AI Article Synopsis
- - The study aims to evaluate an artificial intelligence (AI) system designed to accurately measure Cobb angles and classify scoliosis in adolescent idiopathic scoliosis (AIS) patients, highlighting its potential to improve clinical management.
- - The AI system uses convolutional neural networks to quickly and accurately identify vertebral boundaries and measure angles, completing tasks in just 0.2 seconds compared to an average of 23.6 minutes for human surgeons.
- - Results show that the AI system has a high reliability for classifying scoliosis, with a strong correlation to senior surgeons' measurements, suggesting it could serve as a valuable tool in spinal surgery.
Article Abstract
Objective: The accurate measurement of Cobb angles is crucial for the effective clinical management of patients with adolescent idiopathic scoliosis (AIS). The Lenke classification system plays a pivotal role in determining the appropriate fusion levels for treatment planning. However, the presence of interobserver variability and time-intensive procedures presents challenges for clinicians. The purpose of this study is to compare the measurement accuracy of our developed artificial intelligence measurement system for Cobb angles and Lenke classification in AIS patients with manual measurements to validate its feasibility.
Methods: An artificial intelligence (AI) system measured the Cobb angle of AIS patients using convolutional neural networks, which identified the vertebral boundaries and sequences, recognized the upper and lower end vertebras, and estimated the Cobb angles of the proximal thoracic, main thoracic, and thoracolumbar/lumbar curves sequentially. Accordingly, the Lenke classifications of scoliosis were divided by oscillogram and defined by the AI system. Furthermore, a man-machine comparison (n = 300) was conducted for senior spine surgeons (n = 2), junior spine surgeons (n = 2), and the AI system for the image measurements of proximal thoracic (PT), main thoracic (MT), thoracolumbar/lumbar (TL/L), thoracic sagittal profile T5-T12, bending views PT, bending views MT, bending views TL/L, the Lenke classification system, the lumbar modifier, and sagittal thoracic alignment.
Results: In the AI system, the calculation time for each patient's data was 0.2 s, while the measurement time for each surgeon was 23.6 min. The AI system showed high accuracy in the recognition of the Lenke classification and had high reliability compared to senior doctors (ICC 0.962).
Conclusion: The AI system has high reliability for the Lenke classification and is a potential auxiliary tool for spinal surgeons.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11293916 | PMC |
| http://dx.doi.org/10.1111/os.14144 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.
Sci Rep
January 2025
Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China.
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customization. Our study aims to devise proper deep learning (DL) models that incorporate key factors influencing surgical outcomes on the coronal plane in AIS patients to facilitate surgical decision-making and predict surgical results for AIS patients.
View Article and Find Full Text PDFOutcomes of Single-Sided Thoracic vs. Bilateral Thoracic and Lumbar Anterior Vertebral Body Tethering in Lenke 1 Curves with Lumbar C Modifier.
Spine (Phila Pa 1976)
January 2025
Shriners Children's Philadelphia, Philadelphia, PA.
Study Design: Retrospective review of a prospectively collected single-center adolescent idiopathic scoliosis (AIS) database.
Objective: To evaluate the outcomes of single-sided thoracic anterior vertebral body tethering (VBT) versus bilateral thoracic/thoracolumbar VBT for the treatment of Lenke 1C type curves, as well as the outcomes of Lenke 1A/B curves compared to 1C curves.
Background: Lenke 1C curves can be successfully treated with selective thoracic fusion alone.
2D and 3D Classification Systems for Adolescent Idiopathic Scoliosis: Clinical Implications and Technological Advances.
Orthop Surg
January 2025
Spine Surgery Center, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Classification systems for Adolescent Idiopathic Scoliosis (AIS) play an important role in guiding both surgical planning and conservative treatments. Traditional 2D classification systems, such as the Lenke, King and Lehnert-Schroth classifications, have been widely used for the clinical diagnosis and treatment of scoliosis. However, with the growing understanding of the three-dimensional nature of scoliosis and advancements in 3D reconstruction technologies, 3D classification systems are gaining increasing attention.
View Article and Find Full Text PDFThree-dimensional printed models improve orthopedic residents' understanding of adolescent idiopathic scoliosis.
BMC Med Educ
January 2025
Department of Spine Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Adolescent idiopathic scoliosis, a complex three-dimensional spine deformity, presents a formidable challenge for orthopedic residents in understanding its anatomy and surgical strategies. The aim of this study is to investigate the impact of three-dimensional printing (3DP) models in enhancing the comprehension of adolescent idiopathic scoliosis among orthopedic residents.
Methods: Forty orthopedic residents were randomly divided into two groups, the first group received lectures that were augmented with 3DP models illustrating five cases of adolescent idiopathic scoliosis, along with corresponding X-ray and CT images.
Correction of L5 Tilt in 2-Row Vertebral Body Tethering Versus Posterior Spinal Fusion for Adolescent Idiopathic Scoliosis.
Clin Spine Surg
October 2024
Department of Orthopaedics, NYU Langone Orthopedic Hospital, New York, NY.
Study Design: Single-center retrospective cohort study.
Objective: To compare the correction of fractional curve and L5 tilt in 2RVBT versus PSF with LIV in the lumbar spine.
Summary Of Background Data: Vertebral body tethering, an AIS fusion-alternative, avoids rigid constructs, allowing for lower instrumented vertebra (LIV) selection.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!