757 results on '"Goh V"'
Search Results
52. 1161P Can 18F-FDG-PET/CT predict PD-L1 expression in resected non-small cell lung cancer (NSCLC)?
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Hughes, D.J., primary, Hunter, S., additional, Nonaka, D., additional, Goh, V., additional, Bille, A., additional, Karapanagiotou, E., additional, and Cook, G., additional
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- 2021
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53. Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography
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Miles, K. A., Lee, T.-Y., Goh, V., Klotz, E., Cuenod, C., Bisdas, S., Groves, A. M., Hayball, M. P., Alonzi, R., Brunner, T., and on behalf of the Experimental Cancer Medicine Centre Imaging Network Group
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- 2012
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54. Functional imaging techniques in hepatocellular carcinoma
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Goh, V., Sarker, D., Osmany, S., and Cook, G. J. R.
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- 2012
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55. Still a long way to go to achieve multidisciplinarity for the benefit of patients: commentary on the ESMO position paper (Annals of Oncology 25(1): 9–15, 2014)
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Valentini, V., Abrahamsson, P.-A., Aranda, S. K., Astier, A., Audisio, R. A., Boniol, M., Bonomo, L., Brunelli, A., Bultz, B., Chiti, A., De Lorenzo, F., Eriksen, J. G., Goh, V., Gospodarowicz, M. K., Grassi, L., Kelly, J., Kortmann, R. D., Kutluk, T., Plate, A., Poston, G., Saarto, T., Soffietti, R., Torresin, A., van Harten, W. H., Verzijlbergen, J. F., von Kalle, C., and Poortmans, P.
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- 2014
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56. Professional development and research are being neglected: a commentary on the 2019 RCR radiologists' supporting professional activities (SPA) survey
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Hoggard, Nigel, Booth, Tom, Messiou, Christina, The, James, Plumb, Andrew, Bidaut, Luc, Turmezei, Tom, Jethwa, Ketan, Robinson, Philip, Hall-Craggs, Margaret, Arthurs, O.J., and Goh, V.
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- 2020
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57. Role of molecular functional imaging in present era of evidence based cancer medicine: to image or to imagine?
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Mahajan, A, Cook, G, Goh, V, Basu, S, Thakur, M, and Weeks, A
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- 2015
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58. Effects of body composition as measured by CT on clinical outcomes in patients with oesophageal cancer
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Mahajan, A, Cook, G, Goh, V, Yip, C, and Siddique, MM
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- 2015
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59. P-284 Exploratory magnetic resonance imaging histogram biomarkers for response prediction to neoadjuvant treatment in oesophageal/gastro-oesophageal cancer
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Owczarczyk, K., primary, Withey, S., additional, Grzeda, M., additional, Yip, C., additional, Qureshi, A., additional, Gossage, J., additional, Davies, A., additional, Cook, G., additional, and Goh, V., additional
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- 2021
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60. Tubal Embryo Transfer (TET) for the Treatment of Couples with Oligo-Asthenospermia
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Wong, P. C., Hagglund, L. B. G., Chan, C. L. K., Wong, Y. C., Anandakumar, C., Goh, V. H. H., Ng, S. C., Bongso, A., Ratnam, S. S., Mashiach, Shlomo, editor, Ben-Rafael, Zion, editor, Laufer, Neri, editor, and Schenker, Joseph G., editor
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- 1990
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61. Predictors of patient preference for either whole body magnetic resonance imaging (WB-MRI) or CT/ PET-CT for staging colorectal or lung cancer
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Miles, Anne, Evans, Ruth, Halligan, S., Beare, S., Bridgewater, J., Goh, V., Janes, S., Navani, N., Oliver, A., Morton, A., Morris, S., Rockall, A., and Taylor, S.
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psyc - Abstract
Introduction: Whole body magnetic resonance imaging (WB-MRI) may be more efficient in staging cancers, but can be harder for patients to tolerate. We examined predictors of patient preference for WB-MRI vs. CT/ PET-CT for staging colorectal or lung cancer. \ud Methods: Patients recruited prospectively to two multicenter trials comparing diagnostic accuracy of WB-MRI with standard staging scans were sent two questionnaires: the first, administered at trial registration, captured demographics, educational level, and comorbidities; the second, administered after staging completion, measured emotional distress (GHQ-12), positive mood (PANAS), perceived scan burden, patients’ beliefs about WB-MRI, and preference for either WB-MRI or CT (colorectal trial), WB-MRI or PET-CT (lung trial). Preference for WB-MRI or CT / PET-CT were analysed using logistic regression. \ud Results: Baseline and post-staging questionnaires were completed by 97 and 107 patients respectively. Overall, 56/107 (52%) preferred WB-MRI over standard scans, and were more likely to have no additional comorbidities, higher positive mood, greater awareness of potential benefits of WB-MRI, and lower levels of perceived WB-MRI scan burden. In adjusted analyses, only awareness of potential WB-MRI benefits remained a significant predictor (OR: 1.516, 95% CIs 1.006 to 2.284, p=0.047). Knowledge that WB-MRI does not use radiation predicted preference (adjusted OR: 3.018, 95% CIs 1.099 to 8.288, p=0.032), yet only 45/107 (42%) patients were aware of this attribute. \ud Conclusions: A small majority of patients undergoing staging of colorectal or lung cancer prefer WB-MRI to CT/ PET-CT. Raising awareness of the potential benefits of WB-MRI, notably lack of ionising radiation, could influence preference.
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- 2020
62. 1283P Predicting PD-L1 expression using [18F]FDG PET/CT in early stage non-small cell lung cancer (NSCLC)
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Hughes, D.J., Josephides, E., O'Shea, R., Manickavasagar, T., Horst, C., Hunter, S., Taniere, P., Nonaka, D., Spicer, J., Goh, V., Bille, A., Karapanagiotou, E.M., and Cook, G.
- Published
- 2023
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63. Imaging tumor angiogenesis: functional assessment using MDCT or MRI?
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Goh, V. and Padhani, A. R.
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- 2006
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64. Clinical Relevance of the Tumor Location-Modified Laurén Classification System for Gastric Cancer in a Western Population.
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Moore, J. L., Davies, A. R., Santaolalla, A., Van Hemelrijck, M., Maisey, N., Lagergren, J., Gossage, J. A., Kelly, M., Baker, C. R., on behalf of the Guy's and St. Thomas' Esophago-gastric Research Group, Jacques, A., Griffin, N., Goh, V., Ngan, S., Lumsden, A., Owczarczyk, K., Qureshi, A., Deere, H., Green, M., and Chang, F.
- Abstract
Background: The Tumor Location-Modified Laurén Classification (MLC) system combines Laurén histologic subtype and anatomic tumor location. It divides gastric tumors into proximal non-diffuse (PND), distal non-diffuse (DND), and diffuse (D) types. The optimum classification of patients with Laurén mixed tumors in this system is not clear due to its grouping with both diffuse and non-diffuse types in previous studies. The clinical relevance of the MLC in a Western population has not been examined. Methods: A cohort study investigated 404 patients who underwent gastrectomy for gastric adenocarcinoma between 2005 and 2020. The classification of Laurén mixed tumors was evaluated using receiver operating characteristic (ROC) curve analysis and comparison of clinicopathologic characteristics (chi-square). Survival analysis was performed using multivariable Cox regression. Results: The ROC curve analysis demonstrated a slightly higher area under the curve value for predicting survival when Laurén mixed tumors were grouped with intestinal-type rather than diffuse-type tumors (0.58 vs 0.57). Survival, tumor recurrence, and resection margin positivity in mixed tumors also was more similar to intestinal type. Distal non-diffuse tumors had the best 5-year survival (DND 64.7 % vs PND 56.1 % vs diffuse 45.1 %; p = 0.006) and were least likely to have recurrence (DND 27.0 % vs PND 34.3 % vs diffuse 48.3 %; p = 0.001). Multivariable analysis demonstrated that MLC was an independent prognostic factor for survival (PND: hazard ratio [HR], 1.64; 95 % confidence interval [CI], 1.16–2.32 vs diffuse: HR, 2.20; 95 % CI, 1.56–3.09) Conclusions: The MLC was an independent prognostic marker in this Western cohort of patients with gastric adenocarcinoma. The patients with PND and D tumors had worse survival than those with DND tumors. [ABSTRACT FROM AUTHOR]
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- 2022
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65. Is modern day MRI better than ct for assessment of desmoid tumours in familial adenomatous polyposis?: 029
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Bhandari, S., Sinha, A., Hansmann, A., Gupta, A., Burling, D., Goh, V., Phillips, R. K., and Clark, S. K.
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- 2011
66. The National Institute for Health Research: making an impact in imaging research
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Smye, S.W., Allen, L., Ashcroft, J., Cooper, M., Gilbert, F.J., Goh, V., Graham, R., Keevil, S., Matthews, J., Mould, A., Nall, S., Papadopoulou, A., Snaith, B., Wadsley, J., Wilson, P., Arthurs, O.J., Baxter, G.M., Beale, A., Bidaut, L., Booth, T., Callaway, M., Denison, A., Hall-Craggs, M., Harden, S.P., Hoggard, N., Jethwa, K.D., Messiou, C., Mistry, M., Ramsden, W.H., Robinson, P., Rubin, C.M.E., Strickland, N.H., and Teh, J.
