MRI-based radiomics nomogram for distinguishing solitary fibrous tumor from schwannoma in the orbit: a two-center study

[1] Westra WH(1994)Solitary fibrous tumor. Consistent CD34 immunoreactivity and occurrence in the orbit Am J Surg Pathol 18 992-998

[2] Gerald WL(2020)Orbital solitary fibrous tumors: a multi-centered histopathological and immunohistochemical analysis with radiological description Ann Saudi Med 40 227-233

[3] Rosai J(2015)Schwannoma of the orbit Arch Craniofac Surg 16 67-72

[4] Alkatan HM(2013)Value of MR imaging in differentiation between solitary fibrous tumor and schwannoma in the orbit AJNR Am J Neuroradiol 34 1067-1071

[5] Alsalamah AK(2021)Magnetic resonance imaging of orbital solitary fibrous tumors: radiological-pathological correlation analysis J Belg Soc Radiol 105 14-8110

[6] Almizel A(2022)Machine learning-based radiomics for histological classification of parotid tumors using morphological MRI: a comparative study Eur Radiol 32 8099-6942

[7] Kim KS(2022)Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study Eur Radiol 32 6933-6964

[8] Jung JW(2022)CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors Eur Radiol 32 6953-446

[9] Yoon KC(2023)Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas Insights Imaging 14 24-180

[10] Zhang Z(2012)Radiomics: extracting more information from medical images using advanced feature analysis Eur J Cancer 48 441-33

[1] Westra WH(1994)Solitary fibrous tumor. Consistent CD34 immunoreactivity and occurrence in the orbit Am J Surg Pathol 18 992-998

[2] Gerald WL(2020)Orbital solitary fibrous tumors: a multi-centered histopathological and immunohistochemical analysis with radiological description Ann Saudi Med 40 227-233

[3] Rosai J(2015)Schwannoma of the orbit Arch Craniofac Surg 16 67-72

[4] Alkatan HM(2013)Value of MR imaging in differentiation between solitary fibrous tumor and schwannoma in the orbit AJNR Am J Neuroradiol 34 1067-1071

[5] Alsalamah AK(2021)Magnetic resonance imaging of orbital solitary fibrous tumors: radiological-pathological correlation analysis J Belg Soc Radiol 105 14-8110

[6] Almizel A(2022)Machine learning-based radiomics for histological classification of parotid tumors using morphological MRI: a comparative study Eur Radiol 32 8099-6942

[7] Kim KS(2022)Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study Eur Radiol 32 6933-6964

[8] Jung JW(2022)CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors Eur Radiol 32 6953-446

[9] Yoon KC(2023)Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas Insights Imaging 14 24-180

[10] Zhang Z(2012)Radiomics: extracting more information from medical images using advanced feature analysis Eur J Cancer 48 441-33