Deep learning-based precise prediction and early detection of radiation-induced temporal lobe injury for nasopharyngeal carcinoma

PY OuYang, BY Zhang, JG Guo, JN Liu, J Li… - …, 2023 - thelancet.com
Background Radiotherapy is the mainstay of treatment for nasopharyngeal carcinoma.
Radiation-induced temporal lobe injury (TLI) can regress or resolve in the early phase, but it …

Development and validation of a nomogram for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma

W Guan, K Xie, Y Fan, S Lin, R Huang, Q Tang… - Frontiers in …, 2020 - frontiersin.org
Background The purpose was to develop and validate a nomogram for prediction on
radiation-induced temporal lobe injury (TLI) in patients with nasopharyngeal carcinoma …

Magnetic resonance imaging‐based radiomics model for predicting radiation‐induced temporal lobe injury in nasopharyngeal carcinoma after intensity‐modulated …

D Bao, Y Zhao, Z Liu, H Xu, Y Zhang, M Yuan… - Head & …, 2022 - Wiley Online Library
Background To develop a model based on magnetic resonance imaging (MRI) radiomics
and clinical features for predicting radiation‐induced temporal lobe injury (RTLI) in patients …

Nomogram based on clinical and radiomics data for predicting radiation-induced temporal lobe injury in patients with non-metastatic stage T4 nasopharyngeal …

X Bin, C Zhu, Y Tang, R Li, Q Ding, W Xia, X Tang… - Clinical Oncology, 2022 - Elsevier
Aims To use pre-treatment magnetic resonance imaging-based radiomics data with clinical
data to predict radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma …

MRI-based radiomics models for the early prediction of radiation-induced temporal lobe injury in nasopharyngeal carcinoma

L Huang, Z Yang, Z Zeng, H Ren, M Jiang, Y Hu… - Frontiers in …, 2023 - frontiersin.org
Objective This study was conducted to develop and validate a radiomics-clinics combined
model-based magnetic resonance imaging (MRI) radiomics and clinical features for the …

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

B Zhang, Z Lian, L Zhong, X Zhang, Y Dong, Q Chen… - BMC cancer, 2020 - Springer
Background Early radiation-induced temporal lobe injury (RTLI) diagnosis in
nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI …

Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: A large …

DW Wen, L Lin, YP Mao, CY Chen, FP Chen… - Radiotherapy and …, 2021 - Elsevier
Purpose To develop predictive models with dosimetric and clinical variables for temporal
lobe injury (TLI) in nasopharyngeal carcinoma (NPC) after intensity-modulated radiotherapy …

Added value of histogram analysis of ADC in predicting radiation-induced temporal lobe injury of patients with nasopharyngeal carcinoma treated by intensity …

D Bao, Y Zhao, W Wu, H Zhong, M Yuan, L Li, M Lin… - Insights into …, 2022 - Springer
Background This study evaluated the predictive potential of histogram analysis derived from
apparent diffusion coefficient (ADC) maps in radiation-induced temporal lobe injury (RTLI) of …

Development and validation of a model for temporal lobe necrosis for nasopharyngeal carcinoma patients with intensity modulated radiation therapy

J Wang, Y Miao, X Ou, X Wang, X He, C Shen… - Radiation …, 2019 - Springer
Purpose To develop and validate a quantitative complication model of temporal lobe
necrosis (TLN). To analyze the effect of clinical and dosimetric factors on TLN. Patients and …

A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma

D Bao, Y Zhao, L Li, M Lin, Z Zhu, M Yuan, H Zhong… - European …, 2022 - Springer
Objectives To develop and validate a radiomics-based model for predicting radiation-
induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) by pretreatment …