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Use of a machine learning algorithm with a focus on spinopelvic parameters to predict development of symptomatic tethered cord after initial untethering surgery.
Punchak, Maria A; Bond, Kamila M; Wathen, Connor A; Hollawell, Madison L; Zhao, Chao; Sarris, Christina; Flanders, Tracy M; Madsen, Peter J; Tucker, Alexander M; Heuer, Gregory G.
Afiliação
  • Punchak MA; 1Department of Neurosurgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania; and.
  • Bond KM; 1Department of Neurosurgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania; and.
  • Wathen CA; 1Department of Neurosurgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania; and.
  • Hollawell ML; 2Division of Neurosurgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Zhao C; 2Division of Neurosurgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Sarris C; 2Division of Neurosurgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Flanders TM; 1Department of Neurosurgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania; and.
  • Madsen PJ; 2Division of Neurosurgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Tucker AM; 1Department of Neurosurgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania; and.
  • Heuer GG; 2Division of Neurosurgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
J Neurosurg Pediatr ; 33(5): 405-410, 2024 May 01.
Article em En | MEDLINE | ID: mdl-38428005
ABSTRACT

OBJECTIVE:

Among patients with a history of prior lipomyelomeningocele repair, an association between increased lumbosacral angle (LSA) and cord retethering has been described. The authors sought to build a predictive algorithm to determine which complex tethered cord patients will develop the symptoms of spinal cord retethering after initial surgical repair with a focus on spinopelvic parameters.

METHODS:

An electronic medical record database was reviewed to identify patients with complex tethered cord (e.g., lipomyelomeningocele, lipomyeloschisis, myelocystocele) who underwent detethering before 12 months of age between January 1, 2008, and June 30, 2022. Descriptive statistics were used to characterize the patient population. The Caret package in R was used to develop a machine learning model that predicted symptom development by using spinopelvic parameters.

RESULTS:

A total of 72 patients were identified (28/72 [38.9%] were male). The most commonly observed dysraphism was lipomyelomeningocele (41/72 [56.9%]). The mean ± SD age at index MRI was 2.1 ± 2.2 months, at which time 87.5% of patients (63/72) were asymptomatic. The mean ± SD lumbar lordosis at the time of index MRI was 23.8° ± 11.1°, LSA was 36.5° ± 12.3°, sacral inclination was 30.4° ± 11.3°, and sacral slope was 23.0° ± 10.5°. Overall, 39.6% (25/63) of previously asymptomatic patients developed new symptoms during the mean ± SD follow-up period of 44.9 ± 47.2 months. In the recursive partitioning model, patients whose LSA increased at a rate ≥ 5.84°/year remained asymptomatic, whereas those with slower rates of LSA change experienced neurological decline (sensitivity 77.5%, specificity 84.9%, positive predictive value 88.9%, and negative predictive value 70.9%).

CONCLUSIONS:

This is the first study to build a machine learning algorithm to predict symptom development of spinal cord retethering after initial surgical repair. The authors found that, after initial surgery, patients who demonstrate a slower rate of LSA change per year may be at risk of developing neurological symptoms.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Meningomielocele / Aprendizado de Máquina / Defeitos do Tubo Neural Limite: Female / Humans / Infant / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Meningomielocele / Aprendizado de Máquina / Defeitos do Tubo Neural Limite: Female / Humans / Infant / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article