Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT

Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT

To develop a deep learning algorithm for diagnosing lumbar central canal stenosis (LCCS) using abdominal CT (ACT) and lumbar spine CT (LCT). This retrospective study involved 109 patients undergoing LCTs and ACTs between January 2014 and July 2021. The dural sac on CT images was manually segmented a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Skeletal radiology 2024-09
Hauptverfasser: Jeon, Yejin, Kim, Bo Ram, Choi, Hyoung In, Lee, Eugene, Kim, Da-Wit, Choi, Boorym, Lee, Joon Woo
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:To develop a deep learning algorithm for diagnosing lumbar central canal stenosis (LCCS) using abdominal CT (ACT) and lumbar spine CT (LCT). This retrospective study involved 109 patients undergoing LCTs and ACTs between January 2014 and July 2021. The dural sac on CT images was manually segmented and classified as normal or stenosed (dural sac cross-sectional area ≥ 100 mm or 
ISSN:0364-2348
1432-2161
1432-2161
DOI:10.1007/s00256-024-04796-z