Keywords: Task/Intervention Based fMRI, Tumors
Motivation: Risk stratification of spinal tumors is a major unmet clinical need for personalized therapy.
Goal(s): To explore the feasibility of pretreatment whole-lesion apparent diffusion coefficient (ADC) histogram in predicting local recurrence of aggressive spinal tumors.
Approach: 119 aggressive spinal tumor patients (median age, 40; range, 13–74 years) confirmed by pathological findings were enrolled and divided into recurrence/non-recurrence group.
Results: As for the clinical model, Enneking staging and vertebral compression were independent predictors of recurrence. The ADC histogram model (AUC = 0.871) and the combined model (AUC = 0.884) performed better than the clinical prediction model (AUC = 0.704) with P-values <0.001.
Impact: Future individualized follow-up protocols may benefit from incorporating the ADC histogram prediction model, allowing for better selection of patients with aggressive primary spinal tumors for appropriate clinical interventions.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords