European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
Use of machine learning predictive models in sagittal alignment planning in adolescent idiopathic scoliosis surgery.
СтатьяНазвание и аннотация: Перевод в очереди
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Ngo John, Athreya Kiran, Ehrlich Brandon, Sayrs Lois, Morphew Tricia, Halvorson Steven, Aminian Afshin
Аннотация
OBJECTIVE: Previous research has shown that predictive models can optimize surgical planning. This study investigates whether predictive models can be used to accurately predict compensatory changes in sagittal spinopelvic parameters after all-posterior spinal fusion (PSF) in patients with adolescent idiopathic scoliosis (AIS).
STUDY DESIGN: Retrospective analysis of medical records was performed to identify pediatric patients with Lenke class 1-4 AIS who underwent PSF with implantation of patient-specific rods (PSR) during the period from July 2018 to December 2020. All included patients (n = 34) were followed for at least two years.
METHODS: Surgical strategies were simulated on preoperative radiographs to achieve desired thoracic kyphosis (TK) for sagittal planning. Previously validated predictive models were used to predict postoperative lumbar lordosis (LL) and pelvic tilt (PT). Pre-contoured patient specific titanium rods were utilized during corrective surgery. Standard radiographic measurements were obtained preoperatively, along with one and two years postoperatively.
RESULTS: At 2-year follow-up, in the overall cohort, median TK gain was 9.3° vs. preoperative [IQR: -1.9, 20.5] (p = .003) and 4.9° vs. planned [- 1.6, 10.8] (p < .001). Median differences of postoperative vs. predicted in LL and PT were - 3.8° [IQR: - 10.4, 1.4] (p = .006) and - 0.1° [IQR: - 3.7, 3.3] (p = .555), respectively. At 2-year follow-up in the hypokyphotic subgroup (TK < 20°) (n = 12), median TK gain was 22.4° vs. preoperative [IQR: 15.6, 21.2] (p = .002) and 2.1° vs. planned [IQR: - 2.1, 8.1] (p = .239). Median differences of postoperative vs. predicted in LL and PT were - 3.4 [- 9.7, 0.4] (p = .083) and 0.5 [IQR: - 2.0, 2.7] (p = .262), respectively.
CONCLUSION: The predictive models accurately predicted compensatory changes in the spinopelvic parameters of unfused segments after AIS surgery in the hypokyphotic subset of patients up to two years post op, and up to one year post-operatively in our entire cohort.
STUDY DESIGN: Retrospective analysis of medical records was performed to identify pediatric patients with Lenke class 1-4 AIS who underwent PSF with implantation of patient-specific rods (PSR) during the period from July 2018 to December 2020. All included patients (n = 34) were followed for at least two years.
METHODS: Surgical strategies were simulated on preoperative radiographs to achieve desired thoracic kyphosis (TK) for sagittal planning. Previously validated predictive models were used to predict postoperative lumbar lordosis (LL) and pelvic tilt (PT). Pre-contoured patient specific titanium rods were utilized during corrective surgery. Standard radiographic measurements were obtained preoperatively, along with one and two years postoperatively.
RESULTS: At 2-year follow-up, in the overall cohort, median TK gain was 9.3° vs. preoperative [IQR: -1.9, 20.5] (p = .003) and 4.9° vs. planned [- 1.6, 10.8] (p < .001). Median differences of postoperative vs. predicted in LL and PT were - 3.8° [IQR: - 10.4, 1.4] (p = .006) and - 0.1° [IQR: - 3.7, 3.3] (p = .555), respectively. At 2-year follow-up in the hypokyphotic subgroup (TK < 20°) (n = 12), median TK gain was 22.4° vs. preoperative [IQR: 15.6, 21.2] (p = .002) and 2.1° vs. planned [IQR: - 2.1, 8.1] (p = .239). Median differences of postoperative vs. predicted in LL and PT were - 3.4 [- 9.7, 0.4] (p = .083) and 0.5 [IQR: - 2.0, 2.7] (p = .262), respectively.
CONCLUSION: The predictive models accurately predicted compensatory changes in the spinopelvic parameters of unfused segments after AIS surgery in the hypokyphotic subset of patients up to two years post op, and up to one year post-operatively in our entire cohort.