OBJECTIVE: To assess the clinical value of three-dimensional (3D) printing technology for treatment strategies for complex double outlet right ventricle (DORV). METHODS: Twenty-five patients with complex double outlet right ventricle were enrolled in this study. The patients were divided into two groups: 3D printing group (eight patients) and a non-3-D printing control group (17 patients). The cardiac images of patients in the 3D printing group were transformed to Digital Imaging and Communications and were segmented and reconstructed to create a heart model. No cardiac models were created in the control group. A Pearson coefficient analysis was used to assess the correlation between measurements of 3D printed models and computed tomography angiography (CTA) data. Pre-operative assessment and planning were performed with 3D printed models, and then operative time and recovery time were compared between the two groups. RESULTS: There was good correlation (r = 0.977) between 3D printed models and CTA data. Patients in the 3D printing group had shorter aortic cross-clamp time (102.88 vs 127.76 min, P = 0.094) and cardiopulmonary bypass time (151.63 vs 184.24 min; P = 0.152) than patients in the control group. Patients with 3D printed models had significantly lower mechanical ventilation time (56.43 vs 96.76 h, P = 0.040) and significantly shorter intensive care unit time (99.04 vs 166.94 h, P = 0.008) than patients in the control group. CONCLUSIONS: 3D printed models can accurately demonstrate anatomic structures and are useful for pre-operative treatment strategies in DORV.
OBJECTIVE: To assess the clinical value of three-dimensional (3D) printing technology for treatment strategies for complex double outlet right ventricle (DORV). METHODS: Twenty-five patients with complex double outlet right ventricle were enrolled in this study. The patients were divided into two groups: 3D printing group (eight patients) and a non-3-D printing control group (17 patients). The cardiac images of patients in the 3D printing group were transformed to Digital Imaging and Communications and were segmented and reconstructed to create a heart model. No cardiac models were created in the control group. A Pearson coefficient analysis was used to assess the correlation between measurements of 3D printed models and computed tomography angiography (CTA) data. Pre-operative assessment and planning were performed with 3D printed models, and then operative time and recovery time were compared between the two groups. RESULTS: There was good correlation (r = 0.977) between 3D printed models and CTA data. Patients in the 3D printing group had shorter aortic cross-clamp time (102.88 vs 127.76 min, P = 0.094) and cardiopulmonary bypass time (151.63 vs 184.24 min; P = 0.152) than patients in the control group. Patients with 3D printed models had significantly lower mechanical ventilation time (56.43 vs 96.76 h, P = 0.040) and significantly shorter intensive care unit time (99.04 vs 166.94 h, P = 0.008) than patients in the control group. CONCLUSIONS: 3D printed models can accurately demonstrate anatomic structures and are useful for pre-operative treatment strategies in DORV.
Authors: Andrew I U Shearn; Michael Yeong; Michael Richard; Maria Victoria Ordoñez; Henry Pinchbeck; Elena G Milano; Alison Hayes; Massimo Caputo; Giovanni Biglino Journal: Front Pediatr Date: 2019-08-20 Impact factor: 3.418
Authors: Pia Gehrsitz; Oliver Rompel; Martin Schöber; Robert Cesnjevar; Ariawan Purbojo; Michael Uder; Sven Dittrich; Muhannad Alkassar Journal: Front Cardiovasc Med Date: 2021-02-09
Authors: Marcos Aurélio Barboza de Oliveira; Carlos Alberto Dos Santos; Antônio Carlos Brandi; Paulo Henrique Husseini Botelho; Domingo Marcolino Braile Journal: Braz J Cardiovasc Surg Date: 2020-08-01