Cargando…

Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain

Grading of gliomas is a piece of critical information related to prognosis and survival. Classifying glioma grade by semantic radiological features is subjective, requires multiple MRI sequences, is quite complex and clinically demanding, and can very often result in erroneous radiological diagnosis...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kumar, Anuj, Jha, Ashish Kumar, Agarwal, Jai Prakash, Yadav, Manender, Badhe, Suvarna, Sahay, Ayushi, Epari, Sridhar, Sahu, Arpita, Bhattacharya, Kajari, Chatterjee, Abhishek, Ganeshan, Balaji, Rangarajan, Venkatesh, Moyiadi, Aliasgar, Gupta, Tejpal, Goda, Jayant S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305272/ https://www.ncbi.nlm.nih.gov/pubmed/37373909 http://dx.doi.org/10.3390/jpm13060920

Ejemplares similares

Predicting IDH subtype of grade 4 astrocytoma and glioblastoma from tumor radiomic patterns extracted from multiparametric magnetic resonance images using a machine learning approach
por: Kandalgaonkar, Pashmina, et al.
Publicado: (2022)

LINC-29. IMPACT OF RELA FUSION ON OUTCOMES OF CHILDHOOD SUPRATENTORIAL EPENDYMOMAS (ST-EPEN)
por: Chinnaswamy, Girish, et al.
Publicado: (2020)

LINC-25. BRAF ABERRATIONS IN PEDIATRIC PILOCYTIC ASTROCYTOMAS (PCAs): PREVALENCE AND IMPACT ON CLINICAL OUTCOME
por: Ramanathan, Subramaniam, et al.
Publicado: (2020)

Utility of flouro-deoxy-glucose positron emission tomography/computed tomography in the diagnostic and staging evaluation of patients with primary CNS lymphoma
por: Gupta, Meetakshi, et al.
Publicado: (2019)

Systemic inflammatory biomarkers in primary central nervous system lymphoma versus high-grade glioma: exploratory, comparative and correlative analysis
por: Gupta, Tejpal, et al.
Publicado: (2022)

CLRM-12 TITLE: STEREOTACTIC RADIOSURGERY (ADJUVANT OR NEOADJUVANT) COMPARED TO HIPPOCAMPAL AVOIDANCE WHOLE BRAIN RADIATION THERAPY WITH SIMULTANEOUS INTEGRATED BOOST FOR LIMITED BRAIN METASTASES (SRS-CHART): PHASE III OPEN-LABEL PARALLEL-GROUP RANDOMIZED CONTROLLED TRIAL
por: Dasgupta, Archya, et al.
Publicado: (2022)

EMBR-17. DE-INTENSIFICATION OF RADIOTHERAPY IN RIGOROUSLY DEFINED LOW-RISK WNT-SUBGROUP MEDULLOBLASTOMA IS ASSOCIATED WITH UNACCEPTABLY HIGH RISK OF NEURAXIAL FAILURE: RESULTS FROM THE PROSPECTIVE FOR-WNT STUDY
por: Gupta, Tejpal, et al.
Publicado: (2021)

Multiparametric Magnetic Resonance Imaging Correlates of Isocitrate Dehydrogenase Mutation in WHO high-Grade Astrocytomas
por: Sahu, Arpita, et al.
Publicado: (2022)

Imaging-Based Patterns of Failure following Re-Irradiation for Recurrent/Progressive High-Grade Glioma †
por: Datta, Debanjali, et al.
Publicado: (2023)

MEDB-27. Clinico-Radiological Outcomes in WNT-pathway Medulloblastoma: Retrospective Single Institutional Audit
por: Mani, Shakthivel, et al.
Publicado: (2022)

Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction
por: Mahajan, Abhishek, et al.
Publicado: (2023)

LINC-12. COMBINED ADULT AND PAEDIATRIC NEURO-ONCOLOGY LONG-TERM SURVIVOR CLINIC EXPERIENCE FROM A TERTIARY CANCER CENTRE IN A LOW-MIDDLE-INCOME COUNTRY
por: Krishnatry, Rahul, et al.
Publicado: (2020)

EMBR-14. INFLUENCE OF MRI FEATURES ON THE SURVIVAL AND IMPACT ON INDIVIDUAL MOLECULAR SUBGROUPS: RESULT FROM 171 PATIENTS WITH MEDULLOBLASTOMA
por: Dasgupta, Archya, et al.
Publicado: (2021)

Utility of FET-PET in detecting high-grade gliomas presenting with equivocal MR imaging features
por: Puranik, Ameya D., et al.
Publicado: (2019)

