ArticleJournal of bone oncology2025
Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors.
Article in Journal of bone oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Background: Risk stratification of spinal tumors is a major unmet clinical need for personalized therapy. Purpose: To explore the feasibility of pretreatment whole-lesion apparent diffusion coefficient (ADC) histogram in predicting local recurrence of aggressive spinal tumors. Methods: 119 aggressive spinal tumor patients (median age, 40; range, 13-74 years) confirmed by pathological findings with a mean follow-up of 36 months were enrolled and divided into the recurrence and non-recurrence group. The histogram metrics of whole-lesion, including the maximum, mean, kurtosis, skewness, entropy, and percentiles (10th, 25th, 50th, 75th, 95th) ADC values, were evaluated and take the average. Fractal dimension (FD) was assessed in the three orthogonal directions and take maximum. Clinical and general imaging features were used to construct an alternative prognostic model for comparison. Variables with statistical differences would be included in stepwise logistic regression analysis. Results: As for the clinical model, Enneking staging (odds ratio [OR]: 3.572; Conclusion: Prediction models based on the ADC histogram analysis might represent serviceable instruments for the aggressive spinal tumors.
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