reproducibility of pelvic sagittal inclination while acquiring radiographs in supine and standing postures

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ID: 231282
2019
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Abstract
Purpose: Pelvic position on the sagittal plane is usually evaluated with the pelvic sagittal inclination (PSI) angle from a single radiograph. However, the reproducibility of pelvic positioning has not been investigated, and thus, the validity of measuring the PSI from a single film/time point is not understood. Herein, the reproducibility of a patient’s pelvic positions in supine and standing postures was analyzed. Methods: A total of 34 patients who underwent either a pelvic osteotomy or total hip arthroplasty were enrolled in this study. Preoperative radiographs in both supine and standing postures were acquired twice (first X-ray and second X-ray) within 6 months; preoperative computed tomography (CT) images of the full pelvis were also acquired in a supine posture (preop-CT). To eliminate measurement variability, each PSI was automatically measured from radiographs and CT images through the use of CT segmentation and landmark localization followed by intensity-based 2D-3D registration. The absolute difference of PSI among each image was calculated and the intra-class correlation coefficient (ICC) in each posture was also analyzed. Results: The median absolute differences of PSI in the supine posture were 1.3° between the first and second X-rays, 1.2° between the first X-ray and preop-CT, and 1.3° between the second X-ray and preop-CT. The median absolute difference of PSI in the standing posture was 1.5°. The ICC was 0.965 (95% CI: 0.939–0.981) in supine and 0.977 (95% CI: 0.954–0.988) during standing. Conclusions: Pelvic positions in supine and standing postures are reproducible. Thus, measuring the PSI from a single radiograph is reliable.
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uemura2019journalreproducibility Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Keisuke Uemura;Masaki Takao;Yoshito Otake;Koki Koyama;Futoshi Yokota;Hidetoshi Hamada;Takashi Sakai;Yoshinobu Sato;Nobuhiko Sugano
Journal journal of the marine biological association of the united kingdom
Year 2019
DOI
10.1177/2309499019828515
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