Radiomics Analysis of Multiparametric MRI Evaluates the Pathological Features of Cervical Squamous Cell Carcinoma

Journal of Magnetic Resonance Imaging : JMRI
Qingxia WuMeiyun Wang

Abstract

Robust parameters to evaluate pathological aggressiveness are needed to provide individualized therapy for cervical cancer patients. To investigate the radiomics analysis of multiparametric MRI to evaluate tumor grade, lymphovascular space invasion (LVSI), and lymph node (LN) metastasis of cervical squamous cell carcinoma (CSCC). Retrospective. Fifty-six patients with histopathologically confirmed CSCC. 3T, axial T2 and T2 with fat suppression (FS), diffusion-weighted imaging (DWI) (multi-b values), axial dynamic contrast enhanced (DCE) MRI (8 sec temporal resolution). Regions of interest were drawn around the tumor on each axial slice and fused to generate the whole tumor volume. Sixty-six radiomics features were derived from each image sequence, including axial T2 and T2 FS, ADC maps, and Ktrans , Ve , and Vp maps from DCE MRI. A univariate analysis was performed to assess each parameter's association with tumor grade and the presence of lymphovascular space invasion (LVSI) and lymph node (LN) metastasis. A principal component analysis was employed for dimension reduction and to generate new discriminative valuables. Using logistic regression, a discriminative model of each parameter was built and a receiver operating charact...Continue Reading

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Citations

Jun 5, 2020·Critical Reviews in Oncology/hematology·Yao AiXiance Jin
Jul 9, 2021·The British Journal of Radiology·Lucia ManganaroStefania Rizzo
Oct 9, 2021·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Shadi A EsfahaniOnofrio A Catalano

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