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  1. Article

    Open Access

    Integration of pre-treatment computational radiomics, deep radiomics, and transcriptomics enhances soft-tissue sarcoma patient prognosis

    Our objective was to capture subgroups of soft-tissue sarcoma (STS) using handcraft and deep radiomics approaches to understand their relationship with histopathology, gene-expression profiles, and metastatic ...

    Amandine Crombé, Carlo Lucchesi, Frédéric Bertolo, Michèle Kind in npj Precision Oncology (2024)

  2. Article

    Open Access

    Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor

    Risk assessment of gastrointestinal stromal tumor (GIST) according to the AFIP/Miettinen classification and mutational profiling are major tools for patient management. However, the AFIP/Miettinen classificati...

    Yu Fu, Marie Karanian, Raul Perret, Axel Camara in npj Precision Oncology (2023)

  3. No Access

    Article

    Distinct patterns of the natural evolution of soft tissue sarcomas on pre-treatment MRIs captured with delta-radiomics correlate with gene expression profiles

    Radiomics of soft tissue sarcomas (STS) is assumed to correlate with histologic and molecular tumor features, but radiogenomics analyses are lacking. Our aim was to identify if distinct patterns of natural evo...

    Amandine Crombé, Frédéric Bertolo, David Fadli, Michèle Kind in European Radiology (2023)