Machine Learning-Guided LIV Selection for Adolescent Idiopathic Scoliosis
A Prospective Randomized Controlled Trial of the Drum Tower Rule Machine Learning Model for Lowest Instrumented Vertebra Selection in Lenke Type 1 and Type 5 Adolescent Idiopathic Scoliosis
This study will evaluate whether a machine learning-based decision support model, called the Drum Tower Rule, can help surgeons select the lowest instrumented vertebra during corrective surgery for adolescent idiopathic scoliosis.
Patients with Lenke type 1 or Lenke type 5 adolescent idiopathic scoliosis who are scheduled for posterior spinal fusion will be randomly assigned to one of two groups. In the model-guided group, surgeons will receive the model-predicted risk of postoperative distal adding-on and a recommendation for lowest instrumented vertebra selection. In the conventional-experience group, surgeons will select the lowest instrumented vertebra according to routine clinical experience and existing surgical principles, without access to the model output.
All patients will receive standard posterior spinal fusion. The main outcome is the incidence of distal adding-on at 24 months after surgery, assessed by blinded radiographic reviewers.
研究概览
地位
条件
详细说明
Adolescent idiopathic scoliosis is a common spinal deformity in children and adolescents. For patients requiring corrective surgery, selection of the lowest instrumented vertebra is a key surgical decision. An inappropriate distal fusion level may increase the risk of postoperative distal adding-on, coronal imbalance, unnecessary loss of spinal mobility, or revision surgery.
The Drum Tower Rule is a machine learning-based decision support model developed to estimate the risk of postoperative distal adding-on and assist with lowest instrumented vertebra selection in patients with Lenke type 1 and Lenke type 5 adolescent idiopathic scoliosis. Before the start of this trial, the model, input variables, risk threshold, and software version will be locked and will not be modified during the study.
This is a single-center, prospective, randomized, open-label, parallel-group controlled trial with blinded outcome assessment. Eligible participants will be randomly assigned in a 1:1 ratio to either the model-guided group or the conventional-experience group. Randomization will be stratified by Lenke classification.
In the model-guided group, preoperative clinical and radiographic variables will be entered into the locked machine learning model. The model will generate a predicted risk of distal adding-on and a recommendation for lowest instrumented vertebra selection. For Lenke type 1 patients, the decision will focus on selection between one level proximal to the last substantially touching vertebra and the last substantially touching vertebra. For Lenke type 5 patients, the decision will focus on selection between L3 and L4. The surgeon will make the final decision after considering the model output and clinical judgment.
In the conventional-experience group, the surgeon will select the lowest instrumented vertebra based on routine clinical experience and existing surgical principles. The model output will not be provided to the surgeon for participants in this group.
Both groups will undergo standard posterior spinal fusion with an all-pedicle screw instrumentation system. Postoperative follow-up will be performed at 1 week and at 3, 6, 12, and 24 months after surgery. The primary outcome is the incidence of distal adding-on at 24 months after surgery. Secondary outcomes include number of fused segments, Cobb angle correction rate, coronal balance, sagittal radiographic parameters, Scoliosis Research Society-22 score, visual analog scale score for low back pain, complications, instrumentation failure, revision surgery, and adoption of model recommendations.
The primary outcome will be assessed by independent radiographic reviewers who are blinded to treatment allocation.
研究类型
注册 (估计的)
阶段
- 不适用
联系人和位置
学习联系方式
- 姓名:Xiaodong Qin, MD, PhD
- 电话号码:025-68182923
- 邮箱:gyethics@163.com
学习地点
-
-
Jiangsu
-
Nanjing、Jiangsu、中国、210008
- Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School
-
接触:
- Xiaodong Qin, MD, PhD
- 电话号码:025-68182923
- 邮箱:gyethics@163.com
-
-
参与标准
资格标准
适合学习的年龄
- 孩子
- 成人
接受健康志愿者
描述
Inclusion Criteria:
- Diagnosis of adolescent idiopathic scoliosis classified as Lenke type 1A or Lenke type 5C.
- Age 10 to 18 years, inclusive.
- Scheduled to undergo posterior spinal fusion using an all-pedicle screw instrumentation system.
- Planned selective thoracic fusion or selective lumbar fusion, with a clinical need for lowest instrumented vertebra decision-making.
