2018
DOI: 10.1007/s11547-018-0935-y
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Identification of the most significant magnetic resonance imaging (MRI) radiomic features in oncological patients with vertebral bone marrow metastatic disease: a feasibility study

Abstract: The results suggest that MRI-based radiomic analysis on oncological patients with bone marrow metastatic disease is able to differentiate between metastatic and non-metastatic vertebral bodies. The most significant predictors of metastasis were found to be based on T2 sequence and were one morphological and one textural feature.

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Cited by 43 publications
(29 citation statements)
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“…Thus, MRI-based radiomics may be a non-invasive imaging biomarker for differentiating cervical spine ORN from metastasis after RT. The results supported previous studies in which MRI-based radiomics could be applied to differentiate vertebral metastasis from benign lesions [25,34].…”
Section: Discussionsupporting
confidence: 90%
“…Thus, MRI-based radiomics may be a non-invasive imaging biomarker for differentiating cervical spine ORN from metastasis after RT. The results supported previous studies in which MRI-based radiomics could be applied to differentiate vertebral metastasis from benign lesions [25,34].…”
Section: Discussionsupporting
confidence: 90%
“…Thus, MRI-based radiomics may be a non-invasive imaging biomarker for differentiating cervical spine ORN from metastasis after RT. The results supported previous studies in which MRI-based radiomics could be applied to differentiate vertebral metastasis from benign lesions [25,34].…”
Section: Discussionsupporting
confidence: 90%
“…5 and 7). Integrated PET/MRI that can extract mineable PET and MR radiomic features, and subsequent radiomics approaches may enable the differentiation of mild/moderate AAs from hypo-MDS, as well as the prediction of progression to AML in the near future [20].…”
Section: Discussionmentioning
confidence: 99%