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- 2019
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67. Endoscopic tumour morphology impacts survival in adenocarcinoma of the oesophagus
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Knight, William R.C., primary, McEwen, Ricardo, additional, Byrne, Ben E., additional, Habib, Wais, additional, Bott, Rebecca, additional, Zylstra, Janine, additional, Mahadeva, Ula, additional, Gossage, James A., additional, Fitzgerald, R.C., additional, Noorani, A., additional, Edwards, P.A.W., additional, Grehan, N., additional, Nutzinger, B., additional, Hughes, C., additional, Fidziukiewicz, E., additional, MacRae, S., additional, Northrop, A., additional, Contino, G., additional, Li, X., additional, de la Rue, R., additional, Katz-Summercorn, A., additional, Abbas, S., additional, Loureda, D., additional, O'Donovan, M., additional, Miremadi, A., additional, Malhotra, S., additional, Tripathi, M., additional, Tavaré, S., additional, Lynch, A.G., additional, Eldridge, M., additional, Secrier, M., additional, Devonshire, G., additional, Perner, J., additional, Jammula, S., additional, Davies, J., additional, Crichton, C., additional, Carroll, N., additional, Safranek, P., additional, Hindmarsh, A., additional, Sujendran, V., additional, Hayes, S.J., additional, Ang, Y., additional, Sharrocks, A., additional, Preston, S.R., additional, Oakes, S., additional, Bagwan, I., additional, Save, V., additional, Skipworth, R.J.E., additional, Hupp, T.R., additional, O'Neill, J.R., additional, Tucker, O., additional, Beggs, A., additional, Taniere, P., additional, Puig, S., additional, Underwood, T.J., additional, Walker, R.C., additional, Grace, B.L., additional, Barr, H., additional, Shepherd, N., additional, Old, O., additional, Lagergren, J., additional, Davies, A., additional, Chang, F., additional, Goh, V., additional, Ciccarelli, F.D., additional, Sanders, G., additional, Berrisford, R., additional, Harden, C., additional, Lewis, M., additional, Cheong, E., additional, Kumar, B., additional, Parsons, S.L., additional, Soomro, I., additional, Kaye, P., additional, Saunders, J., additional, Lovat, L., additional, Haidry, R., additional, Igali, L., additional, Scott, M., additional, Sothi, S., additional, Suortamo, S., additional, Lishman, S., additional, Hanna, G.B., additional, Moorthy, K., additional, Peters, C.J., additional, Grabowska, A., additional, Turkington, R., additional, McManus, D., additional, Coleman, H., additional, Khoo, D., additional, and Fickling, W., additional
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- 2020
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68. SO-14 Baseline diffusion-weighted magnetic resonance imaging features to predict recurrence of anal squamous cell carcinoma following chemoradiotherapy
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Owczarczyk, K., primary, Kozarski, R., additional, Qureshi, A., additional, Gaya, A., additional, Siddique, M., additional, Cook, G., additional, Glynne-Jones, R., additional, and Goh, V., additional
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- 2020
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69. Professional development and research are being neglected: a commentary on the 2019 RCR radiologists' supporting professional activities (SPA) survey
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Arthurs, O.J., primary, Goh, V., additional, Hoggard, Nigel, additional, Booth, Tom, additional, Messiou, Christina, additional, The, James, additional, Plumb, Andrew, additional, Bidaut, Luc, additional, Turmezei, Tom, additional, Jethwa, Ketan, additional, Robinson, Philip, additional, and Hall-Craggs, Margaret, additional
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- 2020
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70. Patient deprivation and perceived scan burden negatively impact the quality of whole-body MRI
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Evans, R.E.C., primary, Taylor, S.A., additional, Kalasthry, J., additional, Sakai, N.S., additional, Miles, A., additional, Aboagye, A., additional, Agoramoorthy, L., additional, Ahmed, S., additional, Amadi, A., additional, Anand, G., additional, Atkin, G., additional, Austria, A., additional, Ball, S., additional, Bazari, F., additional, Beable, R., additional, Beare, S., additional, Beedham, H., additional, Beeston, T., additional, Bharwani, N., additional, Bhatnagar, G., additional, Bhowmik, A., additional, Blakeway, L., additional, Blunt, D., additional, Boavida, P., additional, Boisfer, D., additional, Breen, D., additional, Bridgewater, J., additional, Burke, S., additional, Butawan, R., additional, Campbell, Y., additional, Chang, E., additional, Chao, D., additional, Chukundah, S., additional, Clarke, C.S., additional, Collins, B., additional, Collins, C., additional, Conteh, V., additional, Couture, J., additional, Crosbie, J., additional, Curtis, H., additional, Daniel, A., additional, Davis, L., additional, Desai, K., additional, Duggan, M., additional, Ellis, S., additional, Elton, C., additional, Engledow, A., additional, Everitt, C., additional, Ferdous, S., additional, Frow, A., additional, Furneaux, M., additional, Gibbons, N., additional, Glynne-Jones, R., additional, Gogbashian, A., additional, Goh, V., additional, Gourtsoyianni, S., additional, Green, A., additional, Green, Laura, additional, Green, Liz, additional, Groves, A., additional, Guthrie, A., additional, Hadley, E., additional, Halligan, S., additional, Hameeduddin, A., additional, Hanid, G., additional, Hans, S., additional, Hans, B., additional, Higginson, A., additional, Honeyfield, L., additional, Hughes, H., additional, Hughes, J., additional, Hurl, L., additional, Isaac, E., additional, Jackson, M., additional, Jalloh, A., additional, Janes, S., additional, Jannapureddy, R., additional, Jayme, A., additional, Johnson, A., additional, Johnson, E., additional, Julka, P., additional, Karapanagiotou, E., additional, Karp, S., additional, Kay, C., additional, Kellaway, J., additional, Khan, S., additional, Koh, D., additional, Light, T., additional, Limbu, P., additional, Lock, S., additional, Locke, I., additional, Loke, T., additional, Lowe, A., additional, Lucas, N., additional, Maheswaran, S., additional, Mallett, S., additional, Marwood, E., additional, McGowan, J., additional, Mckirdy, F., additional, Mills-Baldock, T., additional, Moon, T., additional, Morgan, V., additional, Morris, S., additional, Morton, A., additional, Nasseri, S., additional, Navani, N., additional, Nichols, P., additional, Norman, C., additional, Ntala, E., additional, Nunes, A., additional, Obichere, A., additional, O'Donohue, J., additional, Olaleye, I., additional, Oliver, A., additional, Onajobi, A., additional, O'Shaughnessy, T., additional, Padhani, A., additional, Pardoe, H., additional, Partridge, W., additional, Patel, U., additional, Perry, K., additional, Piga, W., additional, Prezzi, D., additional, Prior, K., additional, Punwani, S., additional, Pyers, J., additional, Rafiee, H., additional, Rahman, F., additional, Rajanpandian, I., additional, Ramesh, S., additional, Raouf, S., additional, Reczko, K., additional, Reinhardt, A., additional, Robinson, D., additional, Rockall, A., additional, Russell, P., additional, Sargus, K., additional, Scurr, E., additional, Shahabuddin, K., additional, Sharp, A., additional, Shepherd, B., additional, Shiu, K., additional, Sidhu, H., additional, Simcock, I., additional, Simeon, C., additional, Smith, A., additional, Smith, D., additional, Snell, D., additional, Spence, J., additional, Srirajaskanthan, R., additional, Stachini, V., additional, Stegner, S., additional, Stirling, J., additional, Strickland, N., additional, Tarver, K., additional, Teague, J., additional, Thaha, M., additional, Train, M., additional, Tulmuntaha, S., additional, Tunariu, N., additional, van Ree, K., additional, Verjee, A., additional, Wanstall, C., additional, Weir, S., additional, Wijeyekoon, S., additional, Wilson, J., additional, Wilson, S., additional, Win, T., additional, Woodrow, L., additional, and Yu, D., additional
- Published
- 2020
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71. The National Institute for Health Research: making an impact in imaging research
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Goh, V., primary, Smye, S.W., additional, Allen, L., additional, Ashcroft, J., additional, Cooper, M., additional, Gilbert, F.J., additional, Goh, V., additional, Graham, R., additional, Keevil, S., additional, Matthews, J., additional, Mould, A., additional, Nall, S., additional, Papadopoulou, A., additional, Snaith, B., additional, Wadsley, J., additional, Wilson, P., additional, Arthurs, O.J., additional, Baxter, G.M., additional, Beale, A., additional, Bidaut, L., additional, Booth, T., additional, Callaway, M., additional, Denison, A., additional, Hall-Craggs, M., additional, Harden, S.P., additional, Hoggard, N., additional, Jethwa, K.D., additional, Messiou, C., additional, Mistry, M., additional, Ramsden, W.H., additional, Robinson, P., additional, Rubin, C.M.E., additional, Strickland, N.H., additional, and Teh, J., additional
- Published
- 2019
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- View/download PDF
72. Is direct radiologist supervision of abdominal computed tomography (CT) scans necessary?
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Goh, V., Halligan, S., Anderson, J.M., Hugill, J., and Leonard, A.
