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Harmsen MM, Fijten HPD, Westra DF, Dekker A. Stabilizing effects of excipients on dissociation of intact (146S) foot-and-mouth disease virions into 12S particles during storage as oil-emulsion vaccine. Vaccine 2015; 33:2477-84. [PMID: 25843267 DOI: 10.1016/j.vaccine.2015.03.066] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 03/17/2015] [Accepted: 03/23/2015] [Indexed: 11/26/2022]
Abstract
Most conventional foot-and-mouth disease virus (FMDV) vaccines contain oil-adjuvant. Their potency decreases upon prolonged storage. Intact (146S) FMDV particles can dissociate into 12S degradation products with a concomitant decrease in immunogenicity. We therefore measured virion stability in vaccines using two previously developed ELISAs to separately quantify 12S and 146S particles. Virions completely dissociated into 12S particles within 3 months after oil-emulsification. Dissociation occurred at a much lower rate in a comparable aqueous solution that was not oil-emulsified. Thus, oil-emulsification stimulates virion dissociation, presumably due to the protein denaturing effect of the oil-water interface. In real-time stability studies the stability of oil-adjuvanted virions of four different FMDV strains was significantly increased by addition of sucrose and BSA in a synergistic manner. Contrary to BSA addition, the effect of sucrose addition was concentration dependent. This study illustrates the importance of analysing antigen integrity after oil-emulsification and provides methods for FMDV vaccine stabilization.
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Lustberg T, Bailey M, Thwaites D, Miller A, Carolan M, Holloway L, Rios E, Dekker A, Hoebers F, Harris J, Dignam J, Komaki R, Trotti A, De los Santos J, McGarry R, Galloway T, Michalski J. PD-0422: Validating a 2 year survival prediction model for laryngeal carcinoma patients in a clinical care and trial setting. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40418-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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104
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Shen L, Van Soest J, Wang J, Yu J, Hu W, Gong Y, Valentini V, Xiao Y, Dekker A, Zhang Z. EP-1200: Validation of a rectal cancer outcome prediction model in routine Chinese patients. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)41192-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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105
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Cheng Q, Roelofs E, Ramaekers B, Eekers D, Van Soest J, Hendriks T, Hoebers F, Dekker A, Lambin P. EP-1480: Development and validation of a proton decision support system comparing dose, toxicity and cost-effectiveness. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)41472-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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106
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Carvalho S, Leijenaar R, Troost E, Oberije C, Reymen B, Van Elmpt W, De Groot M, Bussink J, Meldolesi E, Valentini V, Dekker A, Lambin P. OC-0205: Prognostic value of pre-RT PET metrics of lymph nodes vs. primary tumor in NSCLC: which holds more information? Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40203-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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107
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Van Soest J, Marshall M, Van Stiphout R, Gatta R, Damiani A, Valentini V, Dekker A. PO-0701: Automated application of radiation oncology prediction models for clinical decision support. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40693-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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108
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Jochems A, Troost E, Dekker A, Lambin P, Oberije C. PO-0903: Improving prediction models in the era of rapid learning health care: weighting data to reflect relative importance. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40895-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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109
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Leijenaar R, Carvalho S, Buijsen J, Van Stiphout R, Valentini V, Dekker A, Lambin P. OC-0018: Predicting pathological response in rectal cancer patients: a "PET Radiomic" approach with independent validation. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40018-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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110
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Eblé PL, Orsel K, van Hemert-Kluitenberg F, Dekker A. Transmission characteristics and optimal diagnostic samples to detect an FMDV infection in vaccinated and non-vaccinated sheep. Vet Microbiol 2015; 177:69-77. [PMID: 25790732 DOI: 10.1016/j.vetmic.2015.02.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Revised: 02/09/2015] [Accepted: 02/13/2015] [Indexed: 10/23/2022]
Abstract
We wanted to quantify transmission of FMDV Asia-1 in sheep and to evaluate which samples would be optimal for detection of an FMDV infection in sheep. For this, we used 6 groups of 4 non-vaccinated and 6 groups of 4 vaccinated sheep. In each group 2 sheep were inoculated and contact exposed to 2 pen-mates. Viral excretion was detected for a long period (>21 days post-inoculation, dpi). Transmission of FMDV occurred in the non-vaccinated groups (R0=1.14) but only in the first week after infection, when virus shedding was highest. In the vaccinated groups no transmission occurred (Rv<1, p=0.013). The viral excretion of the vaccinated sheep and the viral load in their pens was significantly lower than that of the non-vaccinated sheep. FMDV could be detected in plasma samples from 12 of 17 infected non-vaccinated sheep, for an average of 2.1 days, but in none of the 10 infected vaccinated sheep. In contrast, FMDV could readily be isolated from mouth swab samples from both non-vaccinated and vaccinated infected sheep starting at 1-3 dpi and in 16 of 27 infected sheep up till 21 dpi. Serologically, after 3-4 weeks, all but one of the infected sheep were detected using the NS-ELISA. We conclude that vaccination of a sheep population would likely stop an epidemic of FMDV and that the use of mouth swab samples would be a good alternative (instead of using vesicular lesions or blood samples) to detect an FMD infection in a sheep population both early and prolonged after infection.
