Table 2.xls (5.5 kB)

Statistical parameters and Haralick texture features computed from MR images.

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posted on 2022-02-14, 19:08 authored by Ka Yaw Teo, Ovidiu Daescu, Kevin Cederberg, Anita Sengupta, Patrick J. Leavey

Statistical parameters and Haralick texture features computed from MR images.

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specific features representative one became ineligible mr image type mr image features mr image co time inversion recovery surgical evaluation using magnetic resonance imaging dynamic contrast enhanced mr images using viable tumor regions predicting tumor response grade appendicular osteosarcoma weighted majority ruling newly diagnosed high center observational study xlink "> osteosarcoma tumor necrosis prediction tumor necrosis calculated classification model development novel classification model whole tumor volume mri ), used conventional mri improved osteosarcoma using multi xlink "> patients chemotherapy xlink ">mr images viable tumor tumor response grade osteosarcoma surgical imaging tumor necrosis classification model conventional mri childhood osteosarcoma subsequently used short inversion neoadjuvant chemotherapy n contrast t1 necrosis quantified distinguishing necrosis differentiating necrosis principle model mri sequences mri plane modal mri extract mri advanced mri testable biomarker subsequently developed subsequent extraction stir ))remains dependent pediatric patients fat saturation established based equally effective distinguishing necrotic disease prior diffusion weighted 90 %.30 years 15 patients 10 patients

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