[PDF][PDF] Neuro-Oncology Advances

M Foltyn, KNN Taborda, U Neuberger, G Brugnara… - 2020 - pdfs.semanticscholar.org
… A prime example in this respect is the recent identification of the T2/FLAIRmismatch sign
on standard MRI which was found to be a highly specific imaging biomarker (with reported …

Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)

S Rathore, S Mohan, S Bakas, C Sako… - Neuro-oncology …, 2020 - academic.oup.com
… It involves the extraction of thousands of diverse and complementary quantitative imaging
phenomic (QIP) features pertaining to volume, texture, morphology, kinetics, connectomics, …

[PDF][PDF] Neuro-Oncology Advances

JM Cameron, PM Brennan, G Antoniou, HJ Butler… - 2022 - researchgate.net
… tumor DNA (ctDNA), is measured and quantified.This method relies upon the target ctDNA
… identify serum spectral signatures for neurooncology. Analyst 2016;141(12):3668–3678. 30. …

[HTML][HTML] Prognostic and predictive value of integrated qualitative and quantitative magnetic resonance imaging analysis in glioblastoma

M Verduin, S Primakov, I Compter, HC Woodruff… - Cancers, 2021 - mdpi.com
… the additive value of qualitative and quantitative imaging heterogeneity analysis to established
… in this study is higher than generally reported in neuro-oncology radiomics studies [54]. …

Machine learning-based radiomics in neuro-oncology

F Ehret, D Kaul, H Clusmann, D Delev… - Machine Learning in …, 2022 - Springer
… Radiomics has advanced our understanding of neuro-oncology by seeking associations
between the imaging domain and other disciplines, and hence evolved into a vital part of multi-…

[HTML][HTML] The Use of 18F-FET-PET-MRI in Neuro-Oncology: The Best of Both Worlds—A Narrative Review

T van de Weijer, MPG Broen, RPM Moonen, A Hoeben… - Diagnostics, 2022 - mdpi.com
… frequently in neuro-oncology as an add… imaging with PET-MRI within neuro-oncology for
the staging and follow-up of disease. Both modalities and their integration within hybrid imaging

[HTML][HTML] Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review

N Wijethilake, O MacCormac, T Vercauteren… - Frontiers in …, 2023 - frontiersin.org
… tissue structure in neuro-oncology using qualitative and quantitative measures. DWI …
index was predicted using 1,128 quantitative imaging features extracted from preoperative …

[HTML][HTML] Radiomics and deep learning from research to clinical workflow: neuro-oncologic imaging

JE Park, P Kickingereder, HS Kim - Korean journal of radiology, 2020 - ncbi.nlm.nih.gov
… radiological assessments in neuro-oncology. The ongoing … and deep learning in neuro-oncology
and discuss challenges in … then be used as quantitative imaging biomarkers. Briefly, …

Amino Acid PET/MRI in Neuro-oncology

H Shooli, M Assadi, SA Nabavizadeh… - Hybrid PET/MR …, 2022 - Springer
imaging findings on the same patients. In order to tackle this challenge, one study tried to
compare qualitative and quantitative imagingQualitative assessment of images showed no …

Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294

KP McGee, KP Hwang, DC Sullivan… - Medical …, 2021 - Wiley Online Library
imaging biomarkers are capable of generating numeric values, this does not necessarily qualify
them as being a quantitative imaging biomarker … Assessment in Neuro-Oncology criteria (…