Several reports have shown that radiomic features are affected by acquisition and
reconstruction parameters, thus hampering multicenter studies. We propose a method that, by …

Texture indices are of growing interest for tumor characterization in 18 F-FDG PET. Yet, on
the basis of results published in the literature so far, it is unclear which indices should be used…

Background Radiomic features may quantify characteristics present in medical imaging.
However, the lack of standardized definitions and validated reference values have hampered …

Background Radiomics extracts features from medical images more precisely and more
accurately than visual assessment. However, radiomics features are affected by CT scanner …

Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology, …

Radiomic analysis of PET images is a promising approach to extract subtler information and
continuously evolves with advances in artificial intelligence. Using deep-learning methods, …

Textural and shape analysis is gaining considerable interest in medical imaging, particularly
to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here…

Even though radiomics can hold great potential for supporting clinical decision-making, its
current use is mostly limited to academic research, without applications in routine clinical …

Filters are commonly used to enhance specific structures and patterns in images, such as
vessels or peritumoral regions, to enable clinical insights beyond the visible image using …

The impact of PET image acquisition and reconstruction parameters on SUV measurements
or radiomic feature values is widely documented. This scanner effect is detrimental to the …