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- 2005
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73. Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma
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Mourikis, TP, Benedetti, L, Foxall, E, Temelkovski, D, Nulsen, J, Perner, J, Cereda, M, Lagergren, J, Howell, M, Yau, C, Fitzgerald, RC, Scaffidi, P, Noorani, A, Edwards, PAW, Elliott, RF, Grehan, N, Nutzinger, B, Hughes, C, Fidziukiewicz, E, Bornschein, J, MacRae, S, Crawte, J, Northrop, A, Contino, G, Li, X, De la Rue, R, Katz-Summercorn, A, Abbas, S, Loureda, D, O'Donovan, M, Miremadi, A, Malhotra, S, Tripathi, M, Tavare, S, Lynch, AG, Eldridge, M, Secrier, M, Bower, L, Devonshire, G, Jammula, S, Davies, J, Crichton, C, Carroll, N, Safranek, P, Hindmarsh, A, Sujendran, V, Hayes, SJ, Ang, Y, Sharrocks, A, Preston, SR, Oakes, S, Bagwan, I, Save, V, Skipworth, RJE, Hupp, TR, O'Neill, JR, Tucker, O, Beggs, A, Taniere, P, Puig, S, Underwood, TJ, Walker, RC, Grace, BL, Barr, H, Shepherd, N, Old, O, Gossage, J, Davies, A, Chang, F, Zylstra, J, Mahadeva, U, Goh, V, Sanders, G, Berrisford, R, Harden, C, Lewis, M, Cheong, E, Kumar, B, Parsons, SL, Soomro, I, Kaye, P, Saunders, J, Lovat, L, Haidry, R, Igali, L, Scott, M, Sothi, S, Suortamo, S, Lishman, S, Hanna, GB, Peters, CJ, Moorthy, K, Grabowska, A, Turkington, R, McManus, D, Khoo, D, Fickling, W, Ciccarelli, FD, Mourikis, Thanos P. [0000-0002-8026-8837], Foxall, Elizabeth [0000-0003-1995-5547], Scaffidi, Paola [0000-0002-3642-4193], and Apollo - University of Cambridge Repository
- Subjects
EXPRESSION ,SELECTION ,631/67 ,DATABASE ,PROTEIN ,38/90 ,631/67/69 ,13/109 ,VARIANTS ,13/44 ,GERMLINE ,MD Multidisciplinary ,38/23 ,38/22 ,38/88 ,Science & Technology ,631/67/1504/1477 ,article ,Multidisciplinary Sciences ,13/31 ,BARRETTS-ESOPHAGUS ,REPLICATION ,PATTERNS ,38/77 ,Science & Technology - Other Topics ,UPDATE ,Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium - Abstract
The identification of cancer-promoting genetic alterations is challenging particularly in highly unstable and heterogeneous cancers, such as esophageal adenocarcinoma (EAC). Here we describe a machine learning algorithm to identify cancer genes in individual patients considering all types of damaging alterations simultaneously. Analysing 261 EACs from the OCCAMS Consortium, we discover helper genes that, alongside well-known drivers, promote cancer. We confirm the robustness of our approach in 107 additional EACs. Unlike recurrent alterations of known drivers, these cancer helper genes are rare or patient-specific. However, they converge towards perturbations of well-known cancer processes. Recurrence of the same process perturbations, rather than individual genes, divides EACs into six clusters differing in their molecular and clinical features. Experimentally mimicking the alterations of predicted helper genes in cancer and pre-cancer cells validates their contribution to disease progression, while reverting their alterations reveals EAC acquired dependencies that can be exploited in therapy.
- Published
- 2019
74. Optimising RT dose for anal cancer - the development of three clinical trials in one platform
- Author
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Sebag-Montefiore, D, Adams, R, Bell, S, Berkman, L, Gilbert, D, Glynne-Joones, R, Goh, V, Gregory, W, Harrison, M, Kachnic, L, Lee, M, McParland, L, Muirhead, R, O'Neil, B, Hutchins, G, Rao, S, Renehan, A, Smith, A, Velikova, G, and Hawkins, M
- Published
- 2019
- Full Text
- View/download PDF
75. Patient preferences for whole body MRI or conventional staging pathways in lung and colorectal cancer: a discrete choice experiment
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Miles, Anne, Taylor, S.A., Evans, R.E.C., Halligan, S., Beare, S., Bridgewater, J., Goh, V., Janes, S., Navani, N., Oliver, A., Morton, A., Rockall, A., Clarke, C.S., and Morris, S.
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psyc - Abstract
Objectives: To determine the importance placed by patients on attributes associated with whole body MRI (WB-MRI) and standard cancer staging pathways, and ascertain drivers of preference. \ud Methods: Patients recruited to two multi-centre diagnostic accuracy trials comparing WB-MRI with standard staging pathways in lung and colorectal cancer were invited to complete a discrete choice experiment (DCE), choosing between a series of alternate pathways in which 6 attributes (accuracy, time to diagnosis, scan duration, whole body enclosure, radiation exposure, total scan number) were varied systematically. Data were analysed using a conditional logit regression model and marginal rates of substitution computed. The relative importance of each attribute and probabilities of choosing WB-MRI based pathways were estimated.\ud Results: 138 patients (mean age 65, 61% male, lung n=72, colorectal n=66) participated (May 2015 to September 2016). Lung cancer patients valued, time to diagnosis most highly, followed by accuracy, radiation exposure, number of scans and time in the scanner. Colorectal cancer patients valued accuracy most highly, followed by time to diagnosis, radiation exposure and number of scans. Patients were willing wait 0.29 (lung), 0.45 (colorectal) weeks for a 1% increase in pathway accuracy. Patients preferred WB-MRI based pathways (probability 0.64 [lung], 0.66 [colorectal]) if they were equivalent in accuracy, total scan number, and time to diagnosis compared to a standard staging pathway. \ud Conclusions: Staging pathways based on first line WB-MRI are preferred by the majority of patients if they at least match standard pathways for diagnostic accuracy, time to diagnosis and total scan number.
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- 2019
76. Patient preferences for whole-body MRI or conventional staging pathways in lung and colorectal cancer: a discrete choice experiment
- Author
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Miles, A, Taylor, SA, Evans, REC, Halligan, S, Beare, S, Bridgewater, J, Goh, V, Janes, S, Navani, N, Oliver, A, Morton, A, Rockall, A, Clarke, CS, Morris, S, Aboagye, A, Agoramoorthy, L, Ahmed, S, Amadi, A, Anand, G, Atkin, G, Austria, A, Ball, S, Bazari, F, Beable, R, Beedham, H, Beeston, T, Bharwani, N, Bhatnagar, G, Bhowmik, A, Blakeway, L, Blunt, D, Boavida, P, Boisfer, D, Breen, D, Burke, S, Butawan, R, Campbell, Y, Chang, E, Chao, D, Chukundah, S, Collins, B, Collins, C, Conteh, V, Couture, J, Crosbie, J, Curtis, H, Daniel, A, Davis, L, Desai, K, Duggan, M, Ellis, S, Elton, C, Engledow, A, Everitt, C, Ferdous, S, Frow, A, Furneaux, M, Gibbons, N, Glynne-Jones, R, Gogbashian, A, Gourtsoyianni, S, Green, A, Green, L, Groves, A, Guthrie, A, Hadley, E, Hameeduddin, A, Hanid, G, Hans, S, Hans, B, Higginson, A, Honeyfield, L, Hughes, H, Hughes, J, Hurl, L, Isaac, E, Jackson, M, Jalloh, A, Jannapureddy, R, Jayme, A, Johnson, A, Johnson, E, Julka, P, Kalasthry, J, Karapanagiotou, E, Karp, S, Kay, C, Kellaway, J, Khan, S, Koh, D-M, Light, T, Limbu, P, Lock, S, Locke, I, Loke, T, Lowe, A, Lucas, N, Maheswaran, S, Mallett, S, Marwood, E, McGowan, J, Mckirdy, F, Mills-Baldock, T, Moon, T, Morgan, V, Nasseri, S, Nichols, P, Norman, C, Ntala, E, Nunes, A, Obichere, A, O'Donohue, J, Olaleye, I, Onajobi, A, O'Shaughnessy, T, Padhani, A, Pardoe, H, Partridge, W, Patel, U, Perry, K, Piga, W, Prezzi, D, Prior, K, Punwani, S, Pyers, J, Rafiee, H, Rahman, F, Rajanpandian, I, Ramesh, S, Raouf, S, Reczko, K, Reinhardt, A, Robinson, D, Russell, P, Sargus, K, Scurr, E, Shahabuddin, K, Sharp, A, Shepherd, B, Shiu, K, Sidhu, H, Simcock, I, Simeon, C, Smith, A, Smith, D, Snell, D, Spence, J, Srirajaskanthan, R, Stachini, V, Stegner, S, Stirling, J, Strickland, N, Tarver, K, Teague, J, Thaha, M, Train, M, Tulmuntaha, S, Tunariu, N, Van Ree, K, Verjee, A, Wanstall, C, Weir, S, Wijeyekoon, S, Wilson, J, Wilson, S, Win, T, Woodrow, L, Yu, D, Imperial College Healthcare NHS Trust- BRC Funding, and Department of Health
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Adult ,Male ,Positron emission tomography ,Lung Neoplasms ,Social Sciences ,X-ray computed ,Magnetic resonance imaging ,Psychology, Multidisciplinary ,Positron Emission Tomography Computed Tomography ,Surveys and Questionnaires ,Psychology ,Humans ,Whole Body Imaging ,Patient preference ,Prospective Studies ,Tomography ,Cancer ,Aged ,Neoplasm Staging ,Science & Technology ,Radiology, Nuclear Medicine & Medical Imaging ,Tomography, X-ray computed ,1103 Clinical Sciences ,CARE ,Middle Aged ,NEGATIVE AFFECT ,Biomedical Social Sciences ,Social Sciences, Biomedical ,Nuclear Medicine & Medical Imaging ,PANAS ,Oncology ,Positron-Emission Tomography ,Regression Analysis ,CLAUSTROPHOBIA ,Female ,STREAMLINE investigators ,Colorectal Neoplasms ,Life Sciences & Biomedicine - Abstract
Objectives To determine the importance placed by patients on attributes associated with whole-body MRI (WB-MRI) and standard cancer staging pathways and ascertain drivers of preference. Methods Patients recruited to two multi-centre diagnostic accuracy trials comparing WB-MRI with standard staging pathways in lung and colorectal cancer were invited to complete a discrete choice experiment (DCE), choosing between a series of alternate pathways in which 6 attributes (accuracy, time to diagnosis, scan duration, whole-body enclosure, radiation exposure, total scan number) were varied systematically. Data were analysed using a conditional logit regression model and marginal rates of substitution computed. The relative importance of each attribute and probabilities of choosing WB-MRI-based pathways were estimated. Results A total of 138 patients (mean age 65, 61% male, lung n = 72, colorectal n = 66) participated (May 2015 to September 2016). Lung cancer patients valued time to diagnosis most highly, followed by accuracy, radiation exposure, number of scans, and time in the scanner. Colorectal cancer patients valued accuracy most highly, followed by time to diagnosis, radiation exposure, and number of scans. Patients were willing to wait 0.29 (lung) and 0.45 (colorectal) weeks for a 1% increase in pathway accuracy. Patients preferred WB-MRI-based pathways (probability 0.64 [lung], 0.66 [colorectal]) if they were equivalent in accuracy, total scan number, and time to diagnosis compared with a standard staging pathway. Conclusions Staging pathways based on first-line WB-MRI are preferred by the majority of patients if they at least match standard pathways for diagnostic accuracy, time to diagnosis, and total scan number.
