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Rudisill SS, Hornung AL, Barajas JN, Bridge JJ, Mallow GM, Lopez W, Sayari AJ, Louie PK, Harada GK, Tao Y, Wilke HJ, Colman MW, Phillips FM, An HS, Samartzis D. Answer to the letter to the editor by Zhi-Hui Dai concerning "Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion" by Rudisill SS et al. (Eur Spine J [2022]; doi: 10.1007/s00586-022-07238-3). Eur Spine J 2022; 31:3161-3162. [PMID: 36028590 DOI: 10.1007/s00586-022-07357-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Samuel S Rudisill
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Alexander L Hornung
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - J Nicolás Barajas
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Jack J Bridge
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- Department of Data Science and Analytics, University of Missouri, Colombia, MO, USA
| | - G Michael Mallow
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Wylie Lopez
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Arash J Sayari
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Philip K Louie
- Neuroscience Institute, Virginia Mason Medical Center, Seattle, WA, USA
| | - Garrett K Harada
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Youping Tao
- Institute of Orthopaedic Research and Biomechanics, Ulm University Medical Centre, Ulm, Germany
| | - Hans-Joachim Wilke
- Institute of Orthopaedic Research and Biomechanics, Ulm University Medical Centre, Ulm, Germany
| | - Matthew W Colman
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Frank M Phillips
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Howard S An
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Dino Samartzis
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60642, USA.
- International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA.
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Rudisill SS, Hornung AL, Barajas JN, Bridge JJ, Mallow GM, Lopez W, Sayari AJ, Louie PK, Harada GK, Tao Y, Wilke HJ, Colman MW, Phillips FM, An HS, Samartzis D. Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion. Eur Spine J 2022; 31:2104-2114. [PMID: 35543762 DOI: 10.1007/s00586-022-07238-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/12/2022] [Accepted: 04/17/2022] [Indexed: 01/20/2023]
Abstract
PURPOSE Anterior cervical discectomy and fusion (ACDF) is a common surgical treatment for degenerative disease in the cervical spine. However, resultant biomechanical alterations may predispose to early-onset adjacent segment degeneration (EO-ASD), which may become symptomatic and require reoperation. This study aimed to develop and validate a machine learning (ML) model to predict EO-ASD following ACDF. METHODS Retrospective review of prospectively collected data of patients undergoing ACDF at a quaternary referral medical center was performed. Patients > 18 years of age with > 6 months of follow-up and complete pre- and postoperative X-ray and MRI imaging were included. An ML-based algorithm was developed to predict EO-ASD based on preoperative demographic, clinical, and radiographic parameters, and model performance was evaluated according to discrimination and overall performance. RESULTS In total, 366 ACDF patients were included (50.8% male, mean age 51.4 ± 11.1 years). Over 18.7 ± 20.9 months of follow-up, 97 (26.5%) patients developed EO-ASD. The model demonstrated good discrimination and overall performance according to precision (EO-ASD: 0.70, non-ASD: 0.88), recall (EO-ASD: 0.73, non-ASD: 0.87), accuracy (0.82), F1-score (0.79), Brier score (0.203), and AUC (0.794), with C4/C5 posterior disc bulge, C4/C5 anterior disc bulge, C6 posterior superior osteophyte, presence of osteophytes, and C6/C7 anterior disc bulge identified as the most important predictive features. CONCLUSIONS Through an ML approach, the model identified risk factors and predicted development of EO-ASD following ACDF with good discrimination and overall performance. By addressing the shortcomings of traditional statistics, ML techniques can support discovery, clinical decision-making, and precision-based spine care.
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Affiliation(s)
- Samuel S Rudisill
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Alexander L Hornung
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - J Nicolás Barajas
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Jack J Bridge
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,Department of Data Science and Analytics, University of Missouri, Colombia, MO, USA
| | - G Michael Mallow
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Wylie Lopez
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Arash J Sayari
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Philip K Louie
- Virginia Mason Medical Center, Neuroscience Institute, Seattle, WA, USA
| | - Garrett K Harada
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Youping Tao
- Institute of Orthopaedic Research and Biomechanics, Ulm University Medical Centre, Ulm, Germany
| | - Hans-Joachim Wilke
- Institute of Orthopaedic Research and Biomechanics, Ulm University Medical Centre, Ulm, Germany
| | - Matthew W Colman
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Frank M Phillips
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Howard S An
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA.,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA
| | - Dino Samartzis
- Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, USA. .,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA.
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