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Abstract #2274

Dffusion tensor imaging of the physis and metaphisys as predictor of child growth

Diego M Jaramillo1, Phuong M Duong1, Jie C Nguyen2, Sogol Mostoufi-Moab2, Michael K Nguyen2, Andrew Moreau2, Christian A Barrera3, Shijie Hong2, and Jose M Raya4
1Columbia University Medical Center, New York, NY, United States, 2Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 3Massachusetts General Hospital, Boston, MA, United States, 4New York University, New York, NY, United States

Prediction of growth potential in the pediatric population is critical to trace therapies targeting growth deficiencies and to inform surgical planning. Clinical models to predict growth potential are very inaccurate. We aim to validate DTI of the physis and metaphysis (DTI-P/M) as a prediction biomarker of growth potential in children. We compared in a cohort of 90 children the prediction accuracy of DTI-P/M and clinical models. Our data showed that DTI-P/M predicted growth potential more accurately than clinical models (over 40% reduction in error). Even more importantly, compared to clinical models DTI-MP predictions did not show any prediction bias.

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