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- 2019
77. The National Institute for Health Research: making an impact in imaging research
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Goh, V, National Institute For Health Research Clinical Research Network Imaging Network Steering Group, Committee, Royal College Of Radiologists' Academic, and Apollo - University of Cambridge Repository
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Diagnostic Imaging ,Biomedical Research ,Academies and Institutes ,Humans ,Organizational Objectives ,State Medicine ,United Kingdom - Abstract
Since the inception of the National Institute for Health Research (NIHR) in 2006, the landscape for the delivery of clinical research within the National Health Service (NHS) has been transformed. Clinical radiology has benefitted from funding opportunities for primary imaging research as well as improvements to the supporting research infrastructure to provide imaging for many clinical trials; however, in an increasingly challenging NHS environment, the NIHR and clinical radiology have to evolve an effective working partnership to ensure imaging research is sustainable and will make an impact. A number of initiatives have arisen from discussions between the NIHR, the Royal College of Radiologists (RCR), and stakeholders that will be discussed in this article. It is hoped that these initiatives will be embraced by the imaging community and create a more dynamic sustainable imaging workforce, driving and supporting research and innovation towards future sustainability.
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- 2019
78. The Image Biomarker Standardization Initiative: standardized quantitative radiomics for highthroughput image-based phenotyping
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Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, L., Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M.-C., Dinapoli, N., Viet Dinh, C., Echegaray, S., El Naqa, I., Fedorov, A. Y., Gatta, R., Gillies, R. J., Goh, V., Guckenberger, M., Götz, M., Min Ha, S., Hatt, M., Isensee, F., Lambin, P., Leger, S., Leijenaar, R. T. H., Lenkowicz, J., Lippert, F., Losnegård, A., Maier-Hein, K. H., Morin, O., Müller, H., Napel, S., Nioche, C., Orlhac, F., Pati, S., Pfaehler, E. A. G., Rahmim, A., Rao, A. U. K., Scherer, J., Musib Siddique, M., Sijtsema, N. M., Socarras Fernandez, J., Spezi, E., Steenbakkers, R. J. H. M., Tanadini-Lang, S., Thorwarth, D., (0000-0001-9550-9050) Troost, E. G. C., Upadhaya, T., Valentini, V., V. Van Dijk, L., Griethuysen, J., Velden, F. H. P., Whybra, P., (0000-0003-4261-4214) Richter, C., Löck, S., Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, L., Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M.-C., Dinapoli, N., Viet Dinh, C., Echegaray, S., El Naqa, I., Fedorov, A. Y., Gatta, R., Gillies, R. J., Goh, V., Guckenberger, M., Götz, M., Min Ha, S., Hatt, M., Isensee, F., Lambin, P., Leger, S., Leijenaar, R. T. H., Lenkowicz, J., Lippert, F., Losnegård, A., Maier-Hein, K. H., Morin, O., Müller, H., Napel, S., Nioche, C., Orlhac, F., Pati, S., Pfaehler, E. A. G., Rahmim, A., Rao, A. U. K., Scherer, J., Musib Siddique, M., Sijtsema, N. M., Socarras Fernandez, J., Spezi, E., Steenbakkers, R. J. H. M., Tanadini-Lang, S., Thorwarth, D., (0000-0001-9550-9050) Troost, E. G. C., Upadhaya, T., Valentini, V., V. Van Dijk, L., Griethuysen, J., Velden, F. H. P., Whybra, P., (0000-0003-4261-4214) Richter, C., and Löck, S.
- Abstract
Background: Radiomic features may quantify characteristics present in medical imaging. However, the lack of standardized definitions and validated reference values have hampered clinical usage. Purpose: To standardize a set of 174 radiomic features. Materials and Methods: Radiomic features were assessed in three phases. In phase I, 487 features were derived from the basic set of 174 features. Twenty-five research teams with unique radiomics software implementations computed feature values directly from a digital phantom, without any additional image processing. In phase II, fifteen teams computed values for 1347 derived features using a CT image of a patient with lung cancer and predefined image processing configurations. In both phases, consensus among the teams on the validity of tentative reference values was measured through the frequency of the modal value: <3 matches: weak; 3-5: moderate; 6-9: strong; ≥10 very strong. In the final phase (III), a public dataset of multi-modality imaging (CT, 18F-FDG-PET and T1-weighted MR) from 51 patients with soft-tissue sarcoma was used to prospectively assess reproducibility of standardized features.. Results: Consensus on reference values was initially weak for 232/302 (76.8%; phase I) and 703/1075 (65.4%; phase II) features. At the final iteration, weak consensus remained for only 2/487 (0.4%; phase I) and 19/1347 (1.4%; phase II) features, and strong or better consensus was achieved for 463/487 (95.1%; phase I) and 1220/1347 (90.6%; phase II). Overall, 169/174 features were standardized in the first two phases. In the final validation phase (III), almost all standardized features could be excellently reproduced: CT:166/169 features; PET:164/169 and MRI: 164/169. Conclusion: A set of 169 radiomics features was standardized, which enables verification and calibration of different radiomics software.
