RT Journal Article
T1 Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis.
A1 Lobato-Delgado, Barbara
A1 Priego-Torres, Blanca
A1 Sanchez-Morillo, Daniel
K1 Artificial intelligence
K1 Cancer
K1 Data integration
K1 Machine learning
K1 Multimodal data
K1 Patient risk stratification
K1 Prognosis prediction
K1 Survival analysis
AB Cancer is one of the most detrimental diseases globally. Accordingly, the prognosis prediction of cancer patients has become a field of interest. In this review, we have gathered 43 state-of-the-art scientific papers published in the last 6 years that built cancer prognosis predictive models using multimodal data. We have defined the multimodality of data as four main types: clinical, anatomopathological, molecular, and medical imaging; and we have expanded on the information that each modality provides. The 43 studies were divided into three categories based on the modelling approach taken, and their characteristics were further discussed together with current issues and future trends. Research in this area has evolved from survival analysis through statistical modelling using mainly clinical and anatomopathological data to the prediction of cancer prognosis through a multi-faceted data-driven approach by the integration of complex, multimodal, and high-dimensional data containing multi-omics and medical imaging information and by applying Machine Learning and, more recently, Deep Learning techniques. This review concludes that cancer prognosis predictive multimodal models are capable of better stratifying patients, which can improve clinical management and contribute to the implementation of personalised medicine as well as provide new and valuable knowledge on cancer biology and its progression.
PB MDPI
SN 2072-6694
YR 2022
FD 2022-06-30
LK http://hdl.handle.net/10668/20906
UL http://hdl.handle.net/10668/20906
LA en
NO Lobato-Delgado B, Priego-Torres B, Sanchez-Morillo D. Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis. Cancers (Basel). 2022 Jun 30;14(13):3215
DS RISalud
RD Apr 14, 2025