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111
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Jacobs M, Boersma L, Dekker A, Hermanns E, Houben R, Govers M, van Merode F, Lambin P. Organizational development trajectory of a large academic radiotherapy department set up similarly to a prospective clinical trial: the MAASTRO experience. Br J Radiol 2015; 88:20140559. [PMID: 25679320 PMCID: PMC4628468 DOI: 10.1259/bjr.20140559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Objective: To simultaneously improve patient care processes and clinical research activities by starting a hypothesis-driven reorganization trajectory mimicking the rigorous methodology of a prospective clinical trial. Methods: The design of this reorganization trajectory was based on the model of a prospective trial. It consisted of (1) listing problems and analysing their potential causes, (2) defining interventions, (3) defining end points and (4) measuring the effect of the interventions (i.e. at baseline and after 1 and 2 years). The primary end point for patient care was the number of organizational root causes of incidents/near incidents; for clinical research, it was the number of patients in trials. There were several secondary end points. We analysed the data using two sample z-tests, χ2 test, a Mann–Whitney U test and the one-way analysis of variance with Bonferroni correction. Results: The number of organizational root causes was reduced by 27% (p < 0.001). There was no effect on the percentage of patients included in trials. Conclusion: The reorganizational trajectory was successful for the primary end point of patient care and had no effect on clinical research. Some confounding events hampered our ability to draw strong conclusions. Nevertheless, the transparency of this approach can give medical professionals more confidence in moving forward with other organizational changes in the same way. Advances in knowledge: This article is novel because managerial interventions were set up similarly to a prospective clinical trial. This study is the first of its kind in radiotherapy, and this approach can contribute to discussions about the effectiveness of managerial interventions.
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Dekker A, Holloway L, Vinod S, Delaney G, Oberije C, Lambin P, Thwaites D. Rapid Learning in Practice: A Lung Cancer Survival Decision Support System in Routine Patient Care Data. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.1908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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113
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Tekleghiorghis T, Moormann RJM, Weerdmeester K, Dekker A. Foot-and-mouth Disease Transmission in Africa: Implications for Control, a Review. Transbound Emerg Dis 2014; 63:136-51. [PMID: 25052411 DOI: 10.1111/tbed.12248] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Indexed: 11/30/2022]
Abstract
In Africa, for the control of foot-and-mouth disease (FMD), more information is needed on the spread of the disease at local, regional and inter-regional level. The aim of this review is to identify the role that animal husbandry, trade and wildlife have on the transmission of FMD and to provide a scientific basis for different FMD control measures in Africa. Review of literature, published reports and databases shows that there is more long distance spread of FMD virus serotypes within North, West, Central and East Africa than in southern Africa. In North, West, Central and East Africa migratory animal husbandry systems often related with search for grazing and water as well as trade are practiced to a greater extent than in southern Africa. In southern Africa, the role of African buffalo (Syncerus caffer) is more extensively studied than in the other parts of Africa, but based on the densities of African buffalo in Central and East Africa, one would assume that buffalo should also play a role in the epidemiology of FMD in this part of Africa. More sampling of buffalo is necessary in West, Central and East Africa. The genetic analysis of virus strains has proven to be valuable to increase our understanding in the spread of FMD in Africa. This review shows that there is a difference in FMD occurrence between southern Africa and the rest of the continent; this distinction is most likely based on differences in animal husbandry and trade systems. Insufficient data on FMD in wildlife outside southern Africa is limiting our understanding on the role wildlife plays in the transmission of FMD in the other buffalo inhabited areas of Africa.
