1. 2018
  2. Klaassen, R., Larue, R. T. H. M., Mearadji, B., van der Woude, S. O., Stoker, J., Lambin, P., & van Laarhoven, H. W. M. (2018). Feasibility of CT radiomics to predict treatment response of individual liver metastases in esophagogastric cancer patientsPLOS ONE13(11), [0207362]. https://doi.org/10.1371/journal.pone.0207362
  3. Haider, S., Yao, C. Q., Sabine, V. S., Grzadkowski, M., Stimper, V., Starmans, M. H. W., … Boutros, P. C. (2018). Pathway-based subnetworks enable cross-disease biomarker discoveryNature Communications9, [4746]. https://doi.org/10.1038/s41467-018-07021-3
  4. Cusumano, D., Dinapoli, N., Boldrini, L., Chiloiro, G., Gatta, R., Masciocchi, C., … Valentini, V. (2018). Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancerRadiologia medica123(4), 286-295. https://doi.org/10.1007/s11547-017-0838-3
  5. Salem, A., Asselin, M-C., Reymen, B., Jackson, A., Lambin, P., West, C. M. L., … Faivre-Finn, C. (2018). Targeting Hypoxia to Improve Non-Small Cell Lung Cancer OutcomeJournal of the National Cancer Institute110(1), 14-30. https://doi.org/10.1093/jnci/djx160
  6. Kazokaite, J., Niemans, R., Dudutiene, V., Becker, H. M., Leitans, J., Zubriene, A., … Matulis, D. (2018). Novel fluorinated carbonic anhydrase IX inhibitors reduce hypoxia-induced acidification and clonogenic survival of cancer cellsOncotarget9(42), 26800-26816. https://doi.org/10.18632/oncotarget.25508
  7. 2017
  8. Tunali, I., Stringfield, O., Guvenis, A., Wang, H., Liu, Y., Balagurunathan, Y., … Schabath, M. B. (2017). Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patientsOncotarget8(56), 96013-96026. https://doi.org/10.18632/oncotarget.21629
  9. Hanzouli-Ben Salah, H., Lapuyade-Lahorgue, J., Bert, J., Benoit, D., Lambin, P., Van Baardwijk, A., … Hatt, M. (2017). A framework based on hidden Markov trees for multimodal PET/CT image co-segmentationMedical Physics44(11), 5835-5848. https://doi.org/10.1002/mp.12531
  10. Alitto, A. R., Gatta, R., Vanneste, B. G. L., Vallati, M., Meldolesi, E., Damiani, A., … Mantini, G. (2017). PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGEFuture Oncology13(24), 2171-2181. https://doi.org/10.2217/fon-2017-0142
  11. Grossmann, P., Stringfield, O., El-Hachem, N., Bui, M. M., Velazquez, E. R., Parmar, C., … Aerts, H. J. W. L. (2017). Defining the biological basis of radiomic phenotypes in lung cancerElife6, [23421]. https://doi.org/10.7554/eLife.23421
  12. O’Connor, J. P. B., Aboagye, E. O., Adams, J. E., Aerts, H. J. W. L., Barrington, S. F., Beer, A. J., … Waterton, J. C. (2017). Imaging biomarker roadmap for cancer studiesNature Reviews Clinical Oncology14(3), 169-186. https://doi.org/10.1038/nrclinonc.2016.162
  13. de Jong, E. E. C., van Elmpt, W., Hoekstra, O. S., Groen, H. J. M., Smit, E. F., Boellaard, R., … Dingemans, A-M. C. (2017). Quality assessment of positron emission tomography scans: recommendations for future multicentre trialsActa Oncologica56(11), 1459-1464. https://doi.org/10.1080/0284186X.2017.1346824
  14. 2016
  15. van Kuijk, S. J. A., Gieling, R. G., Niemans, R., Lieuwes, N. G., Biemans, R., Telfer, B. A., … Williams, K. J. (2016). The Sulfamate Small Molecule CAIX Inhibitor S4 Modulates Doxorubicin EfficacyPLOS ONE11(8), [e0161040]. https://doi.org/10.1371/journal.pone.0161040
  16. Mowday, A. M., Guise, C. P., Ackerley, D. F., Minton, N. P., Lambin, P., Dubois, L. J., … Patterson, A. V. (2016). Advancing Clostridia to Clinical Trial: Past Lessons and Recent ProgressCancers8(7), [63]. https://doi.org/10.3390/cancers8070063
  17. 2015
  18. Van De Voorde, L., Larue, R., Persoon, L., Oelers, M., Nijsten, S., Bosmans, G., … Lambin, P. (2015). The influence of gastric filling instructions on dose delivery in patients with oesophageal cancer: A prospective study. In Radiotherapy and Oncology (Radiotherapy and Oncology). Elsevier Ireland Ltd. https://doi.org/10.1016/j.radonc.2015.09.006
  19. van der Valk, F. M., Sluimer, J. C., Voo, S. A., Verberne, H. J., Nederveen, A. J., Windhorst, A. D., … Daemen, M. J. A. P. (2015). In Vivo Imaging of Hypoxia in Atherosclerotic Plaques in HumansJACC-Cardiovascular Imaging8(11), 1340-1341. https://doi.org/10.1016/j.jcmg.2014.12.015
