Now showing items 1-20 of 673

    • 12 new susceptibility loci for prostate cancer identified by genome-wide association study in Japanese population. 

      Takata, R; Takahashi, A; Fujita, M; Momozawa, Y; Saunders, EJ; Yamada, H; Maejima, K; Nakano, K; Nishida, Y; Hishida, A; Matsuo, K; Wakai, K; Yamaji, T; Sawada, N; Iwasaki, M; Tsugane, S; Sasaki, M; Shimizu, A; Tanno, K; Minegishi, N; Suzuki, K; Matsuda, K; Kubo, M; Inazawa, J; Egawa, S; Haiman, CA; Ogawa, O; Obara, W; Kamatani, Y; Akamatsu, S; Nakagawa, H (2019-09-27)
      Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations. We here performed a GWAS and replication study ...
    • 18F-FDG PET/CT in Detecting Metastatic Infection in Children. 

      Kouijzer, IJE; Blokhuis, GJ; Draaisma, JMT; Oyen, WJG; de Geus-Oei, L-F; Bleeker-Rovers, CP (2016-04)
      Purpose of the report Metastatic infection is a severe complication of bacteremia with high morbidity and mortality. The aim of this study was to investigate the diagnostic value of 18F-FDG PET combined with CT (FDG PET/CT) ...
    • 18F-FDG PET/CT in Local Ablative Therapies: A Systematic Review. 

      Aarntzen, EHJG; Heijmen, L; Oyen, WJG (2018-04)
      Driven by the continuous improvement in the accuracy of cross-sectional imaging, image-guided minimally invasive local ablative therapies have received incremental interest over the past few years. In this article, we ...
    • 18F-fluorodeoxyglucose positron-emission tomography combined with computed tomography as a diagnostic tool in native valve endocarditis. 

      Kouijzer, IJE; Berrevoets, MAH; Aarntzen, EHJG; de Vries, J; van Dijk, APJ; Oyen, WJG; de Geus-Oei, L-F; Bleeker-Rovers, CP (2018-08)
      OBJECTIVE:The aim of the study was to investigate the value of F-fluorodeoxyglucose positron-emission tomography combined with computed tomography (F-FDG-PET/CT) in diagnosing native valve endocarditis (NVE). PATIENTS AND ...
    • 3D tumour spheroids for the prediction of the effects of radiation and hyperthermia treatments. 

      Brüningk, SC; Rivens, I; Box, C; Oelfke, U; Ter Haar, G (2020-02-03)
      For multimodality therapies such as the combination of hyperthermia and radiation, quantification of biological effects is key for dose prescription and response prediction. Tumour spheroids have a microenvironment that ...
    • A cellular automaton model for spheroid response to radiation and hyperthermia treatments. 

      Brüningk, SC; Ziegenhein, P; Rivens, I; Oelfke, U; Haar, GT (2019-11-27)
      Thermo-radiosensitisation is a promising approach for treatment of radio-resistant tumours such as those containing hypoxic subregions. Response prediction and treatment planning should account for tumour response ...
    • A comparison of the diagnostic value of MRI and <sup>18</sup>F-FDG-PET/CT in suspected spondylodiscitis. 

      Smids, C; Kouijzer, IJE; Vos, FJ; Sprong, T; Hosman, AJF; de Rooy, JWJ; Aarntzen, EHJG; de Geus-Oei, L-F; Oyen, WJG; Bleeker-Rovers, CP (2017-02)
      Purpose The purpose of this study was to evaluate the diagnostic value of <sup>18</sup>F-fluorodeoxyglucose (FDG) positron emission tomography and computed tomography (PET/CT scan) and magnetic resonance imaging (MRI) in ...
    • A comprehensive model for heat-induced radio-sensitisation. 

      Brüningk, SC; Ijaz, J; Rivens, I; Nill, S; Ter Haar, G; Oelfke, U (2018-06)
      Combined radiotherapy (RT) and hyperthermia (HT) treatments may improve treatment outcome by heat induced radio-sensitisation. We propose an empirical cell survival model (AlphaR model) to describe this multimodality ...
    • A computerized volumetric segmentation method applicable to multi-centre MRI data to support computer-aided breast tissue analysis, density assessment and lesion localization. 

      Ertas, G; Doran, SJ; Leach, MO (2017-01)
      Density assessment and lesion localization in breast MRI require accurate segmentation of breast tissues. A fast, computerized algorithm for volumetric breast segmentation, suitable for multi-centre data, has been developed, ...
    • A Cross-Cancer Genetic Association Analysis of the DNA Repair and DNA Damage Signaling Pathways for Lung, Ovary, Prostate, Breast, and Colorectal Cancer. 