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- 2020
79. The image biomarker standardization initiative: Standardized quantitative radiomics for high-throughput image-based phenotyping
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Zwanenburg, A., Vallieres, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, Luca, Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M. -C., Dinapoli, Nicola, Dinh, C. V., Echegaray, S., El Naqa, I., Fedorov, A. Y., Gatta, Roberto, Gillies, R. J., Goh, V., Gotz, M., Guckenberger, M., Ha, S. M., Hatt, M., Isensee, F., Lambin, P., Leger, S., Leijenaar, R. T. H., Lenkowicz, Jacopo, Lippert, F., Losnegard, A., Maier-Hein, K. H., Morin, O., Muller, H., Napel, S., Nioche, C., Orlhac, F., Pati, S., Pfaehler, E. A. G., Rahmim, A., Rao, A. U. K., Scherer, J., Siddique, M. M., Sijtsema, N. M., Socarras Fernandez, J., Spezi, E., Steenbakkers, R. J. H. M., Tanadini-Lang, S., Thorwarth, D., Troost, E. G. C., Upadhaya, T., Valentini, Vincenzo, van Dijk, L. V., van Griethuysen, J., van Velden, F. H. P., Whybra, P., Richter, C., Lock, S., Boldrini L., Dinapoli N., Gatta R., Lenkowicz J., Valentini V. (ORCID:0000-0003-4637-6487), Zwanenburg, A., Vallieres, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, Luca, Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M. -C., Dinapoli, Nicola, Dinh, C. V., Echegaray, S., El Naqa, I., Fedorov, A. Y., Gatta, Roberto, Gillies, R. J., Goh, V., Gotz, M., Guckenberger, M., Ha, S. M., Hatt, M., Isensee, F., Lambin, P., Leger, S., Leijenaar, R. T. H., Lenkowicz, Jacopo, Lippert, F., Losnegard, A., Maier-Hein, K. H., Morin, O., Muller, H., Napel, S., Nioche, C., Orlhac, F., Pati, S., Pfaehler, E. A. G., Rahmim, A., Rao, A. U. K., Scherer, J., Siddique, M. M., Sijtsema, N. M., Socarras Fernandez, J., Spezi, E., Steenbakkers, R. J. H. M., Tanadini-Lang, S., Thorwarth, D., Troost, E. G. C., Upadhaya, T., Valentini, Vincenzo, van Dijk, L. V., van Griethuysen, J., van Velden, F. H. P., Whybra, P., Richter, C., Lock, S., Boldrini L., Dinapoli N., Gatta R., Lenkowicz J., and Valentini V. (ORCID:0000-0003-4637-6487)
- Abstract
Background: Radiomic features may quantify characteristics present in medical imaging. However, the lack of standardized definitions and validated reference values have hampered clinical use. Purpose: To standardize a set of 174 radiomic features. Materials and Methods: Radiomic features were assessed in three phases. In phase I, 487 features were derived from the basic set of 174 features. Twenty-five research teams with unique radiomics software implementations computed feature values directly from a digital phantom, without any additional image processing. In phase II, 15 teams computed values for 1347 derived features using a CT image of a patient with lung cancer and predefined image processing configurations. In both phases, consensus among the teams on the validity of tentative reference values was measured through the frequency of the modal value and classified as follows: less than three matches, weak; three to five matches, moderate; six to nine matches, strong; 10 or more matches, very strong. In the final phase (phase III), a public data set of multimodality images (CT, fluorine 18 fluorodeoxyglucose PET, and T1-weighted MRI) from 51 patients with soft-tissue sarcoma was used to prospectively assess reproducibility of standardized features. Results: Consensus on reference values was initially weak for 232 of 302 features (76.8%) at phase I and 703 of 1075 features (65.4%) at phase II. At the final iteration, weak consensus remained for only two of 487 features (0.4%) at phase I and 19 of 1347 features (1.4%) at phase II. Strong or better consensus was achieved for 463 of 487 features (95.1%) at phase I and 1220 of 1347 features (90.6%) at phase II. Overall, 169 of 174 features were standardized in the first two phases. In the final validation phase (phase III), most of the 169 standardized features could be excellently reproduced (166 with CT; 164 with PET; and 164 with MRI). Conclusion: A set of 169 radiomics features was standardized, which enabled ver
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- 2020
80. Local radiological staging of rectal cancer
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Goh, V, Halligan, S, and Bartram, C.I
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- 2004
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81. Therapeutic Impact of Abdominopelvic Computed Tomography in Patients with Acute Abdominal Symptoms
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CHAMBERS, A., HALLIGAN, S., GOH, V., DHILLON, S., and HASSAN, A.
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- 2004
82. Proceedings of the International Cancer Imaging Society (ICIS) 16th Annual Teaching Course
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Koh, Dow-Mu, Kaste, Sue Creviston, Vinnicombe, Sarah J., Morana, Giovanni, Rossi, Andrea, Herold, Christian J., McLoud, Theresa C., Frey, Kirk A., Gebauer, Bernhard, Roebuck, Derek, Fütterer, Jurgen J., Towbin, Alexander J., Huisman, Thierry A. G., Smets, Anne M. J. B., Lee, Jeong Min, Chandarana, Hersh, Mayerhoefer, Marius E., Raderer, Markus, Haug, Alexander, Eiber, Matthias, Rockall, Andrea, Sohaib, Aslam, Warbey, Victoria S, Vargas, Hebert Alberto, Heiken, Jay P., Francis, Isaac R., Al-Hawary, Mahmoud M., Kaza, Ravi K., D’Onofrio, Mirko, Thoeny, Harriet C., King, Ann D., Piccardo, Arnoldo, Garrè, Maria Luisa, Reed, Nick, Rodriguez-Galindo, Carlos, Wasnik, Ashish P., Diederich, Stefan, Oyen, Wim J. G., Chaw, Cheng Lee, van As, Nicholas, Vieira, Igor, De Keyzer, Frederik, Dresen, Elleke, Han, Sileny, Vergote, Ignace, Moerman, Philippe, Amant, Frederic, Koole, Michel, Vandecaveye, Vincent, Dresen, R., De Vuysere, S., De Keyzer, F., Van Cutsem, E., D’Hoore, A., Wolthuis, A., Vandecaveye, V., Pricolo, P., Alessi, S., Summers, P., Tagliabue, E., Petralia, G., Pfannenberg, C., Gückel, B., Schüle, S. C., Müller, A. C., Kaufmann, S., Schwenzer, N., Reimold, M., la Fougere, C., Nikolaou, K., Martus, P., Cook, G. J., Azad, G. K., Taylor, B. P., Siddique, M., John, J., Mansi, J., Harries, M., Goh, V., Seth, S., Burgul, R., Seth, A., Waugh, S., Gowdh, N. Muhammad, Purdie, C., Evans, A., Crowe, E., Thompson, A., Vinnicombe, S., Arfeen, F., Campion, T., Goldstraw, E., D’Onofrio, M., Ciaravino, V., Crosara, S., De Robertis, R., Mucelli, R. Pozzi, Uhrig, M., Simons, D., Schlemmer, H., Downey, Kate, Murdoch, S., Al-adhami, A. S., Viswanathan, S., Smith, S., Jennings, P., Bowers, D., Soomal, R., Mutala, T. M., Odhiambo, A. O., Harish, N., Hall, M., Sproule, M., Sheridan, S., Thein, K. Y., Tan, C. H., Thian, Y. L., Ho, C. M., De Luca, S., Carrera, C., Blanchet, V., Alarcón, L., Eyheremnedy, E., Choudhury, B. K., Bujarbarua, K., Barman, G., Lovat, E., Ferner, R., Warbey, V. S., Potti, L., Kaye, B., Beattie, A., Dutton, K., Seth, A. A., Constantinidis, F., Dobson, H., Bradley, R., Bozas, G., Avery, G., Stephens, A., Maraveyas, A., Bhuva, S., Johnson, C. A., Subesinghe, M., Taylor, N., Quint, L. E., Reddy, R. M., Kalemkerian, G. P., Zapico, G. González, Jauregui, E. Gainza, Francisco, R. Álvarez, Alonso, S. Ibáñez, Bahillo, I. Tavera, Álvarez, L. Múgica, Francies, O., Wheeler, R., Childs, L., Adams, A., Sahdev, A., De Luca, S. E., Vañek, M. E. Casalini, Pascuzzi, M. D., Gillanders, T., Ramos, P. M., Eyheremendy, E. P., Stove, C., Digby, M., Nazar, M., Wirtz, M., Troncoso, F., Saguier, F., Quint, D. J., Dang, L., Carlson, M., Leber, S., Silverstein, F., Rueben, R., Nazir, B., Teo, T. H., Khoo, J. B., Sharma, K., Gupta, N., Mathew, B., Jeyakumar, T., Harkins, K., Joshua, S., Christodoulou, D., Gourtsoyianni, S., Jacques, A., Griffin, N., Lee, J., Goodfellow, J. A., Yong, A., Jenkins, S., Joseph, G., Partington, K., Zanfardini, A., Cavanagh, K., and Lau, E.
