a comparative study. Biosyst Eng 2015; 138: 77-89. doi: https://doi.org/10.1016/j. biosystemseng.2015.06.007
-
(2015)
Biosyst Eng
, vol.138
, pp. 77-89
-
-
Pota, M.1
Scalco, E.2
Sanguineti, G.3
Cattaneo, G.M.4
Esposito, M.5
Rizzo, G.6
-
105
-
-
84929120576
-
False discovery rates in PET and CT studies with texture features: A systematic review
-
Chalkidou A, ODoherty MJ, Marsden PK. False discovery rates in PET and CT studies with texture features: a systematic review. PLoS One 2015; 10: 1-18. doi: https://doi.org/10.1371/journal. pone.0124165
-
(2015)
PLoS One
, vol.10
, pp. 1-18
-
-
Chalkidou, A.1
O'Doherty, M.J.2
Marsden, P.K.3
-
106
-
-
84939498419
-
Machine learning methods for quantitative radiomic biomarkers
-
Parmar C, Grossmann P, Bussink J, Lambin P, Aerts HJ, Doroshow J, et al. Machine learning methods for quantitative radiomic biomarkers. Sci Rep 2015; 5: 649. doi: https://doi.org/10.1038/srep13087
-
(2015)
Sci Rep
, vol.5
, pp. 649
-
-
Parmar, C.1
Grossmann, P.2
Bussink, J.3
Lambin, P.4
Aerts, H.J.5
Doroshow, J.6
-
107
-
-
84973651850
-
Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer
-
Huang YQ, Liang CH, He L, Tian J, Liang CS, Chen X, et al. Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer. J Clin Oncol 2016; 34: 2157-64. doi: https://doi.org/ 10.1200/JCO.2015.65.9128
-
(2016)
J Clin Oncol
, vol.34
, pp. 2157-2164
-
-
Huang, Y.Q.1
Liang, C.H.2
He, L.3
Tian, J.4
Liang, C.S.5
Chen, X.6
-
108
-
-
84958581520
-
A radio-genomics approach for identifying high risk estrogen receptor-positive breast cancers on DCE-MRI: Preliminary results in predicting OncotypeDX risk scores
-
Wan T, Bloch BN, Plecha D, Thompson CL, Gilmore H, Jaffe C, et al. A radio-genomics approach for identifying high risk estrogen receptor-positive breast cancers on DCE-MRI: preliminary results in predicting OncotypeDX risk scores. Sci Rep 2016; 6: 21394. doi: https:// doi.org/10.1038/srep21394
-
(2016)
Sci Rep
, vol.6
, pp. 21394
-
-
Wan, T.1
Bloch, B.N.2
Plecha, D.3
Thompson, C.L.4
Gilmore, H.5
Jaffe, C.6
-
109
-
-
85011716889
-
Signaling pathways alteration involved in head and neck cancer can be identified through textural features analysis in 18F-FDG PET images: A prospective study
-
Tixier F, Hatt M, Le Rest CC, Simon B, Key S, Corcos L, et al. Signaling pathways alteration involved in head and neck cancer can be identified through textural features analysis in 18F-FDG PET images: a prospective study. J Nucl Med 2015; 56: 449.
-
(2015)
J Nucl Med
, vol.56
, pp. 449
-
-
Tixier, F.1
Hatt, M.2
Le Rest, C.C.3
Simon, B.4
Key, S.5
Corcos, L.6
|