Kui Liu, Rui Ge, Dan Luo, Yan Zheng, Zhenye Shen, Bin Chen, Wei Feng, Qionghai Wu
Delay analysis of pulmonary tuberculosis in the eastern coastal county of China from 2010 to 2021: evidence from two surveillance systems
Frontiers in public health
due variations surgical approaches prognosis intraspinal schwannomas meningiomas crucial accurately differentiate two prior surgery currently limited research exploring implementation machine learning ml methods distinguishing two types tumors study aimed establish classification regression tree cart model random forest rf model distinguishing schwannomas meningiomas retrospectively collected 88 schwannomas 52 males 36 females 51 meningiomas 10 males 41 females underwent magnetic resonance imaging mri examinations prior surgery simple clinical data mri imaging features including age sex tumor location size t1weighted images t1wi t2weighted images t2wi signal characteristics degree pattern enhancement dural tail sign ginkgo leaf sign intervertebral foramen widening ifw reviewed finally cart model rf model established based aforementioned features evaluate effectiveness differentiating two types tumors meanwhile also compared performance ml models radiologists receiver operating characteristic roc curve accuracy sensitivity specificity positive predictive value ppv negative predictive value npv used evaluate models clinicians discrimination performance investigation reveals significant variations ten 11 variables training group five 11 variables test group comparing schwannomas meningiomas p005 ultimately cart model incorporated five variables enhancement pattern presence ifw tumor location maximum diameter t2wi signal intensity si rf model combined 11 variables cart model rf model radiologist 1 radiologist 2 achieved area curve auc 0890 0956 0681 0723 training group 0838 0922 0580 0659 test group respectively rf prediction model exhibits exceptional performance experienced radiologist discriminating intraspinal schwannomas meningiomas rf model seems better discriminating two tumors cart model