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email:
John.Maclay@glasgow.ac.uk
Glasgow Royal Infirmary, 86 Castle St, Glasgow, G4 0SF
Alkarn, A., Stapleton, L. J., Eleftheriou, D., Stewart, L., Chalmers, G., Hamed, A., Hussein, K., Blyth, K. G. , van der Hors, J. C. and Maclay, J. D. (2025) Real life pre-operative nodal staging accuracy in non-small cell lung cancer and its relationship with survival. Diagnostics, 15(4), 430. (doi: 10.3390/diagnostics15040430)
Duncan, S. F. et al. (2024) Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation. BMJ Open, (doi: 10.1136/bmjopen-2023-081062)
McGovern, J. et al. (2024) The prevalence and prognostic value of systemic inflammation in good performance status patients with advanced, inoperable non-small cell lung cancer receiving palliative radiotherapy: comparison of composite ratios and cumulative scores. Cancer Medicine, 13(16), e70139. (doi: 10.1002/cam4.70139) (PMCID:PMC11335809)
AlRasheedi, M., Han, S. , Thygesen, H., Neilson, M., Hendry, F., Alkarn, A., Maclay, J. D. and Leung, H. Y. (2023) A comparative evaluation of mediastinal nodal SUVmax and derived ratios from 18F-FDG PET/CT imaging to predict nodal metastases in non-small cell lung cancer. Diagnostics, 13(7), 1209. (doi: 10.3390/diagnostics13071209) (PMID:37046427) (PMCID:PMC10093125)
Dolan, R. D. , Maclay, J. D., Abbass, T., Colville, D., Buali, F., MacLeod, N., McSorley, S. T. , Horgan, P. G. and McMillan, D. C. (2020) The relationship between 18F-FDG-PETCT-derived tumour metabolic activity, nutritional risk, body composition, systemic inflammation and survival in patients with lung cancer. Scientific Reports, 10, 20819. (doi: 10.1038/s41598-020-77269-7) (PMID:33257741) (PMCID:PMC7705735)
Alkarn, A., Stapleton, L. J., Eleftheriou, D., Stewart, L., Chalmers, G., Hamed, A., Hussein, K., Blyth, K. G. , van der Hors, J. C. and Maclay, J. D. (2025) Real life pre-operative nodal staging accuracy in non-small cell lung cancer and its relationship with survival. Diagnostics, 15(4), 430. (doi: 10.3390/diagnostics15040430)
Duncan, S. F. et al. (2024) Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation. BMJ Open, (doi: 10.1136/bmjopen-2023-081062)
McGovern, J. et al. (2024) The prevalence and prognostic value of systemic inflammation in good performance status patients with advanced, inoperable non-small cell lung cancer receiving palliative radiotherapy: comparison of composite ratios and cumulative scores. Cancer Medicine, 13(16), e70139. (doi: 10.1002/cam4.70139) (PMCID:PMC11335809)
AlRasheedi, M., Han, S. , Thygesen, H., Neilson, M., Hendry, F., Alkarn, A., Maclay, J. D. and Leung, H. Y. (2023) A comparative evaluation of mediastinal nodal SUVmax and derived ratios from 18F-FDG PET/CT imaging to predict nodal metastases in non-small cell lung cancer. Diagnostics, 13(7), 1209. (doi: 10.3390/diagnostics13071209) (PMID:37046427) (PMCID:PMC10093125)
Dolan, R. D. , Maclay, J. D., Abbass, T., Colville, D., Buali, F., MacLeod, N., McSorley, S. T. , Horgan, P. G. and McMillan, D. C. (2020) The relationship between 18F-FDG-PETCT-derived tumour metabolic activity, nutritional risk, body composition, systemic inflammation and survival in patients with lung cancer. Scientific Reports, 10, 20819. (doi: 10.1038/s41598-020-77269-7) (PMID:33257741) (PMCID:PMC7705735)