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Turning ordinary CT, MRI and PET scans into hundreds of measured features of shape and texture that computers relate to tumour biology and outcome.
Radiomics, a term coined in 2012, extracts quantitative descriptors of intensity, shape and texture from medical images and links them to diagnosis, prognosis or treatment response. Radiogenomics goes a step further by relating imaging phenotypes to tumour mutations and expression. Reproducibility across scanners and protocols has been the main obstacle, addressed by the Image Biomarker Standardisation Initiative and by deep-learning models trained end to end.
Segment the tumour, compute standardised feature sets or learned representations, then fit predictive models validated on external cohorts.
Query for this technology: (TITLE:"Radiomics" OR ABSTRACT:"Radiomics") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Radiomics, not a curated reading list.
Shares Dual-energy and spectral CT, Low-dose CT lung screening.
Shares Tumour volume doubling time, Low-dose CT lung screening.
Shares Radiogenomics: predicting radiation sensitivity from genes, Radiology imaging as a data modality (CT, MRI, TCIA), Tumour volume doubling time, Quantitative imaging biomarkers (RECIST, PERCIST, SUV, ADC).
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
The reference open implementation of radiomic feature extraction, standardised against the Image Biomarker Standardisation Initiative.
The Computational Environment for Radiological Research, a MATLAB platform for radiotherapy plan analysis, radiomics and outcomes modelling from MSK.
The Cancer Imaging Phenomics Toolkit from Penn: brain tumour segmentation, radiomics and survival prediction in one application.
Medical Image Radiomics Processor from OncoRay Dresden, IBSI-compliant feature extraction and image processing.
Turns messy DICOM folders into analysis-ready arrays with RTSTRUCT and dose handling, from the Haibe-Kains lab.