Ana Rita Cerqueira, Ana Sofia Alves, Matilde Monteiro-Soares, Dabney Hailey, Domingos Loureiro, Sofia Baptista
Visual Thinking Strategies in medical education: a systematic review
BMC medical education
2021 classification cns tumors challenge neuroradiologists due central role molecular profile tumors potential novel data analysis tools neuroimaging must harnessed maintain role predicting tumor subgroups performed scoping review determine current evidence research gaps comprehensive literature search conducted regarding glioma subgroups according 2021 classification use mri radiomics machine learning deep learning algorithms sixtytwo original articles included analyzed extracting data study design results 8 studies included pediatric patients lowgrade gliomas diffuse midline gliomas represented onethird research papers public datasets utilized 22 studies conventional imaging sequences prevailed data functional mri dwi pwi cest etc underrepresented multiparametric mri yielded best prediction results idh mutation 1p19q codeletion status prediction remain focus limited data molecular subgroups reported auc values range 06 098 studies designed assess generalizability scarce performance worse smaller subgroups eg 1p19q codeleted idh12 mutated gliomas highquality study designs diversity analyzed population techniques needed