Dr John Maclay
- Honorary Clinical Senior Lecturer (School of Medicine, Dentistry & Nursing)
email:
John.Maclay@glasgow.ac.uk
Glasgow Royal Infirmary, 86 Castle St, Glasgow, G4 0SF
Publications
2025
Duncan, Sean, Kidd, Andrew C., Perdomo Lampignano, Jesus, Cannon, Paul ORCID: https://orcid.org/0000-0001-8721-1481, Hall, Mark, Stobo, David B., Maclay, John D., Blyth, Kevin G.
ORCID: https://orcid.org/0000-0003-2972-6641 and Lowe, David J.
ORCID: https://orcid.org/0000-0003-4866-2049
(2025)
Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review.
European Journal of Radiology, 192,
112409.
(doi: 10.1016/j.ejrad.2025.112409)
Alkarn, Ahmed, Stapleton, Liam J., Eleftheriou, Dimitra, Stewart, Laura, Chalmers, George, Hamed, Ahmad, Hussein, Khaled, Blyth, Kevin G. ORCID: https://orcid.org/0000-0003-2972-6641, van der Hors, Joris C. and Maclay, John 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)
2024
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)
2023
AlRasheedi, Maha, Han, Sai ORCID: https://orcid.org/0000-0001-5482-9648, Thygesen, Helene, Neilson, Matt, Hendry, Fraser, Alkarn, Ahmed, Maclay, John D. and Leung, Hing Y.
ORCID: https://orcid.org/0000-0002-3933-3975
(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)
2020
Dolan, Ross D. ORCID: https://orcid.org/0000-0002-5272-5906, Maclay, John D., Abbass, Tanvir, Colville, David, Buali, Fatema, MacLeod, Nicholas, McSorley, Stephen T.
ORCID: https://orcid.org/0000-0002-5459-8445, Horgan, Paul G.
ORCID: https://orcid.org/0000-0001-5557-7905 and McMillan, Donald C.
ORCID: https://orcid.org/0000-0003-4260-5334
(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)
Articles
Duncan, Sean, Kidd, Andrew C., Perdomo Lampignano, Jesus, Cannon, Paul ORCID: https://orcid.org/0000-0001-8721-1481, Hall, Mark, Stobo, David B., Maclay, John D., Blyth, Kevin G.
ORCID: https://orcid.org/0000-0003-2972-6641 and Lowe, David J.
ORCID: https://orcid.org/0000-0003-4866-2049
(2025)
Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review.
European Journal of Radiology, 192,
112409.
(doi: 10.1016/j.ejrad.2025.112409)
Alkarn, Ahmed, Stapleton, Liam J., Eleftheriou, Dimitra, Stewart, Laura, Chalmers, George, Hamed, Ahmad, Hussein, Khaled, Blyth, Kevin G. ORCID: https://orcid.org/0000-0003-2972-6641, van der Hors, Joris C. and Maclay, John 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, Maha, Han, Sai ORCID: https://orcid.org/0000-0001-5482-9648, Thygesen, Helene, Neilson, Matt, Hendry, Fraser, Alkarn, Ahmed, Maclay, John D. and Leung, Hing Y.
ORCID: https://orcid.org/0000-0002-3933-3975
(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, Ross D. ORCID: https://orcid.org/0000-0002-5272-5906, Maclay, John D., Abbass, Tanvir, Colville, David, Buali, Fatema, MacLeod, Nicholas, McSorley, Stephen T.
ORCID: https://orcid.org/0000-0002-5459-8445, Horgan, Paul G.
ORCID: https://orcid.org/0000-0001-5557-7905 and McMillan, Donald C.
ORCID: https://orcid.org/0000-0003-4260-5334
(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)