Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme
CONCLUSION: The current study takes a third-party database and reduces physician bias from interfering with study findings. Further prospective and retrospective studies are needed to provide conclusive data.PMID:38644430 | DOI:10.1186/s43046-024-00217-3 (Source: J Egypt Natl Canc In...)
Source: J Egypt Natl Canc In... - April 21, 2024 Category: Cancer & Oncology Authors: H Shafeeq Ahmed Trupti Devaraj Maanini Singhvi T Arul Dasan Priya Ranganath Source Type: research
Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme
CONCLUSION: The current study takes a third-party database and reduces physician bias from interfering with study findings. Further prospective and retrospective studies are needed to provide conclusive data.PMID:38644430 | DOI:10.1186/s43046-024-00217-3 (Source: J Egypt Natl Canc In...)
Source: J Egypt Natl Canc In... - April 21, 2024 Category: Cancer & Oncology Authors: H Shafeeq Ahmed Trupti Devaraj Maanini Singhvi T Arul Dasan Priya Ranganath Source Type: research
Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme
CONCLUSION: The current study takes a third-party database and reduces physician bias from interfering with study findings. Further prospective and retrospective studies are needed to provide conclusive data.PMID:38644430 | DOI:10.1186/s43046-024-00217-3 (Source: J Egypt Natl Canc In...)
Source: J Egypt Natl Canc In... - April 21, 2024 Category: Cancer & Oncology Authors: H Shafeeq Ahmed Trupti Devaraj Maanini Singhvi T Arul Dasan Priya Ranganath Source Type: research
Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme
CONCLUSION: The current study takes a third-party database and reduces physician bias from interfering with study findings. Further prospective and retrospective studies are needed to provide conclusive data.PMID:38644430 | DOI:10.1186/s43046-024-00217-3 (Source: J Egypt Natl Canc In...)
Source: J Egypt Natl Canc In... - April 21, 2024 Category: Cancer & Oncology Authors: H Shafeeq Ahmed Trupti Devaraj Maanini Singhvi T Arul Dasan Priya Ranganath Source Type: research
Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer
ConclusionThe vViT is a competent deep learning model in predicting MGMT status. The ED radiomic features of the T2-weighted image demonstrated the most dominant contribution. (Source: Neuroradiology)
Source: Neuroradiology - April 20, 2024 Category: Radiology Source Type: research
Multi-omics technologies and molecular biomarkers in brain tumor-related epilepsy
CONCLUSIONS: Based on the synthesized information, this review provided new research perspectives and insights into the early diagnosis, etiological factors, and personalized treatment of BTRE.PMID:38641945 | PMC:PMC11031674 | DOI:10.1111/cns.14717 (Source: CNS Neuroscience and Therapeutics)
Source: CNS Neuroscience and Therapeutics - April 20, 2024 Category: Neuroscience Authors: Yaoqiang Du Rusong Li Danqing Fu Biqin Zhang Ailin Cui Yutian Shao Zeyu Lai Rongrong Chen Bingyu Chen Zhen Wang Wei Zhang Lisheng Chu Source Type: research
A novel network-based method identifies a cuproplasia-related pan-cancer gene signature to predict patient outcome
AbstractCopper is a vital micronutrient involved in many biological processes and is an essential component of tumour cell growth and migration. Copper influences tumour growth through a process called cuproplasia, defined as abnormal copper-dependent cell-growth and proliferation. Copper-chelation therapy targeting this process has demonstrated efficacy in several clinical trials against cancer. While the molecular pathways associated with cuproplasia are partially known, genetic heterogeneity across different cancer types has limited the understanding of how cuproplasia impacts patient survival. Utilising RNA-sequencing ...
Source: Human Genetics - April 20, 2024 Category: Genetics & Stem Cells Source Type: research
The description of epileptic seizures in the classical opera
Epilepsy and epileptic seizures have received attention in literature [1 –3] and sometimes even in painting [4–6]. However, with respect to music only very little is known about epilepsy or epileptic seizures as a topic of music. A link between music and epilepsy has been studied for musicogenic epilepsy including musical hallucinations [7,8], for ictal singing [9], and for music in the treatment of epilepsy [10,11]. A few classical composers have been diagnosed with epilepsy such as Hector Berlioz [12], Norbert Burgmüller due to alcoholism [13], George Gershwin due to a brain tumour [14], Hikari Oe [15], and probably...