  20. Leijenaar, R. T. H., Nalbantov, G., Carvalho, S., van Elmpt, W. J. C., Troost, E. G. C., Boellaard, R., … Lambin, P. (2015). The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysisScientific Reports5, [11075]. https://doi.org/10.1038/srep11075
  21. Boutros, P. C., Fraser, M., Harding, N. J., de Borja, R., Trudel, D., Lalonde, E., … Bristow, R. G. (2015). Spatial genomic heterogeneity within localized, multifocal prostate cancerNature Genetics47(7), 736-+. https://doi.org/10.1038/ng.3315
  22. Parmar, C., Leijenaar, R. T. H., Grossmann, P., Velazquez, E. R., Bussink, J., Rietveld, D., … Aerts, H. J. W. L. (2015). Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancerScientific Reports5, [11044]. https://doi.org/10.1038/srep11044
  23. Starmans, M. H. W., Pintilie, M., Chan-Seng-Yue, M., Moon, N. C., Haider, S., Nguyen, F., … Boutros, P. C. (2015). Integrating RAS Status into Prognostic Signatures for Adenocarcinomas of the LungClinical Cancer Research21(6), 1477-1486. https://doi.org/10.1158/1078-0432.CCR-14-1749
  24. Coroller, T. P., Grossmann, P., Hou, Y., Velazquez, E. R., Leijenaar, R. T. H., Hermann, G., … Aerts, H. J. W. L. (2015). CT-based radiomic signature predicts distant metastasis in lung adenocarcinomaRadiotherapy and Oncology114(3), 345-350. https://doi.org/10.1016/j.radonc.2015.02.015
  25. Yao, C. Q., Francis Nguyen, Haider, S., Starmans, M. H. W., Lambin, P., & Boutros, P. C. (2015). The transcriptomic profile of ovarian cancer gradingCancer Medicine4(1), 56-64. https://doi.org/10.1002/cam4.343
  26. 2014
  27. De Ruyck, K., Duprez, F., Ferdinande, L., Mbah, C., Rios-Velazquez, E., Hoebers, F., … Thierens, H. (2014). A let-7 microRNA polymorphism in the KRAS 3′-UTR is prognostic in oropharyngeal cancerCancer Epidemiology38(5), 591-8. https://doi.org/10.1016/j.canep.2014.07.008
  28. Parmar, C., Velazquez, E. R., Leijenaar, R., Jermoumi, M., Carvalho, S., Mak, R. H., … Aerts, H. J. W. L. (2014). Robust Radiomics Feature Quantification Using Semiautomatic Volumetric SegmentationPLOS ONE9(7). https://doi.org/10.1371/journal.pone.0102107
  29. Phillips, M., Beatty, J. D., Cataneo, R. N., Huston, J., Kaplan, P. D., Lalisang, R. I., … Patel, U. (2014). Rapid Point-Of-Care Breath Test for Biomarkers of Breast Cancer and Abnormal MammogramsPLOS ONE9(3), [e90226]. https://doi.org/10.1371/journal.pone.0090226
  30. Hoeben, B. A. W., Starmans, M. H. W., Leijenaar, R. T. H., Dubois, L. J., van der Kogel, A. J., Kaanders, J. H. A. M., … Bussink, J. (2014). Systematic analysis of F-18-FDG PET and metabolism, proliferation and hypoxia markers for classification of head and neck tumorsBMC Cancer14, [130]. https://doi.org/10.1186/1471-2407-14-130
  31. Marsch, E., Theelen, T. L., Demandt, J. A., Jeurissen, M., van Gink, M., Verjans, R., … Sluimer, J. C. (2014). Reversal of hypoxia in murine atherosclerosis prevents necrotic core expansion by enhancing efferocytosisArteriosclerosis Thrombosis and Vascular Biology34(12), 2545-2553. https://doi.org/10.1161/ATVBAHA.114.304023
  32. Wink, K. C. J., Roelofs, E., Solberg, T., Lin, L., Simone, C. B., Jakobi, A., … Troost, E. G. C. (2014). Particle therapy for non-small cell lung tumors: where do we stand? A systematic review of the literatureFrontiers in Oncology4, [292]. https://doi.org/10.3389/fonc.2014.00292
  33. 2013
  34. Velazquez, E. R., Parmar, C., Jermoumi, M., Mak, R. H., van Baardwijk, A., Fennessy, F. M., … Aerts, H. J. W. L. (2013). Volumetric CT-based segmentation of NSCLC using 3D-SlicerScientific Reports3, [3529]. https://doi.org/10.1038/srep03529
  35. Fontanarosa, D., van der Laan, H. P., Witte, M., Shakirin, G., Roelofs, E., Langendijk, J. A., … van Herk, M. (2013). An in silico comparison between margin-based and probabilistic target-planning approaches in head and neck cancer patientsRadiotherapy and Oncology109(3), 430-436. https://doi.org/10.1016/j.radonc.2013.07.012
