Imaging Assessment of Radiation Therapy-Related Normal Tissue Injury in Children: A PENTEC Visionary Statement
JT Lucas Jr, ZR Abramson, K Epstein, CE Morin… - International Journal of …, 2024 - Elsevier
The Pediatric Normal Tissue Effects in the Clinic (PENTEC) consortium has made significant
contributions to understanding and mitigating the adverse effects of childhood cancer …
contributions to understanding and mitigating the adverse effects of childhood cancer …
Decoding Patient Heterogeneity Influencing Radiation-Induced Brain Necrosis
Purpose: In radiotherapy (RT) for brain tumors, patient heterogeneity masks treatment
effects, complicating the prediction and mitigation of radiation-induced brain necrosis …
effects, complicating the prediction and mitigation of radiation-induced brain necrosis …
Dosimetric parameters predict radiation-induced temporal lobe necrosis in nasopharyngeal carcinoma patients: A systematic review and meta-analysis
J Dong, WT Ng, CHL Wong, JS Li, H Bollen… - Radiotherapy and …, 2024 - Elsevier
This systematic review examines the role of dosimetric parameters in predicting temporal
lobe necrosis (TLN) risk in nasopharyngeal carcinoma (NPC) patients treated with three …
lobe necrosis (TLN) risk in nasopharyngeal carcinoma (NPC) patients treated with three …
Xerostomia prediction in patients with nasopharyngeal carcinoma during radiotherapy using segmental dose distribution in dosiomics and radiomics models
X Zhang, W Zheng, S Huang, LI Haojiang, BI Zhisheng… - Oral Oncology, 2024 - Elsevier
Objectives This study aimed to integrate radiomics and dosiomics features to develop a
predictive model for xerostomia (XM) in nasopharyngeal carcinoma after radiotherapy. It …
predictive model for xerostomia (XM) in nasopharyngeal carcinoma after radiotherapy. It …
[HTML][HTML] Deciphering the Prognostic Efficacy of MRI Radiomics in Nasopharyngeal Carcinoma: A Comprehensive Meta-Analysis
This meta-analysis investigates the prognostic value of MRI-based radiomics in
nasopharyngeal carcinoma treatment outcomes, specifically focusing on overall survival …
nasopharyngeal carcinoma treatment outcomes, specifically focusing on overall survival …
A pretreatment multiparametric MRI‐based radiomics‐clinical machine learning model for predicting radiation‐induced temporal lobe injury in patients with …
L Wang, T Qiu, J Zhou, Y Zhu, B Sun, G Yang… - Head & …, 2024 - Wiley Online Library
Background To establish and validate a machine learning model using pretreatment
multiparametric magnetic resonance imaging‐based radiomics data with clinical data to …
multiparametric magnetic resonance imaging‐based radiomics data with clinical data to …
[HTML][HTML] Deep learning-based prediction of thyroid cartilage invasion: Analysis on CT images in laryngeal and hypopharyngeal squamous cell carcinoma
Y Hao, J Wen, L Yang, Z Li, Y Guo, JW Luo… - Journal of Radiation …, 2024 - Elsevier
Purpose To provide new insights for the development of a deep learning-optimized
radiotherapy assistance system, we proposed a deep learning-based model for evaluating …
radiotherapy assistance system, we proposed a deep learning-based model for evaluating …