Rakesh Shiradkar1, Michael Sobota1, Leonardo Kayat Bittencourt2, Sreeharsha Tirumani2, Justin Ream3, Ryan Ward3, Amogh Hiremath1, Ansh Roge1, Amr Mahran1, Andrei Purysko3, Lee Ponsky2, and Anant Madabhushi1
1Case Western Reserve University, Cleveland, OH, United States, 2University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Cleveland Clinic, Cleveland, OH, United States
1Case Western Reserve University, Cleveland, OH, United States, 2University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Cleveland Clinic, Cleveland, OH, United States
Inter-reader variation in
delineating prostate cancer on MRI affects radiomic features in their ability
to identify clinically significant prostate cancer. A more conservative
approach in delineations may ensure better generalizability of predictive
models trained using radiomics.
Figure
1:
Prostate cancer delineations of three radiologists (R1(red), R2(yellow) and
R3(green)) on T2W and ADC. For smaller lesions (patient 1), all 3 readers had a
good overlap. For larger (patient 2) and multi-focal lesions (patient 3), there
was considerable variation in delineations that affect radiomics and robustness
of classifiers.
Table 3: Individual and inter-reader
performance assessment