Till Neugebauer, Diana Wahidie, Fabian Erdsiek, Yüce Yilmaz-Aslan, Patrick Brzoska
Perceived controllability of a SARS-CoV-2 infection: an investigation of intersectional differences
BMC public health
application radiomics thoracic lymph node metastasis lnm lung adenocarcinoma increasing diagnostic performance radiomics primary tumor predict lnm systematically reviewed therefore study sought provide general overview regarding methodological quality diagnostic performance using radiomic approaches predict likelihood lnm lung adenocarcinoma studies gathered literature databases pubmed embase web science core collection cochrane library radiomic quality score rqs quality assessment diagnostic accuracy studies2 quadas2 used assess quality study pooled sensitivity specificity area curve auc best radiomics models training validation cohorts calculated subgroup metaregression analyses also conducted seventeen studies 159 1202 patients enrolled years 2018 2022 ten studies sufficient data quantitative evaluation percentage rqs 111 444 studies considered low risk bias applicability concerns quadas2 pyradiomics logistic regression analysis commonly used software methods radiomics feature extraction selection respectively addition best prediction models seventeen studies mainly based radiomics features combined nonradiomics features semantic features andor clinical features pooled sensitivity specificity auc training cohorts 084 95 confidence interval ci 073091 088 95 ci 081093 09395 ci 090095 respectively validation cohorts pooled sensitivity specificity auc 089 95 ci 082094 086 95 ci 074093 094 95 ci 091096 respectively radiomic features based primary tumor potential predict preoperative lnm lung adenocarcinoma however radiomics workflow needs standardized better promote applicability radiomics crd42022375712