[HTML][HTML] Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning
X Xie, C Shen, X Zhang, G Wu, B Yang, Z Qi, Q Tang… - …, 2023 - thelancet.com
Background Molecular diagnosis is crucial for biomarker-assisted glioma resection and
management. However, some limitations of current molecular diagnostic techniques prevent …
management. However, some limitations of current molecular diagnostic techniques prevent …
[HTML][HTML] Intraoperative molecular diagnosis of glioma through combination of radiofrequency signals from ultrasound and deep learning
AS Jakola, I Reinertsen - Ebiomedicine, 2024 - thelancet.com
Diffuse gliomas are the most common primary brain malignancy in adults. Treatment is
usually multimodal, with surgery followed by radiotherapy and chemotherapy. There has …
usually multimodal, with surgery followed by radiotherapy and chemotherapy. There has …
Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma
Background Glioblastoma is the most common primary brain malignancy, yet treatment
options are limited, and prognosis remains guarded. Individualized tumor genetic …
options are limited, and prognosis remains guarded. Individualized tumor genetic …
Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning
SR van der Voort, F Incekara, MMJ Wijnenga… - Neuro …, 2023 - academic.oup.com
Background Accurate characterization of glioma is crucial for clinical decision making. A
delineation of the tumor is also desirable in the initial decision stages but is time-consuming …
delineation of the tumor is also desirable in the initial decision stages but is time-consuming …
[HTML][HTML] U-Net based segmentation and characterization of gliomas
Simple Summary Gliomas comprise 80% of all malignant brain tumors. We aimed to develop
a deep learning-based framework for the automatic segmentation and characterization of …
a deep learning-based framework for the automatic segmentation and characterization of …
[PDF][PDF] MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5 D hybrid multi-task convolutional neural network
S Chakrabarty, P LaMontagne… - Neuro-Oncology …, 2023 - academic.oup.com
Background IDH mutation and 1p/19q codeletion status are important prognostic markers for
glioma that are currently determined using invasive procedures. Our goal was to develop …
glioma that are currently determined using invasive procedures. Our goal was to develop …
Accurate and rapid molecular subgrouping of high-grade glioma via deep learning-assisted label-free fiber-optic Raman spectroscopy
C Liu, J Wang, J Shen, X Chen, N Ji, S Yue - PNAS nexus, 2024 - academic.oup.com
Molecular genetics is highly related with prognosis of high-grade glioma. Accordingly, the
latest WHO guideline recommends that molecular subgroups of the genes, including IDH …
latest WHO guideline recommends that molecular subgroups of the genes, including IDH …
Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics
S Zhong, JX Ren, ZP Yu, YD Peng, CW Yu… - Journal of …, 2022 - thejns.org
OBJECTIVE The aim of this study was to build a convolutional neural network (CNN)–based
prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with …
prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with …
[HTML][HTML] Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks
Purpose Surgery is the predominant treatment modality of human glioma but suffers difficulty
on clearly identifying tumor boundaries in clinic. Conventional practice involves …
on clearly identifying tumor boundaries in clinic. Conventional practice involves …
[HTML][HTML] Application of intraoperative rapid molecular diagnosis in precision surgery for Glioma: mimic the World Health Organization CNS5 integrated diagnosis
H Xue, Z Han, H Li, X Li, D Jia, M Qi, H Zhang… - …, 2023 - journals.lww.com
BACKGROUND: With the advent of the molecular era, the diagnosis and treatment systems
of glioma have also changed. A single histological type cannot be used for prognosis grade …
of glioma have also changed. A single histological type cannot be used for prognosis grade …