Introduction: Current indications for pulmonary valve replacement (PVR) in repaired tetralogy of Fallot (rTOF) rely on global ventricular measurements but are inconsistently applied, lead to mixed outcomes, and are widely debated. Hypothesis: We aimed to test the hypothesis that specific regional markers of biventricular shape can discriminate differences in ventricular remodeling between rTOF patients that were and were not designated for follow-up PVR better than standard clinical indices. Methods: In this cross-sectional retrospective study, biventricular shape models were fit to CMR images from 84 rTOF patients. A statistical atlas of end-diastolic shape was constructed using principal component analysis. Multivariate regression was used to quantify shape marker and clinical index associations with subsequent intervention status (PVR, n=48 vs. No-PVR, n=36) while accounting for confounders. Clustering analysis was then used to test the ability of statistically significant shape markers and clinical indices to discriminate PVR status as evaluated by Matthews correlation coefficient (MCC). Geometric strain analysis was also conducted to assess shape marker associations with systolic function. Results: PVR status correlated with shape markers associated with RV apical dilation and LV dilation (p<0.001), RV basal bulging and LV conicity (p<0.02), and pulmonary valve dilation (p<0.002). PVR status also correlated with RV EF (p<0.03) and non-significantly correlated with LV ESVi (p<0.06). Clustering analysis revealed that shape markers discriminated PVR status better than clinical indices (MCC=0.49 and MCC=0.28, respectively). These shape markers were also significantly associated with RV and LV radial strain. Conclusions: Biventricular shape markers discriminated PVR status better than standard and current use clinical indices for PVR. These specific, regional features of cardiac morphology can provide mechanistic insight into adaptive vs. maladaptive types of ventricular remodeling that provide the foundation for clinical decision-making but may be overlooked when relying solely on global ventricular measurements.