Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.

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Abstract

Preoperative differentiation between malignant and benign soft-tissue masses is important for treatment decisions.

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Journal

Journal ID (iso-abbrev): J Magn Reson Imaging

Title: Journal of magnetic resonance imaging : JMRI

Publisher: Wiley

ISSN (Electronic): 1522-2586

ISSN (Print): 1053-1807

Publication date (Electronic): September 2020

Volume: 52

Issue: 3

Affiliations

[1 ] Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

[2 ] Department of General Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

[3 ] Department of Radiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.

[4 ] Department of Pediatric Surgery, Shandong University Qilu Hospital, Jinan, Shandong, China.

[5 ] Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

[6 ] Department of Radiology, The Puyang City Oilfield General Hospital, Puyang, Henan, China.

[7 ] GE Healthcare, Shanghai, China.

Article

DOI: 10.1002/jmri.27111

PubMed ID: 32112598

SO-VID: 5d9ed19a-c4e3-462d-8c5c-82b7f618f5f8

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Keywords: diagnosis,differential,magnetic resonance imaging,soft tissue neoplasms

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Keywords: diagnosis, differential, magnetic resonance imaging, soft tissue neoplasms

Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.

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