Frood, Russell http://orcid.org/0000-0003-2681-9922
Mercer, Joseph
Brown, Peter
Appelt, Ane
Mistry, Hitesh
Kochhar, Rohit
Scarsbrook, Andrew
Funding for this research was provided by:
Innovate UK (104688)
Cancer Research UK (C19942/A28832)
Article History
Received: 27 June 2023
Revised: 20 August 2023
Accepted: 24 August 2023
First Online: 4 November 2023
Declarations
:
: The scientific guarantor of this publication is Prof A Scarsbrook.
: A Scarsbrook is an Associate Editor of European Radiology and a member of the Editorial Board for the journal. They have not taken part in the review or selection process of this article.
: One of the authors (Dr H Mistry) has significant statistical expertise.
: All patients included within the study gave prospective consent at the time of imaging for their anonymised FDG PET-CT imaging data to be used in research and service development projects.
: As this is a retrospective study, which does not involve patient contact or the alteration of treatment, following discussion with the Research and Innovation Department at Leeds Teaching Hospitals NHS Trust (LTHT), it was agreed that this represented a service improvement project and requirement for formal ethics committee approval was waived for LTHT data collection. Data collection at Christie NHS Foundation Trust (CNFT) was approved by the UK Computer Aided Theragnostics (ukCAT) ethics committee.
: Some study subjects or cohorts have been previously reported. The dataset (187 patients) from Leeds has been used for a radiomics-based prediction model which has been published previously—Brown PJ, Zhong J, Frood R, et al (2019) Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT. Eur J Nucl Med Mol Imaging 46: 2790–2799. However, this work looks at a range of different prediction models using the same data set representing new original research. In addition, the current study includes external validation with a large independent dataset not previously published.
: • retrospective• diagnostic or prognostic study• multicenter study