Background Arrhythmogenic cardiomyopathy (AC) is a disease characterized by a progressive replacement of the ventricular myocardium by fibrofatty tissue. Due to the fact that the phenotipe of AC is heterogeneous, to diagnose AC a compendium of criteria have to be met. In this work, we assess left ventricular (LV) dyssynchrony obtained from cine MRIs in patients with AC with LV involvement (AC-LV) and apply a clustering method to analyse the discrimination power of dyssynchrony to detect AC-LV patients. We hypothesize that more than 50% of AC-LV patients present higher dyssynchrony than controls. Materials and methods 36 subjects diagnosed with AC-LV and 23 non-affected relatives who were non-carriers of the pathogenic mutation of the proband. AC-LV was diagnosed when definitive or borderline Task Force Criteria for AC were met plus typical patterns of LV involvement were identified. Strain parameters of the 16 AHA segments of the LV were obtained with Circle cvi42 from cine MRIs. Dyssynchronies were calculated as the standard deviation of the time to peak of radial, circumferential and longitudinal strain of the 16 segments. Ejection fraction (EF) was also obtained. The two step clustering method from SPSS was applied to the 3 dyssynchronies and the ejection fraction. Results The algorithm detected 2 clusters, C1 with 42 subjects and C2 with 17 subjects. Radial dyssynchrony (RD) was the most important predictor, followed by circumferential dyssynchrony (CD), ejection fraction and longitudinal dyssynchrony (LD). The mean values of each cluster were: RD (C1 = 48.53ms, C2 = 90.75ms), CD (C1 = 39.61ms, C2 = 62.83ms), EF (C1 = 56.79%, C2 = 40.71%) and LD (C1 = 45.34ms, C2 = 69.66ms). Conclusions The clustering analysis detected 17 subjects with increased dyssynchronies and decreased EF, which represent the 53% of our AC-LV sample. Radial dyssynchrony was the most affected value among AC-LV patients.