Keywords: Skeletal, Skeletal
Motivation: It is common for patients with primary tumors to find abnormal signals in the spine, which may be initially reported as “metastases cannot be rule out”. For these cases, differential diagnosis has a significant impact on patient staging and management, which may result in misdiagnosis or additional imaging, ultimately biopsy, and unnecessary costs.
Goal(s): To investigate chemical shift-encoded sequence (IDEAL-IQ) for differential diagnosis of spinal tumors.
Approach: Single-center prospective study.
Results: This work highlights the benefits of adding proton density fat fraction (PDFF) maps yield from IDEAL-IQ to improve diagnostic accuracy of spinal metastases and hemangiomas without contrast agents.
Impact: IDEAL-IQ provides reliable quantification of spinal tumor bone marrow infiltration pattern in clinical settings, which is comparable to the quantitative parameters of DCE-MRI. It may be a valuable tool for providing information for early differential diagnosis in a non-invasive way.
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