Radiomics for Predicting Lung Cancer Outcomes Following Radiotherapy: A Systematic Review

Autor: S.O.S. Osman, K.H. Brown, Conor K. McGarry, Karl T. Butterworth, Alan R. Hounsell, Suneil Jain, Philippe Lambin, Aidan J Cole, Gerard Walls, Gerard G Hanna, R.T.H. Leijenaar

Publikováno v: Walls, G M, Osman, S O S, Brown, K H, Butterworth, K T, Hanna, G G, Hounsell, A R, McGarry, C K, Leijenaar, R T H, Lambin, P, Cole, A J & Jain, S 2022, ' Radiomics for predicting lung cancer outcomes following radiotherapy: a systematic review ', Clinical oncology (Royal College of Radiologists (Great Britain)), vol. 34, no. 3, pp. E107-E122 . https://doi.org/10.1016/j.clon.2021.10.006

Lung cancer's radiomic phenotype may potentially inform clinical decision-making with respect to radical radiotherapy. At present there are no validated biomarkers available for the individualisation of radical radiotherapy in lung cancer and the mor

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https://doi.org/10.1016/j.clon.2021.10.006

EP-1872: Benchmarking texture analysis for PET in oesophageal cancer

Autor: Christopher Marshall, B. Berthon, R.T.H. Leijenaar, Kieran Foley, Emiliano Spezi

Publikováno v: Radiotherapy and Oncology. 119

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8afac1c79e2aca8bb870d28c78e15103

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SP-0111: Response prediction in rectal cancer using PET Radiomics

Autor: R.T.H. Leijenaar, P. Lambin

Publikováno v: Radiotherapy and Oncology. 119:S51

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https://doi.org/10.1016/s0167-8140(16)31360-3

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