[HTML][HTML] microRNAs (miRNAs) in glioblastoma multiforme (GBM)—recent literature review

M Makowska, B Smolarz, H Romanowicz - International Journal of …, 2023 - mdpi.com
Glioblastoma multiforme (GBM) is the most common, malignant, poorly promising primary
brain tumor. GBM is characterized by an infiltrating growth nature, abundant vascularization …

Clinical Theranostics Trademark of Exosome in Glioblastoma Metastasis

S Nag, B Bhattacharya, S Dutta, D Mandal… - ACS Biomaterials …, 2023 - ACS Publications
Glioblastoma (GBM) is an aggressive type of cancer that has led to the death of a large
population. The traditional approach fails to develop a solution for GBM's suffering life …

[HTML][HTML] The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study

V Brancato, C Cavaliere, N Garbino, F Isgrò… - Frontiers in …, 2022 - frontiersin.org
Glioblastoma multiforme (GBM) typically exhibits substantial intratumoral heterogeneity at
both microscopic and radiological resolution scales. Diffusion Weighted Imaging (DWI) and …

[HTML][HTML] MRI-based radiomics combined with deep learning for distinguishing IDH-mutant WHO grade 4 astrocytomas from IDH-wild-type glioblastomas

SA Hosseini, E Hosseini, G Hajianfar, I Shiri, S Servaes… - Cancers, 2023 - mdpi.com
Simple Summary To differentiate IDH-mutant grade 4 astrocytomas from IDH-wild-type
glioblastomas, two MRI sequences (post-contrast T1 and T2-FLAIR) were acquired from 57 …

[HTML][HTML] Artificial intelligence in neuro-oncology

V Nakhate, LN Gonzalez Castro - Frontiers in Neuroscience, 2023 - frontiersin.org
Artificial intelligence (AI) describes the application of computer algorithms to the solution of
problems that have traditionally required human intelligence. Although formal work in AI has …

[HTML][HTML] Interpretable radiomic signature for breast microcalcification detection and classification

F Prinzi, A Orlando, S Gaglio, S Vitabile - Journal of Imaging Informatics in …, 2024 - Springer
Breast microcalcifications are observed in 80% of mammograms, and a notable proportion
can lead to invasive tumors. However, diagnosing microcalcifications is a highly complicated …

Metabolomic differentiation of tumor core versus edge in glioma

ME Baxter, HA Miller, J Chen, BJ Williams… - Neurosurgical …, 2023 - thejns.org
OBJECTIVE Gliomas exhibit high intratumor and interpatient heterogeneity. Recently, it has
been shown that the microenvironment and phenotype differ significantly between the …

An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approach

L Zhang, X Liu, X Xu, W Liu, Y Jia, W Chen, X Fu… - European Journal of …, 2023 - Elsevier
Background The histological sub-classes of brain tumors and the Ki-67 labeling index (LI) of
tumor cells are major factors in the diagnosis, prognosis, and treatment management of …

[HTML][HTML] Application of artificial intelligence in glioma researches: a bibliometric analysis

D Zhang, W Zhu, J Guo, W Chen, X Gu - Frontiers in Oncology, 2022 - frontiersin.org
Background There have been no researches assessing the research trends of the
application of artificial intelligence in glioma researches with bibliometric methods. Purpose …

[HTML][HTML] Radiomics: The new promise for differentiating progression, recurrence, pseudoprogression, and radionecrosis in glioma and glioblastoma multiforme

M Alizadeh, N Broomand Lomer, M Azami, M Khalafi… - Cancers, 2023 - mdpi.com
Simple Summary Progression/recurrence, pseudoprogression, and radionecrosis are all
scenarios that can be expected during the treatment course of glioma and GBM. Although …