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Evaluating Pelvic Tilt Using the Pelvic Antero-Posterior Projection Images: A Systematic Review.
Chai, Yuan; Boudali, A Mounir; Khadra, Sam; Dasgupta, Amrita; Maes, Vincent; Walter, William L.
Afiliación
  • Chai Y; Sydney Musculoskeletal Health and The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health and the Northern Sydney Local Health District, The University of Sydney, Sydney, New South Wales, Australia.
  • Boudali AM; Sydney Musculoskeletal Health and The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health and the Northern Sydney Local Health District, The University of Sydney, Sydney, New South Wales, Australia.
  • Khadra S; Faculty of Medicine and Health, Central Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
  • Dasgupta A; Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia; Department of General Surgery, Tan Tock Seng Hospital, Singapore.
  • Maes V; Department of Orthopaedics and Traumatic Surgery, Royal North Shore Hospital, St. Leonards, New South Wales, Australia; Department of Orthopaedic Surgery, University Hospitals Leuven, Leuven, Belgium.
  • Walter WL; Sydney Musculoskeletal Health and The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health and the Northern Sydney Local Health District, The University of Sydney, Sydney, New South Wales, Australia; Department of Orthopaedics and Traumatic Surgery, Royal North Shore Hospital,
J Arthroplasty ; 39(4): 1108-1116.e2, 2024 Apr.
Article en En | MEDLINE | ID: mdl-37871860
ABSTRACT

BACKGROUND:

Pelvic tilt (PT) is a routinely evaluated parameter in hip and spine surgeries, and is usually measured on a sagittal pelvic radiograph. This may not always be feasible due to limitations such as landmark visibility, pelvic anomaly, and hardware presence. Tremendous efforts have been dedicated to using pelvic antero-posterior (AP) radiographs for assessing sagittal PT. Thus, this systematic review aimed to collect these methods and evaluate their performances.

METHODS:

Two independent reviewers searched the PubMed, Ovid, Cochrane, and Web of Science databases in June 2023 with backward reference trailing (Google Scholar archive). There were 30 studies recruited. Risk of bias was assessed using the prediction model risk of bias assessment tool. The relevant data were tabulated in a standardized form for evaluating either the absolute PT or relative PT. Disagreement was resolved by discussing with the senior author.

RESULTS:

There were 19 parameters from pelvic AP projection images involved, with 4 studies which used artificial intelligence, eyeball, or statistical shape method not involving a specific parameter. In comparing the PT values from pelvic sagittal images with those extrapolated from antero-posterior projection images, the highest correlation coefficient was found to be 0.91. The mean absolute difference (error) was 2.6°, with a maximum error reaching 10.9°. Most studies supported the feasibility of using AP parameters to calculate changes in PT.

CONCLUSIONS:

No individual AP parameter was found to precisely estimate absolute PT. However, relative PT can be derived by evaluating serial AP radiographs of a patient in varying postures, employing any AP parameters.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pelvis / Inteligencia Artificial Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: J Arthroplasty Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pelvis / Inteligencia Artificial Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: J Arthroplasty Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: Australia
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