Publications by authors named "Vincent Zossou"
Background: Cardiac disease (CD) is a primary long-term diagnosed pathology among childhood cancer survivors. Dosiomics (radiomics extracted from the dose distribution) have received attention in the past few years to assess better the induced risk of radiotherapy (RT) than standard dosimetric features such as dose-volume indicators. Hence, using the spatial information contained in the dosiomics features with machine learning methods may improve the prediction of CD.
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Med Trop Sante Int
September 2024
Introduction: Primary liver cancer (PLC) occupied the 6th and 3rd place in the world respectively in terms of incidence and mortality in 2020. The objective of this work was to study the survival and prognostic factors of primary liver cancer from 2014 to 2020 in Cotonou.
Materials And Methods: This retrospective cohort study included 150 patients registered with primary liver cancer, in the database of the Cotonou Cancer Registry, over a seven-years period from 01/01/2014 to 12/31/2020.
Article Synopsis
- Valvular Heart Disease (VHD) is a serious late effect of childhood cancer treatment, especially with radiotherapy, and accurately identifying at-risk survivors is difficult.
- This study suggests that analyzing the distribution of radiation doses absorbed by heart tissues through a dosiomics signature could enhance understanding of VHD risk, beyond just the total dose received.
- Data from 7670 survivors revealed that while the standard mean heart dose (MHD) and dosiomics models performed similarly overall, dosiomics features significantly improved predictive capabilities for survivors who received uneven heart dose distributions, potentially aiding in better personalized follow-up care.