- Availability of required preoperative standing full-spine radiographs and bending radiographs.
- Ability and willingness to complete the planned 24-month postoperative follow-up.
- Written informed consent provided by the participant and legal guardian.
Exclusion Criteria:
- - Congenital scoliosis, neuromuscular scoliosis, syndromic scoliosis, or other non-idiopathic scoliosis.
- History of spinal trauma, spinal tumor, spinal tuberculosis, or spinal infection.
- Previous spinal surgery.
- Severe sagittal spinal deformity, such as Scheuermann disease, for which the study model is not applicable.
- Neurological symptoms or signs.
- Leg length discrepancy greater than 10 mm.
- The surgeon determines that there is no clinical equipoise for lowest instrumented vertebra selection because one option is clearly contraindicated for safety or anatomical reasons.
- Inability to complete follow-up or required study assessments.
学习计划
研究是如何设计的?
设计细节
- 主要用途:治疗
- 分配:随机化
- 介入模型:并行分配
- 屏蔽:单身的
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
|
实验性的:Model-Guided Group
Participants in this group will undergo standard posterior spinal fusion.
Before surgery, preoperative clinical and radiographic variables will be entered into the locked Drum Tower Rule machine learning model.
The model will generate a predicted risk of distal adding-on and a recommendation for lowest instrumented vertebra selection.
The surgeon will make the final decision after considering the model output and clinical judgment.
|
A locked machine learning-based decision support model will be used before surgery to estimate the risk of postoperative distal adding-on and provide a recommendation for lowest instrumented vertebra selection.
The model output will be available to surgeons in the model-guided group only.
All participants will undergo standard posterior spinal fusion using an all-pedicle screw instrumentation system.
|
|
有源比较器:Conventional-Experience Group
Participants in this group will undergo standard posterior spinal fusion.
The surgeon will select the lowest instrumented vertebra according to routine clinical experience and existing surgical principles.
The Drum Tower Rule model output will not be provided to the surgeon for participants in this group.
|
All participants will undergo standard posterior spinal fusion using an all-pedicle screw instrumentation system.
The lowest instrumented vertebra will be selected by the surgeon according to routine clinical experience and existing surgical principles, without access to the Drum Tower Rule model output.
|
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Incidence of Distal Adding-on
大体时间:24 months after surgery
|
Distal adding-on is defined as an increase of more than 5 degrees in the disc angle below the lowest instrumented vertebra compared with the immediate postoperative radiograph, or an increase of more than 5 mm in the translation of the vertebra below the lowest instrumented vertebra relative to the central sacral vertical line.
The outcome will be assessed by blinded radiographic reviewers.
|
24 months after surgery
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Scoliosis Research Society-22 Score
大体时间:24 months after surgery
|
Health-related quality of life will be assessed using the Scoliosis Research Society-22 questionnaire.
|
24 months after surgery
|
其他结果措施
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Incidence of Surgery-Related Complications
大体时间:From surgery to 24 months after surgery
|
Surgery-related complications include perioperative complications, instrumentation failure, proximal junctional kyphosis, adjacent segment degeneration, pseudarthrosis, infection, and revision surgery.
|
From surgery to 24 months after surgery
|
合作者和调查者
出版物和有用的链接
一般刊物
- Weinstein SL, Dolan LA, Cheng JC, Danielsson A, Morcuende JA. Adolescent idiopathic scoliosis. Lancet. 2008 May 3;371(9623):1527-37. doi: 10.1016/S0140-6736(08)60658-3.
- Lenke LG, Betz RR, Harms J, Bridwell KH, Clements DH, Lowe TG, Blanke K. Adolescent idiopathic scoliosis: a new classification to determine extent of spinal arthrodesis. J Bone Joint Surg Am. 2001 Aug;83(8):1169-81.
研究记录日期
研究主要日期
学习开始 (估计的)
初级完成 (估计的)
研究完成 (估计的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
关键字
其他研究编号
- NDTH-20260578
计划个人参与者数据 (IPD)
计划共享个人参与者数据 (IPD)?
药物和器械信息、研究文件
研究美国 FDA 监管的药品
研究美国 FDA 监管的设备产品
此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.