Number of items: 4.
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, 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)
2020
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)
This list was generated on Thu Nov 21 05:54:51 2024 GMT.