MMAP-08 CHEMO-REIRRADIATION (NORMOFRACTIONATED VS. HYPOFRACTIONATED) WITH OR WITHOUT BEVACIZUMAB IN RECURRENT ADULT DIFFUSE HIGH-GRADE GLIOMA (COBRA): PHASE III RANDOMIZED CONTROLLED TRIAL WITH A 2 X 2 FACTORIAL DESIGN
por: Baviskar, Yamini, et al.
Publicado: (2022)

LINC-19. Epidemiological Profile And Management Trends in Pediatric Brain Tumour Patients – 15 Year Experience From a Tertiary Neuro-Oncology Centre In South Asia
por: Singh, Vikas, et al.
Publicado: (2022)

MBRS-61. MOLECULAR SUB-GROUPING OF PEDIATRIC MEDULLOBLASTOMA: CORRELATION WITH CLINICAL AND HISTOLOGICAL FEATURES, A SINGLE INSTITUTIONAL STUDY
por: Deshpande, Gauri, et al.
Publicado: (2020)

Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach - a systematic review and meta-analysis
por: Guha, Amrita, et al.
Publicado: (2022)

Unilateral primary adrenal natural killer/T-cell lymphoma: Role of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography for staging and interim response assessment
por: Kabnurkar, Rasika, et al.
Publicado: (2016)

Metabolic tumor parameters complement clinicopathological factors in prognosticating advanced stage Hodgkin Lymphoma
por: Mohite, Ashish, et al.
Publicado: (2023)

Quantitative Proteomic Analysis of Meningiomas for the Identification of Surrogate Protein Markers
por: Sharma, Samridhi, et al.
Publicado: (2014)

Subventricular zone involvement in Glioblastoma – A proteomic evaluation and clinicoradiological correlation
por: Gollapalli, Kishore, et al.
Publicado: (2017)

Rare solitary focal tuberculous involvement of liver masquerading as hepatic metastasis on FDG PET/CT in a case of fibular round cell tumor
por: Puranik, Ameya D, et al.
Publicado: (2015)

Primary Neuroendocrine Tumor of Prostate in a Case of Metastatic Adenocarcinoma of Lung: Rare Entity with Histopathological and Gallium 68 DOTANOC Positron Emission Tomography Correlation
por: Dev, Indraja D., et al.
Publicado: (2023)

A large-scale targeted proteomics of serum and tissue shows the utility of classifying high grade and low grade meningioma tumors
por: Halder, Ankit, et al.
Publicado: (2023)

Radiomic Analysis of MRI Images is Instrumental to the Stratification of Ovarian Cysts
por: Lupean, Roxana-Adelina, et al.
Publicado: (2020)

A Novel Method for Differential Prognosis of Brain Degenerative Diseases Using Radiomics-Based Textural Analysis and Ensemble Learning Classifiers
por: Jain, Manju, et al.
Publicado: (2021)

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer
por: Jha, Ashish Kumar, et al.
Publicado: (2023)

Using texture analysis in the development of a potential radiomic signature for early identification of hepatic metastasis in colorectal cancer
por: Devoto, Laurence, et al.
Publicado: (2022)

Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology
por: Jha, Ashish Kumar, et al.
Publicado: (2023)

WNT-pathway medulloblastoma: what constitutes low-risk and how low can one go?
por: Mani, Shakthivel, et al.
Publicado: (2023)

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
por: Wu, Weimiao, et al.
Publicado: (2016)

ALK1 Gene Rearranged Pulmonary Sarcomatoid Carcinoma Masquerading as Tuberculosis in a Young Male
por: Sahay, Ayushi, et al.
Publicado: (2021)

Prospective longitudinal assessment of parotid gland function using dynamic quantitative pertechnate scintigraphy and estimation of dose–response relationship of parotid-sparing radiotherapy in head-neck cancers
por: Gupta, Tejpal, et al.
Publicado: (2015)

What's new in critical illness and injury science? Rationale drug usage - A long way ahead!
por: Sodhi, Kanwalpreet, et al.
Publicado: (2013)

Deep proteome investigation of high-grade gliomas reveals heterogeneity driving differential metabolism of 5-aminolevulinic acid
por: Ghantasala, Saicharan, et al.
Publicado: (2023)

Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience
por: Gupta, Pankaj, et al.
Publicado: (2021)

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
por: Parmar, Chintan, et al.
Publicado: (2015)

Evaluation of the Efficiency of MRI-Based Radiomics Classifiers in the Diagnosis of Prostate Lesions
por: Li, Linghao, et al.
Publicado: (2022)

A radiomic model to classify response to neoadjuvant chemotherapy in breast cancer
por: McAnena, Peter, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_26ekfbu5umb4bukveisbpsotdc