Development of Validated Computer-Based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK with 86% Accuracy based on 510 ASD Patients with 2-year Follow-up

Introduction Proximal Junction Failure (PJF) and Proximal Junction Kyphosis (PJK) are significant complications. It remains unclear what are the specific drivers behind the development of either. This study attempts to develop a preoperative predictive model to identify patients at risk to develop P...

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Ngā kaituhi matua:	Justin Scheer, Justin Smith, Frank Schwab, Virginie Lafage, Robert Hart, R. Shay Bess, Breton Line, Bassel Diebo, Themistocles Protopsaltis, Amit Jain, Tamir Ailon, Douglas Burton, Eric Klineberg, Christopher Ames
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	SAGE Publishing 2016-04-01
Rangatū:	Global Spine Journal
Urunga tuihono:	https://doi.org/10.1055/s-0036-1582961
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Development of Validated Computer-Based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK with 86% Accuracy based on 510 ASD Patients with 2-year Follow-up

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