MINI: Surgical planning in sagittal imbalance is recognized as a key step of treatment to ensure good clinical results. Surgimap is a reliable tool to predict satisfactory postoperative sagittal alignment. Setting by default pelvic tilt to 20° improves predictive value during surgical planning. STUDY DESIGN: A cohort study. OBJECTIVE: To evaluate the predictive value of surgical planning using Surgimap regarding postoperative sagittal alignment. SUMMARY OF BACKGROUND DATA: Surgical planning in sagittal imbalance is recognized as a key step of treatment to ensure results. METHODS: The study involved 40 nonconsecutive patients who underwent surgery for sagittal misalignment. Postoperative alignment measured by sagittal vertical axis (SVA) and pelvic tilt was considered the gold standard. Surgimap prediction of final alignment was considered the test. Planning and postoperative films were classified as properly and improperly aligned. Sensitivity, specificity, and positive and negative predictive values of Surgimap planning [using two different methods: direct simulation (method A) and simulation after correction of pelvic tilt to 20° (method B)] to detect postoperative improper alignment were calculated. RESULTS: Seventeen (42.5%) of 40 patients had proper postoperative alignment. According to method A, a proper alignment was achieved in 13 patients [S = 76.5%, Sp = 73.9%, RR = 2.93 (95% confidence interval, CI 1.40; 6.12), P < 0.001]; According to method B, a proper alignment was achieved in 15 patients [S = 88.2%, Sp = 60.9%, RR = 2.25 (95% CI 1.32; 23.86), P < 0.001]. Kappa statistics indicate moderate agreement between actual postoperative alignment and computer prediction. CONCLUSION: The ability of Surgimap to predict proper postoperative sagittal alignment was excellent in this cohort. Its ability to predict proper alignment was improved by correction of pelvic tilt to 20° during planning. LEVEL OF EVIDENCE: 2.
MINI: Surgical planning in sagittal imbalance is recognized as a key step of treatment to ensure good clinical results. Surgimap is a reliable tool to predict satisfactory postoperative sagittal alignment. Setting by default pelvic tilt to 20° improves predictive value during surgical planning. STUDY DESIGN: A cohort study. OBJECTIVE: To evaluate the predictive value of surgical planning using Surgimap regarding postoperative sagittal alignment. SUMMARY OF BACKGROUND DATA: Surgical planning in sagittal imbalance is recognized as a key step of treatment to ensure results. METHODS: The study involved 40 nonconsecutive patients who underwent surgery for sagittal misalignment. Postoperative alignment measured by sagittal vertical axis (SVA) and pelvic tilt was considered the gold standard. Surgimap prediction of final alignment was considered the test. Planning and postoperative films were classified as properly and improperly aligned. Sensitivity, specificity, and positive and negative predictive values of Surgimap planning [using two different methods: direct simulation (method A) and simulation after correction of pelvic tilt to 20° (method B)] to detect postoperative improper alignment were calculated. RESULTS: Seventeen (42.5%) of 40 patients had proper postoperative alignment. According to method A, a proper alignment was achieved in 13 patients [S = 76.5%, Sp = 73.9%, RR = 2.93 (95% confidence interval, CI 1.40; 6.12), P < 0.001]; According to method B, a proper alignment was achieved in 15 patients [S = 88.2%, Sp = 60.9%, RR = 2.25 (95% CI 1.32; 23.86), P < 0.001]. Kappa statistics indicate moderate agreement between actual postoperative alignment and computer prediction. CONCLUSION: The ability of Surgimap to predict proper postoperative sagittal alignment was excellent in this cohort. Its ability to predict proper alignment was improved by correction of pelvic tilt to 20° during planning. LEVEL OF EVIDENCE: 2.
Authors: Andrea Redaelli; Francesco Langella; Michal Dziubak; Riccardo Cecchinato; Marco Damilano; Giuseppe Peretti; Pedro Berjano; Claudio Lamartina Journal: Eur Spine J Date: 2020-01-06 Impact factor: 3.134
Authors: Francesco Langella; Alberto Balestrino; Marco Damilano; Riccardo Cecchinato; Zeno Biber; Marco Paoletta; Giovanni Iolascon; Claudio Lamartina; Giuseppe M Peretti; Pedro Berjano Journal: Arch Osteoporos Date: 2021-07-08 Impact factor: 2.617