  36. John, T., Starmans, M. H. W., Chen, Y-T., Russell, P. A., Barnett, S. A., White, S. C., … Cebon, J. S. (2013). The Role of Cancer-Testis Antigens as Predictive and Prognostic Markers in Non-Small Cell Lung CancerPLOS ONE8(7), [e67876]. https://doi.org/10.1371/journal.pone.0067876
  37. Gu, Y., Kumar, V., Hall, L. O., Goldgof, D. B., Li, C-Y., Korn, R., … Gillies, R. J. (2013). Automated delineation of lung tumors from CT images using a single click ensemble segmentation approachPattern Recognition46(3), 692-702. https://doi.org/10.1016/j.patcog.2012.10.005
  38. Leijenaar, R. T. H., Carvalho, S., Velazquez, E. R., van Elmpt, W. J. C., Parmar, C., Hoekstra, O. S., … Lambin, P. (2013). Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability. Acta oncologica52(7), 1391-1397. https://doi.org/10.3109/0284186X.2013.812798
  39. 2012
  40. Buijsen, J., van den Bogaard, J., van der Weide, H., Engelsman, S., van Stiphout, R., Janssen, M. P., … Lammering, G. (2012). FDG-PET-CT reduces the interobserver variability in rectal tumor delineationRadiotherapy and Oncology102(3), 371-376. https://doi.org/10.1016/j.radonc.2011.12.016
  41. Janssen, M. H. M., Ollers, M. C., van Stiphout, R. G. P. M., Riedl, R. G., van den Bogaard, J., Buijsen, J., … Lammering, G. (2012). PET-BASED TREATMENT RESPONSE EVALUATION IN RECTAL CANCER: PREDICTION AND VALIDATIONInternational Journal of Radiation Oncology Biology Physics82(2), 871-876. https://doi.org/10.1016/j.ijrobp.2010.11.038
  42. Mul, V. E. M., de Jong, J. M. A., Murrer, L. H. P., van den Ende, P. L. A., Houben, R. M. A., Lacko, M., … Baumert, B. G. (2012). Lhermitte sign and myelopathy after irradiation of the cervical spinal cord in radiotherapy treatment of head and neck cancerStrahlentherapie Und onkologie188(1), 71-76. https://doi.org/10.1007/s00066-011-0010-2
  43. 2011
  44. Buijsen, J., van den Bogaard, J., Janssen, M. H., Bakers, F. C., Engelsman, S., Ollers, M., … Lammering, G. (2011). FDG-PET provides the best correlation with the tumor specimen compared to MRI and CT in rectal cancerRadiotherapy and Oncology98(2), 270-276. https://doi.org/10.1016/j.radonc.2010.11.018
  45. 2010
  46. Grutters, J. P. C., Joore, M. A., Wiegman, E. M., Langendijk, J. A., de Ruysscher, D., Hochstenbag, M., … Pijls-Johannesma, M. (2010). Health-related quality of life in patients surviving non-small cell lung cancerThorax65(10), 903-907. https://doi.org/10.1136/thx.2010.136390
  47. Lammering, G., De Ruysscher, D., van Baardwijk, A., Baumert, B. G., Borger, J., Lutgens, L., … Lambin, P. (2010). The Use of FDG-PET to Target Tumors by RadiotherapyStrahlentherapie Und onkologie186(9), 471-481. https://doi.org/10.1007/s00066-010-2150-1
  48. Janssen, M. H. M., Ollers, M. C., van Stiphout, R. G. P. M., Riedl, R. G., van den Bogaard, J., Buijsen, J., … Lammering, G. (2010). Blood glucose level normalization and accurate timing improves the accuracy of PET-based treatment response predictions in rectal cancerRadiotherapy and Oncology95(2), 203-208. https://doi.org/10.1016/j.radonc.2010.01.021
  49. Grutters, J., Abrams, K. R., Pijls – Johannesma, M. C. G., de Ruysscher, D. K. M., Peters, H. J. M., Beutner, E. A., … Joore, M. A. (2010). Deciding upon New and Expensive Technologies in Cancer Care: Real Options Analysis in Proton Therapy. Maastricht: Mimeo, CAPHRI School for Public Health and Primary Care.
  50. Jager, J. J., Keymeulen, K. B. I. M., Beets Tan, R. G., Hupperets, P., van Kroonenburgh, M., Houben, R., … Boersma, L. J. (2010). FDG-PET-CT for staging of high-risk breast cancer patients reduces the number of further examinations: A pilot studyActa Oncologica49(2), 185-91. https://doi.org/10.3109/02841860903440262
  51. 2009
  52. 2007
  53. Seigneuric, R., Starmans, M. H. W., Fung, G., Krishnapuram, B., Nuyten, D. S. A., van Erk, A. A., … Lambin, P. (2007). Impact of supervised gene signatures of early hypoxia on patient survival. Radiotherapy and Oncology83(3), 374-382. https://doi.org/10.1016/j.radonc.2007.05.002
  54. 2006
  55. 2005
  56. 2004
  57. 2003
  58. 2001