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lcsh:Medical physics. Medical radiology. Nuclear medicine ,Radiological and Ultrasound Technology ,Oncology ,Radiology Nuclear Medicine and imaging ,lcsh:R895-920 ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Meeting Abstracts ,lcsh:RC254-282 - Abstract
Table of contents O1 Tumour heterogeneity: what does it mean? Dow-Mu Koh O2 Skeletal sequelae in adult survivors of childhood cancer Sue Creviston Kaste O3 Locoregional effects of breast cancer treatment Sarah J Vinnicombe O4 Imaging of cancer therapy-induced CNS toxicity Giovanni Morana, Andrea Rossi O5 Screening for lung cancer Christian J. Herold O6Risk stratification of lung nodules Theresa C. McLoud O7 PET imaging of pulmonary nodules Kirk A Frey O8 Transarterial tumour therapy Bernhard Gebauer O9 Interventional radiology in paediatric oncology Derek Roebuck O10 Image guided prostate interventions Jurgen J. Fütterer O11 Imaging cancer predisposition syndromes Alexander J. Towbin O12Chest and chest wall masses Thierry AG Huisman O13 Abdominal masses: good or bad? Anne MJB Smets O14 Hepatobiliary MR contrast: enhanced liver MRI for HCC diagnosis and management Giovanni Morana O15 Role of US elastography and multimodality fusion for managing patients with chronic liver disease and HCC Jeong Min Lee O16 Opportunities and challenges in imaging metastatic disease Hersh Chandarana O17 Diagnosis, treatment monitoring, and follow-up of lymphoma Marius E. Mayerhoefer, Markus Raderer, Alexander Haug O18 Managing high-risk and advanced prostate cancer Matthias Eiber O19 Immunotherapy: imaging challenges Bernhard Gebauer O20 RECIST and RECIST 1.1 Andrea Rockall O21 Challenges of RECIST in oncology imaging basics for the trainee and novice Aslam Sohaib O22 Lymphoma: PET for interim and end of treatment response assessment: a users’ guide to the Deauville Score Victoria S Warbey O23 Available resources Hebert Alberto Vargas O24 ICIS e-portal and the online learning community Dow-Mu Koh O25 Benign lesions that mimic pancreatic cancer Jay P Heiken O26 Staging and reporting pancreatic malignancies Isaac R Francis, Mahmoud, M Al-Hawary, Ravi K Kaza O27 Intraductal papillary mucinous neoplasm Giovanni Morana O28 Cystic pancreatic tumours Mirko D’Onofrio O29 Diffusion-weighted imaging of head and neck tumours Harriet C. Thoeny O30 Radiation injury in the head and neck Ann D King O31 PET/MR of paediatric brain tumours Giovanni Morana, Arnoldo Piccardo, Maria Luisa Garrè, Andrea Rossi O32 Structured reporting and beyond Hebert Alberto Vargas O33 Massachusetts General Hospital experience with structured reporting Theresa C. McLoud O34 The oncologist’s perspective: what the oncologist needs to know Nick Reed O35 Towards the cure of all children with cancer: global initiatives in pediatric oncology Carlos Rodriguez-Galindo O36 Multiparametric imaging of renal cancers Hersh Chandarana O37 Linking imaging features of renal disease and their impact on management strategies Hebert Alberto Vargas O38 Adrenals, retroperitoneum and peritoneum Isaac R Francis, Ashish P Wasnik O39 Lung and pleura Stefan Diederich O40 Advances in MRI Jurgen J. Fütterer O41 Advances in molecular imaging Wim J.G. Oyen O42 Incorporating advanced imaging, impact on treatment selection and patient outcome Cheng Lee Chaw, Nicholas van As S1 Combining ADC-histogram features improves performance of MR diffusion-weighted imaging for Lymph node characterisation in cervical cancer Igor Vieira, Frederik De Keyzer, Elleke Dresen, Sileny Han, Ignace Vergote, Philippe Moerman, Frederic Amant, Michel Koole, Vincent Vandecaveye S2 Whole-body diffusion-weighted MRI for surgical planning in patients with colorectal cancer and peritoneal metastases R Dresen, S De Vuysere, F De Keyzer, E Van Cutsem, A D’Hoore, A Wolthuis, V Vandecaveye S3 Role of apparent diffusion coefficient (ADC) diffusion-weighted MRI for predicting extra capsular extension of prostate cancer. P. Pricolo (paola.pricolo@ieo.it), S. Alessi, P. Summers, E. Tagliabue, G. Petralia S4 Generating evidence for clinical benefit of PET/CT – are management studies sufficient as surrogate for patient outcome? C. Pfannenberg, B. Gückel, SC Schüle, AC Müller, S. Kaufmann, N. Schwenzer, M. Reimold,C. la Fougere, K. Nikolaou, P. Martus S5 Heterogeneity of treatment response in skeletal metastases from breast cancer with 18F-fluoride and 18F-FDG PET GJ Cook, GK Azad, BP Taylor, M Siddique, J John, J Mansi, M Harries, V Goh S6 Accuracy of suspicious breast imaging—can we tell the patient? S Seth, R Burgul, A Seth S7 Measurement method of tumour volume changes during neoadjuvant chemotherapy affects ability to predict pathological response S Waugh, N Muhammad Gowdh, C Purdie, A Evans, E Crowe, A Thompson, S Vinnicombe S8 Diagnostic yield of CT IVU in haematuria screening F. Arfeen, T. Campion, E. Goldstraw S9 Percutaneous radiofrequency ablation of unresectable locally advanced pancreatic cancer: preliminary results D’Onofrio M, Ciaravino V, Crosara S, De Robertis R, Pozzi Mucelli R S10 Iodine maps from dual energy CT improve detection of metastases in staging examinations of melanoma patients M. Uhrig, D. Simons, H. Schlemmer S11Can contrast enhanced CT predict pelvic nodal status in malignant melanoma of the lower limb? Kate Downey S12 Current practice in the investigation for suspected Paraneoplastic Neurological Syndromes (PNS) and positive malignancy yield. S Murdoch, AS Al-adhami, S Viswanathan P1 Technical success and efficacy of Pulmonary Radiofrequency ablation: an analysis of 207 ablations S Smith, P Jennings, D Bowers, R Soomal P2 Lesion control and patient outcome: prospective analysis of radiofrequency abaltion in pulmonary colorectal cancer metastatic disease S Smith, P Jennings, D Bowers, R Soomal P3 Hepatocellular carcinoma in a post-TB patient: case of tropical infections and oncologic imaging challenges TM Mutala, AO Odhiambo, N Harish P4 Role of apparent diffusion coefficient (ADC) diffusion-weighted MRI for predicting extracapsular extension of prostate cancer P. Pricolo, S. Alessi, P. Summers, E. Tagliabue, G. Petralia P5 What a difference a decade makes; comparison of lung biopsies in Glasgow 2005 and 2015 M. Hall, M. Sproule, S. Sheridan P6 Solid pseudopapillary tumour of pancreas: imaging features of a rare neoplasm KY Thein, CH Tan, YL Thian, CM Ho P7 MDCT - pathological correlation in colon adenocarcinoma staging: preliminary experience S De Luca, C Carrera, V Blanchet, L Alarcón, E Eyheremnedy P8 Image guided biopsy of thoracic masses and reduction of pneumothorax risk: 25 years experience B K Choudhury, K Bujarbarua, G Barman P9 Tumour heterogeneity analysis of 18F-FDG-PET for characterisation of malignant peripheral nerve sheath tumours in neurofibromatosis-1 GJ Cook, E Lovat, M Siddique, V Goh, R Ferner, VS Warbey P10 Impact of introduction of vacuum assisted excision (VAE) on screen detected high risk breast lesions L Potti, B Kaye, A Beattie, K Dutton P11 Can we reduce prevalent recall rate in breast screening? AA Seth, F Constantinidis, H Dobson P12 How to reduce prevalent recall rate? Identifying mammographic lesions with low Positive Predictive Value (PPV) AA Seth (archana.seth@nhs.net), F Constantinidis, H Dobson P13 Behaviour of untreated pulmonary thrombus in oncology patients diagnosed with incidental pulmonary embolism on CT R. Bradley, G. Bozas, G. Avery, A. Stephens, A. Maraveyas P14 A one-stop lymphoma biopsy service – is it possible? S Bhuva, CA Johnson, M Subesinghe, N Taylor P15 Changes in the new TNM classification for lung cancer (8th edition, effective January 2017) LE Quint, RM Reddy, GP Kalemkerian P16 Cancer immunotherapy: a review of adequate imaging assessment G González Zapico, E Gainza Jauregui, R Álvarez Francisco, S Ibáñez Alonso, I Tavera Bahillo, L Múgica Álvarez P17 Succinate dehydrogenase mutations and their associated tumours O Francies, R Wheeler, L Childs, A Adams, A Sahdev P18 Initial experience in the usefulness of dual energy technique in the abdomen SE De Luca, ME Casalini Vañek, MD Pascuzzi, T Gillanders, PM Ramos, EP Eyheremendy P19 Recognising the serious complication of Richter’s transformation in CLL patients C Stove, M Digby P20 Body diffusion-weighted MRI in oncologic practice: truths, tricks and tips M. Nazar, M. Wirtz, MD. Pascuzzi, F. Troncoso, F. Saguier, EP. Eyheremendy P21 Methotrexate-induced leukoencephalopathy in paediatric ALL Patients D.J. Quint, L. Dang, M. Carlson, S. Leber, F. Silverstein P22 Pitfalls in oncology CT reporting. A pictorial review R Rueben, S Viswanathan P23 Imaging of perineural extension in head and neck tumours B Nazir, TH Teo, JB Khoo P24 MRI findings of molecular subtypes of breast cancer: a pictorial primer K Sharma, N Gupta, B Mathew, T Jeyakumar, K Harkins P25 When cancer can’t wait! A pictorial review of oncological emergencies K Sharma, B Mathew, N Gupta, T Jeyakumar, S Joshua P26 MRI of pancreatic neuroendocrine tumours: an approach to interpretation D Christodoulou, S Gourtsoyianni, A Jacques, N Griffin, V Goh P27 Gynaecological cancers in pregnancy: a review of imaging CA Johnson, J Lee P28 Suspected paraneoplastic neurological syndromes - review of published recommendations to date, with proposed guideline/flowchart JA Goodfellow, AS Al-adhami, S Viswanathan P29 Multi-parametric MRI of the pelvis for suspected local recurrence of prostate cancer after radical prostatectomy R Bradley P30 Utilisation of PI-RADS version 2 in multi-parametric MRI of the prostate; 12-months experience R Bradley P31 Radiological assessment of the post-chemotherapy liver A Yong, S Jenkins, G Joseph P32 Skeletal staging with MRI in breast cancer – what the radiologist needs to know S Bhuva, K Partington P33 Perineural spread of lympoma: an educational review of an unusual distribution of disease CA Johnson, S Bhuva, M Subesinghe, N Taylor P34 Visually isoattenuating pancreatic adenocarcinoma. Diagnostic imaging tools. C Carrera, A Zanfardini, S De Luca, L Alarcón, V Blanchet, EP Eyheremendy P35 Imaging of larynx cancer: when is CT, MRI or FDG PET/CT the best test? K Cavanagh, E Lau
