[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 …
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)
… It involves the extraction of thousands of diverse and complementary quantitative imaging
phenomic (QIP) features pertaining to volume, texture, morphology, kinetics, connectomics, …
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. …
… 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
… 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]. …
… in this study is higher than generally reported in neuro-oncology radiomics studies [54]. …
Machine learning-based radiomics in neuro-oncology
… 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-…
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 …
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
… tissue structure in neuro-oncology using qualitative and quantitative measures. DWI …
index was predicted using 1,128 quantitative imaging features extracted from preoperative …
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, …
and discuss challenges in … then be used as quantitative imaging biomarkers. Briefly, …
Amino Acid PET/MRI in Neuro-oncology
… imaging findings on the same patients. In order to tackle this challenge, one study tried to
compare qualitative and quantitative imaging … Qualitative assessment of images showed no …
compare qualitative and quantitative imaging … Qualitative 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 (…
them as being a quantitative imaging biomarker … Assessment in Neuro-Oncology criteria (…