Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications.
Damiano CarusoMichela PoliciMarta ZerunianFrancesco PucciarelliGisella GuidoTiziano PolidoriFederica LandolfiMatteo NicolaiElena LucertiniMariarita TaralloBenedetta BracciIlaria NacciCarlotta RucciMarwen EidElsa IannicelliAndrea LaghiPublished in: Cancers (2021)
Radiomics has the potential to play a pivotal role in oncological translational imaging, particularly in cancer detection, prognosis prediction and response to therapy evaluation. To date, several studies established Radiomics as a useful tool in oncologic imaging, able to support clinicians in practicing evidence-based medicine, uniquely tailored to each patient and tumor. Mineable data, extracted from medical images could be combined with clinical and survival parameters to develop models useful for the clinicians in cancer patients' assessment. As such, adding Radiomics to traditional subjective imaging may provide a quantitative and extensive cancer evaluation reflecting histologic architecture. In this Part II, we present an overview of radiomic applications in thoracic, genito-urinary, breast, neurological, hematologic and musculoskeletal oncologic applications.
Keyphrases
- high resolution
- lymph node metastasis
- papillary thyroid
- palliative care
- contrast enhanced
- rectal cancer
- spinal cord
- radical prostatectomy
- robot assisted
- squamous cell
- deep learning
- magnetic resonance imaging
- squamous cell carcinoma
- spinal cord injury
- optical coherence tomography
- mesenchymal stem cells
- risk assessment
- stem cells
- fluorescence imaging
- physical activity
- subarachnoid hemorrhage
- sleep quality
- brain injury
- magnetic resonance
- machine learning
- quantum dots
- free survival