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Boqvist S, Dekker A, Depner K, Grace D, Hueston W, Stärk KDC, Sternberg Lewerin S. Contagious animal diseases: the science behind trade policies and standards. Vet J 2014; 202:7-10. [PMID: 25168718 DOI: 10.1016/j.tvjl.2014.06.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Revised: 06/23/2014] [Accepted: 06/26/2014] [Indexed: 11/17/2022]
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115
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Thwaites D, Dekker A, Holloway L, Vinod S, Delaney G, Goozee G, Bailey M, Miller A. The potential impact of datamining and rapid learning in radiotherapy: a lung cancer survival decision support system in routine clinical practice. Phys Med 2014. [DOI: 10.1016/j.ejmp.2014.07.185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Nalbantov G, Kietselaer B, Troost E, Berbee M, Smits K, Oberije C, Van Baardwijk A, Wanders R, Dekker A, Lambin P. PO-0682: Severity of cardiac comorbidity is associated with dyspnea in lung cancer patients: Preliminary results. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)30800-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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117
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Marshall M, Van den Berg K, Paulissen J, Lambin P, Dekker A. PO-0936: Towards trial eligibility support from unstructured data: making the best of uncertainty. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)31054-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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118
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Soman R, Dekker A, Emans D, Jacobs M, Backes H, Van Merode F. EP-1425: Prediction of waiting time for lung cancer patients. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)31543-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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119
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Meldolesi E, Van Soest J, Damiani A, Dekker A, Gambacorta M, Valentini V. PO-0710: Standardized data collection (SDC) for rectal cancer: Towards personalized medicine. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)30828-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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120
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Roelofs E, Dekker A, Meldolesi E, van Stiphout RGPM, Valentini V, Lambin P. International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining. Radiother Oncol 2013; 110:370-374. [PMID: 24309199 DOI: 10.1016/j.radonc.2013.11.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Revised: 10/12/2013] [Accepted: 11/02/2013] [Indexed: 10/26/2022]
Abstract
Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data.
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Nalbantov G, Kietselaer B, Vandecasteele K, Oberije C, Berbee M, Troost E, Dingemans AM, van Baardwijk A, Smits K, Dekker A, Bussink J, De Ruysscher D, Lievens Y, Lambin P. Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients. Radiother Oncol 2013; 109:100-6. [PMID: 24044794 DOI: 10.1016/j.radonc.2013.08.035] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2013] [Revised: 08/21/2013] [Accepted: 08/25/2013] [Indexed: 12/25/2022]
Abstract
PURPOSE To test the hypothesis that cardiac comorbidity before the start of radiotherapy (RT) is associated with an increased risk of radiation-induced lung toxicity (RILT) in lung cancer patients. MATERIAL AND METHODS A retrospective analysis was performed of a prospective cohort of 259 patients with locoregional lung cancer treated with definitive radio(chemo)therapy between 2007 and 2011 (ClinicalTrials.gov Identifiers: NCT00572325 and NCT00573040). We defined RILT as dyspnea CTCv.3.0 grade ≥2 within 6 months after RT, and cardiac comorbidity as a recorded treatment of a cardiac pathology at a cardiology department. Univariate and multivariate analyses, as well as external validation, were performed. The model-performance measure was the area under the receiver operating characteristic curve (AUC). RESULTS Prior to RT, 75/259 (28.9%) patients had cardiac comorbidity, 44% of whom (33/75) developed RILT. The odds ratio of developing RILT for patients with cardiac comorbidity was 2.58 (p<0.01). The cross-validated AUC of a model with cardiac comorbidity, tumor location, forced expiratory volume in 1s, sequential chemotherapy and pretreatment dyspnea score was 0.72 (p<0.001) on the training set, and 0.67 (p<0.001) on the validation set. CONCLUSION Cardiac comorbidity is an important risk factor for developing RILT after definite radio(chemo)therapy of lung cancer patients.
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Latifi K, Huang T, Feygelman V, Budzevich M, Stevens C, Dilling T, Moros E, Van Elmpt W, Dekker A, Zhang G. SU-E-J-66: Effects of Noise in 4D-CT On Deformable Image Registration and Derived Ventilation Data. Med Phys 2013. [DOI: 10.1118/1.4814278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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123
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Zhang G, Latifi K, Huang T, Feygelman V, Stevens C, Dilling T, Moros E, Elmpt WV, Dekker A. Effects of Noise in 4D CT on Deformable Image Registration and Derived Ventilation Data. Pract Radiat Oncol 2013; 3:S7-8. [DOI: 10.1016/j.prro.2013.01.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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124
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Tekleghiorghis T, Moormann RJM, Weerdmeester K, Dekker A. Serological Evidence Indicates that Foot-and-Mouth Disease Virus Serotype O, C and SAT1 are most Dominant in Eritrea. Transbound Emerg Dis 2013; 61:e83-8. [DOI: 10.1111/tbed.12065] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2012] [Indexed: 11/27/2022]
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125
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Dekker A, Nalbantov G, Oberije C, Wiessler W, Eble M, Dries W, Janvary L, Bulens P, Krishnapuram B, Lambin P. PD-0496: Multi-centric learning with a federated IT infrastructure: application to 2-year lung-cancer survival prediction. Radiother Oncol 2013. [DOI: 10.1016/s0167-8140(15)32802-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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