title: Evaluation of Automated Volumetric Cartilage Quantification for Hip Preservation Surgery.
abstract: Automating the process of femoroacetabular cartilage identification from magnetic resonance imaging (MRI) images has important implications to guiding clinical care by providing a temporal metric that allows for optimizing the timing for joint preservation surgery. In this paper, we evaluate a new automated cartilage segmentation method using a time trial, segmented volume comparison, overlap metrics, and Euclidean distance mapping. We report interrater overlap metrics using the true fast imaging with steady-state precession MRI sequence of 0.874, 0.546, and 0.704 for the total overlap, union overlap, and mean overlap, respectively. This method was 3.28× faster than manual segmentation. This technique provides clinicians with volumetric cartilage information that is useful for optimizing the timing for joint preservation procedures.
authors.affiliation: Department of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York.
authors.forename: Austin J
authors.initials: AJ
authors.lastname: Ramme
authors.affiliation: Department of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York.
authors.forename: Michael S
authors.initials: MS
authors.lastname: Guss
authors.affiliation: Department of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York.
authors.forename: Shaleen
authors.initials: S
authors.lastname: Vira
authors.affiliation: Department of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York.
authors.forename: Jonathan M
authors.initials: JM
authors.lastname: Vigdorchik
authors.affiliation: Methodpark Engineering GmbH, Erlangen, Germany; Chair of Medical Informatics, Friedrich-Alexander University, Erlangen-Nuremberg, Erlangen, Germany.
authors.forename: Axel
authors.initials: A
authors.lastname: Newe
authors.affiliation: Siemens Healthcare GmbH, Erlangen, Germany.
authors.forename: Esther
authors.initials: E
authors.lastname: Raithel
authors.affiliation: Department of Radiology, Center for Musculoskeletal Care, NYU Langone Medical Center, New York, New York.
authors.forename: Gregory
authors.initials: G
authors.lastname: Chang
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001331:Automation; D002358:Cartilage, Articular / Q000473:pathology / Q000601:surgery*; D005189:False Positive Reactions; D005260:Female; D006615:Hip / Q000601:surgery*; D006621:Hip Joint / Q000601:surgery; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results
keywords: automated segmentation; cartilage evaluation; interrater; magnetic resonance imaging; variability