      Scarbrough, PM; Weber, RP; Iversen, ES; Brhane, Y; Amos, CI; Kraft, P; Hung, RJ; Sellers, TA; Witte, JS; Pharoah, P; Henderson, BE; Gruber, SB; Hunter, DJ; Garber, JE; Joshi, AD; McDonnell, K; Easton, DF; Eeles, R; Kote-Jarai, Z; Muir, K; Doherty, JA; Schildkraut, JM (2016-01)
      Background DNA damage is an established mediator of carcinogenesis, although genome-wide association studies (GWAS) have identified few significant loci. This cross-cancer site, pooled analysis was performed to increase ...
    • A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases. 

      Pathak, R; Ragheb, H; Thacker, NA; Morris, DM; Amiri, H; Kuijer, J; deSouza, NM; Heerschap, A; Jackson, A (2017-10-26)
      Apparent Diffusion Coefficient (ADC) is a potential quantitative imaging biomarker for tumour cell density and is widely used to detect early treatment changes in cancer therapy. We propose a strategy to improve confidence ...
    • A Dosimetric Comparison of Breast Radiotherapy Techniques to Treat Locoregional Lymph Nodes Including the Internal Mammary Chain. 

      Ranger, A; Dunlop, A; Hutchinson, K; Convery, H; Maclennan, MK; Chantler, H; Twyman, N; Rose, C; McQuaid, D; Amos, RA; Griffin, C; deSouza, NM; Donovan, E; Harris, E; Coles, CE; Kirby, A (2018-06)
      Aims Radiotherapy target volumes in early breast cancer treatment increasingly include the internal mammary chain (IMC). In order to maximise survival benefits of IMC radiotherapy, doses to the heart and lung should be ...
    • A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: A multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking. 

      Colvill, E; Booth, J; Nill, S; Fast, M; Bedford, J; Oelfke, U; Nakamura, M; Poulsen, P; Worm, E; Hansen, R; Ravkilde, T; Scherman Rydhög, J; Pommer, T; Munck Af Rosenschold, P; Lang, S; Guckenberger, M; Groh, C; Herrmann, C; Verellen, D; Poels, K; Wang, L; Hadsell, M; Sothmann, T; Blanck, O; Keall, P (2016-04)
      Purpose A study of real-time adaptive radiotherapy systems was performed to test the hypothesis that, across delivery systems and institutions, the dosimetric accuracy is improved with adaptive treatments over non-adaptive ...
    • A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images. 

      McClelland, JR; Modat, M; Arridge, S; Grimes, H; D'Souza, D; Thomas, D; Connell, DO; Low, DA; Kaza, E; Collins, DJ; Leach, MO; Hawkes, DJ (2017-06)
      Surrogate-driven respiratory motion models relate the motion of the internal anatomy to easily acquired respiratory surrogate signals, such as the motion of the skin surface. They are usually built by first using image ...
    • A genetic study and meta-analysis of the genetic predisposition of prostate cancer in a Chinese population. 

      Marzec, J; Mao, X; Li, M; Wang, M; Feng, N; Gou, X; Wang, G; Sun, Z; Xu, J; Xu, H; Zhang, X; Zhao, S-C; Ren, G; Yu, Y; Wu, Y; Wu, J; Xue, Y; Zhou, B; Zhang, Y; Xu, X; Li, J; He, W; Benlloch, S; Ross-Adams, H; Chen, L; Li, J; Hong, Y; Kote-Jarai, Z; Cui, X; Hou, J; Guo, J; Xu, L; Yin, C; Zhou, Y; Neal, DE; Oliver, T; Cao, G; Zhang, Z; Easton, DF; Chelala, C; PRACTICAL Consortium; CHIPGECS Group; Al Olama, AA; Eeles, RA; Zhang, H; Lu, Y-J (2016-04)
      Prostate cancer predisposition has been extensively investigated in European populations, but there have been few studies of other ethnic groups. To investigate prostate cancer susceptibility in the under-investigated ...
    • A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. 

