Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy
X Zheng, W Guo, Y Wang, J Zhang, Y Zhang… - European Journal of …, 2023 - Springer
Purpose The study aimed to predict acute radiation esophagitis (ARE) with grade≥ 2 for
patients with locally advanced lung cancer (LALC) treated with intensity-modulated radiation …
patients with locally advanced lung cancer (LALC) treated with intensity-modulated radiation …
Lung subregion partitioning by incremental dose intervals improves omics-based prediction for acute radiation pneumonitis in non-small-cell lung cancer patients
Simple Summary Acute radiation pneumonitis (ARP) is one of the common radiation
toxicities in patients with non-small-cell lung cancer (NSCLC) treated by radiotherapy. The …
toxicities in patients with non-small-cell lung cancer (NSCLC) treated by radiotherapy. The …
A radiomic‐ and dosiomic‐based machine learning regression model for pretreatment planning in 177Lu‐DOTATATE therapy
D Plachouris, V Eleftheriadis, T Nanos… - Medical …, 2023 - Wiley Online Library
Background Standardized patient‐specific pretreatment dosimetry planning is mandatory in
the modern era of nuclear molecular radiotherapy, which may eventually lead to …
the modern era of nuclear molecular radiotherapy, which may eventually lead to …
Prognostic generalization of multi‐level CT‐dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma
C Cai, W Lv, F Chi, B Zhang, L Zhu, G Yang… - Medical …, 2023 - Wiley Online Library
Purpose To investigate the prognostic performance of multi‐level computed tomography
(CT)‐dose fusion dosiomics at the image‐, matrix‐, and feature‐levels from the gross tumor …
(CT)‐dose fusion dosiomics at the image‐, matrix‐, and feature‐levels from the gross tumor …
Utilizing radiomics and dosiomics with AI for precision prediction of radiation dermatitis in breast cancer patients
TF Lee, CH Chang, CH Chi, YH Liu, JC Shao… - BMC cancer, 2024 - Springer
Purpose This study explores integrating clinical features with radiomic and dosiomic
characteristics into AI models to enhance the prediction accuracy of radiation dermatitis (RD) …
characteristics into AI models to enhance the prediction accuracy of radiation dermatitis (RD) …
[HTML][HTML] Combining dosiomics and machine learning methods for predicting severe cardiac diseases in childhood cancer survivors: the French Childhood Cancer …
M Bentriou, V Letort, S Chounta… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Background Cardiac disease (CD) is a primary long-term diagnosed pathology among
childhood cancer survivors. Dosiomics (radiomics extracted from the dose distribution) have …
childhood cancer survivors. Dosiomics (radiomics extracted from the dose distribution) have …
Dosiomics-Enhanced Prediction Modeling: An Artificial Intelligence-Based Workflow in Radiation Oncology
P Salome - 2024 - archiv.ub.uni-heidelberg.de
Krebs ist heute die zweithäufigste Todesursache weltweit. Chirurgischen Eingriff, einer
Strahlentherapie, einer systemischen Therapie (zB Chemotherapie bzw. Immuntherapie) …
Strahlentherapie, einer systemischen Therapie (zB Chemotherapie bzw. Immuntherapie) …
Radiotherapy data analysis and reporting (RADAR) toolkit: an end-to-end artificial intelligence development solution for precision medicine
J Zhang - 2023 - theses.lib.polyu.edu.hk
Radiotherapy is one of the mainstream treatment modalities for cancer. A large amount of
structured data, including image, dose, and structure delineations, is produced during …
structured data, including image, dose, and structure delineations, is produced during …