Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks

L Liu, H Zhang, J Wu, Z Yu, X Chen, I Rekik… - Brain imaging and …, 2019 - Springer
High-grade glioma (HGG) is a lethal cancer with poor outcome. Accurate preoperative
overall survival (OS) time prediction for HGG patients is crucial for treatment planning …

Outcome prediction for patient with high-grade gliomas from brain functional and structural networks

L Liu, H Zhang, I Rekik, X Chen, Q Wang… - Medical Image Computing …, 2016 - Springer
High-grade glioma (HGG) is a lethal cancer, which is characterized by very poor prognosis.
To help optimize treatment strategy, accurate preoperative prediction of HGG patient's …

[HTML][HTML] Machine learning analytics of resting-state functional connectivity predicts survival outcomes of glioblastoma multiforme patients

B Lamichhane, AGS Daniel, JJ Lee, DS Marcus… - Frontiers in …, 2021 - frontiersin.org
Glioblastoma multiforme (GBM) is the most frequently occurring brain malignancy. Due to its
poor prognosis with currently available treatments, there is a pressing need for easily …

Non‐invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics

J Zhu, J Ye, L Dong, X Ma, N Tang, P Xu… - … Journal of Imaging …, 2023 - Wiley Online Library
Glioblastoma multiforme (GBM) is the most common and deadly primary malignant brain
tumor. As GBM tumor is aggressive and shows high biological heterogeneity, the overall …

: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients

T Zhou, H Fu, Y Zhang, C Zhang, X Lu, J Shen… - … Image Computing and …, 2020 - Springer
Early and accurate prediction of overall survival (OS) time can help to obtain better treatment
planning for brain tumor patients. Although many OS time prediction methods have been …

[HTML][HTML] Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages

D Nie, J Lu, H Zhang, E Adeli, J Wang, Z Yu, LY Liu… - Scientific reports, 2019 - nature.com
High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative
prognosis for this cohort can lead to better treatment planning. Conventional survival …

[HTML][HTML] Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics

J Ye, H Huang, W Jiang, X Xu, C Xie, B Lu… - Scientific …, 2021 - hindawi.com
Glioma is one of the most common and deadly malignant brain tumors originating from glial
cells. For personalized treatment, an accurate preoperative prognosis for glioma patients is …

Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients

Z Tang, Y Xu, L Jin, A Aibaidula, J Lu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For
personalized treatment, an accurate pre-operative prognosis for GBM patients is highly …

[HTML][HTML] Predicting overall survival in diffuse glioma from the presurgical connectome

SR Kesler, RA Harrison, V Rao, H Dyson, M Petersen… - Scientific reports, 2022 - nature.com
Diffuse gliomas are incurable brain tumors, yet there is significant heterogeneity in patient
survival. Advanced computational techniques such as radiomics show potential for …

[HTML][HTML] Machine learning and radiomic features to predict overall survival time for glioblastoma patients

L Chato, S Latifi - Journal of personalized medicine, 2021 - mdpi.com
Glioblastoma is an aggressive brain tumor with a low survival rate. Understanding tumor
behavior by predicting prognosis outcomes is a crucial factor in deciding a proper treatment …