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Multiparametric MRI diagnosis of soft tissue tumors.

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dc.contributor.author Xodjamova Gulbahor Adhamovna, Nishanova Yulduz Xatamovna
dc.date.accessioned 2022-12-21T08:28:40Z
dc.date.available 2022-12-21T08:28:40Z
dc.date.issued 2022-12
dc.identifier.uri http://repository.tma.uz/xmlui/handle/1/5414
dc.description.abstract The purpose of the study. To evaluate multiparametric MRI for differentiation of benign and malignant soft tissue tumors. Material and methods: This is a retrospective study of 67 patients (average age 55 years; 18-82 years) with 35 benign and 32 malignant soft tissue tumors. The parameters were compared between benign and malignant tumors. Results: ADC and D were significantly lower in malignant than benign soft tissue tumors (1170 ± 488 vs. 1472 ± 349 mm2/s; 1132 ± 500 vs. 1415 ± 374 mm2/s; p <0.05). K trans , K ep, V e and iAUC significantly differed between malignant and benign soft tissue tumors (0.209 ± 0.160 vs. 0.092 ± 0.067 min -1; 0.737 ± 0.488 vs. 0.311 ± 0.230 min -1 ; 0.32 ± 0.17 vs. 0.44 ± 0.28; 0.23 ± 0.14 vs. 0.12 ± 0.09, p <0.05, respectively). ADC (0.752), D (0.742) and ep (0.817) had high AUC. Subgroup analysis showed that only K-trans and iAUC differed significantly in myxoid tumors, while ADC, D, K-trans, K ep and iAUC differed significantly in non-myxoid tumors to differentiate benign and malignant tumors. D, K ep and iAUC were the most significant, predictable malignant soft tissue tumors. Conclusion: Multiparametric MRI can be useful for differentiating benign and malignant soft tissue tumors using IVIM-DWI and DCE-MRI. en_US
dc.publisher Art of Medicine International Medical Scientific Journal en_US
dc.subject IVIM-DWI, DCE-MRI, iAUC, en_US
dc.title Multiparametric MRI diagnosis of soft tissue tumors. en_US
dc.type Article en_US


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