Discrimination of lipoma from atypical lipomatous tumor/well-differentiated liposarcoma using magnetic resonance imaging radiomics combined with machine learning-Reference-Cited by-同舟云学术

Discrimination of lipoma from atypical lipomatous tumor/well-differentiated liposarcoma using magnetic resonance imaging radiomics combined with machine learning

Published:2022-04-17 Issue:9 Volume:40 Page:951-960
ISSN:1867-1071
Container-title:Japanese Journal of Radiology
language:en
Short-container-title:Jpn J Radiol

Author:

Cay Nurdan^ORCID,Mendi Bokebatur Ahmet Rasit,Batur Halitcan,Erdogan Fazli

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11604-022-01278-x.pdf

Reference28 articles.

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3. Doyle AJ, Pang AK, Miller MV, French JG. Magnetic resonance imaging of lipoma and atypical lipomatous tumour/well-differentiated liposarcoma: observer performance using T1-weighted and fluid-sensitive MRI. J Med Imaging Radiat Oncol. 2008;52(1):44–8.

4. Gaskin CM, Helms CA. Lipomas, lipoma variants, and well-differentiated liposarcomas (atypical lipomas): results of MRI evaluations of 126 consecutive fatty masses. AJR Am J Roentgenol. 2004;182(3):733–9.

5. Ohguri T, Aoki T, Hisaoka M, Watanabe H, Nakamura K, Hashimoto H, et al. Differential diagnosis of benign peripheral lipoma from well-differentiated liposarcoma on MR imaging: is comparison of margins and internal characteristics useful? AJR Am J Roentgenol. 2003;180(6):1689–94.

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