Detecting Early Signs of Idiopathic Scoliosis Deformity

Author: Hokkaido University
Published: 2016/11/21 - Updated: 2025/04/18
Publication Type: Product Release, Update
Topic: Back Pain Information - Publications List

Page Content: Synopsis - Introduction - Main - Insights, Updates

Synopsis: 3D symmetry recognition system detects early stages of idiopathic scoliosis, a curvature of the spine.

Why it matters: This article on detecting early stages of idiopathic scoliosis spinal deformity provides critical insights into screening protocols and diagnostic advancements for this common spinal condition. It emphasizes the importance of early detection through physical exams, forward-bending tests, and imaging, which are vital for timely interventions like bracing or physical therapy to prevent progression, particularly in children during growth spurts. The discussion of cost-effective screening algorithms and 3D quantification methods offers valuable guidance for healthcare providers and families, making it especially relevant for pediatric populations, seniors with spinal concerns, and individuals seeking to manage or mitigate disability risks associated with untreated scoliosis - Disabled World (DW).

Introduction

Hokkaido University researchers have developed a symmetry-recognition system for the surface of the human back that can three-dimensionally detect the early stages of idiopathic scoliosis, a type of spinal deformity, without the help of a specialist doctor.

Main Item

Individuals with idiopathic scoliosis, many of whom are pubescent girls, suffer from serious curvature of the spine. The disease has a characteristically high affliction rate, affecting one in 50 people.

Early detection of the progressive ailment is regarded as essential for treatment, as it is effective to wear a special brace when the spine is curved by 30 degrees or more. In recent years, genetic study of the disease has progressed, boosting the development of treatments.

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Image analyses of idiopathic scoliosis sufferers using a three-dimensional, back-surface-symmetry-recognition system. — Image analyses of idiopathic scoliosis sufferers using a three-dimensional, back-surface-symmetry-recognition system - Top: images of a case in which a patient is to be treated with a brace. The thoracic vertebra curves by 34 degrees. Bottom: images of a case in which a patient requires surgery. The thoracic vertebra curves by 60 degrees. (a): a three-dimensional image of the back's surface (b): based on image (a), the system evaluates the degree to which a patient's back deviates from the ideal symmetry for a human back within a few seconds. The larger the deviation, the deeper the color. (c): comparison to X-ray photos. Deviations in the image correspond with curvatures. Images: Hokkaido University/Noa Co., Ltd.

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In accordance with stipulations in the Japanese School Health and Safety Act, elementary and junior high schools conduct physical check-ups aimed at detecting idiopathic scoliosis. However, the law leaves it up to the respective medical associations or education boards in each municipality to decide how to conduct the checks, giving rise to regional gaps in the detection rate.

Another related problem is the burden placed on doctors who have to examine a large number of students within a limited time frame.

To address these issues, two scientists from different fields of research, Associate Professor Hideki Sudo of Hokkaido University's Graduate School of Medicine and Professor Satoshi Kanai of the Graduate School of Information Science and Technology developed a system to evaluate the level of asymmetry on the surface of the back when measured three-dimensionally.

In a collaboration between the university and Noa Co., Ltd., the researchers developed a prototype device for detecting idiopathic scoliosis. The device is expected to go through clinical testing so that it can be used in clinics and for physical examinations at schools.

The device three-dimensionally scans multiple points on the back, enabling the evaluation of the back's symmetry from any angle in a few seconds. In this way, it is expected to enable speedy and accurate detections of idiopathic scoliosis. In the future, the researchers hope to gain government approval for the clinical use of their device.

Insights, Analysis, and Developments

Editorial Note: Early detection remains the linchpin of effective scoliosis management. As this article underscores, combining routine screenings with emerging diagnostic tools can bridge gaps in care - particularly for vulnerable groups who may face delayed diagnoses. Prioritizing accessible, evidence-based protocols ensures better outcomes, reducing long-term physical and financial burdens on patients and healthcare systems alike. Understanding the subtle signs of idiopathic scoliosis can make a crucial difference in long-term spinal health. By raising awareness about early indicators, this article serves as a valuable resource for caregivers and healthcare professionals committed to promoting proactive, preventative care strategies, particularly for vulnerable groups like children, seniors, and those living with disabilities - Disabled World (DW).

Attribution/Source(s): This quality-reviewed publication was selected for publishing by the editors of Disabled World (DW) due to its relevance to the disability community. Originally authored by Hokkaido University and published on 2016/11/21, this content may have been edited for style, clarity, or brevity. For further details or clarifications, Hokkaido University can be contacted at global.hokudai.ac.jp NOTE: Disabled World does not provide any warranties or endorsements related to this article.