Machine learning and magnetic resonance imaging: Differentiating benign from malignant osseous tumors

被引：0

作者：

Emil, N. Suzanne ^{[1
]}

Sibbitt, Randy R. R. ^{[2
]}

Sibbitt Jr, Wilmer L. L. ^{[1
]}

机构：

[1] Univ New Mexico, Dept Internal Med, Div Rheumatol, Hlth Sci Ctr, 10 5550, 5th Floor Acc, Albuquerque, NM 87131 USA

[2] Benefis Helena Imaging, Dept Radiol, Helena, MT USA

来源：

JOURNAL OF CLINICAL ULTRASOUND | 2023年 / 51卷 / 06期

关键词：

bone; chondrosarcoma; enchondroma; radiomics; tumor; CHONDROSARCOMA;

D O I：

10.1002/jcu.23470

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Radiomics and machine learning applied to the isolated cartilaginous bone lesion on magnetic resonance imaging (MRI) is increasingly useful to distinguish malignant versus benign bone lesions, to determine whether repetitive imaging over time, to determine dynamic expansion, or immediate excisional biopsy are indicated.

引用

页码：1036 / 1038

页数：3

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