Impact of inter-observer variability on MRI radiomic features in bladder cancer
Elumalai, Thiraviyam Song, Yee Pei Mistry, Hitesh Dubec, Michael Jackson, S. Hoskin, Peter J McWilliam, Alan
Elumalai, Thiraviyam
Song, Yee Pei
Mistry, Hitesh
Dubec, Michael
Jackson, S.
Hoskin, Peter J
McWilliam, Alan
Citations
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Abstract
Purpose or Objective
Muscle-invasive bladder cancer (MIBC) can be radically treated with either surgery or radiotherapy. Regardless
of treatment, overall 5-year survival remains poor with 1 in 2 patients dying of disease. Improved patient
stratification is needed, identifying those who respond better to radiotherapy. Using imaging biomarkers from
on-treatment MRI such as radiomic features is one viable strategy. We aimed to identify MRI radiomic features
robust for inter-observer variation in MIBC patients treated with chemo-radiotherapy and compare bladder
wall (BW) and tumour bed (TB).
Materials and Methods
Ten eligible MIBC patients were recruited to an MRI imaging study while undergoing chemo-radiotherapy. All
patients were treated with GemX (52.5 /20 fractions with Gemcitabine 100 mg/m2 weekly). Weekly scans
were taken during treatment on a Siemens 1.5T diagnostic MRI scanner. BW and TB were segmented as the
region of interests on the weekly T2-weighted MRI images by two clinical oncologists to evaluate inter-observer variability. In total, 40 MRI images were available to extract features using pyRadiomics
(v3.0.1). Robustness to inter-observer variation was assessed using the intraclass correlation coefficient (ICC).
Distribution of features in BW and TB was compared using inter-quartile range.
Description
Date
2021
Publisher
Collections
Keywords
Type
Meetings and Proceedings
Citation
Elumalai T, Song YP, Mistry H, Dubec M, Jackson S, Herk MV, et al. Impact of inter-observer variability on MRI radiomic features in bladder cancer. Radiotherapy and Oncology. 2021;161:S1524-S5.