      Scott, RA; Freitag, DF; Li, L; Chu, AY; Surendran, P; Young, R; Grarup, N; Stancáková, A; Chen, Y; Varga, TV; Yaghootkar, H; Luan, J; Zhao, JH; Willems, SM; Wessel, J; Wang, S; Maruthur, N; Michailidou, K; Pirie, A; van der Lee, SJ; Gillson, C; Al Olama, AA; Amouyel, P; Arriola, L; Arveiler, D; Aviles-Olmos, I; Balkau, B; Barricarte, A; Barroso, I; Garcia, SB; Bis, JC; Blankenberg, S; Boehnke, M; Boeing, H; Boerwinkle, E; Borecki, IB; Bork-Jensen, J; Bowden, S; Caldas, C; Caslake, M; CVD50 consortium; Cupples, LA; Cruchaga, C; Czajkowski, J; den Hoed, M; Dunn, JA; Earl, HM; Ehret, GB; Ferrannini, E; Ferrieres, J; Foltynie, T; Ford, I; Forouhi, NG; Gianfagna, F; Gonzalez, C; Grioni, S; Hiller, L; Jansson, J-H; Jørgensen, ME; Jukema, JW; Kaaks, R; Kee, F; Kerrison, ND; Key, TJ; Kontto, J; Kote-Jarai, Z; Kraja, AT; Kuulasmaa, K; Kuusisto, J; Linneberg, A; Liu, C; Marenne, G; Mohlke, KL; Morris, AP; Muir, K; Müller-Nurasyid, M; Munroe, PB; Navarro, C; Nielsen, SF; Nilsson, PM; Nordestgaard, BG; Packard, CJ; Palli, D; Panico, S; Peloso, GM; Perola, M; Peters, A; Poole, CJ; Quirós, JR; Rolandsson, O; Sacerdote, C; Salomaa, V; Sánchez, M-J; Sattar, N; Sharp, SJ; Sims, R; Slimani, N; Smith, JA; Thompson, DJ; Trompet, S; Tumino, R; van der A, DL; van der Schouw, YT; Virtamo, J; Walker, M; Walter, K; GERAD_EC Consortium; Neurology Working Group of the Cohorts for Heart; Aging Research in Genomic Epidemiology (CHARGE); Alzheimer’s Disease Genetics Consortium; Pancreatic Cancer Cohort Consortium; European Prospective Investigation into Cancer and Nutrition–Cardiovascular Disease (EPIC-CVD); EPIC-InterAct; Abraham, JE; Amundadottir, LT; Aponte, JL; Butterworth, AS; Dupuis, J; Easton, DF; Eeles, RA; Erdmann, J; Franks, PW; Frayling, TM; Hansen, T; Howson, JMM; Jørgensen, T; Kooner, J; Laakso, M; Langenberg, C; McCarthy, MI; Pankow, JS; Pedersen, O; Riboli, E; Rotter, JI; Saleheen, D; Samani, NJ; Schunkert, H; Vollenweider, P; O'Rahilly, S; CHARGE consortium; CHD Exome+ Consortium; CARDIOGRAM Exome Consortium; Deloukas, P; Danesh, J; Goodarzi, MO; Kathiresan, S; Meigs, JB; Ehm, MG; Wareham, NJ; Waterworth, DM (2016-06)
      Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic ...
    • A kernel-based dose calculation algorithm for kV photon beams with explicit handling of energy and material dependencies. 

      Reinhart, AM; Fast, MF; Ziegenhein, P; Nill, S; Oelfke, U (2017-01)
      Objective Mimicking state-of-the-art patient radiotherapy with high-precision irradiators for small animals is expected to advance the understanding of dose-effect relationships and radiobiology in general. We work on the ...
    • A Monte Carlo study of the effect of an ultrasound transducer on surface dose during intrafraction motion imaging for external beam radiation therapy. 

      Martyn, M; O'Shea, TP; Harris, E; Bamber, J; Gilroy, S; Foley, MJ (2017-10)
      Purpose The aim of this study was to estimate changes in surface dose due to the presence of the Clarity Autoscan™ ultrasound (US) probe during prostate radiotherapy using Monte Carlo (MC) methods.Methods MC models of the ...
    • A multicentre study of the evidence for customized margins in photon breast boost radiotherapy. 

      Harris, EJ; Mukesh, MB; Donovan, EM; Kirby, AM; Haviland, JS; Jena, R; Yarnold, J; Baker, A; Dean, J; Eagle, S; Mayles, H; Griffin, C; Perry, R; Poynter, A; Coles, CE; Evans, PM; IMPORT high trialists (2016-01)
      Objective To determine if subsets of patients may benefit from smaller or larger margins when using laser setup and bony anatomy verification of breast tumour bed (TB) boost radiotherapy (RT).Methods Verification imaging ...
    • A new method for the high-precision assessment of tumor changes in response to treatment. 

      Tar, PD; Thacker, NA; Babur, M; Watson, Y; Cheung, S; Little, RA; Gieling, RG; Williams, KJ; O'Connor, JPB (2018-08)
      Motivation:Imaging demonstrates that preclinical and human tumors are heterogeneous, i.e. a single tumor can exhibit multiple regions that behave differently during both development and also in response to treatment. The ...