Source: Seizure: European Journal of Epilepsy - April 20, 2024 Category: Neurology Authors: Stefan Evers Tags: Review Source Type: research
Cancers, Vol. 16, Pages 1579: High-Grade Glioma Recurrence Is Delayed in Hispanic Patients despite Severe Social Vulnerability: A Retrospective Cohort Study
Agarwal
High-grade gliomas (HGGs; WHO grade III or IV) are the most common and lethal brain malignancy. Patients of Hispanic ethnicity are diagnosed with HGGs earlier than non-Hispanic patients, but they exhibit improved HGG survival following diagnosis. Either environmental or biological factors could explain this survival benefit. We aimed to determine if post-diagnosis advantages would still be present in Hispanic patients with high social vulnerability, an environmental condition predisposing patients to poor oncologic outcomes. HGG outcomes were retrospectively assessed in a cohort of 22 Hispanic patients and 33 n...
Source: Cancers - April 20, 2024 Category: Cancer & Oncology Authors: Joshua A. Reynolds Isabella L. Pecorari Alexander Ledet Vijay Agarwal Tags: Article Source Type: research
Identification of Prognostic Markers of Glioblastoma through Bioinformatics Analysis
CONCLUSION: The prognostic risk model can effectively classify patients with glioblastoma into high-risk and low-risk groups in terms of overall survival rate, which may help select high-risk patients with glioblastoma for more intensive treatment.PMID:38639614 (Source: Alternative Therapies in Health and Medicine)
Source: Alternative Therapies in Health and Medicine - April 19, 2024 Category: Complementary Medicine Authors: Jieying Wen Haojie Zheng Xi Yuan Cuilan Huang Xiaogang Yang Zhiying Lin Guanglong Huang Source Type: research
Identification of Prognostic Markers of Glioblastoma through Bioinformatics Analysis
CONCLUSION: The prognostic risk model can effectively classify patients with glioblastoma into high-risk and low-risk groups in terms of overall survival rate, which may help select high-risk patients with glioblastoma for more intensive treatment.PMID:38639614 (Source: Alternative Therapies in Health and Medicine)
Source: Alternative Therapies in Health and Medicine - April 19, 2024 Category: Complementary Medicine Authors: Jieying Wen Haojie Zheng Xi Yuan Cuilan Huang Xiaogang Yang Zhiying Lin Guanglong Huang Source Type: research
Identification of Prognostic Markers of Glioblastoma through Bioinformatics Analysis
CONCLUSION: The prognostic risk model can effectively classify patients with glioblastoma into high-risk and low-risk groups in terms of overall survival rate, which may help select high-risk patients with glioblastoma for more intensive treatment.PMID:38639614 (Source: Alternative Therapies in Health and Medicine)
Source: Alternative Therapies in Health and Medicine - April 19, 2024 Category: Complementary Medicine Authors: Jieying Wen Haojie Zheng Xi Yuan Cuilan Huang Xiaogang Yang Zhiying Lin Guanglong Huang Source Type: research
Identification of Prognostic Markers of Glioblastoma through Bioinformatics Analysis
CONCLUSION: The prognostic risk model can effectively classify patients with glioblastoma into high-risk and low-risk groups in terms of overall survival rate, which may help select high-risk patients with glioblastoma for more intensive treatment.PMID:38639614 (Source: Alternative Therapies in Health and Medicine)
Source: Alternative Therapies in Health and Medicine - April 19, 2024 Category: Complementary Medicine Authors: Jieying Wen Haojie Zheng Xi Yuan Cuilan Huang Xiaogang Yang Zhiying Lin Guanglong Huang Source Type: research
Identification of Prognostic Markers of Glioblastoma through Bioinformatics Analysis
CONCLUSION: The prognostic risk model can effectively classify patients with glioblastoma into high-risk and low-risk groups in terms of overall survival rate, which may help select high-risk patients with glioblastoma for more intensive treatment.PMID:38639614 (Source: Alternative Therapies in Health and Medicine)
Source: Alternative Therapies in Health and Medicine - April 19, 2024 Category: Complementary Medicine Authors: Jieying Wen Haojie Zheng Xi Yuan Cuilan Huang Xiaogang Yang Zhiying Lin Guanglong Huang Source Type: research
GLI1+ Cells Contribute to Vascular Remodeling in Pulmonary Hypertension
CONCLUSIONS: Our data highlight GLI1+ cells as an alternative cellular source of VSMCs in pulmonary hypertension and suggest that these cells and the associated signaling pathways represent an important therapeutic target for further studies.PMID:38639105 | DOI:10.1161/CIRCRESAHA.123.323736 (Source: Circulation Research)
Source: Circulation Research - April 19, 2024 Category: Cardiology Authors: Xuran Chu Vahid Kheirollahi Arun Lingampally Prakash Chelladurai Chanil Valasarajan Ana Ivonne Vazquez-Armendariz Stefan Hadzic Ali Khadim Oleg Pak Stefano Rivetti Jochen Wilhelm Marek Bartkuhn Slaven Crnkovic Alena Moiseenko Monika Heiner Simone Kraut Le Source Type: research