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- 2016
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83. Optimizing Bowel Preparation for Multidetector Row CT Colonography: Effect of Citramag and Picolax
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Taylor, S.A, Halligan, S, Goh, V, Morley, S, Atkin, W, and Bartram, C.I
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- 2003
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84. The landscape of selection in 551 Esophageal Adenocarcinomas defines genomic biomarkers for the clinic
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Frankell, AM, Jammula, S, Li, X, Contino, G, Killcoyne, S, Abbas, S, Perner, J, Bower, L, Devonshire, G, Cocks, E, Grehan, N, Mok, J, O'Donovan, M, MacRae, S, Eldridge, MD, Tavare, S, Fitzgerald, RC, Noorani, A, Edwards, PAW, Grehanl, N, Nutzinger, B, Hughes, CI, Fidziukiewicz, E, Northrop, A, De la Rue, R, Katz-Summercorn, A, Loureda, D, Miremadi, A, Malhotra, S, Tripathi, M, Lynch, AG, Eldridge, M, Secrier, M, Davies, J, Crichton, C, Carro, N, Safranek, P, Hindmarsh, A, Sujendran, V, Hayes, SJ, Ang, Y, Sharrocks, A, Preston, SR, Oakes, S, Bagwan, I, Save, V, Skipworth, RJE, Hupp, TR, ONeill, JR, Tucker, O, Beggs, A, Taniere, P, Puig, S, Underwood, T, Walker, RC, Grace, BL, Barr, H, Shepherd, N, Old, O, Lagergren, J, Gossage, J, Davies, A, Chang, F, Zylstra, J, Mahadeva, U, Goh, V, Ciccarelli, FD, Sanders, G, Berrisford, R, Harden, C, Lewis, M, Cheong, E, Kumar, B, Parsons, SL, Soomro, I, Kaye, P, Saunders, J, Lovat, L, Haidry, R, Igali, L, Scott, M, Sothi, S, Suortamo, S, Lishman, S, Hanna, GB, Moorthy, K, Peters, CJ, Grabowska, A, Turkington, R, McManus, D, Coleman, H, Khoo, D, and Fickling, W
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Male ,Oncology ,Mutation rate ,Esophageal Neoplasms ,medicine.disease_cause ,Cohort Studies ,0302 clinical medicine ,Exome ,11 Medical and Health Sciences ,Genetics & Heredity ,0303 health sciences ,Mutation ,GATA4 ,Incidence (epidemiology) ,Genomics ,CANCER ,Cell Cycle Gene ,Gene Expression Regulation, Neoplastic ,Cohort ,Adenocarcinoma ,Female ,Life Sciences & Biomedicine ,Silent mutation ,medicine.medical_specialty ,CARCINOMA ,DNA Copy Number Variations ,Biology ,Article ,03 medical and health sciences ,Internal medicine ,Biomarkers, Tumor ,Genetics ,Carcinoma ,medicine ,Humans ,Gene ,SIGNATURES ,030304 developmental biology ,Science & Technology ,Gene Expression Profiling ,PATHWAYS ,Cancer ,SOMATIC MUTATIONS ,06 Biological Sciences ,medicine.disease ,COMPREHENSIVE MOLECULAR CHARACTERIZATION ,PD-1 BLOCKADE ,Gene expression profiling ,PATTERNS ,DRIVER ,Cancer research ,Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium ,030217 neurology & neurosurgery ,ACQUIRED-RESISTANCE ,Developmental Biology - Abstract
Esophageal Adenocarcinoma (EAC) is a poor prognosis cancer type with rapidly rising incidence. Our understanding of genetic events which drive EAC development is limited and there are few molecular biomarkers for prognostication or therapeutics. We have accumulated a cohort of 551 genomically characterised EACs (73% WGS and 27% WES) with clinical annotation and matched RNA-seq. Using a variety of driver gene detection methods, we discover 77 EAC driver genes (73% novel) and 21 non-coding driver elements (95% novel), and describe mutation and CNV types with specific functional impact. We identify a mean of 4.4 driver events per case derived from both copy number events and mutations. We compare driver mutation rates to the exome-wide mutational excess calculated using Non-synonymous vs Synonymous mutation rates (dNdS). We observe mutual exclusivity or co-occurrence of events within and between a number of EAC pathways (GATA factors, Core Cell cycle genes, TP53 regulators and the SWI/SNF complex) suggestive of important functional relationships. These driver variants correlate with tumour differentiation, sex and prognosis. Poor prognostic indicators (SMAD4, GATA4) are verified in independent cohorts with significant predictive value. Over 50% of EACs contain sensitising events for CDK4/6 inhibitors which are highly correlated with clinically relevant sensitivity in a panel EAC cell lines and organoids.
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- 2018
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85. 173TiP PECan Study, Imaging PD-L1 in Cancer: A Tool for Measuring Response to Immunotherapy?
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Hughes, D.J., primary, Chand, G., additional, Josephs, D., additional, Harries, M., additional, Papa, S., additional, Spicer, J., additional, Ting, H.H., additional, Goh, V., additional, and Cook, G., additional
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- 2019
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86. A prospective study of diffusion-weighted magnetic resonance imaging for predicting outcome following chemoradiotherapy, in squamous cell carcinomas of the anus
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Muirhead, R., primary, Bulte, D., additional, Cook, R., additional, Chu, K.-Y., additional, Durrant, L., additional, Goh, V., additional, Jacobs, C., additional, Ng, S.M., additional, Strauss, V.Y., additional, Virdee, P.S., additional, Qi, C., additional, and Hawkins, M.A., additional
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- 2019
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87. Baseline Diffusion Weighted Magnetic Resonance Imaging to Predict Recurrence of Anal Squamous Cell Carcinoma (ASCC) Following Chemoradiotherapy
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Owczarczyk, K., primary, Prezzi, D., additional, Kozarski, R., additional, Gaya, A.M., additional, Siddique, M., additional, Cook, G.J., additional, Glynne-Jones, R., additional, and Goh, V., additional
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- 2019
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88. Clinical and cost implications of using immediate MRI in the management of patients with a suspected scaphoid fracture and negative radiographs results from the SMaRT trial
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Rua, T., primary, Malhotra, B., additional, Vijayanathan, S., additional, Hunter, L., additional, Peacock, J., additional, Shearer, J., additional, Goh, V., additional, McCrone, P., additional, and Gidwani, S., additional
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- 2019
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89. Baseline 18F-FDG-PET and Dynamic Contrast Enhanced (DCE)-MRI for assessment of lymph node metastatic potential of oesophageal adenocarcinoma
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Owczarczyk, K., primary, Withey, S., additional, Kozarski, R., additional, Winfield, J., additional, Siddique, M., additional, Maisey, N., additional, Gossage, J., additional, Davies, A., additional, Cook, G., additional, and Goh, V., additional
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- 2019
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90. Loco-regional staging of malignant pleural mesothelioma by integrated 18F-FDG PET/MRI
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Murphy, D.J., primary, Mak, S.M., additional, Mallia, A., additional, Jeljeli, S., additional, Stirling, J.J., additional, Goh, V., additional, Bille, A., additional, and Cook, G.J.R., additional
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- 2019
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91. Role of MRI in Scaphoid Injuries: The Scaphoid Magnetic Resonance Imaging in Trauma (SMaRT) Trial
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Rua, T., additional, Isaac, A., additional, Vijayanathan, S., additional, Zavareh, A., additional, Houghton, R., additional, Desai, A., additional, Mak, D., additional, Goh, V., additional, McCorne, P., additional, and Gidwani, S., additional
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- 2019
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92. Erratum to “The National Institute for Health Research: making an impact in imaging research” [74 (3) 242–246]
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Goh, V., primary
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- 2019
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93. PIT10 COST AND COST-EFFECTIVENESS IMPLICATIONS OF UTILIZING IMMEDIATE ACUTE MAGNETIC RESONANCE IMAGING IN THE MANAGEMENT OF PATIENTS WITH SUSPECTED SCAPHOID FRACTURE AND NEGATIVE INITIAL RADIOGRAPHS: RESULTS FROM A RANDOMIZED CLINICAL TRIAL IN THE UNITED KINGDOM.
