Literature DB >> 35219883

Novel cross LSTM for predicting the changes of complementary pelvic angles between standing and sitting.

Yuanbo He1, Minwei Zhao2, Tianfan Xu3, Shuai Li1, Hua Tian4, Weishi Li4.   

Abstract

Sagittal spino-pelvic balance has been increasingly emphasized in hip surgery. The conversion between standing and sitting, characterized by complementary pelvic angles (pelvic tilt, pt and sacral slope, ss), involves a congruent sagittal spino-pelvic relationship. Hence, the changes of complementary pelvic angles pt, ss between standing and sitting could reflect the mechanism of sagittal spino-pelvic balance, and should be analyzed in evidence-based hip surgery planning. To this end, we propose a novel cross LSTM (C-LSTM) framework embedding the conversion between standing and sitting by cross-mapping, to predict the changes of complementary pelvic pt, ss between standing and sitting. Furthermore, to introduce the prior knowledge of the invariance of pelvic incidence, pi, two dual C-LSTMs are integrated to construct a much more powerful Fused C-LSTM. We have conducted extensive experiments on the sagittal standing-sitting dataset for the comprehensive evaluation of the proposed framework. Even in a small samples, Fused C-LSTM can achieve low prediction errors and high correlation between predicted and actual values. Notably, just based on static standing or sitting X-ray, Fused C-LSTM can obtain the change of complementary pt, ss between standing and sitting to assist in formulating a surgical hip plan that conforms to the sagittal spino-pelvic balance.
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cross LSTM; Cross-conversion; Cross-mapping; Fused Cross LSTM; Sagittal Spino-Pelvic Balance

Mesh:

Year:  2022        PMID: 35219883     DOI: 10.1016/j.jbi.2022.104036

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   8.000


  1 in total

1.  An artificial neural network model based on standing lateral radiographs for predicting sitting pelvic tilt in healthy adults.

Authors:  Minwei Zhao; Yuanbo He; Shuai Li; Huizhu Chen; Weishi Li; Hua Tian
Journal:  Front Surg       Date:  2022-09-14
  1 in total

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