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Rua, T., primary, Gidwani, S., additional, Malhotra, B., additional, Vijayanathan, S., additional, Isaac, A., additional, Hunter, L., additional, Peacock, J., additional, Shearer, J., additional, Goh, V., additional, and McCrone, P., additional
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- 2019
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94. EP-1425 MRI heterogeneity analysis for predicting response to neoadjuvant therapy in oesophageal cancer
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Owczarczyk, K., primary, Kelly-Morland, C., additional, Yip, C., additional, Siddique, M., additional, Maisey, N., additional, Qureshi, A., additional, Gossage, J., additional, Cook, G., additional, and Goh, V., additional
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- 2019
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95. The Therapeutic Impact of Abdominal Ultrasound in Patients with Acute Abdominal Symptoms
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Dhillon, S., Halligan, S., Goh, V., Matravers, P., Chambers, A., and Remedios, D.
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- 2002
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96. Does a high Mandard score really define a poor response to chemotherapy in oesophageal adenocarcinoma?
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Knight, William R. C., Baker, Cara R., Griffin, Nyree, Wulaningsih, Wahyu, Kelly, Mark, Davies, Andrew R., Gossage, James A., on behalf of the Guy's and St Thomas' Oesophago-Gastric Research Group, Hynes, O., Tham, G., Iezzi, C., Bott, R., Maisey, N., Gaya, A., Ngan, S., Qureshi, A., Green, M., Jacques, A., Goh, V., and Deere, H.
- Abstract
Background: A high Mandard score implies a non-response to chemotherapy in oesophageal adenocarcinoma. However, some patients exhibit tumour volume reduction and a nodal response despite a high score. This study examines survival and recurrence patterns in these patients.Methods: Clinicopathological factors were analysed using multivariable Cox regression assessing time to death and recurrence. Computed tomography-estimated tumour volume change was examined in a subgroup of consecutive patients.Results: Five hundred and fifty-five patients were included. Median survival was 55 months (Mandard 1-3) and 21 months (Mandard 4 and 5). In the Mandard 4 and 5 group (332 patients), comparison between complete nodal responders and persistent nodal disease showed improved survival (90 vs 18 months), recurrence rates (locoregional 14.75 vs 28.74%, systemic 24.59 vs 48.42%) and circumferential resection margin positivity (22.95 vs 68.11%). Complete nodal response independently predicted improved survival (hazard ratio 0.34 (0.16-0.74). Post-chemotherapy tumour volume reduction was greater in patients with a complete nodal response (-16.3 vs -7.7 cm3, p = 0.033) with no significant difference between Mandard groups.Conclusion: Patients with a complete nodal response to chemotherapy have significantly improved outcomes despite a poor Mandard score. High Mandard score does not correspond with a non-response to chemotherapy in all cases and patients with nodal downstaging may still benefit from adjuvant chemotherapy. [ABSTRACT FROM AUTHOR]- Published
- 2021
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97. Combined PET/MRI: Global Warming-Summary Report of the 6th International Workshop on PET/MRI, March 27-29, 2017, Tübingen
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Bailey, D. L., Pichler, B. J., Gückel, B., Antoch, G., Barthel, H., Bhujwalla, Z. M., Biskup, S., Biswal, S., Bitzer, M., Boellaard, R., Braren, R. F., Brendle, C., Brindle, K., Chiti, A., La Fougère, C., Gillies, R., Goh, V., Goyen, M., Hacker, M., Heukamp, L., Knudsen, G. M., Krackhardt, A. M., Law, I., Morris, J. C., Nikolaou, K., Nuyts, J., Ordonez, A. A., Pantel, K., Quick, H. H., Riklund, K., Sabri, O., Sattler, B., Troost, E., Zaiss, M., Zender, L., and Beyer, T.
- Abstract
The 6th annual meeting to address key issues in positron emission tomography (PET)/magnetic resonance imaging (MRI) was held again in Tübingen, Germany, from March 27 to 29, 2017. Over three days of invited plenary lectures, round table discussions and dialogue board deliberations, participants critically assessed the current state of PET/MRI, both clinically and as a research tool, and attempted to chart future directions. The meeting addressed the use of PET/MRI and workflows in oncology, neurosciences, infection, inflammation and chronic pain syndromes, as well as deeper discussions about how best to characterise the tumour microenvironment, optimise the complementary information available from PET and MRI, and how advanced data mining and bioinformatics, as well as information from liquid biomarkers (circulating tumour cells and nucleic acids) and pathology, can be integrated to give a more complete characterisation of disease phenotype. Some issues that have dominated previous meetings, such as the accuracy of MR-based attenuation correction (AC) of the PET scan, were finally put to rest as having been adequately addressed for the majority of clinical situations. Likewise, the ability to standardise PET systems for use in multicentre trials was confirmed, thus removing a perceived barrier to larger clinical imaging trials. The meeting openly questioned whether PET/MRI should, in all cases, be used as a whole-body imaging modality or whether in many circumstances it would best be employed to give an in-depth study of previously identified disease in a single organ or region. The meeting concluded that there is still much work to be done in the integration of data from different fields and in developing a common language for all stakeholders involved. In addition, the participants advocated joint training and education for individuals who engage in routine PET/MRI. It was agreed that PET/MRI can enhance our understanding of normal and disrupted biology, and we are in a position to describe the in vivo nature of disease processes, metabolism, evolution of cancer and the monitoring of response to pharmacological interventions and therapies. As such, PET/MRI is a key to advancing medicine and patient care.
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- 2018
98. Streamlining staging of lung and colorectal cancer with whole body MRI; study protocols for two multicentre, non-randomised, single-arm, prospective diagnostic accuracy studies (Streamline C and Streamline L)
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Taylor, S.A., Mallett, S., Miles, Anne, Beare, S., Bhatnagar, G., Bridgewater, J., Glynne-Jones, R., Goh, V., Groves, A.M., Janes, S.M., Koh, D.M., Morris, S., Morton, A., Navani, N., Oliver, A., Padhani, A.R., Punwani, S., Rockall, A.G., Halligan, S., and National Institute for Health Research
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Patient experience ,Positron emission tomography ,Lung Neoplasms ,Staging ,Non-Randomized Controlled Trials as Topic ,Whole body magnetic resonance imaging ,lcsh:RC254-282 ,1117 Public Health and Health Services ,psyc ,Study Protocol ,Surveys and Questionnaires ,Humans ,Whole Body Imaging ,1112 Oncology and Carcinogenesis ,Prospective Studies ,Oncology & Carcinogenesis ,Computed tomography ,Neoplasm Staging ,Science & Technology ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Magnetic Resonance Imaging ,Colorectal cancer ,Oncology ,Patient Satisfaction ,METASTASIS ,Lung cancer ,Colorectal Neoplasms ,Life Sciences & Biomedicine - Abstract
Background and aims Rapid and accurate cancer staging following diagnosis underpins patient management, in particular the identification of distant metastatic disease. Current staging guidelines recommend sequential deployment of various imaging platforms such as computerised tomography (CT) and positron emission tomography (PET) which can be time and resource intensive and onerous for patients. Recent studies demonstrate that whole body magnetic resonance Imaging (WB-MRI) may stage cancer efficiently in a single visit, with potentially greater accuracy than current staging investigations. The Streamline trials aim to evaluate whether WB-MRI increases per patient detection of metastases in non-small cell lung and colorectal cancer compared to standard staging pathways. Methods The Streamline trials are multicentre, non-randomised, single-arm, prospective diagnostic accuracy studies with a novel design to capture patient management decisions during staging pathways. The two trials recruit adult patients with proven or highly suspected new diagnosis of primary colorectal (Streamline C) or non-small cell lung cancer (Streamline L) referred for staging. Patients undergo WB-MRI in addition to standard staging investigations. Strict blinding protocols are enforced for those interpreting the imaging. A first major treatment decision is made by the multi-disciplinary team prior to WB-MRI revelation based on standard staging investigations only, then based on the WB-MRI and any additional tests precipitated by WB-MRI, and finally based on all available test results. The reference standard is derived by a multidisciplinary consensus panel who assess 12 months of follow-up data to adjudicate on the TNM stage at diagnosis. Health psychology assessment of patients’ experiences of the cancer staging pathway will be undertaken via interviews and questionnaires. A cost (effectiveness) analysis of WB-MRI compared to standard staging pathways will be performed. Discussion We describe a novel approach to radiologist and clinician blinding to ascertain the ‘true’ diagnostic accuracy of differing imaging pathways and discuss our approach to assessing the impact of WB-MRI on clinical decision making in real-time. The Streamline trials will compare WB-MRI and standard imaging pathways in the same patients, thereby informing the most accurate and efficient approach to staging. Trial registration Streamline C ISRCTN43958015 (registered 25/7/2012). Streamline L ISRCTN50436483 (registered 31/7/2012).
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- 2017
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99. Corrigendum to “Is there a role for perfusion imaging in assessing treatment response following ablative therapy of small renal masses—A systematic review” [Eur. J. Radiol. Open 5 (2018) 102–107]
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Withey, S.J., primary, Gariani, J., additional, Reddy, K., additional, Prezzi, D., additional, Kelly-Morland, C., additional, Ilyas, S., additional, Adam, A., additional, and Goh, V., additional
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- 2019
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100. VITALITY LIES IN LIFE, LIFE LIES IN LEARNING: BENEFITS AND CHALLENGES OF OLDER ADULT LEARNING IN SINGAPORE
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Maulod, A, primary, Goh, V, additional, Malhotra, R, additional, Manap, N, additional, and Chan, A, additional
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- 2018
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